The delineation of the functional connectivity pattern during resting state has revolutionized our understanding of the brain’s intrinsic functional organization. However, the brain’s functional interaction is dynamic at all measurable levels-from the information flow among individual neurons to the functional connectivity of large brain systems. Therefore, better understanding of the dynamics of the brain’s functional connectivity pattern under different behavioral states, beyond the widely studied resting state, would be critical to delineate the brain’s normal working mechanism and inform potential treatment strategies for different brain disorders. The focus of this Research Topic will be on the most recent developments and findings that investigate the brain’s functional connectivity patterns and changes under different task states in both normal and abnormal populations in order to increase our knowledge on the brain’s normal and abnormal working/transition mechanisms from a dynamic connectivity perspective. Potential topics include, but are not limited to: 1) functional connectivity assessment across different brain states (including but beyond resting state) using one or more (i.e., multi-modal) non-invasive monitoring techniques such as electroencephalography (EEG), magnetoencephalography (MEG), near infra-red spectroscopy (NIRS), and functional magnetic resonance imaging (fMRI), (preferred with online behavior performance monitoring and connectivity-behavior relationship explorations), 2) novel or consolidated analytical methods and models for the quantification and interpretation of the brain’s dynamic connectivity patterns across different behavioral states, 3) atypical dynamics of the brain’s connectivity profile in diseased populations.
Researchers, technicians and clinicians engaged in functional connectivity study of the brain’s working mechanisms within the scope of this Research Topic are warmly welcomed to contribute an original article, clinical case study, technical and methodological reports, review article to this Research Topic.
The delineation of the functional connectivity pattern during resting state has revolutionized our understanding of the brain’s intrinsic functional organization. However, the brain’s functional interaction is dynamic at all measurable levels-from the information flow among individual neurons to the functional connectivity of large brain systems. Therefore, better understanding of the dynamics of the brain’s functional connectivity pattern under different behavioral states, beyond the widely studied resting state, would be critical to delineate the brain’s normal working mechanism and inform potential treatment strategies for different brain disorders. The focus of this Research Topic will be on the most recent developments and findings that investigate the brain’s functional connectivity patterns and changes under different task states in both normal and abnormal populations in order to increase our knowledge on the brain’s normal and abnormal working/transition mechanisms from a dynamic connectivity perspective. Potential topics include, but are not limited to: 1) functional connectivity assessment across different brain states (including but beyond resting state) using one or more (i.e., multi-modal) non-invasive monitoring techniques such as electroencephalography (EEG), magnetoencephalography (MEG), near infra-red spectroscopy (NIRS), and functional magnetic resonance imaging (fMRI), (preferred with online behavior performance monitoring and connectivity-behavior relationship explorations), 2) novel or consolidated analytical methods and models for the quantification and interpretation of the brain’s dynamic connectivity patterns across different behavioral states, 3) atypical dynamics of the brain’s connectivity profile in diseased populations.
Researchers, technicians and clinicians engaged in functional connectivity study of the brain’s working mechanisms within the scope of this Research Topic are warmly welcomed to contribute an original article, clinical case study, technical and methodological reports, review article to this Research Topic.
