Literature DB >> 33551784

Machine Learning Methods for Diagnosing Autism Spectrum Disorder and Attention- Deficit/Hyperactivity Disorder Using Functional and Structural MRI: A Survey.

Taban Eslami1, Fahad Almuqhim2, Joseph S Raiker3, Fahad Saeed2.   

Abstract

Here we summarize recent progress in machine learning model for diagnosis of Autism Spectrum Disorder (ASD) and Attention-deficit/Hyperactivity Disorder (ADHD). We outline and describe the machine-learning, especially deep-learning, techniques that are suitable for addressing research questions in this domain, pitfalls of the available methods, as well as future directions for the field. We envision a future where the diagnosis of ASD, ADHD, and other mental disorders is accomplished, and quantified using imaging techniques, such as MRI, and machine-learning models.
Copyright © 2021 Eslami, Almuqhim, Raiker and Saeed.

Entities:  

Keywords:  Attention Deficit and Hyperactivity Disorder (ADHD) classification; Autism Spectrum Disorder (ASD) classification; deep learning; diagnosis; fMRI; machine learning; sMRI; survey

Year:  2021        PMID: 33551784      PMCID: PMC7855595          DOI: 10.3389/fninf.2020.575999

Source DB:  PubMed          Journal:  Front Neuroinform        ISSN: 1662-5196            Impact factor:   4.081


  120 in total

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Journal:  Pediatrics       Date:  2019-10       Impact factor: 7.124

2.  Accuracy of Achenbach Scales in the Screening of Attention-Deficit/Hyperactivity Disorder in a Community Mental Health Clinic.

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Authors:  Krzysztof J Gorgolewski; Tibor Auer; Vince D Calhoun; R Cameron Craddock; Samir Das; Eugene P Duff; Guillaume Flandin; Satrajit S Ghosh; Tristan Glatard; Yaroslav O Halchenko; Daniel A Handwerker; Michael Hanke; David Keator; Xiangrui Li; Zachary Michael; Camille Maumet; B Nolan Nichols; Thomas E Nichols; John Pellman; Jean-Baptiste Poline; Ariel Rokem; Gunnar Schaefer; Vanessa Sochat; William Triplett; Jessica A Turner; Gaël Varoquaux; Russell A Poldrack
Journal:  Sci Data       Date:  2016-06-21       Impact factor: 6.444

6.  Fast-GPU-PCC: A GPU-Based Technique to Compute Pairwise Pearson's Correlation Coefficients for Time Series Data-fMRI Study.

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Journal:  High Throughput       Date:  2018-04-20

7.  Enhancing Diagnosis of Autism With Optimized Machine Learning Models and Personal Characteristic Data.

Authors:  Milan N Parikh; Hailong Li; Lili He
Journal:  Front Comput Neurosci       Date:  2019-02-15       Impact factor: 2.380

8.  Inconsistency in Abnormal Functional Connectivity Across Datasets of ADHD-200 in Children With Attention Deficit Hyperactivity Disorder.

Authors:  Zhi-Wei Zhou; Yan-Tong Fang; Xia-Qing Lan; Li Sun; Qing-Jiu Cao; Yu-Feng Wang; Hong Luo; Yu-Feng Zang; Hang Zhang
Journal:  Front Psychiatry       Date:  2019-09-27       Impact factor: 4.157

Review 9.  Machine learning in major depression: From classification to treatment outcome prediction.

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10.  Multiclass Classification for the Differential Diagnosis on the ADHD Subtypes Using Recursive Feature Elimination and Hierarchical Extreme Learning Machine: Structural MRI Study.

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Journal:  PLoS One       Date:  2016-08-08       Impact factor: 3.240

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  6 in total

1.  A Multi-Factorial Assessment of Functional Human Autistic Spectrum Brain Network Analysis.

Authors:  Oswaldo Artiles; Fahad Saeed
Journal:  Proceedings (IEEE Int Conf Bioinformatics Biomed)       Date:  2021-12

Review 2.  12 Plagues of AI in Healthcare: A Practical Guide to Current Issues With Using Machine Learning in a Medical Context.

Authors:  Stephane Doyen; Nicholas B Dadario
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3.  Identifying and Predicting Autism Spectrum Disorder Based on Multi-Site Structural MRI With Machine Learning.

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Journal:  Front Hum Neurosci       Date:  2022-02-22       Impact factor: 3.169

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Journal:  Front Neuroinform       Date:  2022-02-10       Impact factor: 4.081

Review 5.  Automatic autism spectrum disorder detection using artificial intelligence methods with MRI neuroimaging: A review.

Authors:  Parisa Moridian; Navid Ghassemi; Mahboobeh Jafari; Salam Salloum-Asfar; Delaram Sadeghi; Marjane Khodatars; Afshin Shoeibi; Abbas Khosravi; Sai Ho Ling; Abdulhamit Subasi; Roohallah Alizadehsani; Juan M Gorriz; Sara A Abdulla; U Rajendra Acharya
Journal:  Front Mol Neurosci       Date:  2022-10-04       Impact factor: 6.261

Review 6.  Machine learning for autism spectrum disorder diagnosis using structural magnetic resonance imaging: Promising but challenging.

Authors:  Reem Ahmed Bahathiq; Haneen Banjar; Ahmed K Bamaga; Salma Kammoun Jarraya
Journal:  Front Neuroinform       Date:  2022-09-28       Impact factor: 3.739

  6 in total

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