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#earlyonsetdementia — Public Fediverse posts

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

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  1. Mum tried to hide her dementia but I knew something was wrong

    Memory problems are often the main symptoms people associate with dementia, but the first changes Beth Jones noticed…
    #NewsBeep #News #Healthcare #Alzheimer's #AU #Australia #BethJones #Dementia #Dementiaawareness #earlyonsetdementia #FrontotemporalDementia #Health #Health(section)
    newsbeep.com/au/909823/

  2. Almost late for the final meeting of my seminar on “History and Memory” today because I locked my keys in my office for the umpteenth time this semester.

    #Irony #HigherEd #MiddleAgeDemographic #EarlyOnsetDementia

  3. I’m excited to share that our article has been published: “Brain Topology Disruption in Early-Onset Dementia: Review of Current Findings and the Need for Network Resilience-Focused Models” (dx.doi.org/10.1002/brb3.70903)

    In this review, we highlight several important insights:

    - A summary of how early‐onset forms of dementia (including Alzheimer’s disease, frontotemporal dementia (FTD), and behavioral variant FTD) show disruption in brain network topology (both structural and functional) rather than purely focal pathology.

    - Evidence that brain networks lose their optimal organisational properties (e.g., balance of segregation and integration) in early‐onset dementia, reflecting decline in network resilience. For example, previous work has shown disrupted segregation/integration in large‐scale brain networks in Alzheimer’s/MCI.

    - The concept of network resilience as a key lens: rather than only asking “where damage occurs”, the paper argues we should ask “how the network topology fails to compensate, reorganise or maintain function under pathology”. This shifts the view to resilience‐focused models.

    - Review of methodological findings: how graph‐theoretic metrics (clustering coefficient, global/local efficiency, modularity, assortativity, small‐worldness) are being applied to neuroimaging and electrophysiology in early dementia.

    - Gaps and opportunities: the need for models that integrate network resilience, longitudinal data, multimodal connectivity (structural + functional + electrophysiological) and early‐onset cohorts; and the translational potential for biomarkers and interventions that support network integrity rather than just reduce pathology.

    I believe this work contributes to bridging neuroscience, network theory, and clinical neurology, and invites discussion on how we can design interventions that strengthen brain network resilience in dementia.

    Thanks to my co-authors (Hema Nawani, Sredha Sunil) and reviewers, and a huge thank you to our professor Veeky Baths for his guidance and support throughout this work.

    If you’re working in cognitive neuroscience, network approaches to brain disorders, early‐onset dementia, connectomics or translational neurology, let’s collaborate to make a real impact.

    #Neuroscience #BrainNetworks #Dementia #EarlyOnsetDementia #Neurodegeneration #NetworkResilience #ClinicalNeuroscience #GraphTheory #NetworkNeuroscience #ComputationalNeuroscience

  4. New research links loneliness to early-onset dementia

    Isolation, #loneliness, and a lack of connection aren’t just personal emotional experiences. It’s increasingly clear that they are major contributors to an urgent medical and #publichealth threat with profound consequences for society, from substance abuse to suicide to diminishing life expectancy in the U.S.

    #earlyonsetdementia #health

    fastcompany.com/91010343/lonel

  5. Early-Onset Dementia Risk Tied To #Alcoholism, #SocialIsolation And These Other Factors, Study Finds

    Depression, vitamin D deficiency, social isolation and diabetes are among a dozen health issues that can increase the risk of #earlyonsetdementia, according to a new study, the latest evidence on causes of the condition beyond genetics.

    forbes.com/sites/maryroeloffs/

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