Automatic autism spectrum disorder detection using artificial intelligence methods with MRI neuroimaging: A review
<div><p>Autism spectrum disorder (ASD) is a brain condition characterized by diverse signs and symptoms that appear in early childhood. ASD is also associated with communication deficits and repetitive behavior in affected individuals. Various ASD detection methods have been developed, i...
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2022
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| _version_ | 1864513517947715584 |
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| author | Parisa Moridian (13901997) |
| author2 | Navid Ghassemi (13902000) Mahboobeh Jafari (13902003) Salam Salloum-Asfar (656363) Delaram Sadeghi (13902006) Marjane Khodatars (13902009) Afshin Shoeibi (13349163) Abbas Khosravi (714566) Sai Ho Ling (13309308) Abdulhamit Subasi (13902012) Roohallah Alizadehsani (6445298) Juan M. Gorriz (8625735) Sara A. Abdulla (13902015) U. Rajendra Acharya (5909246) |
| author2_role | author author author author author author author author author author author author author |
| author_facet | Parisa Moridian (13901997) Navid Ghassemi (13902000) Mahboobeh Jafari (13902003) Salam Salloum-Asfar (656363) Delaram Sadeghi (13902006) Marjane Khodatars (13902009) Afshin Shoeibi (13349163) Abbas Khosravi (714566) Sai Ho Ling (13309308) Abdulhamit Subasi (13902012) Roohallah Alizadehsani (6445298) Juan M. Gorriz (8625735) Sara A. Abdulla (13902015) U. Rajendra Acharya (5909246) |
| author_role | author |
| dc.creator.none.fl_str_mv | Parisa Moridian (13901997) Navid Ghassemi (13902000) Mahboobeh Jafari (13902003) Salam Salloum-Asfar (656363) Delaram Sadeghi (13902006) Marjane Khodatars (13902009) Afshin Shoeibi (13349163) Abbas Khosravi (714566) Sai Ho Ling (13309308) Abdulhamit Subasi (13902012) Roohallah Alizadehsani (6445298) Juan M. Gorriz (8625735) Sara A. Abdulla (13902015) U. Rajendra Acharya (5909246) |
| dc.date.none.fl_str_mv | 2022-10-04T03:00:00Z |
| dc.identifier.none.fl_str_mv | 10.3389/fnmol.2022.999605 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/journal_contribution/Automatic_autism_spectrum_disorder_detection_using_artificial_intelligence_methods_with_MRI_neuroimaging_A_review/25688766 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Biomedical and clinical sciences Neurosciences Information and computing sciences Artificial intelligence ASD diagnosis neuroimaging MRI modalities machine learning deep learning |
| dc.title.none.fl_str_mv | Automatic autism spectrum disorder detection using artificial intelligence methods with MRI neuroimaging: A review |
| dc.type.none.fl_str_mv | Text Journal contribution info:eu-repo/semantics/publishedVersion text contribution to journal |
| description | <div><p>Autism spectrum disorder (ASD) is a brain condition characterized by diverse signs and symptoms that appear in early childhood. ASD is also associated with communication deficits and repetitive behavior in affected individuals. Various ASD detection methods have been developed, including neuroimaging modalities and psychological tests. Among these methods, magnetic resonance imaging (MRI) imaging modalities are of paramount importance to physicians. Clinicians rely on MRI modalities to diagnose ASD accurately. The MRI modalities are non-invasive methods that include functional (fMRI) and structural (sMRI) neuroimaging methods. However, diagnosing ASD with fMRI and sMRI for specialists is often laborious and time-consuming; therefore, several computer-aided design systems (CADS) based on artificial intelligence (AI) have been developed to assist specialist physicians. Conventional machine learning (ML) and deep learning (DL) are the most popular schemes of AI used for diagnosing ASD. This study aims to review the automated detection of ASD using AI. We review several CADS that have been developed using ML techniques for the automated diagnosis of ASD using MRI modalities. There has been very limited work on the use of DL techniques to develop automated diagnostic models for ASD. A summary of the studies developed using DL is provided in the Supplementary Appendix. Then, the challenges encountered during the automated diagnosis of ASD using MRI and AI techniques are described in detail. Additionally, a graphical comparison of studies using ML and DL to diagnose ASD automatically is discussed. We suggest future approaches to detecting ASDs using AI techniques and MRI neuroimaging.</p><p> </p></div><h2>Other Information</h2> <p> Published in: Frontiers in Molecular Neuroscience<br> License: <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.3389/fnmol.2022.999605" target="_blank">https://dx.doi.org/10.3389/fnmol.2022.999605</a></p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_18a2c8d9a094f5e1e6c842877a763012 |
| identifier_str_mv | 10.3389/fnmol.2022.999605 |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/25688766 |
| publishDate | 2022 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Automatic autism spectrum disorder detection using artificial intelligence methods with MRI neuroimaging: A reviewParisa Moridian (13901997)Navid Ghassemi (13902000)Mahboobeh Jafari (13902003)Salam Salloum-Asfar (656363)Delaram Sadeghi (13902006)Marjane Khodatars (13902009)Afshin Shoeibi (13349163)Abbas Khosravi (714566)Sai Ho Ling (13309308)Abdulhamit Subasi (13902012)Roohallah Alizadehsani (6445298)Juan M. Gorriz (8625735)Sara A. Abdulla (13902015)U. Rajendra Acharya (5909246)Biomedical and clinical sciencesNeurosciencesInformation and computing sciencesArtificial intelligenceASD diagnosisneuroimagingMRI modalitiesmachine learningdeep learning<div><p>Autism spectrum disorder (ASD) is a brain condition characterized by diverse signs and symptoms that appear in early childhood. ASD is also associated with communication deficits and repetitive behavior in affected individuals. Various ASD detection methods have been developed, including neuroimaging modalities and psychological tests. Among these methods, magnetic resonance imaging (MRI) imaging modalities are of paramount importance to physicians. Clinicians rely on MRI modalities to diagnose ASD accurately. The MRI modalities are non-invasive methods that include functional (fMRI) and structural (sMRI) neuroimaging methods. However, diagnosing ASD with fMRI and sMRI for specialists is often laborious and time-consuming; therefore, several computer-aided design systems (CADS) based on artificial intelligence (AI) have been developed to assist specialist physicians. Conventional machine learning (ML) and deep learning (DL) are the most popular schemes of AI used for diagnosing ASD. This study aims to review the automated detection of ASD using AI. We review several CADS that have been developed using ML techniques for the automated diagnosis of ASD using MRI modalities. There has been very limited work on the use of DL techniques to develop automated diagnostic models for ASD. A summary of the studies developed using DL is provided in the Supplementary Appendix. Then, the challenges encountered during the automated diagnosis of ASD using MRI and AI techniques are described in detail. Additionally, a graphical comparison of studies using ML and DL to diagnose ASD automatically is discussed. We suggest future approaches to detecting ASDs using AI techniques and MRI neuroimaging.</p><p> </p></div><h2>Other Information</h2> <p> Published in: Frontiers in Molecular Neuroscience<br> License: <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.3389/fnmol.2022.999605" target="_blank">https://dx.doi.org/10.3389/fnmol.2022.999605</a></p>2022-10-04T03:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.3389/fnmol.2022.999605https://figshare.com/articles/journal_contribution/Automatic_autism_spectrum_disorder_detection_using_artificial_intelligence_methods_with_MRI_neuroimaging_A_review/25688766CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/256887662022-10-04T03:00:00Z |
| spellingShingle | Automatic autism spectrum disorder detection using artificial intelligence methods with MRI neuroimaging: A review Parisa Moridian (13901997) Biomedical and clinical sciences Neurosciences Information and computing sciences Artificial intelligence ASD diagnosis neuroimaging MRI modalities machine learning deep learning |
| status_str | publishedVersion |
| title | Automatic autism spectrum disorder detection using artificial intelligence methods with MRI neuroimaging: A review |
| title_full | Automatic autism spectrum disorder detection using artificial intelligence methods with MRI neuroimaging: A review |
| title_fullStr | Automatic autism spectrum disorder detection using artificial intelligence methods with MRI neuroimaging: A review |
| title_full_unstemmed | Automatic autism spectrum disorder detection using artificial intelligence methods with MRI neuroimaging: A review |
| title_short | Automatic autism spectrum disorder detection using artificial intelligence methods with MRI neuroimaging: A review |
| title_sort | Automatic autism spectrum disorder detection using artificial intelligence methods with MRI neuroimaging: A review |
| topic | Biomedical and clinical sciences Neurosciences Information and computing sciences Artificial intelligence ASD diagnosis neuroimaging MRI modalities machine learning deep learning |