From descriptive connectome to mechanistic connectome: Generative modeling in functional magnetic resonance imaging analysis

• Published in: Frontiers in human neuroscience Vol. 16; p. 940842
• Main Authors: Li, Guoshi, Yap, Pew-Thian
• Format: Journal Article
• Language: English
• Published: Switzerland Frontiers Research Foundation 17.08.2022; Frontiers Media S.A
• Subjects: biophysical network model; Brain; Brain mapping; brain network; Cognitive ability; computational modeling; Dynamic Neural Model; dynamical causal model; Functional magnetic resonance imaging; Human Neuroscience; Magnetic resonance imaging; Medical imaging; Mental disorders; Nervous system; neural mass model; Neural networks; Neuroimaging; Neurological diseases; Neurosciences; Optimization; Parameter estimation; Structure-function relationships; fMRI; dynamical causal model; neural mass model; connectome; Dynamic Neural Model; computational modeling; brain network; biophysical network model

As a newly emerging field, connectomics has greatly advanced our understanding of the wiring diagram and organizational features of the human brain. Generative modeling-based connectome analysis, in particular, plays a vital role in deciphering the neural mechanisms of cognitive functions in health...