ArticleNeuroImage. Clinical2019
Fractal dimension of cerebral white matter: A consistent feature for prediction of the cognitive performance in patients with small vessel disease and mild cognitive impairment.
Article in NeuroImage. Clinical, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.
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Who cites it
25 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
- Longitudinal surface-based morphometry reveals potential MRI biomarkers correlated with multidimensional brain health measures.Brain imaging and behavior · 2026Article
- Deep Learning for Classifying and Cognitive Profiling of Subcortical Vascular Cognitive Impairment.Cyborg and bionic systems (Washington, D.C.) · 2026Article
- Fractal analysis of brain shape formation predicts age and genetic similarity in human newborns.Nature neuroscience · 2026Article
- Longitudinal Surface-Based Morphometry Reveals Potential MRI Biomarkers Correlated with Multidimensional Brain Health Measures.Research square · 2025Article
- Unlocking the potential of radiomics in identifying fibrosing and inflammatory patterns in interstitial lung disease.La Radiologia medica · 2025Article
- Review
- Molecular architecture of the altered cortical complexity in autism.Molecular autism · 2025Article
- T1- and diffusion tensor-based fractal dimension of white and grey matter in multiple sclerosis.Frontiers in neurology · 2025Article
- Correlations Between Morpho-structural Properties of the Brain and Cognitive and Motor Deficits in Individuals with Traumatic Brain Injury.Neurotrauma reports · 2025Article
- Efficacy of MRI data harmonization in the age of machine learning: a multicenter study across 36 datasets.Scientific data · 2024Article
- Morphology and Fractal-Based Classifications of Neurons and Microglia in Two and Three Dimensions.Advances in neurobiology · 2024Review
- Fractal Dimension Analysis in Neurological Disorders: An Overview.Advances in neurobiology · 2024Review
- Editorial: Methods and application in fractal analysis of neuroimaging data.Frontiers in human neuroscience · 2024Article
- Machine learning models for diagnosing Alzheimer's disease using brain cortical complexity.Frontiers in aging neuroscience · 2024Article
- Salivary Oxytocin and Antioxidative Response to Robotic Touch in Adults with Autism Spectrum Disorder.International journal of molecular sciences · 2023Article
- Deep medullary veins: a promising neuroimaging marker for mild cognitive impairment in outpatients.BMC neurology · 2023Article
- Decreased Brain Structural Network Connectivity in Patients with Mild Cognitive Impairment: A Novel Fractal Dimension Analysis.Brain sciences · 2023Article
- Fractal dimension of the cortical gray matter outweighs other brain MRI features as a predictor of transition to dementia in patients with mild cognitive impairment and leukoaraiosis.Frontiers in human neuroscience · 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
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Patients with cerebral small vessel disease (SVD) frequently show decline in cognitive performance. However, neuroimaging in SVD patients discloses a wide range of brain lesions and alterations so that it is often difficult to understand which of these changes are the most relevant for cognitive decline. It has also become evident that visually-rated alterations do not fully explain the neuroimaging correlates of cognitive decline in SVD. Fractal dimension (FD), a unitless feature of structural complexity that can be computed from high-resolution T
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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.