Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/162138
Title: Age-specificity and generalization of behavior-associated structural and functional networks and their relevance to behavioral domains
Authors: Yu, Junhong 
Fischer, Nastassja Lopes
Keywords: Social sciences::Psychology
Issue Date: 2022
Source: Yu, J. & Fischer, N. L. (2022). Age-specificity and generalization of behavior-associated structural and functional networks and their relevance to behavioral domains. Human Brain Mapping, 43(8), 2405-2418. https://dx.doi.org/10.1002/hbm.25759
Project: 021080-00001
Journal: Human Brain Mapping
Abstract: Behavior-associated structural connectivity (SC) and resting-state functional connectivity (rsFC) networks undergo various changes in aging. To study these changes, we proposed a continuous dimension where at one end networks generalize well across age groups in terms of behavioral predictions (age-general) and at the other end, they predict behaviors well in a specific age group but fare poorly in another age group (age-specific). We examined how age generalizability/specificity of multimodal behavioral associated brain networks varies across behavioral domains and imaging modalities. Prediction models consisting of SC and/or rsFC networks were trained to predict a diverse range of 75 behavioral outcomes in a young adult sample (N = 92). These models were then used to predict behavioral outcomes in unseen young (N = 60) and old (N = 60) subjects. As expected, behavioral prediction models derived from the young age group, produced more accurate predictions in the unseen young than old subjects. These behavioral predictions also differed significantly across behavioral domains, but not imaging modalities. Networks associated with cognitive functions, except for a few mostly relating to semantic knowledge, fell toward the age-specific end of the spectrum (i.e., poor young-to-old generalizability). These findings suggest behavior-associated brain networks are malleable to different degrees in aging; such malleability is partly determined by the nature of the behavior.
URI: https://hdl.handle.net/10356/162138
ISSN: 1065-9471
DOI: 10.1002/hbm.25759
Rights: © 2022 The Authors. Human Brain Mapping published by Wiley Periodicals LLC. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivsLicense, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:SSS Journal Articles

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