ArticleNeuroImage2016
Cortical complexity as a measure of age-related brain atrophy.
Article in NeuroImage, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 78 papers, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
78 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Cortical complexity estimation using fractal dimension: A systematic review of the literature on clinical and nonclinical samples.The European journal of neuroscience · 2022Pooled it
- Structural Brain Changes Are Linked to Clinical and Cognitive Outcomes in Anti-LGI1 Encephalitis.Neurology(R) neuroimmunology & neuroinflammation · 2026Observational
- Bias in Structural MRI Correlates of Delay Discounting due to Head Motion.Human brain mapping · 2026Article
- Association of structural brain changes with cognitive deficits and fatigue in patients with post-COVID-19 condition.Brain communications · 2026Article
- A multimodal imaging-based integrative framework for HIV-associated cognitive impairment and treatment response.Frontiers in neuroscience · 2026Article
- Fractal analysis of brain shape formation predicts age and genetic similarity in human newborns.Nature neuroscience · 2026Article
- Dissection of Neurotropic Theiler's Murine Encephalomyelitis Virus Induced Brain Atrophy in Single MHC Class I Mice of C57BL/6 Background.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 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
- Sex-specific brain morphological and network differences in patients showing Parkinson's disease with and without possible rapid eye movement sleep behavior disorder.Frontiers in neurology · 2025Article
- Cortical Morphological Networks Differ Between Gyri and Sulci.Neuroscience bulletin · 2025Article
- Low-Rank Tensor Fusion for Enhanced Deep Learning-Based Multimodal Brain Age Estimation.Brain sciences · 2024Article
- Abnormal topological structure of structural covariance networks based on fractal dimension in noise induced hearing loss.Scientific reports · 2024Article
- Article
- Gyrification across psychotic disorders: A bipolar-schizophrenia network of intermediate phenotypes study.Schizophrenia research · 2024Article
- Cortical folding correlates to aging and Alzheimer's Disease's cognitive and CSF biomarkers.Scientific reports · 2024Article
- Efficacy of MRI data harmonization in the age of machine learning: a multicenter study across 36 datasets.Scientific data · 2024Article
- Abnormal changes in neuropsychological function, brain structure and cerebral perfusion in patients with unruptured intracranial aneurysms.Frontiers in neurology · 2024Article
- Reduced cortical complexity in ventromedial prefrontal cortex is associated with a greater preference for risky and immediate rewards.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- aXonica: A support package for MRI based Neuroimaging.Biotechnology notes (Amsterdam, Netherlands) · 2024Article
- Editorial: Methods and application in fractal analysis of neuroimaging data.Frontiers in human neuroscience · 2024Article
18 more citing papers are in PubMed but not listed here.
Corrections and comments
- Erratum issued
Authors and funding
2 authors.
Funding
Abstract
The structure of the human brain changes in a variety of ways as we age. While a sizeable literature has examined age-related differences in cortical thickness, and to a lesser degree, gyrification, here we examined differences in cortical complexity, as indexed by fractal dimensionality in a sample of over 400 individuals across the adult lifespan. While prior studies have shown differences in fractal dimensionality between patient populations and age-matched, healthy controls, it is unclear how well this measure would relate to age-related cortical atrophy. Initially computing a single measure for the entire cortical ribbon, i.e., unparcellated gray matter, we found fractal dimensionality to be more sensitive to age-related differences than either cortical thickness or gyrification index. We additionally observed regional differences in age-related atrophy between the three measures, suggesting that they may index distinct differences in cortical structure. We also provide a freely available MATLAB toolbox for calculating fractal dimensionality.
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Registered trials
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.