| Literature DB >> 31744324 |
Ashkan Faghiri1,2, Julia M Stephen1, Yu-Ping Wang3,4, Tony W Wilson5,6, Vince D Calhoun1,2.
Abstract
Studies of brain structure have shown that the cortex matures in both a linear and nonlinear manner depending on the time window and specific region studied. In addition, it has been shown that socioeconomic status can impact brain development throughout childhood. However, very few studies have evaluated these patterns using functional measures. To this end, in this study we used cross-sectional resting-state functional magnetic resonance imaging data of 368 subjects, age 3-21 years, to examine the linear and nonlinear development of brain connectivity. We employed a clustering approach to characterize these developmental patterns into different linear and nonlinear groups. Our results showed that functional brain development exhibits multiple types of linear and nonlinear patterns, and assuming that brain connectivity values reach a stable state after a specific age might be misleading.Keywords: ICA; brain connectivity; fMRI; maturation; nonlinear development; resting state
Mesh:
Year: 2019 PMID: 31744324 PMCID: PMC6919262 DOI: 10.1089/brain.2018.0641
Source DB: PubMed Journal: Brain Connect ISSN: 2158-0014