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Functional network connectivity (FNC) is a useful measure for evaluating the temporal dependency among brain networks. Longitudinal changes of intrinsic function are of great interest, but to date there has been little focus on multivariate patterns of FNC changes with development. In this paper, we proposed a novel approach that uses FNC matrices to estimate multiple overlapping brain functional change patterns (FCPs). We applied this approach to the large-scale Adolescent Brain and Cognitive Development (ABCD) data. Results reveal several highly structured FCPs showing a significant change over a two-year period including brain functional connectivity between visual (VS) and sensorimotor (SM) domains. This pattern of FNC expression becomes stronger with age. We also found a differential pattern of changes between male and female individuals. Our approach provides a powerful way to evaluate whole brain functional changes in longitudinal data.
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Whole brain functional patterns of change in adolescents
There is a growing research interest to extract the temporal dependency between brain networks. Among several existing methods, functional network connectivity (FNC) is one of the widely used approaches to capture the intrinsic functional relationships among brain networks. In this study, we introduced a novel approach that uses FNC matrices of Adolescent Brain and Cognitive Development (ABCD) data to evaluate multiple overlapping brain functional change patterns (FCPs). Results show several highly structured FCPs that have a significant change over a two-year period and become stronger with age including brain functional connectivity between visual (VS) and sensorimotor (SM) domains. Our approach is a powerful tool to visualize and evaluate patterns of whole brain functional changes in longitudinal data.
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- Award ID(s):
- 2112455
- PAR ID:
- 10332743
- Date Published:
- Journal Name:
- The Organization for Human Brain Mapping (OHBM)
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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