ArticleCommunications biology2024
Age-related differences in network controllability are mitigated by redundancy in large-scale brain networks.
Article in Communications biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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13 citing papers in PubMed.
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- Working Memory as a Candidate Mechanism Linking Aging and the Sense of Agency: A Narrative Review.Brain sciences · 2026Review
- Association between processing speed and segregation/integration of large-scale functional networks in middle-aged and older people living with HIV.BMC neurology · 2026Article
- A complex network perspective on brain disease.Biological reviews of the Cambridge Philosophical Society · 2026Review
- Spatially convergent functional MRI signatures of diabetes and male sex identify genetic vulnerabilities to accelerated brain ageing.Brain communications · 2026Article
- Network control theory uncovers aberrant connectome controllability in trigeminal neuralgia.The journal of headache and pain · 2025Article
- Differential brain activation and network connectivity in social interactions presence and absence of physical contact.Communications biology · 2025Article
- Functional redundancy of the posterior hippocampi is selectively disrupted in non-demented older adults withNeuroimage. Reports · 2025Article
- Network Structure of Depression and Anxiety Symptoms in Older Asian Patients With Depressive Disorders: Findings From REAP-AD3.Psychiatry investigation · 2025Article
- Dopamine alters functional gradients in Parkinson's disease.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Cognitive flexibility and brain network energy in healthy aging: An allostatic perspective from the SENECA model.Imaging neuroscience (Cambridge, Mass.)Article
- Metabolic syndrome severity and the energetic cost of brain network transitions: A normative modeling study of accelerated brain aging.Imaging neuroscience (Cambridge, Mass.)Article
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Abstract
The aging brain undergoes major changes in its topology. The mechanisms by which the brain mitigates age-associated changes in topology to maintain robust control of brain networks are unknown. Here we use diffusion MRI data from cognitively intact participants (n = 480, ages 40-90) to study age-associated differences in the average controllability of structural brain networks, topological features that could mitigate these differences, and the overall effect on cognitive function. We find age-associated declines in average controllability in control hubs and large-scale networks, particularly within the frontoparietal control and default mode networks. Further, we find that redundancy, a hypothesized mechanism of reserve, quantified via the assessment of multi-step paths within networks, mitigates the effects of topological differences on average network controllability. Lastly, we discover that average network controllability, redundancy, and grey matter volume, each uniquely contribute to predictive models of cognitive function. In sum, our results highlight the importance of redundancy for robust control of brain networks and in cognitive function in healthy-aging.
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