Deakin University
Browse
abdar-automateddetectionofautism-2020.pdf (1.5 MB)

Automated Detection of Autism Spectrum Disorder Using a Convolutional Neural Network

Download (1.5 MB)
Version 2 2024-06-05, 12:05
Version 1 2020-06-01, 12:55
journal contribution
posted on 2024-06-05, 12:05 authored by Z Sherkatghanad, M Akhondzadeh, S Salari, M Zomorodi-Moghadam, M Abdar, UR Acharya, R Khosrowabadi, V Salari
© Copyright © 2020 Sherkatghanad, Akhondzadeh, Salari, Zomorodi-Moghadam, Abdar, Acharya, Khosrowabadi and Salari. 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.

History

Journal

Frontiers in Neuroscience

Volume

13

Article number

1325

Pagination

1-12

Location

Lausanne, Switzerland

Open access

  • Yes

ISSN

1662-4548

eISSN

1662-453X

Language

eng

Publication classification

C1 Refereed article in a scholarly journal

Publisher

Frontiers Media

Usage metrics

    Research Publications

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC