Brain parcellation driven by dynamic functional connectivity better capture intrinsic network dynamics

Brain parcellation driven by dynamic functional connectivity better capture intrinsic network dynamics

Until now, dynamic functional connectivity (dFC) based on functional magnetic resonance imaging is typically estimated on a set of predefined regions of interest (ROIs) derived from an anatomical or static functional atlas which follows an implicit assumption of functional homogeneity within ROIs un...

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Bibliographic Details
Main Authors: Fan, L. (Author), Hu, D. (Author), Li, N. (Author), Qin, J. (Author), Shen, H. (Author), Su, J. (Author), Zeng, L.-L (Author), Zhong, Q. (Author)
Format: Article
Language:English
Published: John Wiley and Sons Inc 2021
Subjects:
adult
Adult
article
Atlases as Topic
attention
book
brain cortex
brain network
cerebellum
Cerebellum
Cerebral Cortex
connectome
Connectome
default mode network
Default Mode Network
diagnostic imaging
dynamic functional connectivity
functional connectivity
functional connectivity degree
functional magnetic resonance imaging
human
human experiment
Humans
image processing
Image Processing, Computer-Assisted
independent component analysis
intelligence
intrinsic connectivity network
Magnetic Resonance Imaging
nerve cell network
Nerve Net
neuroscience
nuclear magnetic resonance imaging
physiology
procedures
resting-state fMRI
support vector machine
Support Vector Machine
time factor
Time Factors
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