A fusion analytic framework for investigating functional brain connectivity differences using resting-state fMRI

A fusion analytic framework for investigating functional brain connectivity differences using resting-state fMRI

IntroductionFunctional magnetic resonance imaging (fMRI) data is highly complex and high-dimensional, capturing signals from regions of interest (ROIs) with intricate correlations. Analyzing such data is particularly challenging, especially in resting-state fMRI, where patterns are less identifiable...

Full description

Saved in:
Bibliographic Details
Main Authors: Yeseul Jeon, Jeong-Jae Kim, SuMin Yu, Junggu Choi, Sanghoon Han
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-12-01
Series:Frontiers in Neuroscience
Subjects:
fMRI
ADNI
functional connectivity network
deep learning
Latent Space Item-Response Model
Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2024.1402657/full
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items