ArticleJournal of Alzheimer's disease : JAD2020
Cortical Complexity Analyses and Their Cognitive Correlate in Alzheimer's Disease and Frontotemporal Dementia.
Article in Journal of Alzheimer's disease : JAD, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 2 of them syntheses that pooled it.
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Who cites it
33 citing papers in PubMed, 2 syntheses or guidelines pooled it, 54 citations in OpenAlex.
- Cortical complexity estimation using fractal dimension: A systematic review of the literature on clinical and nonclinical samples.The European journal of neuroscience · 2022Pooled it
- Cortical structure and the risk for Alzheimer's disease: a bidirectional Mendelian randomization study.Translational psychiatry · 2021Pooled it
- Generalizable and explainable deep learning for brain MRI: a multi-cohort evaluation of 3D architectures for age and sex prediction.Brain informatics · 2026Article
- ALS-FTD-linked CCNFJournal of neuroinflammation · 2026Article
- Association of structural brain changes with cognitive deficits and fatigue in patients with post-COVID-19 condition.Brain communications · 2026Article
- Morphological and metabolic alterations in different stages of Alzheimer's diseases: a study using surface-based morphometry (SBM) and amide proton transfer (APT) imaging.Scientific reports · 2025Article
- Cortical changes in women with systemic lupus erythematosus with mild cognitive impairment: a voxel-based morphometry and surface-based morphometry study.Lupus science & medicine · 2025Article
- A Comparison of the Brain Parameters of Thais with Normal Cognition, Mild Cognitive Impairment, and Dementia.Brain sciences · 2025Article
- Molecular architecture of the altered cortical complexity in autism.Molecular autism · 2025Article
- Investigating Cortical Complexity in Mixed Dementia through Nonlinear Dynamic Analyses: A Resting-State EEG Study.Iranian journal of psychiatry · 2024Article
- Sleep and circadian rhythm disruptions in behavioral variant frontotemporal dementia.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024Article
- Machine learning models for diagnosing Alzheimer's disease using brain cortical complexity.Frontiers in aging neuroscience · 2024Article
- Editorial: The role of neuroimaging and neurostimulation in detecting and treating Alzheimer's disease and mild cognitive impairment.Frontiers in human neuroscience · 2024Article
- Fractal Dimension Analysis in Neurological Disorders: An Overview.Advances in neurobiology · 2024Review
- Fractal Dimension Studies of the Brain Shape in Aging and Neurodegenerative Diseases.Advances in neurobiology · 2024Article
- Alzheimer's disease cortical morphological phenotypes are associated with TOMM40'523-APOE haplotypes.Neurobiology of aging · 2023Article
- Brain Complexity and Psychiatric Disorders.Iranian journal of psychiatry · 2023Review
- Cortical signature of depressive symptoms in frontotemporal dementia: A surface-based analysis.Annals of clinical and translational neurology · 2023Article
- Cortical morphological changes in multiple sclerosis patients: a study of cortical thickness, sulcal depth, and local gyrification index.Neuroradiology · 2023Article
- Behavioral variant frontotemporal dementia in patients with primary psychiatric disorder: A magnetic resonance imaging study.Brain and behavior · 2023Article
Corrections and comments
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Authors and funding
8 authors at 2 institutions in 3 countries.
Funding
Abstract
backgroundThe changes of cortical structure in Alzheimer's disease (AD) and frontotemporal dementia (FTD) are usually described in terms of atrophy. However, neurodegenerative diseases may also affect the complexity of cortical shape, such as the fractal dimension of the brain surface.
objectiveIn this study, we aimed at assessing the regional patterns of cortical thickness and fractal dimension changes in a cross-sectional cohort of patients with AD and FTD.
methodsThirty-two people with symptomatic AD-pathology (clinically probable AD, n = 18, and amyloid-positive mild cognitive impairment, n = 14), 24 with FTD and 28 healthy controls underwent high-resolution 3T structural brain MRI. Using surface-based morphometry, we created vertex-wise cortical thickness and fractal dimension maps for group comparisons and correlations with cognitive measures in AD and FTD.
resultsIn addition to the well-established pattern of cortical thinning encompassing temporoparietal regions in AD and frontotemporal areas in FTD, we observed reductions of fractal dimension encompassing cingulate areas and insula for both conditions, but specifically involving orbitofrontal cortex and paracentral gyrus for FTD (FDR p < 0.05). Correlational analyses between fractal dimension and cognition showed that these regions were particularly vulnerable with regards to memory and language impairment, especially in FTD.
conclusionWhile the present study demonstrates globally similar patterns of fractal dimension changes in AD and FTD, we observed distinct cortical complexity correlates of cognitive domains impairment. Further studies are required to assess cortical complexity measures at earlier disease stages (e.g., in prodromal/asymptomatic carriers of FTD-related gene mutations) and determine whether fractal dimension represents a sensitive imaging marker for prevention and diagnostic strategies.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.