Comparing Functional and Effective Connectivity Features in Diagnosis of Autism Spectrum Disorder Using Stacked Autoencoder by Resting-State fMRI Data

Purpose: The objective of this paper is to study the feasibility of using effective connectivity (Granger Causality) (GC) obtained from resting-state functional Magnetic Resonance Imaging (rs-fMRI) data and stacked autoencoder for diagnosing Autism Spectrum Disorder (ASD) and comparing the results w...

Full description

Saved in:

Bibliographic Details
Published in:	Frontiers in biomedical technologies Vol. 12; no. 4
Main Authors:	Navaei, Pegah, Khadem, Ali, Zaferani, Effat Jalaeian
Format:	Journal Article
Language:	English
Published:	Tehran University of Medical Sciences 04.10.2025
Subjects:	Autism Spectrum Disorder Functional and Effective Brain Connectivity Granger Causality Pearson Correlation Coefficient Resting-State functional Magnetic Resonance Imaging Stacked Autoencoder
ISSN:	2345-5837, 2345-5837
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!