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...

ver descrição completa

Detalhes bibliográficos

Principais autores:	Pegah Navaei, Ali Khadem, Effat Jalaeian Zaferani
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Tehran University of Medical Sciences 2025-10-01
coleção:	Frontiers in Biomedical Technologies
Assuntos:	Autism Spectrum Disorder Resting-State functional Magnetic Resonance Imaging Functional and Effective Brain Connectivity Pearson Correlation Coefficient Granger Causality Stacked Autoencoder
Acesso em linha:	https://fbt.tums.ac.ir/index.php/fbt/article/view/919
Tags:	Adicionar Tag Sem tags, seja o primeiro a adicionar uma tag!