Publications by authors named "K A Tsvetanov"

Functional compensation is a common notion in the neuroscience of healthy ageing, whereby older adults are proposed to recruit additional brain activity to compensate for reduced cognitive function. However, whether this additional brain activity in older participants actually helps their cognitive performance remains debated. We examined brain activity and cognitive performance in a human lifespan sample ( = 223) while they performed a problem-solving task (based on Cattell's test of fluid intelligence) during functional magnetic resonance imaging.

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Article Synopsis
  • Caregiver histories are valuable for diagnosing neurodegenerative diseases; the study analyzed 4952 caregiver questionnaires from 2481 participants.
  • Using advanced machine learning, researchers achieved high diagnostic accuracy (mean AUC 0.83) between different diseases, while observing changes in symptoms over time.
  • The findings stress the importance of structured caregiver reports for diagnosing dementia and suggest the Cambridge Behavioural Inventory can effectively track disease progression in clinical settings.
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Neural activity cannot be directly observed using fMRI; rather it must be inferred from the hemodynamic responses that neural activity causes. Solving this inverse problem is made possible through the use of forward models, which generate predicted hemodynamic responses given hypothesised underlying neural activity. Commonly-used hemodynamic models were developed to explain data from healthy young participants; however, studies of ageing and dementia are increasingly shifting the focus toward elderly populations.

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Introduction: Genetic mutation carriers of frontotemporal dementia can remain cognitively well despite neurodegeneration. A better understanding of brain structural, perfusion, and functional patterns in the pre-symptomatic stage could inform accurate staging and potential mechanisms.

Methods: We included 207 pre-symptomatic genetic mutation carriers and 188 relatives without mutations.

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Neuroinflammation is an important pathogenic mechanism in many neurodegenerative diseases, including those caused by frontotemporal lobar degeneration (FTLD). Postmortem and in vivo imaging studies have shown brain inflammation early in these conditions, proportionate to symptom severity and rate of progression. However, evidence for corresponding blood markers of inflammation and their relationship with central inflammation and clinical outcome are limited.

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