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Age-related differences in network controllability are mitigated by redundancy in large-scale brain networks.
Stanford, William; Mucha, Peter J; Dayan, Eran.
Afiliación
  • Stanford W; Biological and Biomedical Sciences Program, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
  • Mucha PJ; Department of Mathematics, Dartmouth College, Hanover, NH, USA.
  • Dayan E; Department of Radiology and Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA. eran_dayan@med.unc.edu.
Commun Biol ; 7(1): 701, 2024 Jun 07.
Article en En | MEDLINE | ID: mdl-38849512
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.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Encéfalo / Envejecimiento / Cognición / Red Nerviosa Límite: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Revista: Commun Biol Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Encéfalo / Envejecimiento / Cognición / Red Nerviosa Límite: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Revista: Commun Biol Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido