ArticleHuman brain mapping2018
Cognitive abilities, brain white matter hyperintensity volume, and structural network connectivity in older age.
Article in Human brain mapping, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.
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Who cites it
30 citing papers in PubMed.
- Free water: A marker of age-related modifications of the cingulum white matter and its association with cognitive decline.PloS one · 2020Trial
- Lights for aging: Can photobiomodulation restore functionality in the cerebral networks of aged individuals?Neural regeneration research · 2026Article
- Functional Connectome Predicts Cognition and Links White Matter Hyperintensity Burden to Cognitive Impairment Across the Vascular Cognitive Impairment Continuum.Brain sciences · 2026Article
- General cognitive function and the brain's structural connectome.bioRxiv : the preprint server for biology · 2026Article
- Practical judgment in aging: examining behavioral vulnerabilities and neurobiological correlates.Frontiers in psychology · 2026Article
- MRI-based glymphatic markers and composite scoring for the discrimination of mild cognitive impairment in cerebral small vessel disease.Neuroradiology · 2025Article
- Electrophysiological resting-state signatures link polygenic scores to general intelligence.Scientific reports · 2025Observational
- Associations of cholinergic white matter hyperintensity volume with cognitive decline and incident dementia in older adults: a cohort study.BMC geriatrics · 2025Article
- Cognitive Compensation Depends on Frontoparietal Network Structure-Function Coupling in Patients With White Matter Hyperintensity.Brain and behavior · 2025Article
- The interplay between polygenic score for tumor necrosis factor-α, brain structural connectivity, and processing speed in major depression.Molecular psychiatry · 2024Article
- Prediction of cognitive performance differences in older age from multimodal neuroimaging data.GeroScience · 2024Article
- Systolic blood pressure variability in late-life predicts cognitive trajectory and risk of Alzheimer's disease.Frontiers in aging neuroscience · 2024Article
- Weighting the structural connectome: Exploring its impact on network properties and predicting cognitive performance in the human brain.Network neuroscience (Cambridge, Mass.) · 2024Article
- Structural architecture and brain network efficiency link polygenic scores to intelligence.Human brain mapping · 2023Article
- Disconnectome associated with progressive white matter hyperintensities in aging: a virtual lesion study.Frontiers in aging neuroscience · 2023Article
- The effect of home-based transcranial direct current stimulation in cognitive performance in fibromyalgia: A randomized, double-blind sham-controlled trial.Frontiers in human neuroscience · 2022Article
- Brain and cognitive ageing: The present, and some predictions (…about the future).Aging brain · 2022Article
- Inner Hemispheric and Interhemispheric Connectivity Balance in the Human Brain.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2021Article
- Reorganization of brain structural networks in aging: A longitudinal study.Journal of neuroscience research · 2021Article
- White Matter Hyperintensity Volume and Location: Associations With WM Microstructure, Brain Iron, and Cerebral Perfusion.Frontiers in aging neuroscience · 2021Article
Corrections and comments
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Authors and funding
12 authors.
Funding
Abstract
objectiveTo assess brain structural connectivity in relation to cognitive abilities in healthy ageing, and the mediating effects of white matter hyper-intensity (WMH) volume.
methodsMRI data were analysed in 558 members of the Lothian Birth Cohort 1936. Brains were segmented into 85 regions and combined with tractography to generate structural connectomes. WMH volume was quantified. Relationships between whole-brain connectivity, assessed using graph theory metrics, and four major domains of cognitive ability (visuospatial reasoning, verbal memory, information processing speed and crystallized ability) were investigated, as was the mediating effects of WMH volume on these relationships.
resultsVisuospatial reasoning was associated with network strength, mean shortest path length, and global efficiency. Memory was not associated with any network connectivity metric. Information processing speed and crystallized ability were associated with all network measures. Some relationships were lost when adjusted for mean network FA. WMH volume mediated 11%-15% of the relationships between most network measures and information processing speed, even after adjusting for mean network FA.
conclusionBrain structural connectivity relates to visuospatial reasoning, information processing speed and crystallized ability, but not memory, in this relatively healthy age-homogeneous cohort of 73 year olds. When adjusted for mean FA across the network, most relationships are lost, except with information processing speed suggesting that the underlying topological network structure is related to this cognitive domain. Moreover, the connectome-processing speed relationship is partly mediated by WMH volume in this cohort. Hum Brain Mapp 39:622-632, 2018. © 2017 The Authors Human Brain Mapping Published by Wiley Periodicals, Inc.
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