ArticleNeurobiology of aging2015
Breadth and age-dependency of relations between cortical thickness and cognition.
Article in Neurobiology of aging, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.
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Who cites it
45 citing papers in PubMed.
- Assessing Age-Associated Influences on Paramagnetic and Diamagnetic Susceptibility Maps in Postmortem Human Brains.NMR in biomedicine · 2026Article
- White-matter connectivity shapes visual and semantic representations in the aging brain.bioRxiv : the preprint server for biology · 2026Article
- The association between amyloid-beta deposition on dual-task gait performance is partially moderated by cognitive functions in healthy older adults.Scientific reports · 2025Article
- Effects of cortical thickness, volume, and memory performance on age differences in neural reinstatement of scene information.Cerebral cortex (New York, N.Y. : 1991) · 2025Article
- Cortical Structure in Nodes of the Default Mode Network Estimates General Intelligence.Brain and behavior · 2025Article
- Depthwise cortical iron relates to functional connectivity and fluid cognition in healthy aging.Neurobiology of aging · 2025Article
- High-resolution structural connectivity mediates age-related differences in functional connectivity and fluid cognition.Brain communications · 2025Article
- Childhood engagement in cognitively stimulating activities moderates relationships between brain structure and cognitive function in adulthood.Neurobiology of aging · 2024Article
- Vulnerability of the Hippocampus to Insults: Links to Blood-Brain Barrier Dysfunction.International journal of molecular sciences · 2024Review
- Beyond the factor indeterminacy problem using genome-wide association data.Nature human behaviour · 2024Review
- In vivo tau is associated with change in memory and processing speed, but not reasoning, in cognitively unimpaired older adults.Neurobiology of aging · 2024Article
- High-resolution multi-shot diffusion imaging of structural networks in healthy neurocognitive aging.NeuroImage · 2023Article
- Leisure activity engagement across adulthood predicts cognitive change after five years: Do gender and age matter?Journal of the International Neuropsychological Society : JINS · 2023Article
- A novel causal mediation analysis approach for zero-inflated mediators.Statistics in medicine · 2023Article
- Persistent homology-based functional connectivity and its association with cognitive ability: Life-span study.Human brain mapping · 2023Article
- Assessing Flexibility of Solution Strategy: Strategy Shifting as a Measure of Cognitive Reserve.The journals of gerontology. Series B, Psychological sciences and social sciences · 2023Article
- Cortical thickness, gray matter volume, and cognitive performance: a crosssectional study of the moderating effects of age on their interrelationships.Cerebral cortex (New York, N.Y. : 1991) · 2023Article
- Age-related differences in frontoparietal activation for target and distractor singletons during visual search.Attention, perception & psychophysics · 2023Article
- Locus coeruleus and dorsal cingulate morphology contributions to slowed processing speed.Neuropsychologia · 2023Article
- Effects of age on the neural correlates of encoding source and item information: An fMRI study.Neuropsychologia · 2022Article
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6 authors.
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Abstract
Recent advances in neuroimaging have identified a large number of neural measures that could be involved in age-related declines in cognitive functioning. A popular method of investigating neural-cognition relations has been to determine the brain regions in which a particular neural measure is associated with the level of specific cognitive measures. Although this procedure has been informative, it ignores the strong interrelations that typically exist among the measures in each modality. An alternative approach involves investigating the number and identity of distinct dimensions within the set of neural measures and within the set of cognitive measures before examining relations between the 2 types of measures. The procedure is illustrated with data from 297 adults between 20 and 79 years of age with cortical thickness in different brain regions as the neural measures and performance on 12 cognitive tests as the cognitive measures. The results revealed that most of the relations between cortical thickness and cognition occurred at a general level corresponding to variance shared among different brain regions and among different cognitive measures. In addition, the strength of the thickness-cognition relation was substantially reduced after controlling the variation in age, which suggests that at least some of the thickness-cognition relations in age-heterogeneous samples may be attributable to the influence of age on each type of measure.
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