ArticleFrontiers in aging neuroscience2017
Linking Inter-Individual Variability in Functional Brain Connectivity to Cognitive Ability in Elderly Individuals.
Article in Frontiers in aging neuroscience, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.
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Who cites it
29 citing papers in PubMed.
- The Importance of Studying the Cognitive Neuroscience of Aging Across Cultures.Annals of the New York Academy of Sciences · 2026Review
- Modeling Complex Effects and Individual Variability in Multi-Paradigm fMRI with Nonlinear Mixed Models.bioRxiv : the preprint server for biology · 2026Article
- Cognition and brain network connectivity in timed up & go performance.GeroScience · 2026Article
- Linking Individual Variability of Multi-modal Connectivity, Lifestyle, Psycho-Social Factors and Cognition in Older Adults.Aging and disease · 2025Article
- Altered Brain-Behavior Association During Resting State is a Potential Psychosis Risk Marker.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Variation in brain aging: A review and perspective on the utility of individualized approaches to the study of functional networks in aging.Neurobiology of aging · 2025Review
- Network control theory applied to the human connectome: A study on variability and discriminability of fMRI connectomic features under normal and defective sensorineural conditions.Network neuroscience (Cambridge, Mass.) · 2025Article
- The link between executive skills and neural dynamics during encoding, inhibition, and retrieval of visual information in the elderly.Human brain mapping · 2024Article
- Individual differences in the language task-evoked and resting-state functional networks.Frontiers in human neuroscience · 2023Article
- Evaluation of functional MRI-based human brain parcellation: a review.Journal of neurophysiology · 2022Review
- Impact of Metacognitive and Psychological Factors in Learning-Induced Plasticity of Resting State Networks.Biology · 2022Article
- Multiscale neural signatures of major depressive, anxiety, and stress-related disorders.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- Utilization of Host and Microbiome Features in Determination of Biological Aging.Microorganisms · 2022Review
- Article
- Weaker Connectivity of the Cortical Networks Is Linked with the Uncharacteristic Gait in Youth with Cerebral Palsy.Brain sciences · 2021Article
- Brain-based mechanisms of late-life depression: Implications for novel interventions.Seminars in cell & developmental biology · 2021Review
- Functional connectome fingerprinting: Identifying individuals and predicting cognitive functions via autoencoder.Human brain mapping · 2021Article
- Atlas55+: Brain Functional Atlas of Resting-State Networks for Late Adulthood.Cerebral cortex (New York, N.Y. : 1991) · 2021Article
- Effect of Age in Auditory Go/No-Go Tasks: A Magnetoencephalographic Study.Brain sciences · 2020Article
- Aging and Rejuvenation of Neural Stem Cells and Their Niches.Cell stem cell · 2020Review
Corrections and comments
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Increasing evidence suggests that functional brain connectivity is an important determinant of cognitive aging. However, the fundamental concept of inter-individual variations in functional connectivity in older individuals is not yet completely understood. It is essential to evaluate the extent to which inter-individual variability in connectivity impacts cognitive performance at an older age. In the current study, we aimed to characterize individual variability of functional connectivity in the elderly and to examine its significance to individual cognition. We mapped inter-individual variability of functional connectivity by analyzing whole-brain functional connectivity magnetic resonance imaging data obtained from a large sample of cognitively normal older adults. Our results demonstrated a gradual increase in variability in primary regions of the visual, sensorimotor, and auditory networks to specific subcortical structures, particularly the hippocampal formation, and the prefrontal and parietal cortices, which largely constitute the default mode and fronto-parietal networks, to the cerebellum. Further, the inter-individual variability of the functional connectivity correlated significantly with the degree of cognitive relevance. Regions with greater connectivity variability demonstrated more connections that correlated with cognitive performance. These results also underscored the crucial function of the long-range and inter-network connections in individual cognition. Thus, individual connectivity-cognition variability mapping findings may provide important information for future research on cognitive aging and neurocognitive diseases.
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