ArticleJournal of Alzheimer's disease : JAD2021
Predicting and Characterizing Neurodegenerative Subtypes with Multimodal Neurocognitive Signatures of Social and Cognitive Processes.
Article in Journal of Alzheimer's disease : JAD, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.
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Who cites it
22 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.
- Social cognition in Parkinson's disease: a comprehensive systematic review and integrative conceptual framework.Frontiers in aging neuroscience · 2026Pooled it
- Social Working Memory: a Systematic Review.Neuropsychology review · 2026Review
- Diversity-sensitive brain clocks linked to biophysical mechanisms in aging and dementia.Nature. Mental health · 2025Article
- Classification of AD and bvFTD using neuropsychological and neuropsychiatric variables: a machine learning study.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025Article
- Validation of the Cognitive-Emotional Perspective Taking test in patients with neurodegeneration.Journal of Alzheimer's disease : JAD · 2025Article
- A systematic review of cognitive and behavioral tools to differentiate behavioral variant frontotemporal dementia from other conditions.PCN reports : psychiatry and clinical neurosciences · 2024Review
- Viscous dynamics associated with hypoexcitation and structural disintegration in neurodegeneration via generative whole-brain modeling.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024Article
- Self-supervised multimodal learning for group inferences from MRI data: Discovering disorder-relevant brain regions and multimodal links.NeuroImage · 2024Article
- The BrainLat project, a multimodal neuroimaging dataset of neurodegeneration from underrepresented backgrounds.Scientific data · 2023Article
- The neurocognitive impact of loneliness and social networks on social adaptation.Scientific reports · 2023Article
- Social and non-social working memory in neurodegeneration.Neurobiology of disease · 2023Article
- Social concepts and the cerebellum: behavioural and functional connectivity signatures in cerebellar ataxic patients.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023Article
- Emotional descriptions increase accidental harm punishment and its cortico-limbic signatures during moral judgment in autism.Scientific reports · 2023Article
- Machine learning for predicting neurodegenerative diseases in the general older population: a cohort study.BMC medical research methodology · 2023Article
- The impact of regional heterogeneity in whole-brain dynamics in the presence of oscillations.Network neuroscience (Cambridge, Mass.) · 2023Article
- Moral Emotions and Their Brain Structural Correlates Across Neurodegenerative Disorders.Journal of Alzheimer's disease : JAD · 2023Article
- Multiclass characterization of frontotemporal dementia variants via multimodal brain network computational inference.Network neuroscience (Cambridge, Mass.) · 2023Article
- Functional connectivity in behavioral variant frontotemporal dementia.Brain and behavior · 2022Review
- Multimodal Neurocognitive Markers of Naturalistic Discourse Typify Diverse Neurodegenerative Diseases.Cerebral cortex (New York, N.Y. : 1991) · 2022Article
- Allostatic-Interoceptive Overload in Frontotemporal Dementia.Biological psychiatry · 2022Article
Corrections and comments
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Authors and funding
11 authors at 8 institutions in 6 countries.
Funding
Abstract
backgroundSocial cognition is critically compromised across neurodegenerative diseases, including the behavioral variant frontotemporal dementia (bvFTD), Alzheimer's disease (AD), and Parkinson's disease (PD). However, no previous study has used social cognition and other cognitive tasks to predict diagnoses of these conditions, let alone reporting the brain correlates of prediction outcomes.
objectiveWe performed a diagnostic classification analysis using social cognition, cognitive screening (CS), and executive function (EF) measures, and explored which anatomical and functional networks were associated with main predictors.
methodsMultiple group discriminant function analyses (MDAs) and ROC analyses of social cognition (facial emotional recognition, theory of mind), CS, and EF were implemented in 223 participants (bvFTD, AD, PD, controls). Gray matter volume and functional connectivity correlates of top discriminant scores were investigated.
resultsAlthough all patient groups revealed deficits in social cognition, CS, and EF, our classification approach provided robust discriminatory characterizations. Regarding controls, probabilistic social cognition outcomes provided the best characterization for bvFTD (together with CS) and PD, but not AD (for which CS alone was the best predictor). Within patient groups, the best MDA probabilities scores yielded high classification rates for bvFTD versus PD (98.3%, social cognition), AD versus PD (98.6%, social cognition + CS), and bvFTD versus AD (71.7%, social cognition + CS). Top MDA scores were associated with specific patterns of atrophy and functional networks across neurodegenerative conditions.
conclusionStandardized validated measures of social cognition, in combination with CS, can provide a dimensional classification with specific pathophysiological markers of neurodegeneration diagnoses.
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