ArticleNeurobiology of aging2017
Age-related differences in the structural complexity of subcortical and ventricular structures.
Article in Neurobiology of aging, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
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Who cites it
27 citing papers in PubMed.
- Structural Brain Changes Are Linked to Clinical and Cognitive Outcomes in Anti-LGI1 Encephalitis.Neurology(R) neuroimmunology & neuroinflammation · 2026Observational
- Alterations in cortical surface morphometry in fibromyalgia: a multi-parametric study.Frontiers in psychology · 2026Article
- Fractal analysis of brain shape formation predicts age and genetic similarity in human newborns.Nature neuroscience · 2026Article
- A multimodal imaging-based integrative framework for HIV-associated cognitive impairment and treatment response.Frontiers in neuroscience · 2026Article
- Differences in structural brain morphometry between musicians and non-musicians.Frontiers in human neuroscience · 2025Article
- Ventricular volume adjustment of brain regions depicts brain changes associated with HIV infection and aging better than intracranial volume adjustment.Frontiers in neurology · 2025Article
- Dataset factors associated with age-related changes in brain structure and function in neurodevelopmental conditions.Human brain mapping · 2024Article
- Editorial: Methods and application in fractal analysis of neuroimaging data.Frontiers in human neuroscience · 2024Article
- Structural brain morphometry differences and similarities between young patients with Crohn's disease in remission and healthy young and old controls.Frontiers in neuroscience · 2024Article
- Changes in the volumes and asymmetry of subcortical structures in healthy individuals according to gender.Anatomical science international · 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
- Longitudinal Effects of Combination Antiretroviral Therapy on Cognition and Neuroimaging Biomarkers in Treatment-Naive People With HIV.Neurology · 2022Article
- Scan Once, Analyse Many: Using Large Open-Access Neuroimaging Datasets to Understand the Brain.Neuroinformatics · 2022Article
- Changes of cerebral cortical structure and cognitive dysfunction in "healthy hemisphere" after stroke: a study about cortical complexity and sulcus patterns in bilateral ischemic adult moyamoya disease.BMC neuroscience · 2021Article
- Beyond volumetry: Considering age-related changes in brain shape complexity using fractal dimensionality.Aging brain · 2021Article
- Cortical Complexity in Anorexia Nervosa: A Fractal Dimension Analysis.Journal of clinical medicine · 2020Article
- Reduced Cortical Complexity in Cirrhotic Patients with Minimal Hepatic Encephalopathy.Neural plasticity · 2020Article
- Robust estimation of sulcal morphology.Brain informatics · 2019Article
- Particle Swarm Optimization for Positioning the Coil of Transcranial Magnetic Stimulation.BioMed research international · 2019Article
- Age is reflected in the Fractal Dimensionality of MRI Diffusion Based Tractography.Scientific reports · 2018Article
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2 authors.
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Abstract
It has been well established that the volume of several subcortical structures decreases in relation to age. Different metrics of cortical structure (e.g., volume, thickness, surface area, and gyrification) have been shown to index distinct characteristics of interindividual differences; thus, it is important to consider the relation of age to multiple structural measures. Here, we compare age-related differences in subcortical and ventricular volume to those differences revealed with a measure of structural complexity, quantified as fractal dimensionality. Across 3 large data sets, totaling nearly 900 individuals across the adult lifespan (aged 18-94 years), we found greater age-related differences in complexity than volume for the subcortical structures, particularly in the caudate and thalamus. The structural complexity of ventricular structures was not more strongly related to age than volume. These results demonstrate that considering shape-related characteristics improves sensitivity to detect age-related differences in subcortical structures.
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