A Functional Data Method for Causal Dynamic Network Modeling of Task-Related fMRI

• Published in: Frontiers in neuroscience Vol. 13; p. 127
• Main Authors: Cao, Xuefei, Sandstede, Björn, Luo, Xi
• Format: Journal Article
• Language: English
• Published: Switzerland Frontiers Research Foundation 27.02.2019; Frontiers Media S.A
• Subjects: Brain; brain connectivity; Brain mapping; Computational neuroscience; Data analysis; dynamic data analysis; Functional magnetic resonance imaging; Investigations; Methods; Neural networks; Neuroscience; Noise; optimization; ordinary differential equations; Parameter estimation; task-related fMRI; Time series; United States > US; brain connectivity; ordinary differential equations; optimization; task-related fMRI; dynamic data analysis

Functional MRI (fMRI) is a popular approach to investigate brain connections and activations when human subjects perform tasks. Because fMRI measures the indirect and convoluted signals of brain activities at a lower temporal resolution, complex differential equation modeling methods (e.g., Dynamic...