Frontiers in Neuroscience, Volume (13), Year (2020-1)

Title : ( Automated Detection of Autism Spectrum Disorder Using a Convolutional Neural Network )

Authors: Zeinab Sherkatghanad , Mohammadsadegh Akhondzadeh , Soorena Salari , Mariam Zomorodi-Moghadam , Moloud Abdar , U. Rajendra Acharya , Reza Khosrowabadi , Vahid Salari ,

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Abstract

Background: Convolutional neural networks (CNN) have enabled significant progress in speech recognition, image classification, automotive software engineering, and neuroscience. This impressive progress is largely due to a combination of algorithmic breakthroughs, computation resource improvements, and access to a large amount of data. Method: In this paper, we focus on the automated detection of autism spectrum disorder (ASD) using CNN with a brain imaging dataset.We detected ASD patients using most common resting-state functional magnetic resonance imaging (fMRI) data from a multi-site dataset named the Autism Brain Imaging Exchange (ABIDE). The proposed approach was able to classify ASD and control subjects based on the patterns of functional connectivity. Results: Our experimental outcomes indicate that the proposed model is able to detect ASD correctly with an accuracy of 70.22% using the ABIDE I dataset and the CC400 functional parcellation atlas of the brain. Also, the CNN model developed used fewer parameters than the state-of-art techniques and is hence computationally less intensive. Our developed model is ready to be tested with more data and can be used to prescreen ASD patients.

Keywords

, convolutional neural networks, autism spectrum disorder, ABIDE, fMRI, atlas
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@article{paperid:1078582,
author = {Zeinab Sherkatghanad and Mohammadsadegh Akhondzadeh and Soorena Salari and Zomorodi-Moghadam, Mariam and Moloud Abdar and U. Rajendra Acharya and Reza Khosrowabadi and Vahid Salari},
title = {Automated Detection of Autism Spectrum Disorder Using a Convolutional Neural Network},
journal = {Frontiers in Neuroscience},
year = {2020},
volume = {13},
month = {January},
issn = {1662-453X},
keywords = {convolutional neural networks; autism spectrum disorder; ABIDE; fMRI; atlas},
}

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%0 Journal Article
%T Automated Detection of Autism Spectrum Disorder Using a Convolutional Neural Network
%A Zeinab Sherkatghanad
%A Mohammadsadegh Akhondzadeh
%A Soorena Salari
%A Zomorodi-Moghadam, Mariam
%A Moloud Abdar
%A U. Rajendra Acharya
%A Reza Khosrowabadi
%A Vahid Salari
%J Frontiers in Neuroscience
%@ 1662-453X
%D 2020

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