#hippocampus — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #hippocampus, aggregated by home.social.
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https://www.europesays.com/ie/676307/ Scientists traced a hidden immune route that may worsen tau-linked brain damage #Aging #Antigen #Apolipoprotein #Brain #CD4 #Cell #Cortex #dementia #Éire #Frequency #FrontotemporalDementia #Health #Hippocampus #IE #Intracellular #Ireland #LymphNodes #MouseModel #Neurodegeneration #Neuroscience #Pathology #Protein #TCell #TauProtein #Transgenic
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DATE: September 6, 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: Scientists discover previously unknown brainwave chains that organize memory during REM sleep
A recent study in rats suggests that during the rapid eye movement (REM) phase of sleep, the brain uses repeating chains of rapid electrical waves to organize and replay memories in a highly specific manner. These high-frequency brainwave chains appear to foster communication between different brain regions and help regulate activity in the memory centers of the brain. The research was published in eLife.
Memory consolidation is the biological process of turning fleeting recent experiences into stable long-term memories. This process heavily relies on the interaction between two major brain areas. The hippocampus is a seahorse-shaped structure deep in the brain that initially records new memories, while the prefrontal cortex is a region at the front of the brain responsible for complex thinking and long-term storage.
While scientists have long known that sharp electrical waves coordinate memory replay between the hippocampus and the cortex during deep non-REM (NREM) sleep, how REM sleep contributes to this dialogue remained murky. For instance, a 2016 study covered by PsyPost demonstrated that during deep sleep, sharp-wave ripples in the hippocampus dictate slow brainwave rhythms in the cortex to drive memory replay.
More recently, a 2024 study indicated that rapid ripples of electricity originating in the prefrontal cortex during NREM sleep actually suppress hippocampal activity. Other research, such as a 2012 study, found that REM sleep adjusts the overall excitability of hippocampal neurons.
The new study connects these threads by exploring how rapid-fire brainwave chains in the prefrontal cortex during REM sleep organize a distinct replay of memories and regulate hippocampal brain activity. The research, led by Justin D. Shin and Shantanu P. Jadhav, aimed to determine exactly how prefrontal and hippocampal dynamics differ during high-frequency electrical events across both NREM and REM sleep stages.
“Decades of research has established the role of reactivation in hippocampal and cortical regions of the brain during NREM sleep,” Jadhav, a professor in the Department of Psychology and the Volen Center for Complex Systems at Brandeis University and head of the Jadhav Lab, told PsyPost. “REM sleep stages, which are typically associated with dreaming, are known to be important for memory consolidation, but whether and how memory reactivation occurs in REM sleep is still unknown and debated.”
“The motivation for our study was to address this gap,” Jadhav explained. “We used spatial learning tasks in rodent models to investigate memory reactivation in REM sleep, and its relationship to NREM sleep reactivation, to shed light on sleep memory processes.”
To investigate this, the scientists monitored the brain activity of 10 adult rats as they learned a spatial memory task. The rats navigated a W-shaped maze to receive rewards, an activity that requires active communication between the hippocampus and the prefrontal cortex. During the learning phase and the subsequent sleep sessions, the researchers continuously tracked the animals’ brain activity.
They surgically implanted arrays of microelectrodes, known as tetrodes, into both the prefrontal cortex and the CA1 region, a major subfield of the hippocampus that serves as a primary output zone for memory signals. This allowed the team to record both the broad electrical rhythms of the brain and the firing patterns of individual neurons. Using the ratio of different brainwave frequencies, the researchers categorized the rats’ sleep into NREM and REM stages.
During NREM sleep, the prefrontal cortex produces brief, rapid bursts of electrical activity known as ripples. The researchers noticed that these NREM ripples triggered massive, synchronous bursts of firing among prefrontal neurons. During REM sleep, the researchers detected similar rapid events, which they termed high-frequency oscillations (HFOs).
Unlike the single bursts seen in NREM sleep, REM HFOs tended to occur in repeating chains. These chains repeated roughly every 130 milliseconds, a timing that perfectly aligns with a slower, steady brain rhythm called the theta wave, which is highly active during REM sleep.
The neuron firing patterns during these REM HFO chains were highly structured. Instead of the massive bursts of widespread activity seen in NREM sleep, the overall background noise of the prefrontal cortex quieted down. Against this suppressed background, specific small groups of neurons fired in sparse, sequential patterns. This indicates that the prefrontal cortex replays memories in a much more precise and orderly sequence during REM sleep.
“A particularly surprising finding was that neural reactivation in REM sleep is organized differently compared to NREM sleep,” Jadhav said. “REM reactivation was sparse, involving smaller specific subsets of neurons in cortical regions, and temporally extended, lasting on the order of ~1 second. In contrast, NREM reactivation occurs in bursts of activity lasting ~100 msec.”
During these REM HFO chains, the prefrontal cortex and the hippocampus showed increased synchronization in the theta frequency range. The REM HFO chains also engaged a specific subset of neurons in the hippocampus. Interestingly, these were the exact same hippocampal neurons that were most strongly silenced during the prefrontal ripples of NREM sleep.
By tracking these specific hippocampal neurons over time, the researchers observed that they gradually increased their baseline firing rates across the sleep session. This provides evidence that the alternating stages of NREM and REM sleep work together to adjust and tune the excitability of memory circuits. The findings are in line with research covered by PsyPost in 2025, which similarly found that memory consolidation during REM sleep relies on sparse, highly coordinated neural replay, though that study focused on fear memory rather than spatial learning.
“Our results show clear qualitative as well as quantitative differences in memory reactivation patterns in REM vs. NREM sleep in cortical-hippocampal regions,” Jadhav noted. “These findings suggest new mechanisms for how the two major sleep stages, NREM and REM sleep, together reactivate memories of daily experiences for selectively storing and integrating long-term memories.”
To better understand the biological mechanics driving these differences, the researchers built a computational model of the brain network. They focused on acetylcholine, a neurotransmitter that is highly concentrated in the brain during REM sleep but practically absent during NREM sleep.
“The study also included a modeling component, in which we were able to replicate the experimental results of distinct reactivation patterns in REM and NREM sleep using a model cortical network, based on known differences in the amount of a specific neuromodulator called acetylcholine,” Jadhav explained.
When the model simulated the low acetylcholine levels of NREM sleep, a small input triggered widespread, explosive bursts of neural activity. But when the model simulated the high acetylcholine levels of REM sleep, the network became more restrained. The high acetylcholine limited the spread of activity, perfectly recreating the sparse, sequential firing seen during the actual REM HFO chains.
There are a few things to keep in mind regarding this study. The researchers could not directly link these REM-specific memory replay events to behavioral improvements on the spatial task. Future studies using tasks known to heavily depend on REM sleep might be necessary to map these brainwaves directly to learning outcomes.
“Our study provides phenomenological evidence for distinct physiological signatures of reactivation in REM and NREM sleep, but we have yet to show a direct link between this novel form of REM reactivation and memory consolidation,” Jadhav clarified.
Moving forward, the research team aims to test this direct link. “A major long-term goal is to establish that this REM reactivation process is required for memory consolidation, and dissect the complementary roles of REM and NREM sleep reactivation in long-term memory storage,” Jadhav stated. “Indeed, how these two sleep stages work together to mediate memory consolidation is a major outstanding question in the field.”
Additionally, the researchers could not perfectly separate REM sleep into its more granular sub-stages, known as tonic and phasic REM, because they did not record the rats’ eye movements. The data was also collected over a few hours rather than a full 24-hour cycle, which means the study did not capture how these sleep dynamics might shift over a full day and night.
“A second major line of research is to investigate the role of neuromodulators, chemicals in the brain which are largely responsible for the vastly different activity signatures seen in REM and NREM sleep,” Jadhav added.
The study, “REM sleep prefrontal high-frequency oscillation chains mediate distinct cortical – hippocampal reactivation patterns compared to NREM sleep,” was authored by Justin D. Shin, Michael Satchell, Paul Miller, and Shantanu P. Jadhav.
-------------------------------------------------
Private, vetted email list for mental health professionals: https://www.clinicians-exchange.org
Unofficial Psychology Today Xitter to toot feed at Psych Today Unofficial Bot @PTUnofficialBot
-------------------------------------------------
#psychology #counseling #socialwork #psychotherapy @psychotherapist @psychotherapists @psychology @socialpsych @socialwork @psychiatry #mentalhealth #psychiatry #healthcare #depression #psychotherapist #REMsleep #memoryconsolidation #hippocampus #prefrontalcortex #neuraloscillations #highfrequencyoscillations #brainwaves #sleepresearch #corticalhippocampalcommunication #neuroscience
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DATE: September 6, 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: Scientists discover previously unknown brainwave chains that organize memory during REM sleep
A recent study in rats suggests that during the rapid eye movement (REM) phase of sleep, the brain uses repeating chains of rapid electrical waves to organize and replay memories in a highly specific manner. These high-frequency brainwave chains appear to foster communication between different brain regions and help regulate activity in the memory centers of the brain. The research was published in eLife.
Memory consolidation is the biological process of turning fleeting recent experiences into stable long-term memories. This process heavily relies on the interaction between two major brain areas. The hippocampus is a seahorse-shaped structure deep in the brain that initially records new memories, while the prefrontal cortex is a region at the front of the brain responsible for complex thinking and long-term storage.
While scientists have long known that sharp electrical waves coordinate memory replay between the hippocampus and the cortex during deep non-REM (NREM) sleep, how REM sleep contributes to this dialogue remained murky. For instance, a 2016 study covered by PsyPost demonstrated that during deep sleep, sharp-wave ripples in the hippocampus dictate slow brainwave rhythms in the cortex to drive memory replay.
More recently, a 2024 study indicated that rapid ripples of electricity originating in the prefrontal cortex during NREM sleep actually suppress hippocampal activity. Other research, such as a 2012 study, found that REM sleep adjusts the overall excitability of hippocampal neurons.
The new study connects these threads by exploring how rapid-fire brainwave chains in the prefrontal cortex during REM sleep organize a distinct replay of memories and regulate hippocampal brain activity. The research, led by Justin D. Shin and Shantanu P. Jadhav, aimed to determine exactly how prefrontal and hippocampal dynamics differ during high-frequency electrical events across both NREM and REM sleep stages.
“Decades of research has established the role of reactivation in hippocampal and cortical regions of the brain during NREM sleep,” Jadhav, a professor in the Department of Psychology and the Volen Center for Complex Systems at Brandeis University and head of the Jadhav Lab, told PsyPost. “REM sleep stages, which are typically associated with dreaming, are known to be important for memory consolidation, but whether and how memory reactivation occurs in REM sleep is still unknown and debated.”
“The motivation for our study was to address this gap,” Jadhav explained. “We used spatial learning tasks in rodent models to investigate memory reactivation in REM sleep, and its relationship to NREM sleep reactivation, to shed light on sleep memory processes.”
To investigate this, the scientists monitored the brain activity of 10 adult rats as they learned a spatial memory task. The rats navigated a W-shaped maze to receive rewards, an activity that requires active communication between the hippocampus and the prefrontal cortex. During the learning phase and the subsequent sleep sessions, the researchers continuously tracked the animals’ brain activity.
They surgically implanted arrays of microelectrodes, known as tetrodes, into both the prefrontal cortex and the CA1 region, a major subfield of the hippocampus that serves as a primary output zone for memory signals. This allowed the team to record both the broad electrical rhythms of the brain and the firing patterns of individual neurons. Using the ratio of different brainwave frequencies, the researchers categorized the rats’ sleep into NREM and REM stages.
During NREM sleep, the prefrontal cortex produces brief, rapid bursts of electrical activity known as ripples. The researchers noticed that these NREM ripples triggered massive, synchronous bursts of firing among prefrontal neurons. During REM sleep, the researchers detected similar rapid events, which they termed high-frequency oscillations (HFOs).
Unlike the single bursts seen in NREM sleep, REM HFOs tended to occur in repeating chains. These chains repeated roughly every 130 milliseconds, a timing that perfectly aligns with a slower, steady brain rhythm called the theta wave, which is highly active during REM sleep.
The neuron firing patterns during these REM HFO chains were highly structured. Instead of the massive bursts of widespread activity seen in NREM sleep, the overall background noise of the prefrontal cortex quieted down. Against this suppressed background, specific small groups of neurons fired in sparse, sequential patterns. This indicates that the prefrontal cortex replays memories in a much more precise and orderly sequence during REM sleep.
“A particularly surprising finding was that neural reactivation in REM sleep is organized differently compared to NREM sleep,” Jadhav said. “REM reactivation was sparse, involving smaller specific subsets of neurons in cortical regions, and temporally extended, lasting on the order of ~1 second. In contrast, NREM reactivation occurs in bursts of activity lasting ~100 msec.”
During these REM HFO chains, the prefrontal cortex and the hippocampus showed increased synchronization in the theta frequency range. The REM HFO chains also engaged a specific subset of neurons in the hippocampus. Interestingly, these were the exact same hippocampal neurons that were most strongly silenced during the prefrontal ripples of NREM sleep.
By tracking these specific hippocampal neurons over time, the researchers observed that they gradually increased their baseline firing rates across the sleep session. This provides evidence that the alternating stages of NREM and REM sleep work together to adjust and tune the excitability of memory circuits. The findings are in line with research covered by PsyPost in 2025, which similarly found that memory consolidation during REM sleep relies on sparse, highly coordinated neural replay, though that study focused on fear memory rather than spatial learning.
“Our results show clear qualitative as well as quantitative differences in memory reactivation patterns in REM vs. NREM sleep in cortical-hippocampal regions,” Jadhav noted. “These findings suggest new mechanisms for how the two major sleep stages, NREM and REM sleep, together reactivate memories of daily experiences for selectively storing and integrating long-term memories.”
To better understand the biological mechanics driving these differences, the researchers built a computational model of the brain network. They focused on acetylcholine, a neurotransmitter that is highly concentrated in the brain during REM sleep but practically absent during NREM sleep.
“The study also included a modeling component, in which we were able to replicate the experimental results of distinct reactivation patterns in REM and NREM sleep using a model cortical network, based on known differences in the amount of a specific neuromodulator called acetylcholine,” Jadhav explained.
When the model simulated the low acetylcholine levels of NREM sleep, a small input triggered widespread, explosive bursts of neural activity. But when the model simulated the high acetylcholine levels of REM sleep, the network became more restrained. The high acetylcholine limited the spread of activity, perfectly recreating the sparse, sequential firing seen during the actual REM HFO chains.
There are a few things to keep in mind regarding this study. The researchers could not directly link these REM-specific memory replay events to behavioral improvements on the spatial task. Future studies using tasks known to heavily depend on REM sleep might be necessary to map these brainwaves directly to learning outcomes.
“Our study provides phenomenological evidence for distinct physiological signatures of reactivation in REM and NREM sleep, but we have yet to show a direct link between this novel form of REM reactivation and memory consolidation,” Jadhav clarified.
Moving forward, the research team aims to test this direct link. “A major long-term goal is to establish that this REM reactivation process is required for memory consolidation, and dissect the complementary roles of REM and NREM sleep reactivation in long-term memory storage,” Jadhav stated. “Indeed, how these two sleep stages work together to mediate memory consolidation is a major outstanding question in the field.”
Additionally, the researchers could not perfectly separate REM sleep into its more granular sub-stages, known as tonic and phasic REM, because they did not record the rats’ eye movements. The data was also collected over a few hours rather than a full 24-hour cycle, which means the study did not capture how these sleep dynamics might shift over a full day and night.
“A second major line of research is to investigate the role of neuromodulators, chemicals in the brain which are largely responsible for the vastly different activity signatures seen in REM and NREM sleep,” Jadhav added.
The study, “REM sleep prefrontal high-frequency oscillation chains mediate distinct cortical – hippocampal reactivation patterns compared to NREM sleep,” was authored by Justin D. Shin, Michael Satchell, Paul Miller, and Shantanu P. Jadhav.
-------------------------------------------------
Private, vetted email list for mental health professionals: https://www.clinicians-exchange.org
Unofficial Psychology Today Xitter to toot feed at Psych Today Unofficial Bot @PTUnofficialBot
-------------------------------------------------
#psychology #counseling #socialwork #psychotherapy @psychotherapist @psychotherapists @psychology @socialpsych @socialwork @psychiatry #mentalhealth #psychiatry #healthcare #depression #psychotherapist #REMsleep #memoryconsolidation #hippocampus #prefrontalcortex #neuraloscillations #highfrequencyoscillations #brainwaves #sleepresearch #corticalhippocampalcommunication #neuroscience
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DATE: September 6, 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: Scientists discover previously unknown brainwave chains that organize memory during REM sleep
A recent study in rats suggests that during the rapid eye movement (REM) phase of sleep, the brain uses repeating chains of rapid electrical waves to organize and replay memories in a highly specific manner. These high-frequency brainwave chains appear to foster communication between different brain regions and help regulate activity in the memory centers of the brain. The research was published in eLife.
Memory consolidation is the biological process of turning fleeting recent experiences into stable long-term memories. This process heavily relies on the interaction between two major brain areas. The hippocampus is a seahorse-shaped structure deep in the brain that initially records new memories, while the prefrontal cortex is a region at the front of the brain responsible for complex thinking and long-term storage.
While scientists have long known that sharp electrical waves coordinate memory replay between the hippocampus and the cortex during deep non-REM (NREM) sleep, how REM sleep contributes to this dialogue remained murky. For instance, a 2016 study covered by PsyPost demonstrated that during deep sleep, sharp-wave ripples in the hippocampus dictate slow brainwave rhythms in the cortex to drive memory replay.
More recently, a 2024 study indicated that rapid ripples of electricity originating in the prefrontal cortex during NREM sleep actually suppress hippocampal activity. Other research, such as a 2012 study, found that REM sleep adjusts the overall excitability of hippocampal neurons.
The new study connects these threads by exploring how rapid-fire brainwave chains in the prefrontal cortex during REM sleep organize a distinct replay of memories and regulate hippocampal brain activity. The research, led by Justin D. Shin and Shantanu P. Jadhav, aimed to determine exactly how prefrontal and hippocampal dynamics differ during high-frequency electrical events across both NREM and REM sleep stages.
“Decades of research has established the role of reactivation in hippocampal and cortical regions of the brain during NREM sleep,” Jadhav, a professor in the Department of Psychology and the Volen Center for Complex Systems at Brandeis University and head of the Jadhav Lab, told PsyPost. “REM sleep stages, which are typically associated with dreaming, are known to be important for memory consolidation, but whether and how memory reactivation occurs in REM sleep is still unknown and debated.”
“The motivation for our study was to address this gap,” Jadhav explained. “We used spatial learning tasks in rodent models to investigate memory reactivation in REM sleep, and its relationship to NREM sleep reactivation, to shed light on sleep memory processes.”
To investigate this, the scientists monitored the brain activity of 10 adult rats as they learned a spatial memory task. The rats navigated a W-shaped maze to receive rewards, an activity that requires active communication between the hippocampus and the prefrontal cortex. During the learning phase and the subsequent sleep sessions, the researchers continuously tracked the animals’ brain activity.
They surgically implanted arrays of microelectrodes, known as tetrodes, into both the prefrontal cortex and the CA1 region, a major subfield of the hippocampus that serves as a primary output zone for memory signals. This allowed the team to record both the broad electrical rhythms of the brain and the firing patterns of individual neurons. Using the ratio of different brainwave frequencies, the researchers categorized the rats’ sleep into NREM and REM stages.
During NREM sleep, the prefrontal cortex produces brief, rapid bursts of electrical activity known as ripples. The researchers noticed that these NREM ripples triggered massive, synchronous bursts of firing among prefrontal neurons. During REM sleep, the researchers detected similar rapid events, which they termed high-frequency oscillations (HFOs).
Unlike the single bursts seen in NREM sleep, REM HFOs tended to occur in repeating chains. These chains repeated roughly every 130 milliseconds, a timing that perfectly aligns with a slower, steady brain rhythm called the theta wave, which is highly active during REM sleep.
The neuron firing patterns during these REM HFO chains were highly structured. Instead of the massive bursts of widespread activity seen in NREM sleep, the overall background noise of the prefrontal cortex quieted down. Against this suppressed background, specific small groups of neurons fired in sparse, sequential patterns. This indicates that the prefrontal cortex replays memories in a much more precise and orderly sequence during REM sleep.
“A particularly surprising finding was that neural reactivation in REM sleep is organized differently compared to NREM sleep,” Jadhav said. “REM reactivation was sparse, involving smaller specific subsets of neurons in cortical regions, and temporally extended, lasting on the order of ~1 second. In contrast, NREM reactivation occurs in bursts of activity lasting ~100 msec.”
During these REM HFO chains, the prefrontal cortex and the hippocampus showed increased synchronization in the theta frequency range. The REM HFO chains also engaged a specific subset of neurons in the hippocampus. Interestingly, these were the exact same hippocampal neurons that were most strongly silenced during the prefrontal ripples of NREM sleep.
By tracking these specific hippocampal neurons over time, the researchers observed that they gradually increased their baseline firing rates across the sleep session. This provides evidence that the alternating stages of NREM and REM sleep work together to adjust and tune the excitability of memory circuits. The findings are in line with research covered by PsyPost in 2025, which similarly found that memory consolidation during REM sleep relies on sparse, highly coordinated neural replay, though that study focused on fear memory rather than spatial learning.
“Our results show clear qualitative as well as quantitative differences in memory reactivation patterns in REM vs. NREM sleep in cortical-hippocampal regions,” Jadhav noted. “These findings suggest new mechanisms for how the two major sleep stages, NREM and REM sleep, together reactivate memories of daily experiences for selectively storing and integrating long-term memories.”
To better understand the biological mechanics driving these differences, the researchers built a computational model of the brain network. They focused on acetylcholine, a neurotransmitter that is highly concentrated in the brain during REM sleep but practically absent during NREM sleep.
“The study also included a modeling component, in which we were able to replicate the experimental results of distinct reactivation patterns in REM and NREM sleep using a model cortical network, based on known differences in the amount of a specific neuromodulator called acetylcholine,” Jadhav explained.
When the model simulated the low acetylcholine levels of NREM sleep, a small input triggered widespread, explosive bursts of neural activity. But when the model simulated the high acetylcholine levels of REM sleep, the network became more restrained. The high acetylcholine limited the spread of activity, perfectly recreating the sparse, sequential firing seen during the actual REM HFO chains.
There are a few things to keep in mind regarding this study. The researchers could not directly link these REM-specific memory replay events to behavioral improvements on the spatial task. Future studies using tasks known to heavily depend on REM sleep might be necessary to map these brainwaves directly to learning outcomes.
“Our study provides phenomenological evidence for distinct physiological signatures of reactivation in REM and NREM sleep, but we have yet to show a direct link between this novel form of REM reactivation and memory consolidation,” Jadhav clarified.
Moving forward, the research team aims to test this direct link. “A major long-term goal is to establish that this REM reactivation process is required for memory consolidation, and dissect the complementary roles of REM and NREM sleep reactivation in long-term memory storage,” Jadhav stated. “Indeed, how these two sleep stages work together to mediate memory consolidation is a major outstanding question in the field.”
Additionally, the researchers could not perfectly separate REM sleep into its more granular sub-stages, known as tonic and phasic REM, because they did not record the rats’ eye movements. The data was also collected over a few hours rather than a full 24-hour cycle, which means the study did not capture how these sleep dynamics might shift over a full day and night.
“A second major line of research is to investigate the role of neuromodulators, chemicals in the brain which are largely responsible for the vastly different activity signatures seen in REM and NREM sleep,” Jadhav added.
The study, “REM sleep prefrontal high-frequency oscillation chains mediate distinct cortical – hippocampal reactivation patterns compared to NREM sleep,” was authored by Justin D. Shin, Michael Satchell, Paul Miller, and Shantanu P. Jadhav.
-------------------------------------------------
Private, vetted email list for mental health professionals: https://www.clinicians-exchange.org
Unofficial Psychology Today Xitter to toot feed at Psych Today Unofficial Bot @PTUnofficialBot
-------------------------------------------------
#psychology #counseling #socialwork #psychotherapy @psychotherapist @psychotherapists @psychology @socialpsych @socialwork @psychiatry #mentalhealth #psychiatry #healthcare #depression #psychotherapist #REMsleep #memoryconsolidation #hippocampus #prefrontalcortex #neuraloscillations #highfrequencyoscillations #brainwaves #sleepresearch #corticalhippocampalcommunication #neuroscience
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DATE: August 25, 2026 at 01:06AM
SOURCE: SCIENCE DAILY PSYCHOLOGY FEEDTITLE: Depression may shut down the brain’s ability to make new neurons
URL: https://www.sciencedaily.com/releases/2026/08/260823094135.htm
A major study found that adults with depression show disrupted production of new neurons in the hippocampus, potentially weakening the brain’s ability to separate new experiences from painful memories. The researchers also identified broad molecular changes that could open the door to new treatments tailored to different biological forms of depression.
URL: https://www.sciencedaily.com/releases/2026/08/260823094135.htm
-------------------------------------------------
Private, vetted email list for mental health professionals: https://www.clinicians-exchange.org
Unofficial Psychology Today Xitter to toot feed at Psych Today Unofficial Bot @PTUnofficialBot
-------------------------------------------------
#psychology #counseling #socialwork #psychotherapy @psychotherapist @psychotherapists @psychology @socialpsych @socialwork @psychiatry #mentalhealth #psychiatry #healthcare #depression #psychotherapist #Depression #BrainHealth #Hippocampus #Neurogenesis #MentalHealthResearch #NeuralPlasticity #BiologicalDepression #NewTreatments #Memories #Neuroscience
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https://www.europesays.com/at/324630/ Wie Navigation und Alltagsrisiken Demenz-Schutz beeinflussen #AI #Alzheimer #Ambulanzfahrer #Amyloid #ApoeE4 #ARTIFICIALINTELLIGENCE #AT #Austria #Biomarker #Bluthochdruck #Dementz #Gesundheit #Health #Herzzeitvolumen #Hippocampus #KI #KünstlicheIntelligenz #Navigation #Österreich #Rauchen #Risikofaktoren #Taxifahrer #Typ2Diabetes
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At 50, the Brain's Resident Immune Cells Begin to Give Way
If this matters to you, share it.
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🗺️🐀 How does the #brain map uneven terrain? New paper by @rmgrieves, @elduvelle_neuro & Taube suggests that the #hippocampal map is shaped by terrain #geometry itself, not only by where the animal runs. Slopes, ridges & surface contours may act as spatial structure for #PlaceCells. Read more about in the 🧵👇
📄 https://doi.org/10.1126/sciadv.adz9893
"Hippocampal #PlaceCells map terrain geometry independently of #behavior"#Hippocampus #SpatialNavigation #Neuroscience https://fediscience.org/@rmgrieves/116692850991318267
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🗺️🐀 How does the #brain map uneven terrain? New paper by @rmgrieves, @elduvelle_neuro & Taube suggests that the #hippocampal map is shaped by terrain #geometry itself, not only by where the animal runs. Slopes, ridges & surface contours may act as spatial structure for #PlaceCells. Read more about in the 🧵👇
📄 https://doi.org/10.1126/sciadv.adz9893
"Hippocampal #PlaceCells map terrain geometry independently of #behavior"#Hippocampus #SpatialNavigation #Neuroscience https://fediscience.org/@rmgrieves/116692850991318267
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🗺️🐀 How does the #brain map uneven terrain? New paper by @rmgrieves, @elduvelle_neuro & Taube suggests that the #hippocampal map is shaped by terrain #geometry itself, not only by where the animal runs. Slopes, ridges & surface contours may act as spatial structure for #PlaceCells. Read more about in the 🧵👇
📄 https://doi.org/10.1126/sciadv.adz9893
"Hippocampal #PlaceCells map terrain geometry independently of #behavior"#Hippocampus #SpatialNavigation #Neuroscience https://fediscience.org/@rmgrieves/116692850991318267
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🗺️🐀 How does the #brain map uneven terrain? New paper by @rmgrieves, @elduvelle_neuro & Taube suggests that the #hippocampal map is shaped by terrain #geometry itself, not only by where the animal runs. Slopes, ridges & surface contours may act as spatial structure for #PlaceCells. Read more about in the 🧵👇
📄 https://doi.org/10.1126/sciadv.adz9893
"Hippocampal #PlaceCells map terrain geometry independently of #behavior"#Hippocampus #SpatialNavigation #Neuroscience https://fediscience.org/@rmgrieves/116692850991318267
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🗺️🐀 How does the #brain map uneven terrain? New paper by @rmgrieves, @elduvelle_neuro & Taube suggests that the #hippocampal map is shaped by terrain #geometry itself, not only by where the animal runs. Slopes, ridges & surface contours may act as spatial structure for #PlaceCells. Read more about in the 🧵👇
📄 https://doi.org/10.1126/sciadv.adz9893
"Hippocampal #PlaceCells map terrain geometry independently of #behavior"#Hippocampus #SpatialNavigation #Neuroscience https://fediscience.org/@rmgrieves/116692850991318267
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New paper by Maimon et al (Ulanovsky lab): recordings from #bats flying through tunnels up to 200 m reveal a sparse-to-dense transformation between #hippocampal #CA3 and #CA1.
In small environments, CA3 and CA1 #PlaceCells look similar. At large spatial scales, however, CA3 #neurons mostly show single, ultrasparse #PlaceFields, while CA1 neurons show dense multifield coding.
🌍 https://doi.org/10.1038/s41586-026-10537-0
🧵1/2
#Neuroscience #Hippocampus #SpatialNavigation #NeuralDynamics
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New paper by Maimon et al (Ulanovsky lab): recordings from #bats flying through tunnels up to 200 m reveal a sparse-to-dense transformation between #hippocampal #CA3 and #CA1.
In small environments, CA3 and CA1 #PlaceCells look similar. At large spatial scales, however, CA3 #neurons mostly show single, ultrasparse #PlaceFields, while CA1 neurons show dense multifield coding.
🌍 https://doi.org/10.1038/s41586-026-10537-0
🧵1/2
#Neuroscience #Hippocampus #SpatialNavigation #NeuralDynamics
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New paper by Maimon et al (Ulanovsky lab): recordings from #bats flying through tunnels up to 200 m reveal a sparse-to-dense transformation between #hippocampal #CA3 and #CA1.
In small environments, CA3 and CA1 #PlaceCells look similar. At large spatial scales, however, CA3 #neurons mostly show single, ultrasparse #PlaceFields, while CA1 neurons show dense multifield coding.
🌍 https://doi.org/10.1038/s41586-026-10537-0
🧵1/2
#Neuroscience #Hippocampus #SpatialNavigation #NeuralDynamics
-
New paper by Maimon et al (Ulanovsky lab): recordings from #bats flying through tunnels up to 200 m reveal a sparse-to-dense transformation between #hippocampal #CA3 and #CA1.
In small environments, CA3 and CA1 #PlaceCells look similar. At large spatial scales, however, CA3 #neurons mostly show single, ultrasparse #PlaceFields, while CA1 neurons show dense multifield coding.
🌍 https://doi.org/10.1038/s41586-026-10537-0
🧵1/2
#Neuroscience #Hippocampus #SpatialNavigation #NeuralDynamics
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New paper by Maimon et al (Ulanovsky lab): recordings from #bats flying through tunnels up to 200 m reveal a sparse-to-dense transformation between #hippocampal #CA3 and #CA1.
In small environments, CA3 and CA1 #PlaceCells look similar. At large spatial scales, however, CA3 #neurons mostly show single, ultrasparse #PlaceFields, while CA1 neurons show dense multifield coding.
🌍 https://doi.org/10.1038/s41586-026-10537-0
🧵1/2
#Neuroscience #Hippocampus #SpatialNavigation #NeuralDynamics
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#EmotionalIntelligence #MemoryScience #FutureMindset #BrainHealth #Hippocampus #PsychologyExplained #ConsciousMind #wellnesscoaching #wellnessfitness #wellnesscenter #wellnesscommunity #wellnesslife #EmotionsMatter #PersonalGrowth #MentalWellness #NeuroReels https://mastodon.social/@biohackingpathway/116648373479758838
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#EmotionalIntelligence #MemoryScience #FutureMindset #BrainHealth #Hippocampus #PsychologyExplained #ConsciousMind #wellnesscoaching #wellnessfitness #wellnesscenter #wellnesscommunity #wellnesslife #EmotionsMatter #PersonalGrowth #MentalWellness #NeuroReels https://mastodon.social/@biohackingpathway/116648373479758838
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Pharma-Insider enthüllt: So werden Pandemien geplant
https://friendica.ambag.es/display/e0590d38-1669-d1de-932e-61b205480560
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#EmotionalIntelligence #MemoryScience #FutureMindset #BrainHealth #Hippocampus #PsychologyExplained #ConsciousMind #wellnesscoaching #wellnessfitness #wellnesscenter #wellnesscommunity #wellnesslife #EmotionsMatter #PersonalGrowth #MentalWellness #NeuroReels https://mastodon.social/@biohackingpathway/115944567197692600
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Here's a very interesting paper from the #KeinathLab:
In the absence of task or reward, #PlaceCells appear to reflect the past history of behavioural biases, i.e. the accumulated past paths taken by each individual mouse. I am actually starting to think that #HippocampalReplay is doing a similar thing - just reflecting an average of the individual's past behaviour, and that all supposed "coding" of reward is purely driven by this (notice how reward "coding" always seems to happen in cases where reward biases the behavioural patterns..) 👀🧠🤔
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🧠 New paper by Aidan J. Horner (2025, Trends in Cognitive Sciences) introduces a 3D neural #StateSpace for #episodic memories. It replaces linear #SystemsConsolidation models with a dynamic framework where #hippocampal, #neocortical, and episodic specificity dimensions evolve independently and non-linearly, allowing memories to shift, reverse, or re-engage hippocampal circuits.
🌍 https://www.cell.com/trends/cognitive-sciences/fulltext/S1364-6613(25)00284-0
#Neuroscience #CognitiveScience #Hippocampus #CogSci #compneuro #memory
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🧠 New paper by Aidan J. Horner (2025, Trends in Cognitive Sciences) introduces a 3D neural #StateSpace for #episodic memories. It replaces linear #SystemsConsolidation models with a dynamic framework where #hippocampal, #neocortical, and episodic specificity dimensions evolve independently and non-linearly, allowing memories to shift, reverse, or re-engage hippocampal circuits.
🌍 https://www.cell.com/trends/cognitive-sciences/fulltext/S1364-6613(25)00284-0
#Neuroscience #CognitiveScience #Hippocampus #CogSci #compneuro #memory
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🧠 New paper by Aidan J. Horner (2025, Trends in Cognitive Sciences) introduces a 3D neural #StateSpace for #episodic memories. It replaces linear #SystemsConsolidation models with a dynamic framework where #hippocampal, #neocortical, and episodic specificity dimensions evolve independently and non-linearly, allowing memories to shift, reverse, or re-engage hippocampal circuits.
🌍 https://www.cell.com/trends/cognitive-sciences/fulltext/S1364-6613(25)00284-0
#Neuroscience #CognitiveScience #Hippocampus #CogSci #compneuro #memory
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🧠 New paper by Aidan J. Horner (2025, Trends in Cognitive Sciences) introduces a 3D neural #StateSpace for #episodic memories. It replaces linear #SystemsConsolidation models with a dynamic framework where #hippocampal, #neocortical, and episodic specificity dimensions evolve independently and non-linearly, allowing memories to shift, reverse, or re-engage hippocampal circuits.
🌍 https://www.cell.com/trends/cognitive-sciences/fulltext/S1364-6613(25)00284-0
#Neuroscience #CognitiveScience #Hippocampus #CogSci #compneuro #memory
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🧠 New paper by Aidan J. Horner (2025, Trends in Cognitive Sciences) introduces a 3D neural #StateSpace for #episodic memories. It replaces linear #SystemsConsolidation models with a dynamic framework where #hippocampal, #neocortical, and episodic specificity dimensions evolve independently and non-linearly, allowing memories to shift, reverse, or re-engage hippocampal circuits.
🌍 https://www.cell.com/trends/cognitive-sciences/fulltext/S1364-6613(25)00284-0
#Neuroscience #CognitiveScience #Hippocampus #CogSci #compneuro #memory
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🧠 New paper by Pedamonti et al. (2025, Nature Comm.) shows that the #hippocampus supports multi-task #ReinforcementLearning under partial observability. Mice flexibly inferred hidden task states 🐁, and only models with recurrent memory reproduced behavior, linking #hippocampal dynamics to #POMDP (Partially Observable Multi-Task Reinforcement Learning) inference.
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🧠 New paper by Pedamonti et al. (2025, Nature Comm.) shows that the #hippocampus supports multi-task #ReinforcementLearning under partial observability. Mice flexibly inferred hidden task states 🐁, and only models with recurrent memory reproduced behavior, linking #hippocampal dynamics to #POMDP (Partially Observable Multi-Task Reinforcement Learning) inference.
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🧠 New paper by Pedamonti et al. (2025, Nature Comm.) shows that the #hippocampus supports multi-task #ReinforcementLearning under partial observability. Mice flexibly inferred hidden task states 🐁, and only models with recurrent memory reproduced behavior, linking #hippocampal dynamics to #POMDP (Partially Observable Multi-Task Reinforcement Learning) inference.
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🧠 New paper by Pedamonti et al. (2025, Nature Comm.) shows that the #hippocampus supports multi-task #ReinforcementLearning under partial observability. Mice flexibly inferred hidden task states 🐁, and only models with recurrent memory reproduced behavior, linking #hippocampal dynamics to #POMDP (Partially Observable Multi-Task Reinforcement Learning) inference.
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Poll for #Hippocampus #Neuroscientists:
Do you think that ripples (#SWRs) and #ThetaRhythm can co-occur?
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📖 Vaidya et al. investigate how #hippocampal #CA1 #PlaceCells form expanding #memory representations over days. Using longitudinal in vivo recordings, they show that stable #PlaceFields progressively emerge as active cells increase their likelihood of remaining active across sessions. This gradual stabilization hinges on #behavioral‑timescale #SynapticPlasticity, offering a new model of how CA1 memories solidify w/o #CatastrophicOverwriting.
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📖 Vaidya et al. investigate how #hippocampal #CA1 #PlaceCells form expanding #memory representations over days. Using longitudinal in vivo recordings, they show that stable #PlaceFields progressively emerge as active cells increase their likelihood of remaining active across sessions. This gradual stabilization hinges on #behavioral‑timescale #SynapticPlasticity, offering a new model of how CA1 memories solidify w/o #CatastrophicOverwriting.
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📖 Vaidya et al. investigate how #hippocampal #CA1 #PlaceCells form expanding #memory representations over days. Using longitudinal in vivo recordings, they show that stable #PlaceFields progressively emerge as active cells increase their likelihood of remaining active across sessions. This gradual stabilization hinges on #behavioral‑timescale #SynapticPlasticity, offering a new model of how CA1 memories solidify w/o #CatastrophicOverwriting.
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📖 Vaidya et al. investigate how #hippocampal #CA1 #PlaceCells form expanding #memory representations over days. Using longitudinal in vivo recordings, they show that stable #PlaceFields progressively emerge as active cells increase their likelihood of remaining active across sessions. This gradual stabilization hinges on #behavioral‑timescale #SynapticPlasticity, offering a new model of how CA1 memories solidify w/o #CatastrophicOverwriting.
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This paper by Raju et al. proposes a unified model – “clone‑structured causal #graphs” (#CSCG) – for #hippocampal #SpatialCoding. It suggests that #SpatialMaps arise from #learning #latent higher‑order sequences rather than representing #EuclideanSpace directly. The model elegantly explains phenomena like #PlaceFields, #SplitterCells, #contextual #remapping, and predicts when #PlaceFieldMapping may mislead.
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This paper by Raju et al. proposes a unified model – “clone‑structured causal #graphs” (#CSCG) – for #hippocampal #SpatialCoding. It suggests that #SpatialMaps arise from #learning #latent higher‑order sequences rather than representing #EuclideanSpace directly. The model elegantly explains phenomena like #PlaceFields, #SplitterCells, #contextual #remapping, and predicts when #PlaceFieldMapping may mislead.
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This paper by Raju et al. proposes a unified model – “clone‑structured causal #graphs” (#CSCG) – for #hippocampal #SpatialCoding. It suggests that #SpatialMaps arise from #learning #latent higher‑order sequences rather than representing #EuclideanSpace directly. The model elegantly explains phenomena like #PlaceFields, #SplitterCells, #contextual #remapping, and predicts when #PlaceFieldMapping may mislead.
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This paper by Raju et al. proposes a unified model – “clone‑structured causal #graphs” (#CSCG) – for #hippocampal #SpatialCoding. It suggests that #SpatialMaps arise from #learning #latent higher‑order sequences rather than representing #EuclideanSpace directly. The model elegantly explains phenomena like #PlaceFields, #SplitterCells, #contextual #remapping, and predicts when #PlaceFieldMapping may mislead.
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This paper by Raju et al. proposes a unified model – “clone‑structured causal #graphs” (#CSCG) – for #hippocampal #SpatialCoding. It suggests that #SpatialMaps arise from #learning #latent higher‑order sequences rather than representing #EuclideanSpace directly. The model elegantly explains phenomena like #PlaceFields, #SplitterCells, #contextual #remapping, and predicts when #PlaceFieldMapping may mislead.
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If you want to study #HippocampalReplay... Use ephys, not #CalciumImaging!!
(Calcium imaging doesn't detect single spikes well, but replay mostly involves single spikes)
#Neuroscience #SpatialCognition #Hippocampus -
"We now leave #navigation to our #phones. The result: more of us are getting hopelessly lost." #JohnHarris
https://www.theguardian.com/commentisfree/2025/apr/27/smartphone-apps-gps-mountain-rescues-rise
"#GPS has cut us off from a basic human skill. It’s no wonder #mountain #rescuers are being called out so often. [...] Between 2019 and 2024, the total number of #rescues had increased by 24%, and there was a marked jump among the 18 to 24 age group, among whom callouts almost doubled. [...] across #Britain, there is evidently a mounting problem about the gap between people’s urge to experience wild and open spaces, and their ability to cope when they actually get there. [...] research suggesting that “people with greater lifetime GPS experience have worse #spatialmemory during self-guided navigation”. [...] retested 3 years after the initial research, when they found that “greater GPS use since initial testing was associated with a steeper decline in hippocampal-dependent spatial memory”. The #hippocampus is the part of the brain that deals with navigation: among London taxi drivers, the need to memorise so many geographical details was found to cause it to increase in size. But here were findings that suggested the opposite: reliance on automated #directions reducing people’s capacity to navigate for themselves." #cartography
Thx #SophieBerrebi -
Thinking about #PlaceCells and the #Hippocampus, do you think results in rats (/rodents) generalise well to humans, and conversely?
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Today #Bandcamp Friday supports #LA fire recovery
90 song 'today only' compilation:
https://goodmusiccomp.bandcamp.com/album/good-music-to-lift-los-angelesFeaturing tracks by: #PerfumeGenius
#KFlay
#REM
#FayeWebster
#Dawes
#DeathCabforCutie #PostalService
#MacDeMarco
#NekoCase
#TVOnTheRadio
#Blondshell
#JeffTweedy
#TheWaronDrugs
#ToroyMoi
#TenaciousD
#ModestMouse
#LittleDragon
#LALOM
#MJLenderman
#CourtneyBarnett
#RealEstate
#MyMorningJacket
#HurrayForTheRiffRaff
#JasonIsbellandThe400Unit
#SoccerMommy
#AnimalCollective
#ColdWarKids
#RickyMontgomery
#Lucius
#TheMidnight
#SpiritualCramp
#KingGizzardAndTheLizardWizard
#MadiDiaz
#Interpol
#MilitarieGun
#ChelseaWolfe
#iRo
#DirtyProjectorsAndStargaze
#PUP
#Porches
#AnnieDiRusso
#HippoCampus
#NewPornographers
#TySegall
#NealFrancis
#MikiRatsula
#Dr.Dog
#TheDip
#LocalNatives
#TundeAdebimpe
#Gustaf
#WaterFromYourEyes
#Mudhoney
#Centro
#SilversunPickups
#RYX
#ManchesterOrchestra
#PoolKids
#FIDLAR
#TheArmed
#HEALTH
#Momma
#SYML
#MiyaFolick
#JoshRitter
#TheHeavyHeavy
#Pachyman
#NickThune
#SoulAsylum
#HotlineTNT
#BEL
#Sycco
#TheHoldSteady
#cumgirl8
#RichyMitchAndTheCoalMiners
#CunninghamBird
#LalaLala
#TheoKatzman
#CassandraJenkins
#brotherkenzie
#ImWithHer
#ChrisCohen
#FlockofDimes
#Friko
#GeorgeAlice
#ThisIsLorelei
#ShannonLay
#Eggy
#AlyciaLang
#JamesHenryJr
#WatkinsFamilyHour -
Hi #Neuroscientists, do you know someone working on #HippocampalReplay (either experimentally or computationally) who might want to go to #EBBS25 (it's in Bordeaux, France)?
I'm thinking about submitting a symposium proposal and don't want to be biased towards only people I already know.. 🙏
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Modeling the #hippocampus: @BlueBrainPjt presents a community-based, full-scale in silico model of the rat #hippocampal CA1 region that integrates diverse experimental data from synapse to network #PLOSBiology https://plos.io/3ApZgzz
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Modeling the #hippocampus: @BlueBrainPjt presents a community-based, full-scale in silico model of the rat #hippocampal CA1 region that integrates diverse experimental data from synapse to network #PLOSBiology https://plos.io/3ApZgzz
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Modeling the #hippocampus: @BlueBrainPjt presents a community-based, full-scale in silico model of the rat #hippocampal CA1 region that integrates diverse experimental data from synapse to network #PLOSBiology https://plos.io/3ApZgzz
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Modeling the #hippocampus: @BlueBrainPjt presents a community-based, full-scale in silico model of the rat #hippocampal CA1 region that integrates diverse experimental data from synapse to network #PLOSBiology https://plos.io/3ApZgzz