A REVIEW ON AUTISM SPECTRUM DISORDER DIAGNOSIS USING TASK-BASED FUNCTIONAL MRI
Haweel, R., AbdElSabour Seada, N., Ghoniemy, S., ElBaz, A. (2021). A REVIEW ON AUTISM SPECTRUM DISORDER DIAGNOSIS USING TASK-BASED FUNCTIONAL MRI. EKB Journal Management System, 21(2), 23-40. doi: 10.21608/ijicis.2021.75525.1090
Reem Haweel; Noha AbdElSabour Seada; Said Ghoniemy; Ayman ElBaz. "A REVIEW ON AUTISM SPECTRUM DISORDER DIAGNOSIS USING TASK-BASED FUNCTIONAL MRI". EKB Journal Management System, 21, 2, 2021, 23-40. doi: 10.21608/ijicis.2021.75525.1090
Haweel, R., AbdElSabour Seada, N., Ghoniemy, S., ElBaz, A. (2021). 'A REVIEW ON AUTISM SPECTRUM DISORDER DIAGNOSIS USING TASK-BASED FUNCTIONAL MRI', EKB Journal Management System, 21(2), pp. 23-40. doi: 10.21608/ijicis.2021.75525.1090
Haweel, R., AbdElSabour Seada, N., Ghoniemy, S., ElBaz, A. A REVIEW ON AUTISM SPECTRUM DISORDER DIAGNOSIS USING TASK-BASED FUNCTIONAL MRI. EKB Journal Management System, 2021; 21(2): 23-40. doi: 10.21608/ijicis.2021.75525.1090

A REVIEW ON AUTISM SPECTRUM DISORDER DIAGNOSIS USING TASK-BASED FUNCTIONAL MRI

International Journal of Intelligent Computing and Information Sciences
Article 2, Volume 21, Issue 2, July 2021, Page 23-40  XML PDF (1.14 MB)
Document Type: Original Article
DOI: 10.21608/ijicis.2021.75525.1090
View on SCiNiTO View on SCiNiTO
Authors
Reem Haweel email 1; Noha AbdElSabour Seada2; Said Ghoniemyorcid 3; Ayman ElBaz4
1Computer Systems Department, Faculty of Computers and Information Sciences, Ain Shams University
2Lecturer at Faculty of Computer and Information Sciences, Computer Systems Department, Ain Shams University, Cairo , Egypt.
3Prof at Faculty of Computer and Information Sciences, Computer Systems Department, Ain Shams University, Cairo , Egypt.
4Chair of Bioengineering Department, Speed School, University of Louisville, USA
Abstract
Autism spectrum disorder (ASD) is a neurodevelopmental disorder associated with impairments in social and lingual abilities. The current gold standard for diagnosing is the autism diagnostic observation schedule (ADOS) plus expert clinical judgement. The actual cause for autism is still unknown. Early ASD diagnosis is critical for conducting personalized treatment plans and can lead to significant development enhancements. Machine learning techniques, specially deep learning, have been widely incorporated in attempts to develop objective computer-aided technologies to diagnose autism with brain imaging modalities. Task-based functional magnetic resonance imaging (TfMRI) is a brain imaging modality that reveals functional activity of the brain in response to different experiments to study the effects of a brain disease or disorder. This study provides a comprehensive review on researches that deploy traditional machine learning and deep learning techniques in diagnosing ASD based on TfMRI. Classification results manifest that TfMRI holds early autism biomarkers and suggest future research to establish multi-modal studies that integrate TfMRI with structural, functional, clinical and gnomic data with higher number of participating subjects.
Keywords
Autism; task-based fMRI; computer aided diagnosis systems; machine learning; deep learning
Statistics
Article View: 772
PDF Download: 761