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Few Temporally Distributed Brain Connectivity States Predict Human Cognitive Abilities

Maren H. WehrheimJoshua FaskowitzOlaf SpornsChristian FiebachMatthias KaschubeKirsten Hilger

出版	2023
URL	http://books.google.com.hk/books?id=-sk20AEACAAJ&hl=&source=gbs_api

註釋

Human functional brain connectivity can be temporally decomposed into states of high and low cofluctuation, defined as coactivation of brain regions over time. Rare states of particularly high cofluctuation have been shown to reflect fundamentals of intrinsic functional network architecture and to be highly subject-specific. However, it is unclear whether such network-defining states also contribute to individual variations in cognitive abilities - which strongly rely on the interactions among distributed brain regions. By introducing CMEP, a new eigenvector-based prediction framework, we show that as few as 16 temporally separated time frames (