Brain Networks and Intelligence: A Graph Neural Network Based Approach to Resting State fMRI Data

arXiv:2311.03520v2 Announce Type: replace
Abstract: Resting-state functional magnetic resonance imaging (rsfMRI) is a powerful tool for investigating the relationship between brain function and cognitive processes as it allows for the functional organization of the brain to be captured without relying on a specific task or stimuli. In this paper, we present a novel modeling architecture called BrainRGIN for predicting intelligence (fluid, crystallized, and total intelligence) using graph neural networks on rsfMRI derived static functional network connectivity matrices. Extending from the …

abstract arxiv brain cognitive cs.ai cs.lg data fmri function functional graph graph neural network imaging intelligence network networks neural network organization processes q-bio.nc relationship state tool type