Study on Time-varying Brain State Based on fMRI Data—A Review
Functional magnetic resonance imaging(fMRI)has been widely applied in the study of human brain activity.Recently,the use of brain states to investigate brain dynamics has attracted extensive attention from researchers.Previous reviews on brain states typically compare and summarize from the perspective of state definition methods,neglecting the inconsistency in under-lying data formats,which may results in diverse interpretations of brain states.Furthermore,these reviews also lack discussions on the analytical approaches for brain states.Here,we review various methods for defining brain states based on different data formats,provide an overview of different approaches for analyzing brain dynamics based on brain states,and summarize typical re-search methods in the application of brain states to cognition,psychiatric disorders,physiological states,and other aspects.Fina-lly,we find similarities between the definition of brain meta-states and feature extraction in deep learning.Therefore,we believe that deep learning is a promising approach for studying brain states.
NETL
NSTL
万方数据
