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#mentalhealth — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #mentalhealth, aggregated by home.social.

  1. Happiness Bot @[email protected]

    Think of the last person you interacted with. How happy do you think you are relative to them? (I ask this question every day to gauge how happy the Fediverse is.) #happiness #poll #mentalhealth #psychology

    #happiness #poll #mentalhealth #psychology
  2. Sally The Flame 🔥 @sallytheflame

    RE: kolektiva.social/@helynbasil/1

    ‼️FAMILY IN SERIOUS NEED‼️

    ⭕ HILEN @helynbasil IS A YOUNG MAN WITH HOPES & DREAMS. HE & HIS SISTER WOULD LIKE TO CONTINUE THEIR EDUCATION. SADLY, FEW DONATIONS HAVE BEEN RECEIVED.

    THIS FAMILY ALSO HAS SERIOUS MEDICAL NEEDS‼️

    Please help by sharing & or donating.

    gofund.me/2cfedb2dd

    gaza-verified.org/people/@hely

    #gaza #palestine #humanrights #savegaza #helpgaza #gazafamily
  3. Healthcare IT Security Robot @[email protected]

    DATE: October 23, 2026 at 04:19PM
    SOURCE: HEALTHCARE INFO SECURITY

    Direct article link at end of text block below.

    4 Flaws Found in Widely Used #HealthDataExchange Software: Researcher Says #HAPI-#FHIR Vulnerabilities Put Patient Data, System Availability at Risk
    t.co/owc9K0q3UM #SmileCDR #SmileDigitalHealth

    Here are any URLs found in the article text:

    t.co/owc9K0q3UM

    Articles can be found by scrolling down the page at healthcareinfosecurity.com/ under the title "Latest"

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    Healthcare security & privacy posts not related to IT or infosec are at @HIPAABot . Even so, they mix in some infosec with the legal & regulatory information.

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    #security #healthcare #doctors #itsecurity #hacking #doxxing #psychotherapy #securitynews #psychotherapist #mentalhealth #psychiatry #hospital #socialwork #datasecurity #webbeacons #cookies #HIPAA #privacy #datanalytics #healthcaresecurity #healthitsecurity #patientrecords @infosec #telehealth #netneutrality #socialengineering

    #healthdataexchange #hapi #fhir #smilecdr #smiledigitalhealth #security
  4. Psychology News Robot @[email protected]

    DATE: October 23, 2026 at 04:00PM
    SOURCE: PSYPOST.ORG

    ** Research quality varies widely from fantastic to small exploratory studies. Please check research methods when conclusions are very important to you. **
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    TITLE: When politicians echo white replacement theory, extremist activity rises

    URL: psypost.org/when-politicians-e

    When political leaders publicly endorse white replacement conspiracy theories, their rhetoric is linked to measurable increases in real-world extremist activity. A recent analysis published in PLOS One shows that the repetition of these narratives by elected officials corresponds with upticks in white supremacist organizing. The research also highlights how such statements shape local public attention regarding immigration.

    White replacement theories are false narratives claiming that a secretive group is orchestrating mass immigration to replace a nation’s native-born population. These ideological tropes have periodically resurfaced across Western countries over the last century. In the United States, these conspiracy theories often suggest that white Christian conservatives are being intentionally reduced to a demographic minority. Historically, these ideas were confined to fringe extremist groups trying to recruit members and justify hostilities.

    Over the past decade, variations of these conspiracies have entered mainstream political discourse. Some politicians use explicit language about demographic replacement or foreign invasions. Others employ subtler versions of the narrative, alleging that left-leaning politicians are encouraging illegal immigration simply to secure future voters.

    Sociologists Jack Gabriel Risien Wippell and Laura Dugan from The Ohio State University wanted to see if these political statements translate into tangible social consequences. The researchers designed a study to evaluate how political endorsements of these theories relate to both general public interest and extremist mobilization. They hypothesized that signaling from prominent leaders might create a sense of emboldenment among individuals holding prejudiced views. By normalizing hostile language, elites can lower the perceived social risks of collective action and make extreme ideas seem viable.

    The researchers compiled a database of public statements made by federal and state legislators, as well as political candidates, between 2021 and 2023. They specifically isolated 25 endorsements of replacement theories that received coverage in major news outlets. To count as an endorsement, a statement had to reference immigration as a deliberate plot to replace a native population. By focusing on media-amplified statements, they ensured they were analyzing rhetoric that actually reached a broad audience.

    Wippell and Dugan first conducted a national analysis using weekly data spanning three years. They compared the timing and accumulation of the political endorsements against weekly Google Trends data for the topic of immigration. They also measured national extremist activity using data from the Anti-Defamation League, an open-source database compiled from news reports and government documents. This dataset provided a comprehensive record of white supremacist protests and public demonstrations.

    At the national level, the researchers found a positive association between the accumulation of these political statements and subsequent white supremacist events. As media reports of politicians endorsing replacement narratives piled up, the frequency of extremist demonstrations increased across the country. The relationship between the political rhetoric and national Google searches for immigration was not statistically significant.

    The research team then shifted their focus to a state-level analysis, evaluating the data on a monthly basis. They linked each political endorsement to the specific state represented by the politician making the claim. For this local analysis, they tracked state-level Google searches for immigration and expanded their extremist activity metrics to include the distribution of white supremacist propaganda.

    Within individual states, the associations were distinct and robust. When state representatives endorsed replacement theories, their specific constituencies experienced an increase in both white supremacist events and propaganda distributions. The data indicates that local political environments play a highly influential role in community-level extremist behavior.

    The state-level analysis also revealed a shift in general public attention. The accumulation of replacement theory endorsements by local politicians was tied to an increase in Google searches about immigration within their respective states. This suggests that politicians exert a stronger influence on the attention of their immediate constituents than on the broader national discourse.

    The researchers note a few limitations regarding how the data captures media exposure. Tracking the exact public reach of a news story is incredibly difficult, as clips and quotes often spread virally through person-to-person communication and unmonitored social networks. The study treats media exposure as a flat metric between statements, which likely underestimates the true societal spread of the rhetoric.

    The tools used to measure public attention also come with inherent caveats. Google Trends measures search interest for a topic relative to all other searches, rather than providing absolute search volumes. This means the data reflects proportional shifts in what the public is paying attention to within a limited attention economy.

    Finally, the relationship between political statements and public attention might not be a one-way street. Supplementary analyses by the researchers suggest a bidirectional dynamic at the state level. While political endorsements might draw public focus toward immigration, politicians might also be reacting to rising public interest by increasing their use of these narratives.

    The study, “Endorsing narratives of white replacement: Elite discourse, public attention, and extremist mobilization,” was authored by Jack Gabriel Risien Wippell and Laura Dugan.

    URL: psypost.org/when-politicians-e

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    #psychology #counseling #socialwork #psychotherapy @psychotherapist @psychotherapists @psychology @socialpsych @socialwork @psychiatry #mentalhealth #psychiatry #healthcare #depression #psychotherapist #WhiteReplacementTheory #Extremism #WhiteSupremacy #PoliticalRhetoric #Disinformation #Immigration #SocialScience #Research #PublicPolicy #Democracy

    #psychology #counseling #socialwork #psychotherapy #mentalhealth #psychiatry
  5. Psychology News Robot @[email protected]

    DATE: October 23, 2026 at 02:01AM
    SOURCE: SOCIALPSYCHOLOGY.ORG

    TITLE: Greece Passes Social Media Ban for Kids Under 15

    URL: socialpsychology.org/client/re

    Source: DW- top stories

    Greece has passed legislation banning social media access for children under 15. The new rules will come into effect on January 1, 2027, and are designed to protect children's mental health. Greece is one of seven EU countries seeking to introduce standards for age-verification on social media, which proponents argue will curb the "endless scrolling" that deprives kids of sleep, harms their ability to concentrate, and keeps them from playing...

    URL: socialpsychology.org/client/re

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    #psychology #counseling #socialwork #psychotherapy @psychotherapist @psychotherapists @psychology @socialpsych @socialwork @psychiatry #mentalhealth #psychiatry #healthcare #depression #psychotherapist #Greece #SocialMediaBan #ChildrenOnline #ChildSafety #MentalHealth #DigitalWellbeing #OnlineSafety #AgeVerification #SocialMedia #EUPolicy

    #psychology #counseling #socialwork #psychotherapy #mentalhealth #psychiatry
  6. Psychology News Robot @[email protected]

    DATE: October 23, 2026 at 02:00AM
    SOURCE: SOCIALPSYCHOLOGY.ORG

    TITLE: Summer Heat Killed Over 50,000 People in Europe's Cities, Study Finds

    URL: socialpsychology.org/client/re

    Source: Yahoo News - Top Headlines

    More than 50,000 people are estimated to have died across Europe's cities during the brutal heat waves that roiled the continent this summer, making this year's heat the region's deadliest on record, according to a new analysis. About two-thirds of the deaths—more than 32,600—are directly attributed to climate change, driven by fossil fuel pollution, according to the findings, published in two peer-reviewed papers in the journal Nature Health.

    URL: socialpsychology.org/client/re

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    #psychology #counseling #socialwork #psychotherapy @psychotherapist @psychotherapists @psychology @socialpsych @socialwork @psychiatry #mentalhealth #psychiatry #healthcare #depression #psychotherapist #ClimateChange #HeatWave #ExtremeHeat #Europe #ClimateCrisis #GlobalWarming #ClimateAction #PublicHealth #HeatDeaths #FossilFuels

    #psychology #counseling #socialwork #psychotherapy #mentalhealth #psychiatry
  7. Psychology News Robot @[email protected]

    DATE: October 23, 2026 at 02:00PM
    SOURCE: PSYPOST.ORG

    ** Research quality varies widely from fantastic to small exploratory studies. Please check research methods when conclusions are very important to you. **
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    TITLE: College-educated people aren’t Big Tech’s biggest fans. They’re its most conflicted, study suggests

    URL: psypost.org/college-educated-p

    Public opinion toward major technology corporations does not fall neatly along a simple spectrum from support to opposition, according to new research published in Research and Politics. Analyzing survey data from six countries, researchers found that higher levels of education are linked to mixed, conflicted views rather than outright enthusiasm for large tech firms. The study also indicates that political ideology is linked to these attitudes in distinct ways, with left-leaning individuals more likely to be skeptical and highly educated right-leaning individuals increasingly likely to hold ambivalent views.

    Big Tech refers to the largest and most dominant companies in the information technology industry, specifically global corporations such as Google, Apple, Meta, Amazon, and Microsoft. Beyond selling consumer products and digital services, these firms control the core infrastructure of modern communication, commerce, and emerging tools like artificial intelligence. Because their platforms influence how citizens find information, participate in public debates, and interact with democratic institutions, governments face growing questions about whether to regulate these companies more strictly or support their continued growth.

    Political scientists have spent considerable effort examining how technological shifts affect workers and voters, though less attention has gone toward how the public evaluates the specific corporations driving those changes. For example, a 2022 review noted that workplace automation and digitalization tend to divide the workforce into economic winners who favor the political status quo and routine workers who face job risks and gravitate toward populist politics. Similarly, a study covered by PsyPost in 2022 found that workers facing higher exposure to job automation were more likely to support radical-right parties and report lower satisfaction with democracy.

    When turning from workplace technology to the specific corporations behind it, Tobias Tober and colleagues at the University of Konstanz expected education and political ideology to guide public attitudes. In modern knowledge economies, which rely heavily on information and technical expertise rather than manual labor, university-educated individuals usually enjoy stronger job prospects and greater familiarity with digital tools. Prior work, including a 2024 cross-country survey, conducted in part by two of the same researchers, linked how much job risk people perceive from digitalization to how they want governments to respond. Based on these patterns, the authors initially expected highly educated people to view Big Tech companies positively.

    Ideology was also expected to play a central role, though in different ways across the political spectrum. Individuals on the political left generally distrust corporate monopolies, wealth inequality, and unchecked private power, which suggests they would view tech giants critically. On the political right, expectations are more complicated because traditional pro-business values favor large corporations, whereas right-wing populist movements often distrust the cultural and social shifts tied to digital capitalism.

    To test how these factors work in practice, the researchers commissioned the survey firm Kantar Public to collect data in June and July 2022 across six countries: Germany, Japan, Poland, Spain, Sweden, and the United States. The sample included 3,300 adults aged 18 to 64 in each country, totaling 19,800 respondents. The researchers used quota sampling for age, gender, and education so that the participants reflected the broader national populations of their respective countries.

    Participants rated their agreement on a five-point scale with six statements about the societal role of global technology companies like Amazon, Apple, Google, Facebook, and Microsoft. Three statements reflected positive contributions: providing useful services to the public, promoting innovation and economic development, and aiding democracy by offering a digital space for open debate. The other three statements captured negative impacts: undermining the national welfare state by avoiding taxes, weakening labor standards, and becoming so powerful that they threaten democracy.

    The researchers then used exploratory factor analysis, a statistical technique that groups related survey answers together to uncover underlying patterns in how people think. Rather than finding a single scale where positive views sit at one end and negative views sit at the other, the analysis pointed to two separate dimensions that barely correlated with each other. Agreeing with positive statements about Big Tech had almost no bearing on whether a person disagreed with negative statements.

    Next, the authors applied a grouping method called k-means cluster analysis to see how respondents combined these positive and negative evaluations. The researchers sorted the 19,800 participants into five profiles. The largest group was the neutral cluster (8,140 respondents), consisting of people who neither agreed nor disagreed with most statements, followed by the ambivalent cluster (5,114 respondents), who agreed with both positive and negative statements at the same time.

    The remaining participants fell into three smaller categories. Big Tech supporters (3,739 respondents) agreed with the positive statements and rejected the negative ones, while skeptics (2,123 respondents) endorsed the negative statements and rejected the positive ones. Finally, a small dismissive group (685 respondents) disagreed with both positive and negative characterizations of the industry.

    To see how education and ideology predicted membership in these five groups, the team ran statistical models that accounted for income and differences between countries, and the results held when they also accounted for technology use at home and at work. Education was divided into three levels based on international standards, ranging from lower secondary schooling up to university degrees. Political ideology was measured on an 11-point scale where respondents placed themselves from far left to far right.

    Contrary to the researchers’ initial expectations, higher education was not linked to a large jump in outright support for Big Tech. Moving from the lowest to the highest education level increased the predicted probability of being a supporter by only about 3 percentage points, and the probability of being a skeptic by about 2 percentage points. Instead, the probability of belonging to the ambivalent group rose from 22 percent among less educated respondents to 33 percent among university-educated respondents, while the likelihood of being neutral dropped from 43 percent to 30 percent.

    Political ideology also separated respondents in distinct ways, with people in the political center most likely to belong to the neutral group. Moving from the center to the far left increased the predicted probability of being a skeptic by about 10 percentage points. Moving from the center to the far right increased the probability of skepticism by about 6 percentage points, while raising the probability of belonging to the ambivalent group by roughly 10 percentage points. These patterns were broadly similar across the six countries, though with some differences.

    When the researchers looked at how education and ideology interacted, they found that ideological divisions were sharpest among university-educated citizens, with declining neutrality on the left translating mainly into higher skepticism. On the right, the pattern ran counter to the researchers’ expectations: there was some evidence that support declined toward the far right among the highly educated, while the probability of holding ambivalent views rose by about 16 percentage points from the political center to the far right. The authors suggest this may reflect a conflict between pro-market beliefs and conservative concerns over how tech platforms influence culture and speech.

    The authors also examined whether these five attitude groups aligned with policy preferences regarding government regulation and state financial or political backing for tech firms. Across the full sample, 38 percent of respondents favored stronger regulation of Big Tech, 20 percent opposed it, and 42 percent were undecided. Similarly, 32 percent favored giving the companies more economic and political support, 19 percent opposed doing so, and 49 percent remained undecided.

    Breaking these numbers down by group showed that attitude profiles closely tracked policy demands. Skeptics overwhelmingly backed stricter regulation at 82 percent and opposed government support for the industry at 65 percent, while supporters showed little appetite for regulation (23 percent in favor) and leaned toward government backing (40 percent in favor). Ambivalent respondents tended to want both interventions simultaneously, with 72 percent favoring more regulation and 46 percent favoring more government support.

    These patterns align with research covered by PsyPost earlier this year, which examined public beliefs regarding the economic and labor impacts of artificial intelligence rather than evaluations of Big Tech companies, and similarly found that political ideology structures technology-related attitudes and regulatory preferences. The heightened skepticism on the left is also broadly in line with a 2023 study covered by PsyPost, which analyzed sentiment in news coverage of artificial intelligence rather than public survey attitudes toward major tech corporations and found that liberal-leaning media outlets expressed more negative sentiment toward artificial intelligence than conservative outlets.

    To explain why higher education is linked to ambivalence rather than simple support, the authors propose an explanation drawn from a classic theory of how people form political opinions. In this view, education serves as a rough indicator of political awareness, so highly educated people may encounter more competing arguments about both the benefits and dangers of digital platforms. Rather than settling on a one-sided view, they may absorb both sets of arguments, or experience a clash between their economic preferences and cultural values, though the authors note their account remains incomplete.

    As with all research, there are some caveats to consider. Because the study relies on survey responses collected at a single point in time in 2022, it cannot establish cause-and-effect relationships or track how attitudes might have shifted following recent breakthroughs in generative artificial intelligence. The survey also included only adults aged 18 to 64 and used quota sampling rather than random sampling, so the results may not fully represent older adults or each country’s population as a whole. In addition, educational attainment overlaps with several other characteristics, such as income and digital literacy, making it difficult to isolate the exact reason why university graduates express more mixed views.

    The researchers also note that their analysis treats political messages as broadly similar across the six surveyed nations. In reality, political parties and news media frame technology debates differently across the United States, Japan, and Europe, which could create local variations that broad cross-national models only partly capture. Future studies could track how these public attitudes evolve over time in response to shifting political rhetoric and new regulatory laws.

    The study, “Big Tech, big risk? How education and ideology shape public attitudes toward Big Tech companies,” was authored by Tobias Tober, Marius R. Busemeyer, and Sebastian Koos.

    URL: psypost.org/college-educated-p

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    #psychology #counseling #socialwork #psychotherapy @psychotherapist @psychotherapists @psychology @socialpsych @socialwork @psychiatry #mentalhealth #psychiatry #healthcare #depression #psychotherapist #BigTech #Technology #TechCompanies #PublicOpinion #HigherEducation #PoliticalIdeology #TechRegulation #DigitalSociety #TechnologyPolicy #SocialScience

    #psychology #counseling #socialwork #psychotherapy #mentalhealth #psychiatry
  8. United States News Beep @[email protected]

    Non-Drug Breakthrough for Postpartum Depression

    Summary: A nationwide clinical trial led by researchers at the University of Colorado Boulder and Massachusetts General Hospital…
    #NewsBeep #News #US #USA #UnitedStates #UnitedStatesOfAmerica #Mentalhealth #depression #Health #MentalHealth #neurobiology #Neuroscience #neurotech #PostpartumDepression #PPD #Psychology #UniversityofColorado
    newsbeep.com/us/892036/

    #universityofcolorado #psychology #ppd #postpartumdepression #neurotech #neuroscience
  9. The Guardian Feeds @[email protected]

    We are reclaiming real life after getting rid of Instagram | Letters
    By Guardian Staff

    Readers on taking back their lives – and brains – from social media algorithms

    theguardian.com/technology/202

    #Instagram #Technology #Meta #Socialmedia #Mentalhealth #Digitalmedia #Media #Society #TheGuardian #GuardianStaff

    #instagram #technology #meta #socialmedia #mentalhealth #digitalmedia
  10. Compassion’s COMPASS @wilsonhurley

    Like the sky, the mind’s clear nature remains with us through life’s constant change, www.compassmethods.com. youtube.com/@compassionscompas

    #mentalhealth #life #love #compassion #wisdom
  11. The Writer Corner @[email protected]

    That time I was interviewed by PBS NewsHour

    And the shame of weight-gain https://www.youtube.com/watch?v=uUUKjQ3dKlI It was December 2025 and I saw my pictures from Thanksgiving and wow I hated how I looked; I asked my husband not to share the images, and he’s always said I looked beautiful no matter how I felt - but God, did I feel like those words were hollow. The ads for GLP-1s were everywhere on my tv screen, and on billboards here in Miami, where your appearance is your currency. It wasn’t like I wasn’t trying to lose […]

    juanmariazaragosa90.blog/2026/

    #author #blogging #glp1 #health #life #mentalhealth
  12. Europa @[email protected]

    Als eines der ersten EU-Länder: Griechenland untersagt soziale Medien für unter 15-Jährige

    Das griechische Parlament hat ein Social-Media-Verbot für Kinder und Jugendliche unter 15 Jahren verabschiedet. Die Regelung soll am…
    #EuropeSays #EU #Europa #Apps #DieEU #EuropäischeUnion #Griechenland #Jugend #MentalHealth(psychischeGesundheit) #Newsdesk
    europesays.com/europa/119093/

    #newsdesk #mentalhealth #jugend #griechenland #europaischeunion #dieeu
  13. Mater Draconis @[email protected]

    Macht das jetzt einen Fall erstrebenswert? 😂 🤔

    #dragon #help #friends #mastoArt #mentalHealth

    #dragon #help #friends #mastoart #mentalhealth
  14. United Kingdom News Beep @[email protected]

    ‘Depression isolated me from the world but Glasgow support hub gave me back my life’

    Michael Harley feels like “a totally different person” after talking therapy with practitioners at The Nook in Glasgow,…
    #NewsBeep #News #Mentalhealth #Glasgow #Health #InTheNews #MentalHealth #RealLife #UK #UnitedKingdom
    newsbeep.com/uk/811468/

    #unitedkingdom #uk #reallife #inthenews #health #glasgow
  15. Timika S Chambers @[email protected]

    Light eventually does what it is supposed to do:   shine

    You are light. Let your truth shine. Nourish the spiritual seeds within you to become who you are. 

    #faith #mentalhealth #mindset #personalgrowthjourney #booktok #writer #BookRecommendations #spirituality

    Timika 

    #faith #mentalhealth #mindset #personalgrowthjourney #booktok #writer
  16. Psychology News Robot @[email protected]

    DATE: October 23, 2026 at 10:00AM
    SOURCE: PSYPOST.ORG

    ** Research quality varies widely from fantastic to small exploratory studies. Please check research methods when conclusions are very important to you. **
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    TITLE: Testosterone may help new brain cells survive, and timing could matter

    URL: psypost.org/testosterone-may-h

    New research in male rats suggests that the timing and duration of testosterone exposure may influence whether newly born brain cells survive to maturity. The study, published in Neuroscience, indicates that testosterone may be most effective at boosting the survival of young neurons during the later stages of their development, particularly within a part of the hippocampus involved in spatial learning and memory. These findings offer new insight into how male sex hormones support brain plasticity in adulthood.

    Adult neurogenesis is the biological process by which the mature brain generates new functional nerve cells, or neurons, from dividing stem cells. This process takes place largely inside the hippocampus, a seahorse-shaped structure located deep within the brain’s temporal lobe that is essential for learning, memory formation, and stress regulation. Specifically, new cells are born along a thin band of tissue called the subgranular zone, located within a subregion of the hippocampus known as the dentate gyrus.

    Once these precursor cells divide, they migrate into the neighboring granule cell layer and begin extending communication fibers to other parts of the hippocampus. Over several weeks, the surviving cells mature into functional neurons that are highly excitable and adaptable, helping the brain form new circuits and store new memories. However, roughly half of all newly generated cells in the hippocampus naturally die off within the first month before they can fully integrate into the brain’s network.

    Hormones are among the major internal factors that regulate how many of these young cells survive. Testosterone, the primary male sex hormone, naturally declines as men age, and low circulating levels of the hormone are associated with an elevated risk of age-related memory decline and dementia, although results from clinical trials testing testosterone treatment for memory in older men have been mixed. In the body and brain, testosterone can act directly on androgen receptors or be converted by enzymes into other active hormones, such as estradiol, a form of estrogen, or dihydrotestosterone, a potent androgen.

    “Growing clinical evidence has shown that testosterone can improve or sustain memory in aging men, potentially reducing the risk and severity of age-related memory loss, including Alzheimer’s disease,” senior study author Mark D. Spritzer, a professor of biology at Middlebury College, told PsyPost. “One mechanism by which testosterone may be having these effects is by acting as a neuroprotectant in the brain. The hippocampus is a region of the brain that is essential for learning and memory, and it is an area that degrades with age.”

    Previous experiments in male rats have shown that removing the testes, and with them the main source of testosterone, does not change the rate at which new hippocampal cells are born, but it substantially reduces how many of those new cells survive. Restoring testosterone through daily injections for 30 consecutive days reliably rescues these young neurons. In contrast, several studies using shorter treatment windows of 15 to 21 days found no benefit for cell survival, while a recent experiment by the same research group showed that a brief five-day burst of testosterone given between days 11 and 15 after cell birth did improve survival.

    This pattern raised questions about whether testosterone needs to build up over a full month to protect new neurons, or if young cells are simply more sensitive to the hormone during specific developmental stages. Between 11 and 30 days after birth, maturing neurons go through a sensitive window where they begin forming active connections, or synapses, with other brain regions. During this same timeframe, chemical signals from a neurotransmitter called GABA shift from exciting the young cells to inhibiting them, a transition that promotes proper maturation.

    “We had previously shown that testosterone injections can improve levels of adult neurogenesis (proliferation and maturation of new neurons) within the hippocampus,” Spritzer explained. “However, we did not know whether or not specific periods of neuron development were more strongly influenced by testosterone. Therefore, the current experiment involved giving rats testosterone during different stages of neural development to assess the effects on adult neurogenesis. The ultimate goal is to better understand how testosterone influences the brain and cognition.”

    To resolve the contradictions in earlier work, Spritzer, lead author Tatum W. Hamilton, and their colleagues at Middlebury College designed an experiment to test how different windows of testosterone exposure affect neuron survival at 30 days of age. They directly compared a full 30-day treatment against two 15-day treatments covering either the first half or the second half of the cells’ 30-day maturation period.

    The researchers worked with 43 adult male Sprague-Dawley rats that were approximately 60 days old at the start of the study. All rats were housed individually to control for social variables, as prior work showed that testosterone’s effects on the brain are easier to detect in individually housed animals. One week after arriving at the laboratory, all of the rats underwent surgical castration to remove their natural source of testosterone, allowing the scientists to precisely control hormone levels through injections.

    Eleven days after surgery, every rat received a single abdominal injection of bromodeoxyuridine, a synthetic compound commonly known as BrdU. When cells divide, they incorporate BrdU into their newly synthesized DNA, which permanently tags the exact batch of cells born during the brief window after the injection. By waiting 30 days and then counting how many BrdU-tagged cells remain in the brain, scientists can measure the survival rate of that specific generation of cells.

    Starting the day after the BrdU injection, the rats were divided into six groups of six to eight animals each. Half of the groups received daily injections of testosterone propionate at a high physiological dose of 0.500 milligrams per rat; earlier work by the same group found that a lower dose of 0.125 milligrams had no effect on new neuron survival. The other half received inert sesame oil injections as a comparison control. These injections were administered during one of three time windows following the BrdU tag: an early period (days 1 to 15), a late period (days 16 to 30), or the full period (days 1 to 30).

    On day 31, the researchers collected blood samples to verify hormone levels and extracted the rats’ brains for microscopic analysis. They sliced the entire hippocampus into thin sections and used chemical staining techniques to make the BrdU-tagged cells visible under a light microscope. A researcher who was blinded to which treatment each rat received counted the labeled cells across the granule cell layer and subgranular zone, as well as in an adjacent area called the hilus to check whether any changes were specific to the neurogenic zone.

    The team also divided their cell counts between the dorsal (top/front) and ventral (bottom/back) portions of the dentate gyrus, because these two zones serve different functions. The dorsal hippocampus is primarily involved in spatial navigation and memory, whereas the ventral hippocampus mainly regulates stress and anxiety. Finally, using a laser-scanning confocal microscope and fluorescent markers, the researchers examined 50 randomly selected BrdU-tagged cells per rat to see how many also contained NeuN, a nuclear protein found in mature neurons.

    Blood tests confirmed that rats receiving testosterone during the late period and the full 30-day period had elevated serum testosterone concentrations at the end of the experiment, averaging about 5.7 nanograms per milliliter, compared to less than 0.3 nanograms per milliliter in the oil-treated groups and the early-period testosterone group, which had stopped receiving hormone injections 16 days earlier.

    Across the entire dentate gyrus, rats treated with testosterone had higher numbers of surviving BrdU-labeled cells in the neurogenic zone than rats given oil. Planned statistical comparisons between the hormone and oil groups within each time window showed that only the full 30-day testosterone treatment produced a statistically significant increase across the whole structure. Rats given testosterone during the late window (days 16 to 30) showed a trend toward higher cell survival across the whole dentate gyrus that fell just short of statistical significance, while early treatment (days 1 to 15) had no effect.

    “The results suggest that testosterone may have an additive effect, which is a novel finding,” Spritzer noted. “Namely, longer exposure to testosterone increased neurogenesis to a greater degree.”

    When the researchers examined the dorsal and ventral regions separately, a more specific pattern emerged. In the dorsal dentate gyrus, testosterone increased cell survival in both the full 30-day group and the late 16-to-30-day group, while the early 1-to-15-day group showed no benefit over oil injections. In the ventral dentate gyrus, testosterone had no effect on cell survival during any of the three treatment windows, although rats injected during the early period unexpectedly had fewer surviving cells in this region than rats injected during the late or full periods regardless of whether they received hormone or oil.

    Fluorescent microscopy confirmed that roughly 79 to 87 percent of the surviving BrdU-tagged cells had matured into NeuN-positive neurons across all groups, regardless of whether the rats received testosterone or oil. Because the hormone did not alter the proportion of new cells that became neurons, the higher BrdU counts can be read as a greater number of surviving new neurons. No treatment differences were found in the overall tissue volume of the dentate gyrus or in cell counts within the neighboring hilus region.

    Together, these results suggest that maturing neurons in the dorsal hippocampus are especially responsive to testosterone when they are between two and four weeks old. Because the dorsal hippocampus governs spatial learning, the authors note that this regional sensitivity aligns with past behavioral experiments showing that testosterone improves spatial working memory in male rats. The hormone may help preserve new cells during this late window by blocking programmed cell death, boosting supportive growth proteins like brain-derived neurotrophic factor, or aiding the transition of GABA signals as young neurons wire into existing brain circuits.

    “We demonstrated that testosterone enhances adult neurogenesis, with the effects being strongest during the later stages of neuronal development,” Spritzer said. “These results suggest that testosterone may be a useful therapeutic target for helping to sustain neuroplasticity, among men in particular.”

    There are a few things to keep in mind when interpreting these findings. First, the experiment was conducted in surgically castrated young adult rats housed in social isolation, which does not mirror the gradual, partial hormone decline experienced by aging men in daily life. Second, the blood and brain tissue were collected 24 hours after the final testosterone injection for the full and late groups, but 16 days after the final injection for the early group. The authors raise the possibility that this gap helps explain why early treatment showed no benefit, but note that this explanation would require new cells to die off at a steady rate throughout development, which earlier research does not support.

    “This was preclinical research conducted with rats, so it cannot be extrapolated directly to humans,” Spritzer cautioned. “However, it is suggestive that testosterone may have therapeutic value. Of importance was that we used a high physiological dose of testosterone, and the effects of dose levels have not been considered carefully in past human clinical studies involving testosterone.”

    Spritzer also pointed out that boosting cell survival without limit is not necessarily the goal. “One challenge with neurogenesis research is the assumption that more is always better,” he added. “There is likely an optimal level of adult neurogenesis for best brain functioning.”

    In addition, the overall statistical analysis did not show that testosterone’s effect differed across the three time windows, so the conclusions about timing rest on separate comparisons within each window, each involving only six to eight rats per group. The study also did not directly measure the molecular pathways inside the cells, so it remains uncertain whether testosterone acted through androgen receptors, estrogen receptors, or downstream growth factors during that 16-to-30-day window. Nor did it test whether the extra neurons translated into better learning or memory. Future research will need to test these specific molecular mechanisms and examine whether similar timing effects apply to older animals or females.

    “Now that we know more about the stages of neural development that are influenced by testosterone, assessing the molecular mechanism will be important,” Spritzer said. “Testosterone is metabolized in the brain and likely has many effects on neuronal development, which should be explored.”

    The study, “Effects of testosterone upon the survival of new neurons in the dentate gyrus of adult male rats,” was authored by Tatum W. Hamilton, Ezra J. LeMole, Grace K. Nadecki, Jordan M. Gardner, Quinn P. Kennedy, Kathryn A. Blek, and Mark D. Spritzer.

    URL: psypost.org/testosterone-may-h

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  23. Psychology News Robot @[email protected]

    DATE: October 23, 2026 at 09:00AM
    SOURCE: PSYPOST.ORG

    ** Research quality varies widely from fantastic to small exploratory studies. Please check research methods when conclusions are very important to you. **
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    TITLE: People who believe conspiracy theories overestimate how many others agree, new research finds

    URL: psypost.org/people-who-believe

    Reading a conspiracy theory does more than just introduce a suspicious narrative; it also inflates a person’s estimate of how many other people believe the claim is true. According to new research published in the European Journal of Social Psychology, this exaggerated sense of public agreement may help explain why people come to accept conspiracy theories after encountering them. In one of the experiments, showing people concrete statistical data about how few others actually endorsed these claims reduced their own belief in them.

    Conspiracy theories are explanations for events that assume multiple actors are secretly working together to achieve a harmful or unlawful goal. When people feel uncertain about how to interpret events, they often look to others for cues on what to think or do. Psychologists refer to these cues as descriptive norms, which are perceptions of how common a particular belief or behavior is within a group. Relying on descriptive norms is a form of social proof, where people assume that if many others hold a view, that view is likely valid.

    Although conspiracy theories frequently draw massive attention online, actual believers usually represent a minority of the broader public. Still, those who endorse these narratives often assume their views are widely shared. For example, a 2021 study of British participants found that people consistently overestimated how much their peers believed in conspiracy theories, and that thinking peers endorsed these ideas strongly predicted a person’s own belief. Similarly, a 2023 study in Turkey indicated that people who believed local conspiracy theories overestimated how many ordinary citizens and experts agreed with them.

    Correcting these misperceptions can alter how people think. In a 2021 experiment with British parents, showing participants that most other parents rejected anti-vaccine conspiracy theories reduced their own endorsement of those claims. Building on this foundation, the new research was led by Jan-Willem van Prooijen, head of the Social Psychology section at Vrije Universiteit Amsterdam, senior researcher at the Netherlands Institute for the Study of Crime and Law Enforcement, and endowed professor of radicalization, extremism, and conspiracy thinking at Maastricht University.

    He and his colleagues wanted to test whether simply encountering a conspiracy theory inflates perceived descriptive norms, and whether providing hard data on public skepticism can reduce belief in a wide variety of general conspiracy theories.

    “People often encounter conspiracy theories, for instance online,” van Prooijen told PsyPost. “One problem is that extreme voices that spread conspiracy theories (e.g., online influencers) sometimes get excessive exposure. That might raise the impression that these conspiracy theories are more widely believed than is actually the case. We wanted to examine these dynamics in our research: Do conspiracy beliefs depend on how normative people think they are, and can we use these insights to develop an intervention?”

    To investigate these questions, the researchers conducted six online studies totaling 2,906 participants from the United States and the United Kingdom. All six studies were preregistered, meaning the researchers publicly recorded their hypotheses and analysis plans before collecting data.

    In the first pair of studies, the researchers examined the relationship between personal conspiracy beliefs and perceived norms using 300 American participants in Study 1a and 299 British participants in Study 1b. Participants rated how plausible they found 10 popular conspiracy claims, such as the idea that the 9/11 terrorist attacks were an inside job by the U.S. government, on a scale from 0 to 100, and then used the same scale to estimate the average plausibility rating given by the other participants in the study.

    In both countries, the actual average belief in these 10 theories was relatively low, sitting at 33.09 out of 100 in the American sample and 34.16 in the British sample. However, participants estimated the group average to be higher, guessing 39.85 in the United States and 42.30 in the United Kingdom. Those who strongly endorsed the conspiracy theories themselves were much more likely to think other participants believed them too, with strong correlations of 0.65 in the U.S. sample and 0.71 in the U.K. sample, and their estimates of the group average were less accurate than the estimates of skeptics.

    The researchers also tested whether conspiracy believers saw themselves as standing out from the crowd, given that past research has linked conspiracy belief to a desire to feel unique. By comparing each person’s own rating to their estimate of the group rating, the team found that stronger believers saw the gap between their own views and the group’s as no larger than skeptics did.

    These initial findings align with research covered by PsyPost in 2025, which found that individuals who are overconfident in their thinking abilities tend to hold stronger conspiracy beliefs and vastly overestimate how many others agree with them.

    Because the first two studies only looked at correlations, the researchers next tested whether reading a conspiracy theory directly causes people to think the idea is popular. They recruited 505 American participants for Study 2a and 501 British participants for Study 2b. In each study, half of the participants were randomly assigned to read an anonymous blog post claiming that pharmaceutical companies secretly suppress medical cures to boost their profits, while the other half read a blog post arguing that pharmaceutical companies do not hide cures.

    After reading and summarizing the text, participants rated their own belief in four statements about pharmaceutical conspiracies on a 0 to 100 scale, and estimated how the other participants in the study rated them. In the American sample, reading the conspiratorial blog post raised personal belief to an average of 61.78, compared to 49.46 among those who read the non-conspiratorial text. It also pushed estimates of other people’s belief up to 62.64, compared to 51.00 in the control group.

    The British sample in Study 2b showed the same pattern. Personal belief averaged 59.78 after reading the conspiracy post versus 41.99 in the control group, while estimates of others’ beliefs rose to 60.28 compared to 46.41 in the control condition. Statistical mediation analyses were consistent with the idea that the increase in personal belief ran through this heightened sense that others believed the claim. But the reverse pattern, in which people’s newly strengthened beliefs shaped their guesses about others, also fit the data, so these analyses cannot establish which came first.

    “One reason why people believe conspiracy theories is because they assume many others believe them as well,” van Prooijen explained. “Conspiracy beliefs thus spread via social influence processes. Understanding these processes can help design effective interventions to reduce conspiracy beliefs.”

    To test whether changing perceived norms can directly alter conspiracy beliefs, the researchers manipulated the norm information given to participants in Studies 3 and 4. In Study 3, 501 American participants were presented with six popular conspiracy theories, such as the claim that the government uses subliminal messages on television. Half were told that “especially many” previous participants found the statements plausible, while the other half were told that “only a few” found them plausible.

    This vague wording did not produce a statistically significant difference between the two groups. Participants told that many others believed the claims scored an average of 44.48 out of 100 on personal belief, compared to 41.65 among those told that few others believed them. The authors noted that words like “many” and “few” are open to personal interpretation; for instance, learning that even 10 percent of the public believes an extreme claim might still register as a large number to some people. Because this study did not measure whether participants’ sense of the norm actually shifted, the authors acknowledge another possibility: that people do not take their cues from norm information at all, and that the link seen in earlier studies reflects people projecting their own beliefs onto others.

    In Study 4, the team tested whether providing specific, factual statistics would be more effective. They recruited 800 American participants and showed them eight conspiracy theories from the first study. Half of the participants saw a bar chart for each theory displaying the actual distribution of ratings from Study 1a, along with the median score and a note explaining that most participants did not find the statement plausible at all. The other half saw the conspiracy statements without any statistical data.

    Providing concrete data shifted how participants viewed both the public consensus and the theories themselves. Those who saw the charts estimated the previous group’s average belief at 20.95 out of 100, compared to 38.34 among those who received no data. In turn, personal endorsement of the conspiracy theories dropped to an average of 24.06 in the group that saw the factual charts, compared to 33.70 in the control group.

    “We have done two studies testing the intervention, but it only worked if we gave people factual statistical information of how few people believed a conspiracy theory,” van Prooijen noted. “If we provided more abstract information, only stating that ‘few people’ believe the theory without providing concrete numbers, the intervention did not work. It remains speculative why that is the case, but it is nevertheless informative for future interventions based on this research.”

    “The practical significance is that these insights quite directly suggest an intervention to reduce conspiracy beliefs,” van Prooijen said. “We have tested the effects of exposing people to factual statistical information of how widespread belief in a particular conspiracy theory is. Such information often clarifies to people that a conspiracy theory actually is not widely endorsed at all, which decreases the likelihood that people will believe the theory themselves.”

    As with all research, there are some caveats to consider when interpreting these results. Participants in brief online experiments may partly respond the way they think researchers expect, which the authors note could mean these effects are smaller in everyday life, and the “others” in these studies were fellow online participants rather than the broader population. In addition, social media algorithms and online communities can surround users with like-minded believers, creating environments where conspiracy theories genuinely are the local norm.

    “It is important to keep in mind that in everyday life, these processes are likely to be more complicated,” van Prooijen said. “For instance, we examined the effects of exposing people to conspiracy theories on their perceptions of how normative belief in these theories is. But in real life, people to some extent also choose what information they wish to be exposed to. People may for instance actively search the Internet looking for conspiracy theories, and be motivated to think belief in these theories is widely shared.”

    The authors also point out that factual norm interventions could backfire if applied to the rare conspiracy theories that actually are endorsed by a majority of the public, such as theories surrounding the assassination of John F. Kennedy. Future studies could examine how these social processes operate in real-world online networks and in more collectivistic cultures, where pressure to conform to group norms may be even stronger.

    “An important caveat is that the intervention that we tested might only work in communities where a particular conspiracy theory is indeed not so widespread,” van Prooijen added. “Some conspiracy theories ARE widespread, for instance in the general population (e.g., about the Kennedy assassination), or in specific groups (e.g., online anti-vaccination groups). These are complications that need to be investigated further, and are important to take into account before putting these insights into practice.”

    “We were excited to see that our findings almost naturally suggested an intervention, which indeed had the anticipated effects,” he continued. “At the same time, the intervention was successful in only one experiment. We need more testing to assess the effectiveness of this approach. One possible goal is to examine these issues in a longitudinal design: What is the long-term effectiveness of an intervention based on information about descriptive norms?”

    The study, “Everyone Knows It’s a Hoax: The Role of Perceived Descriptive Norms in Conspiracy Beliefs,” was authored by Jan-Willem van Prooijen, Paul K. Bergmann, Vladimira Čavojová, and Jakub Šrol.

    URL: psypost.org/people-who-believe

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  31. Psychology News Robot @[email protected]

    DATE: October 23, 2026 at 08:00AM
    SOURCE: PSYPOST.ORG

    ** Research quality varies widely from fantastic to small exploratory studies. Please check research methods when conclusions are very important to you. **
    -------------------------------------------------

    TITLE: Sugar restriction in early life is linked to lower dementia risk and slightly slower brain aging decades later

    URL: psypost.org/sugar-restriction-

    An analysis of UK Biobank data found that people who were exposed to Britain’s sugar rationing in the womb and during their first years of life had a 27% lower risk of dementia, a 46% lower risk of Alzheimer’s disease, an 11% lower risk of depression, and a 20% lower risk of anxiety compared with people born after rationing ended. Brain scans also suggested slightly slower brain aging in this group. The paper was published in npj Aging.

    Neurological and psychiatric disorders such as dementia, depression, and anxiety place a growing burden on individuals, healthcare systems, and societies worldwide. Increasing evidence suggests that some of the factors influencing these conditions may begin acting very early in life, during sensitive periods of brain development.

    The first 1,000 days of life, beginning in pregnancy and continuing through infancy, are considered especially important for shaping long-term health. Nutrition is one of the major environmental influences during this period because the developing brain depends heavily on an adequate and balanced supply of nutrients. At the same time, modern diets often expose pregnant women, breastfeeding mothers, and young children to large amounts of added sugar.

    This has raised concerns that high sugar intake early in life could have lasting effects on brain development and later mental health. Biological studies suggest that excessive sugar exposure may promote inflammation and disturb systems involved in the body’s response to stress. Poor maternal metabolic health, including elevated blood glucose, has also been associated with a greater risk of conditions such as attention-deficit/hyperactivity disorder and anxiety in children.

    Study author Xingji Lian of Guangzhou First People’s Hospital and Guangzhou Medical University in China and colleagues set out to examine whether limited sugar exposure early in life was linked to mental and brain health in older age. Because randomized trials restricting sugar during pregnancy and infancy would be impractical and unethical, the researchers turned to history. The U.K. rationed sugar between 1942 and 1953, limiting intake to levels in line with current dietary guidelines and providing no sugar ration for children under two years of age.

    Sugar rationing ended in September 1953, and average adult sugar consumption nearly doubled almost immediately, while intake of other major foods remained stable. This allowed the researchers to treat the policy change as a natural experiment, comparing people conceived while rationing was in place with people conceived after it ended. A previous study using the same natural experiment, published in Science, linked early exposure to rationing to lower risks of type 2 diabetes and high blood pressure.

    The researchers drew on the UK Biobank, a large long-term research project that has collected genetic, health, lifestyle, and medical imaging data from about half a million people in the United Kingdom. They examined diagnoses of dementia, Alzheimer’s disease, Parkinson’s disease, depression, and anxiety, along with brain scans that allowed them to estimate each person’s brain age.

    The analysis included 60,394 participants born between October 1951 and March 1956. Of these, 38,227 were conceived while rationing was in place (born between October 1951 and June 1954), including 9,963 born between October 1953 and June 1954, who were exposed to rationing only in the womb. The remaining 22,167 participants, born between July 1954 and March 1956, served as the comparison group, and a subset of 9,053 participants without brain disorders had brain scans.

    People exposed to rationing both in the womb and after birth had lower risks of dementia, Alzheimer’s disease, depression, and anxiety than the comparison group, after the researchers accounted for factors such as region and month of birth, socioeconomic status, education, family history, and genetic risk scores. Those exposed only in the womb had a 10% lower risk of anxiety but showed no meaningful differences for the other conditions. Rationing was not associated with Parkinson’s disease.

    Because participants were only in their late 60s or early 70s by the end of follow-up, the dementia findings rested on relatively few cases: 307 people had been diagnosed with dementia and 123 with Alzheimer’s disease. By comparison, 7,015 had been diagnosed with depression and 4,011 with anxiety.

    Longer exposure to rationing after birth was associated with progressively lower risks of depression and anxiety, with the associations becoming more pronounced after six months. For example, participants exposed to rationing for 12 months after birth had a 23% lower risk of depression and a 28% lower risk of anxiety, and the lowest risks were seen in those exposed for 24 months. No such pattern appeared for dementia or Alzheimer’s disease.

    The associations were most consistent in women, who showed lower risks of Alzheimer’s disease, depression, and anxiety. In men, the only reliable reduction was for anxiety.

    In the brain imaging analyses, people exposed to rationing after birth had brains that looked about 0.39 years, or roughly five months, younger relative to their actual age than those of the comparison group. They also tended to have larger volumes in several deep brain structures, including the hippocampus, thalamus, and putamen, and lower contrast between gray and white matter across much of the cortex, a finding the authors say could reflect several different tissue changes and should be considered preliminary. Exposure only in the womb showed few associations with brain structure.

    “These quasi-experimental findings suggest that early-life sugar restriction is associated with attenuated neurobiological aging and lower risks of dementia and psychiatric disorders, suggesting sugar intake as a potential modifiable factor of lifelong brain health,” study authors concluded.

    The study contributes to the scientific understanding of the long-term consequences of early nutritional patterns. However, it should be noted that the end of sugar rationing coincided with broader post-war economic recovery, improved maternal healthcare, and changing infant feeding practices, all of which may have independently influenced brain development. Rationing of other foods also ended by July 1954, although consumption of those foods changed only slightly. Because of this, it remains uncertain how much of the observed differences are due to sugar alone.

    Individual sugar intake was not measured; exposure was inferred from participants’ birth dates. Diagnoses of depression and anxiety relied partly on self-reports and primary care records, and participants grew up in a post-war, predominantly white British setting that may not reflect the experiences of children today. The authors say the findings need to be replicated in contemporary groups with detailed dietary information before informing clinical or public health recommendations.

    The paper, “Early-life sugar rationing, brain aging, and long-term neurodegenerative and psychiatric health outcomes: a population-based natural experiment study,” was authored by Xingji Lian, Amei Chen, Xiaoyan Zhu, Yuyu Huang, Chongzhe Yang, Yan Huang, Meilong Ran, Longyan Yin, and Bing Zhang.

    URL: psypost.org/sugar-restriction-

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  34. Psychology News Robot @[email protected]

    DATE: October 23, 2026 at 07:02AM
    SOURCE: SCIENCE DAILY PSYCHIATIRY FEED

    TITLE: Breakthrough PTSD treatment achieves 68% remission rate in clinical trial

    URL: sciencedaily.com/releases/2026

    A newly FDA-cleared PTSD treatment uses personalized brain mapping and magnetic stimulation to target abnormal brain activity, with a clinical trial reporting a 52% reduction in symptoms and 68% remission. Researchers believe the technology could transform PTSD care and pave the way for more precise treatments for other mental health conditions.

    URL: sciencedaily.com/releases/2026

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  35. Psychology News Robot @[email protected]

    DATE: October 23, 2026 at 07:02AM
    SOURCE: SCIENCE DAILY PSYCHOLOGY FEED

    TITLE: Breakthrough PTSD treatment achieves 68% remission rate in clinical trial

    URL: sciencedaily.com/releases/2026

    A newly FDA-cleared PTSD treatment uses personalized brain mapping and magnetic stimulation to target abnormal brain activity, with a clinical trial reporting a 52% reduction in symptoms and 68% remission. Researchers believe the technology could transform PTSD care and pave the way for more precise treatments for other mental health conditions.

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  36. Psychology News Robot @[email protected]

    DATE: October 23, 2026 at 04:28AM
    SOURCE: SCIENCE DAILY PSYCHOLOGY FEED

    TITLE: Scientists discover a hidden messaging system deep inside the brain

    URL: sciencedaily.com/releases/2026

    A tiny region deep within the brain has surprised scientists by revealing a remarkably sophisticated communication system. Previously thought to broadcast the same chemical signal throughout the brain, this region actually sends targeted messages that help control learning, attention, and behavior, according to new research in mice.

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  38. Psychology News Robot @[email protected]

    DATE: October 23, 2026 at 07:02AM
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    TITLE: Breakthrough PTSD treatment achieves 68% remission rate in clinical trial

    URL: sciencedaily.com/releases/2026

    A newly FDA-cleared PTSD treatment uses personalized brain mapping and magnetic stimulation to target abnormal brain activity, with a clinical trial reporting a 52% reduction in symptoms and 68% remission. Researchers believe the technology could transform PTSD care and pave the way for more precise treatments for other mental health conditions.

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  39. Psychology News Robot @[email protected]

    DATE: October 23, 2026 at 06:10AM
    SOURCE: SCIENCE DAILY MIND-BRAIN FEED

    TITLE: Scientists discover a surprising double benefit of exercise for Parkinson’s

    URL: sciencedaily.com/releases/2026

    A seven-year study found that people with Parkinson’s disease who were more physically active experienced slower declines in memory, thinking, and movement abilities. Those exercising more than eight hours per week showed almost no average cognitive decline, suggesting that staying active may offer important benefits as the disease progresses.

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  40. Psychology News Robot @[email protected]

    DATE: October 23, 2026 at 04:28AM
    SOURCE: SCIENCE DAILY MIND-BRAIN FEED

    TITLE: Scientists discover a hidden messaging system deep inside the brain

    URL: sciencedaily.com/releases/2026

    A tiny region deep within the brain has surprised scientists by revealing a remarkably sophisticated communication system. Previously thought to broadcast the same chemical signal throughout the brain, this region actually sends targeted messages that help control learning, attention, and behavior, according to new research in mice.

    URL: sciencedaily.com/releases/2026

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    Job Loss and Cortisone Mania

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  43. Psychology News Robot @[email protected]

    DATE: October 23, 2026 at 07:00AM
    SOURCE: PSYPOST.ORG

    ** Research quality varies widely from fantastic to small exploratory studies. Please check research methods when conclusions are very important to you. **
    -------------------------------------------------

    TITLE: “AI psychosis” appears rare but real, and first-episode patients may be most vulnerable, study suggests

    URL: psypost.org/ai-psychosis-appea

    A review of electronic health records at a large medical center suggests that conversational artificial intelligence chatbots are associated with worsening psychotic symptoms in a small fraction of mental health patients. These interactions tend to validate preexisting delusions and appear to occur most frequently among patients experiencing their very first episode of psychosis. The findings were published in JAMA Psychiatry.

    Psychosis is a psychiatric condition in which a person loses touch with reality, often experiencing hallucinations or delusions, which are firmly held false beliefs that persist despite contradictory evidence. These false beliefs frequently adapt to reflect the surrounding culture and the latest consumer gadgets. For example, a study covered by PsyPost in 2025 found that more than half of patients experiencing delusions incorporated modern technology, such as smartphones and social media algorithms, into their false beliefs.

    Unlike passive technologies like television or radio, modern artificial intelligence chatbots actively converse with users in real time. Some researchers have used the term “AI psychosis” for cases in which chatbot interactions are linked to emerging or worsening psychotic symptoms. The author of a 2023 commentary argued that chatbot conversations feel so realistic that users can sense a real person on the other end while knowing there isn’t one, and that this tension might fuel delusions in people prone to psychosis.

    Subsequent medical observations began to back up these early warnings. A 2025 study of psychiatric records in Denmark, first released as a preprint and since published in a peer-reviewed journal, identified 38 patients whose mental health appeared to suffer after using chatbots, most commonly through the worsening of their delusions. While early reports and the Danish data established that the phenomenon exists in clinical settings, researchers still lacked systematic data from the United States examining the specific traits of affected patients and the exact roles chatbots play in their illness.

    To address this, Zachary Bergson and senior author Julia M. Sheffield, who leads the Sheffield Lab and is an associate professor of psychiatry and behavioral sciences at Vanderbilt University Medical Center, along with their colleagues, conducted a systematic analysis of patient records at their institution. They aimed to estimate how often AI psychosis appears in a large American hospital system, identify the clinical characteristics of the affected individuals, and categorize how chatbot conversations interact with psychotic symptoms.

    “The study was motivated by the lack of published data on the prevalence and characteristics of AI Psychosis,” Sheffield told PsyPost. “Many theoretical articles had been published, but very few empirical studies existed at the time we started. We wanted to understand simply: 1) at Vanderbilt, how prevalent is AI Psychosis? 2) what generally characterizes AI Psychosis cases in terms of demographics and psychiatric history, compared to other individuals with psychosis who have reference to AI in their medical record but did not develop AI Psychosis.”

    The researchers searched an electronic health record database containing 578,058 medical progress notes from 215,712 unique patients who received behavioral health care between December 1, 2022, and April 15, 2026. They filtered these records for keywords related to artificial intelligence and narrowed the pool to patients who had a documented diagnosis of a psychotic disorder. Two raters manually reviewed the resulting notes to remove irrelevant matches, ultimately identifying 187 medical encounters across 73 unique patients.

    The team divided these 73 patients into three distinct groups based on how they interacted with the technology, with raters agreeing on the group assignment 86.1% of the time. The first group, labeled “neutral interaction,” included 17 patients who used chatbots for everyday tasks unrelated to their mental illness, such as searching for cooking recipes. The second group, “AI-related psychotic content,” consisted of 28 patients who held delusions about artificial intelligence in general, but had no documented history of actually using a chatbot.

    The third group, representing “AI psychosis,” included 28 patients whose medical notes documented chatbot use that appeared to worsen their psychotic symptoms. The researchers also checked each patient’s medical history to see if their hospital visit represented their very first psychotic episode, known clinically as an index episode.

    For the 28 patients in the AI psychosis group, the authors further sorted the interactions into four theoretical categories describing how the software influenced the illness, reaching 83.3% agreement between raters. A “catalyst” interaction meant the chatbot triggered new psychotic symptoms in a previously healthy person. An “amplifier” meant the chatbot worsened existing symptoms by validating distorted ideas. A “coauthor” interaction involved the user and the machine building a harmful narrative together through back-and-forth dialogue, while an “object” interaction meant the chatbot itself became the target of the patient’s delusional beliefs.

    The 28 patients identified with AI psychosis represented 0.013% of all patients receiving mental health care at the medical center during the study period. This group was predominantly male, at 67.9% (though the neutral group was even more heavily male, at 88.2%), and White, at 75.0%, with a median age of 27.5 years. Patients in the AI psychosis group were younger than those who merely held general delusions about artificial intelligence without using a chatbot, who had a median age of 36.5 years.

    The authors note that this rate converges with figures from OpenAI, which has reported that about 0.07% of ChatGPT users active in a given week show possible signs of mental health emergencies related to psychosis or mania, though the two figures measure different populations.

    “This is a relatively small percent, and is in line with what has been reported by the tech companies using in-house data that the public does not have access to,” Sheffield explained. “However, 28 people just within a single medical center is still a lot of patients and families that have been impacted, and if you scale this up to the number of people using generative AI, that is millions of people around the world. In addition, psychosis is a highly distressing and often debilitating experience, that can be difficult to recover from; so if AI is contributing to the experience or severity of psychosis, then it needs to be considered potentially harmful to mental health.”

    When comparing clinical histories, the researchers found no statistically significant differences between the three groups regarding prior psychiatric hospitalizations, past use of psychiatric medications, outpatient treatment history, or past suicide attempts. However, a major difference emerged regarding the stage of the patients’ illness. About 60.7% of the patients in the AI psychosis group were experiencing their first episode of psychosis, compared to just 17.6% in the neutral interaction group and 28.5% in the AI-related content group.

    In addition, patients in the AI psychosis group were more likely to be diagnosed with “unspecified psychosis” (a temporary or broad diagnosis often used when a patient’s exact condition is still being evaluated), at 28.6%, compared to 0% in the neutral group. Among the AI psychosis cases, OpenAI’s ChatGPT was the specific product named in 53.6% of the records. Notably, 85.7% of all AI psychosis interactions were recorded after May 2024, which coincided with the release of the GPT-4o model.

    Looking at the four categories of chatbot interaction, the researchers found that the technology functioned as an “amplifier” in 64.3% of the AI psychosis cases. It served as the “object” of delusions in 21.4% of cases, and acted as a “catalyst” in 10.7% of cases. None of the cases fit the “coauthor” category, and one case could not be classified into any of the four types.

    “Our finding that the majority of AI Psychosis cases were first episode patients confirmed our suspicions, but was still striking to see in the data,” Sheffield said. “In reading the notes from the medical record it was clear that those vulnerable to or in the midst of experiencing psychosis for the first time were turning to AI for answers, understanding or support and were instead having their delusional thought content confirmed or amplified.”

    “AI Psychosis the worsening of psychotic experiences (typically delusional beliefs) in the context of using generative chat-based AI is a real clinical phenomenon that we observe in practice,” she added. “People are coming to behavioral health providers in the real world with these types of experiences.”

    These findings align with a case report covered by PsyPost in late 2025, which detailed an individual patient rather than a retrospective cohort of electronic health records, and similarly found that conversational AI chatbots often amplify and validate psychotic delusions. The results are also consistent with the peer-reviewed version of the Danish records study described earlier, which was covered by PsyPost in early 2026 and documented how chatbot interactions were associated with exacerbated delusions, self-harm or suicidal ideation, and eating disorders among vulnerable psychiatric patients.

    One outside expert said that as large language models (LLMs), the technology that powers conversational chatbots, become part of everyday life, their mental health risks and potential benefits both need study. “This study is one of the first to dive into texts from medical records to find suggestions for associations between use of LLMs and psychosis,” Iris Sommer, a professor and psychiatrist at the University Medical Center Groningen in the Netherlands and president of the Schizophrenia International Research Consortium, who was not involved in the study, told PsyPost. “This study found remarkably few cases of an association between LLM use and psychosis (only 0.013% of service users). With the steep increase in LLM use in recent years, this frequency can be expected to also go up.”

    “While the potential for triggering or worsening psychosis is an important issue to investigate, there is also potential of a broadly available app, that can be used in many languages, free of charge, which may offer some benefits to those struggling with mental health issues who do not have access to any form of regular mental health care,” Sommer added. “Understanding in which circumstances and for which users LLM use can be harmful or helpful is a major challenge that mental health researchers are now facing.”

    The concentration of cases after May 2024 coincides with the release of GPT-4o, a model OpenAI later acknowledged had at times been overly sycophantic, meaning it tended to flatter users and agree with them rather than push back. The authors caution that their design cannot show the model caused these cases, and the timing could also reflect the overall growth in chatbot use and in clinicians’ attention to it. Still, when a person in the early, confusing stages of psychosis shares a distorted belief with an overly agreeable chatbot, the software may validate the belief rather than challenge it.

    At the same time, chatbot technology continues to evolve as developers adjust how their models handle sensitive topics. “The newer versions of commercially available LLMs are less likely to confirm irrational or unlikely beliefs than the initial (2022 and 2023) versions,” Sommer noted. “Newer versions have become trained to recognize signs of psychosis, depression or mania and now recommend seeking professional help (also providing local possibilities to find professional help) when such signs are detected.”

    There are a few things to keep in mind when interpreting these findings. Because the study relied on existing medical notes, the prevalence rate of 0.013% only reflects cases where doctors happened to ask about or document technology use. Clinicians do not routinely screen patients for chatbot habits, meaning many interactions likely went unrecorded, and first-episode patients may also receive more thorough intake interviews that make chatbot use more likely to be noted.

    The study’s observational design also means it cannot establish that chatbots directly cause psychosis in otherwise healthy people. In most cases, the medical notes described chatbots as appearing to amplify symptoms that were already developing, though three cases were classified as chatbot use preceding new symptoms in previously healthy people. Additionally, the data came from a single medical center in Tennessee, and the four-part classification system used to sort the interactions has not yet been formally validated for clinical use.

    “We cannot say from this study if AI use causes psychosis or simply exacerbates it,” Sheffield noted. “This is similar to studies on substance use: for those vulnerable to psychosis, using cannabis or other substances may worsen psychosis symptoms but we frequently cannot say for certain that it caused them. However, the addition of a pervasive, always available, technology that interacts with mental health in a negative way is highly concerning and requires regulation.”

    Sommer was more cautious about the “AI psychosis” label itself. “We should be rather careful with this very term, as causality is very difficult to establish, as the authors of this paper also emphasize,” she said. “LLM use may coincide with psychosis, but if it is the delusional way of thinking that has triggered LLM use or the other way around is rather difficult to disentangle retrospectively. Also, if LLM use worsens psychotic symptoms, or if LLM use increases as a result of more delusional thinking is also difficult to tease out.”

    To better understand how these digital conversations unfold, the authors note that future research should track patients over time and directly analyze their actual chat logs, rather than relying solely on doctors’ summaries. In the meantime, the researchers suggest that mental health professionals consider routinely asking patients about their use of conversational artificial intelligence during psychiatric evaluations.

    “I just attended the first annual AI Psychological Research Coalition (AIPRC) conference, which brought together academia, advocacy and policy to discuss AI regulation,” Sheffield said. “I hope my research can add to this conversation about what types of AI use are harmful for those at risk for psychosis. I also am very interested in understanding how delusional ideas are reinforced by chatbots, in order to reverse-engineer this process, with an eye towards treatment.”

    Sommer agreed that examining the actual transcripts of these digital conversations is a necessary step forward. “An important next step would be to analyze the exact interactions between people with emerging psychotic symptoms and LLMs,” she said. “Such analyses should be undertaken open-minded, with a focus on both potentially harmful and helpful interactions.”

    The study, “Characterizing Artificial Intelligence Psychosis in a Large Medical Setting,” was authored by Zachary Bergson, Sarah G. Vassall, Adam Wright, Allison B. McCoy, Katherine M. Schafer, Margaret C. Achee, and Julia M. Sheffield.

    URL: psypost.org/ai-psychosis-appea

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  46. Psychology News Robot @[email protected]

    DATE: October 23, 2026 at 06:00AM
    SOURCE: PSYPOST.ORG

    ** Research quality varies widely from fantastic to small exploratory studies. Please check research methods when conclusions are very important to you. **
    -------------------------------------------------

    TITLE: LSD pushes brain activity toward a more fractal, complex state, study finds

    URL: psypost.org/lsd-pushes-brain-a

    A new neuroimaging study indicates that lysergic acid diethylamide, commonly known as LSD, alters human brain activity not just by weakening regular brain waves, but also by speeding them up and making neural signals more complex. The weakening of brain waves and the rise in signal complexity were most pronounced in regions tied to sensory processing, language, emotion, and mental imagery, while areas that control physical movement were largely spared. The findings, published in Communications Biology, also hint that listening to music may dampen rather than amplify these drug-induced changes, though that trend did not hold up after statistical correction.

    LSD is a potent psychedelic drug that temporarily alters perception, mood, and the sense of self. Like other classic psychedelics, it works primarily by attaching to and activating serotonin 2A receptors on brain cells, though LSD also binds to dopamine receptors. Studying how this compound changes large-scale brain activity helps scientists understand the biological processes that generate conscious experience.

    In human studies, researchers often use magnetoencephalography, or MEG, to track the fast-paced electrical activity of the brain. MEG is a non-invasive procedure where a participant sits with their head inside a helmet-like scanner containing sensitive magnetic detectors. As groups of neurons fire together, they produce tiny magnetic fields that the scanner records at a millisecond-by-millisecond scale.

    This electrical activity consists of two main types of signals: rhythmic brain waves and background noise. Rhythmic waves, or neural oscillations, happen when thousands of brain cells fire in a synchronized beat, much like a choir singing a specific note. Two of the most common resting rhythms are alpha waves, which cycle at about 8 to 13 times per second (measured in hertz, or Hz) during relaxed wakefulness, and beta waves, which cycle faster at 15 to 30 Hz and relate to active thinking and alertness. These rhythms ride on top of non-rhythmic, background electrical activity that naturally loses strength at higher frequencies.

    Previous psychedelic studies consistently showed that drugs like LSD and psilocybin cause a widespread drop in the strength of alpha and beta waves, a process called cortical desynchronization. Because traditional brain wave analyses measure activity within fixed frequency windows, they can confuse a change in wave speed with a loss of wave strength, or mistake shifts in the background noise for changes in actual rhythms. If an alpha wave speeds up against a background that naturally falls off at higher frequencies, it can look as though the wave lost strength when it actually just shifted to a faster tempo.

    Beyond brain wave speed and strength, psychedelics also change the unpredictability and structure of brain signals over time. Scientists measure this using two mathematical tools: Lempel-Ziv complexity, which counts how many new and distinct patterns appear in a signal over time, and Higuchi fractal dimension, which measures how “rough” or self-similar a signal looks when zoomed in and out across different time scales. Higher scores on both metrics indicate richer, less predictable brain activity.

    The physical and social environment also plays a major role in shaping a psychedelic experience, with music frequently used in both traditional rituals and modern psychedelic-assisted therapy. For example, a study covered by PsyPost in 2018 showed that LSD heightened brain responses to music across regions tied to auditory processing, emotion, and memory. The new research was led by first author Venkatesh Subramani, who holds a doctorate in neuroscience, and senior author Karim Jerbi, a full professor in the psychology department, both of the Cognitive and Computational Neuroscience Laboratory (CoCo Lab) at the Université de Montréal. The team aimed to separate true changes in brain wave strength from shifts in wave speed and background activity, while also testing how music interacts with these electrical signatures.

    “A characteristic effect of classic psychedelics is the desynchronization of rhythmic brain activity (that is, reduced coordination of activity among neural populations) in the alpha (8-13 Hz) and beta (15-30 Hz) bands,” Subramani told PsyPost. “LSD, however, appears somewhat unique because it also speeds up these intrinsic oscillations, by up to 2 Hz for alpha and up to 5 Hz for beta. This acceleration creates an ambiguity: it is unclear whether LSD genuinely desynchronizes these rhythms, or whether the previously reported desynchronization is an artifact of shifts in the spectral peaks.”

    To investigate these questions, the researchers analyzed existing MEG data originally collected from 17 healthy volunteers. The experiment used a within-subject, single-blind, placebo-controlled design with a counterbalanced session order, meaning each participant completed two separate scanning sessions spaced 14 days apart without being told which treatment they were receiving. In one session, participants received an intravenous injection of 75 micrograms of LSD, and in the other, they received an inactive saline placebo.

    Roughly four hours after the injection, participants underwent MEG brain scans under two different conditions, each lasting seven minutes. In the first condition, they rested with their eyes closed in silence. In the second condition, they kept their eyes closed while listening to ambient music excerpts. The research team used anatomical MRI scans of each participant’s head to map the MEG signals onto 360 distinct regions across the outer surface of the brain.

    The authors then used a specialized mathematical tool to separate the rhythmic brain waves from the non-rhythmic background activity in each brain region. Instead of measuring wave strength inside rigid frequency boxes, they tracked the exact peak frequency where each participant’s alpha and beta waves were strongest. They also calculated Lempel-Ziv complexity and Higuchi fractal dimension for each region, and trained machine learning algorithms to see which brain features best distinguished the LSD state from the placebo state.

    When the researchers separated the rhythmic waves from the background noise and accounted for shifting frequencies, they found that LSD still caused a genuine drop in the strength of alpha and beta waves. Alpha wave weakening was most pronounced in the temporal lobes, while beta wave weakening occurred broadly across the brain’s surface. However, ignoring the shifting frequencies made the wave weakening look much more widespread than it actually was, confirming that standard methods can inflate the apparent spatial extent of the drug’s effect.

    “This study clarifies the ambiguity,” Subramani explained. “It shows that the weakening of oscillations, the usual marker of desynchronization, is genuine even after accounting for the peak shifts, a potential confound.”

    Separating the signals also clarified what was happening in the posterior cingulate cortex, a major hub for self-reflection and daydreaming. In standard analyses that mix all signals together, this hub showed large drops in brain wave power under LSD. Once the background noise was removed, those rhythmic differences vanished, indicating that LSD mainly altered the background electrical activity in this region rather than its synchronized waves.

    Alongside weakening the waves, LSD systematically sped them up across large portions of the brain. On average, the peak frequency of alpha waves increased by about 2 Hz, while beta wave peaks shifted upward by roughly 5 Hz. Machine learning models trained solely on these frequency shifts were able to correctly identify whether a scan came from an LSD or placebo session with over 82 percent accuracy, where chance would be 50 percent.

    The background electrical activity also flattened out across the brain, meaning there was less slow background activity relative to fast activity. At the same time, both Lempel-Ziv complexity and fractal dimension rose substantially, especially in the back of the brain where visual information is processed. Machine learning decoders using these complexity and fractal measures distinguished the LSD state from placebo with over 76 percent accuracy, compared to a 50 percent chance level.

    “In plain terms, LSD makes the brain’s main rhythms faster and weaker, and makes its activity more complex,” Subramani noted.

    These results align with research covered by PsyPost in 2024, which examined brain activity under microdoses using EEG rather than full psychedelic doses using MEG, and similarly found that LSD increases neural signal complexity. The broader shift away from slower rhythms is also in line with a study covered by PsyPost in March 2026, which examined scalp EEG activity following psilocybin rather than source-resolved MEG following LSD and found that the drug weakened slower theta and alpha waves while strengthening faster beta and gamma activity. That study measured the strength of different frequency bands rather than the speed of individual rhythms, however, and the authors of the new paper note that a clear speeding of alpha and beta peaks has not been consistently observed with psilocybin.

    To understand how these electrical changes relate to everyday mental functions, the researchers compared their brain maps against a massive database of over 14,000 prior brain imaging studies. They found that LSD’s effects followed distinct functional hierarchies across different brain systems. Reductions in alpha and beta wave strength, background flattening, and complexity increases were strongest in networks tied to vision, hearing, language, emotion, and mental imagery, while the motor cortex, which controls physical movement, remained largely unaffected.

    The weakening and speeding of brain waves did not always line up. The functional systems that showed the largest drop in alpha wave strength, such as auditory and language networks, showed only minimal alpha speeding, while motor and attention networks retained relatively more of their alpha strength but showed the largest increases in alpha speed. In the beta range, the pattern reversed, with the biggest speed-ups occurring where beta strength dropped the most. Because the two effects were not statistically linked across the brain, the authors suggest that wave weakening and wave acceleration may reflect separate processes happening at the same time.

    When the researchers examined the effect of music, they did not find any results that survived strict statistical corrections for multiple comparisons across the whole brain. However, uncorrected trends pointed in the opposite direction of what the team initially expected. Instead of boosting the brain effects of LSD, listening to music tended to slightly calm them down, resulting in less background flattening and lower signal complexity compared to experiencing LSD in silence.

    The authors suggested that music might act as an external attentional anchor. Building on a 2024 analysis of this same dataset that found psychedelic-induced signal complexity was highest with eyes closed and dropped when attention turned outward, they propose that resting in silence allows the mind to wander freely into unconstrained internal states, whereas focusing on an external structured sound may gently ground and stabilize the brain’s electrical activity.

    “Music can be very emotionally powerful, and music and psychedelics have been used together in rituals across many cultures,” Subramani said. “We wanted to formally test how music modulates the way LSD affects the brain. We hypothesized that music potentiates the effect of the drug. Somewhat surprisingly, and albeit not statistically robust, we found the opposite trend: music appeared to reduce the drug effect, which could suggest that the stimulus acts as an anchor that keeps subjects from fully experiencing the psychedelic state.”

    “As noted in the paper, this is only hypothesis-generating,” he added. “It calls for studies with more subjects and targeted experimental designs with better controls.” He cautioned that “the music result is exploratory and should not be over-interpreted.”

    There are a few things to keep in mind when interpreting these results. The study relied on a relatively small sample of 17 participants, which limits the statistical power needed to detect subtle interactions between the drug and external factors like music. In addition, the MEG scans were recorded about four hours after the LSD injection, roughly two and a half hours after the drug’s subjective effects had peaked. This timing gap may explain why the researchers found few strong links between the brain measurements and participants’ questionnaire ratings.

    Looking at music over a single seven-minute average also treats a dynamic song as if it were a static event. Future studies with larger groups could track how brain waves respond to changing musical moments in real time, and use muscle sensors to help rule out muscle activity as a source of the fastest brain signals. Comparing LSD directly with other psychedelics using these same signal-separation methods will also help determine whether speeding up alpha and beta rhythms is a unique signature of LSD’s pharmacology.

    The team is already extending their analytical approach to see how these faster brain wave frequencies might affect other common measures of brain communication, such as functional connectivity, which tracks how closely pairs of brain regions coordinate their activity over time.

    “This study shows that LSD shifts the oscillatory peaks and that there is a genuine weakening of oscillations beyond these shifts,” Subramani said. “Power is one measure that could be confounded by peak shifts. Another is functional connectivity between pairs of brain regions. We have been actively working on this, and a preprint will be out shortly!”

    The study, “LSD reconfigures cortical dynamics through faster brain rhythms and increased fractal dimension,” was authored by Venkatesh Subramani, Timothy Nest, Annalisa Pascarella, Jérémy Brunel, Yorguin José Mantilla Ramos, Yann Harel, Suresh Muthukumaraswamy, Robin Carhart-Harris, Giulia Lioi, Nicolas Farrugia, and Karim Jerbi.

    URL: psypost.org/lsd-pushes-brain-a

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