ArticleHuman brain mapping2022
Interrelating differences in structural and functional connectivity in the older adult's brain.
Article in Human brain mapping, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 23 citations in OpenAlex.
- Increased frontal functional connectivity correlates with structural disconnection in the anterior corpus callosum in healthy older adults.Scientific reports · 2025Article
- Changing cognitive chimera states in human brain networks with age: Variations in cognitive integration and segregation.PLoS computational biology · 2025Article
- Linking Individual Variability of Multi-modal Connectivity, Lifestyle, Psycho-Social Factors and Cognition in Older Adults.Aging and disease · 2025Article
- A novel integration of brain structural and functional connectivity for identifying traumatic brain injury induced perturbations.Journal of neuroscience methods · 2025Article
- Prediction of Verbal Abilities From Brain Connectivity Data Across the Lifespan Using a Machine Learning Approach.Human brain mapping · 2025Article
- Influence of individual's age on the characteristics of brain effective connectivity.GeroScience · 2025Article
- Relationships of functional connectivity of motor cortex, primary somatosensory cortex, and cerebellum to balance performance in middle-aged and older adults.Neurobiology of aging · 2025Article
- Age-related alterations in functional and structural networks in the brain in macaque monkeys.Frontiers in neuroanatomy · 2025Article
- Network-based statistics distinguish anomic and Broca's aphasia.Brain structure & function · 2024Article
- Prediction of cognitive performance differences in older age from multimodal neuroimaging data.GeroScience · 2024Article
- Interrelating differences in structural and functional connectivity in the older adult's brain.Human brain mapping · 2022Article
- Cognitive flexibility and brain network energy in healthy aging: An allostatic perspective from the SENECA model.Imaging neuroscience (Cambridge, Mass.)Article
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In the normal aging process, the functional connectome restructures and shows a shift from more segregated to more integrated brain networks, which manifests itself in highly different cognitive performances in older adults. Underpinnings of this reorganization are not fully understood, but may be related to age-related differences in structural connectivity, the underlying scaffold for information exchange between regions. The structure-function relationship might be a promising factor to understand the neurobiological sources of interindividual cognitive variability, but remain unclear in older adults. Here, we used diffusion weighted and resting-state functional magnetic resonance imaging as well as cognitive performance data of 573 older subjects from the 1000BRAINS cohort (55-85 years, 287 males) and performed a partial least square regression on 400 regional functional and structural connectivity (FC and SC, respectively) estimates comprising seven resting-state networks. Our aim was to identify FC and SC patterns that are, together with cognitive performance, characteristic of the older adults aging process. Results revealed three different aging profiles prevalent in older adults. FC was found to behave differently depending on the severity of age-related SC deteriorations. A functionally highly interconnected system is associated with a structural connectome that shows only minor age-related decreases. Because this connectivity profile was associated with the most severe age-related cognitive decline, a more interconnected FC system in older adults points to a process of dedifferentiation. Thus, functional network integration appears to increase primarily when SC begins to decline, but this does not appear to mitigate the decline in cognitive performance.
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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.