ArticleHuman brain mapping2017
Complexity analysis of cortical surface detects changes in future Alzheimer's disease converters.
Article in Human brain mapping, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.
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Who cites it
24 citing papers in PubMed, 1 synthesis or guideline pooled it, 59 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
- Hippocampal grey matter changes across scales in Alzheimer's Disease.bioRxiv : the preprint server for biology · 2025Article
- Cortical morphology changes in default mode network regions as predictors of cognitive decline in relation to amyloid and tau deposits.Brain communications · 2025Article
- Cortical folding correlates to aging and Alzheimer's Disease's cognitive and CSF biomarkers.Scientific reports · 2024Article
- Editorial: Recent developments in neuroimaging in mood disorders.Frontiers in psychiatry · 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
- Structural brain morphology in young adult women who have been choked/strangled during sex: A whole-brain surface morphometry study.Brain and behavior · 2023Article
- Age- and sex-related differences in cortical morphology and their relationships with cognitive performance in healthy middle-aged and older adults.Quantitative imaging in medicine and surgery · 2023Article
- Age-associated sex and asymmetry differentiation in hemispheric and lobar cortical ribbon complexity across adulthood: A UK Biobank imaging study.Human brain mapping · 2023Article
- Decoding the radiomic features of dorsolateral prefrontal cortex in individuals with accelerated cortical changes: implications for personalized transcranial magnetic stimulation.Journal of medical imaging (Bellingham, Wash.) · 2023Article
- Alterations of peripheral cytokines, BDNF, and surface-based morphometry indices in T2DM patients without cognitive impairment.Frontiers in neuroscience · 2023Article
- Reduced cortical complexity in patients with end-stage kidney disease prior to dialysis initiation.Frontiers in neuroscience · 2022Article
- Dynamic changes of region-specific cortical features and scalp-to-cortex distance: implications for transcranial current stimulation modeling.Journal of neuroengineering and rehabilitation · 2021Article
- Surface-based morphometry study of the brain in benign childhood epilepsy with centrotemporal spikes.Annals of translational medicine · 2020Article
- Articulation rehabilitation induces cortical plasticity in adults with non-syndromic cleft lip and palate.Aging · 2020Article
- The association of grey matter volume and cortical complexity with individual differences in children's arithmetic fluency.Neuropsychologia · 2020Article
- Cortical Complexity Analyses and Their Cognitive Correlate in Alzheimer's Disease and Frontotemporal Dementia.Journal of Alzheimer's disease : JAD · 2020Article
- Brain Cortical Complexity Alteration in Amyotrophic Lateral Sclerosis: A Preliminary Fractal Dimensionality Study.BioMed research international · 2020Article
Corrections and comments
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Authors and funding
6 authors at 4 institutions in 2 countries.
Funding
Abstract
Alzheimer's disease (AD) is a neurological disorder that creates neurodegenerative changes at several structural and functional levels in human brain tissue. The fractal dimension (FD) is a quantitative parameter that characterizes the morphometric variability of the human brain. In this study, we investigate spherical harmonic-based FD (SHFD), thickness, and local gyrification index (LGI) to assess whether they identify cortical surface abnormalities toward the conversion to AD. We study 33 AD patients, 122 mild cognitive impairment (MCI) patients (50 MCI converters and 29 MCI nonconverters), and 32 healthy controls (HC). SHFD, thickness, and LGI methodology allowed us to perform not only global level but also local level assessments in each cortical surface vertex. First, we found that global SHFD decreased in AD and future MCI converters compared to HC, and in MCI converters compared to MCI nonconverters. Second, we found that local white matter SHFD was reduced in AD compared to HC and MCI mainly in medial temporal lobe. Third, local white-matter SHFD was significantly reduced in MCI converters compared to MCI nonconverters in distributed areas, including the medial frontal lobe. Thickness and LGI metrics presented a reduction in AD compared to HC. Thickness was significantly reduced in MCI converters compared to healthy controls in entorhinal cortex and lateral temporal. In summary, SHFD was the only surface measure showing differences between MCI individuals that will convert or remain stable in the next 4 years. We suggest that SHFD may be an optimal complement to thickness loss analysis in monitoring longitudinal changes in preclinical and clinical stages of AD. Hum Brain Mapp 38:5905-5918, 2017. © 2017 Wiley Periodicals, Inc.
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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.