ArticleJournal of neurology2024
Cortical thickness modeling and variability in Alzheimer's disease and frontotemporal dementia.
Article in Journal of neurology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
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Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Association between air pollution exposure and brain cortical thickness throughout the lifespan: A systematic review.Neuroscience · 2024Pooled it
- Resveratrol Ameliorates Brain Functions During Gestation in Mancozeb-Low-Dose-Induced Brain Disorders via Mitigating Inflammation, Lipid Peroxidation, Mitochondrial Dysfunction, DNA Damage, Cell Death, and Histopathological Alterations.Molecular neurobiology · 2026Article
- Cortical asymmetry in autosomal dominant Alzheimer's disease progression.Brain communications · 2026Article
- Distinguishing early from late mild cognitive impairment: a multi-level analysis of regional morphometry and KLS-derived network topology.Frontiers in aging neuroscience · 2026Article
- Fractional Anisotropy Alterations in Key White Matter Pathways Associated with Cognitive Performance Assessed by MoCA.Neurology international · 2025Article
- Genetically determined Alzheimer's disease research advances: The Down Syndrome & Autosomal Dominant Alzheimer's Disease 2024 Conference.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025Review
- Atrophy signature for alpha-synuclein copathology in Alzheimer's disease.Alzheimer's & dementia (Amsterdam, Netherlands)Article
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13 authors.
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Abstract
BACKGROUND AND
objectiveAlzheimer's disease (AD) and frontotemporal dementia (FTD) show different patterns of cortical thickness (CTh) loss compared with healthy controls (HC), even though there is relevant heterogeneity between individuals suffering from each of these diseases. Thus, we developed CTh models to study individual variability in AD, FTD, and HC.
methodsWe used the baseline CTh measures of 379 participants obtained from the structural MRI processed with FreeSurfer. A total of 169 AD patients (63 ± 9 years, 65 men), 88 FTD patients (64 ± 9 years, 43 men), and 122 HC (62 ± 10 years, 47 men) were studied. We fitted region-wise temporal models of CTh using Support Vector Regression. Then, we studied associations of individual deviations from the model with cerebrospinal fluid levels of neurofilament light chain (NfL) and 14-3-3 protein and Mini-Mental State Examination (MMSE). Furthermore, we used real longitudinal data from 144 participants to test model predictivity.
resultsWe defined CTh spatiotemporal models for each group with a reliable fit. Individual deviation correlated with MMSE for AD and with NfL for FTD. AD patients with higher deviations from the trend presented higher MMSE values. In FTD, lower NfL levels were associated with higher deviations from the CTh prediction. For AD and HC, we could predict longitudinal visits with the presented model trained with baseline data. For FTD, the longitudinal visits had more variability.
conclusionWe highlight the value of CTh models for studying AD and FTD longitudinal changes and variability and their relationships with cognitive features and biomarkers.
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