Brain Connectivity Analysis of Functional Magnetic Resonance Data for Story Comprehension in Children Using Group Independent Component Analysis and Structural Equation Modeling
Year: 2007
Type: article
Study design: Observational Study
Abstract: Structural Equation Modeling (SEM) is combined with Group IndependentComponent Analysis (ICA) to investigate the developmental trends in brain connectivity coefficients associated with the human language circuitry.A group of 313 children with ages 5-18 years was subjected to a large-scale functional magnetic resonance imaging (fMRI) study to investigate the age-related connectivity changes in brain activity triggered by the narrative language comprehension circuitry.In the developing brain, age-related differences in brain connectivity may either reflect local neuroplasticity changes or a more global transformation of brain activity related to neuroplasticity.The age-related differences were examined in terms of changes in path coefficients between brain regions.The components of the proposed SEM for narrative comprehension were based on five bilateral task-related cognitive modules identified by the group ICA (Schmithorst, V.J., Holland, S.K, et al., 2005.Cognitive modules utilized for narrative comprehension in children: a functional magnetic resonance imaging study.NeuroImage).The SEM is an extended version of the classical Wernicke-Geschwind (WG) model for speech processing involving two-routes: (1) a direct route between Broca's and Wernicke's area.(2) an indirect route involving the parietal lobe. Dedicated to my parets
Author: Prasanna Karunanayaka
Institution: University of Cincinnati
Language: English
Subfield: Cognitive Neuroscience
Field: Neuroscience
Domain: Life Sciences
Open Access status: green
OpenAlex ID: W2226660557