Surface-based shared and distinct resting functional connectivity in attention-deficit hyperactivity disorder and autism spectrum disorder
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Guidance for identification and treatment of individuals with attention deficit/hyperactivity disorder and autism spectrum disorder based upon expert consensus
Susan Young,Jack Hollingdale,Michael Absoud,Michael Absoud,Patrick Bolton,Polly Branney,William Colley,Emily Craze,Mayuri Dave,Quinton Deeley,Emad Farrag,Gisli H. Gudjonsson,Peter Hill,Ho Lan Liang,Clodagh M. Murphy,Peri Mackintosh,Marianna Murin,Fintan O'Regan,Dennis Ougrin,Patricia Rios,Nancy Stover,Eric Taylor,Emma Woodhouse +22 more
TL;DR: A meeting of professional experts aimed to address the complexities of ADHD and ASD as a co-occurring presentation from different perspectives and reached expert consensus on the topic that will aid healthcare practitioners and allied professionals when working with this complex and vulnerable population.
Automated detection of ADHD: Current trends and future perspective
Hui Wen Loh,Chui Ping Ooi,Prabal Datta Barua,Elizabeth Palmer,Filippo Molinari,U. Rajendra Acharya +5 more
TL;DR: In this article , the authors reviewed the current literature on machine learning and deep learning studies on ADHD diagnosis and identified the various diagnostic tools used, categorized these studies according to their diagnostic tool as brain magnetic resonance imaging (MRI), physiological signals, questionnaires, game simulator and performance test, and motion data.
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Automatic autism spectrum disorder detection using artificial intelligence methods with MRI neuroimaging: A review
Parisa Moridian,Navid Ghassemi,Mahboobeh Jafari,Salam Salloum-Asfar,Delaram Sadeghi,Marjane Khodatars,Afshin Shoeibi,Abbas Khosravi,Sai Ho Ling,Abdulhamit Subasi,Sara A. Abdulla,Roohallah Alizadehsani,Juan Manuel Górriz,U. Rajendra Acharya +13 more
TL;DR: This study reviews several computer-aided design systems (CADS) that have been developed using ML techniques for the automated diagnosis of ASD using MRI modalities and suggests future approaches to detecting ASDs using AI techniques and MRI neuroimaging.
An fMRI-based neural marker for migraine without aura.
Yiheng Tu,Fang Zeng,Lei Lan,Zhengjie Li,Nasim Maleki,Bo Liu,Jun Chen,Chenchen Wang,Joel Park,Courtney Lang,Gao Yujie,Mailan Liu,Zening Fu,Zhiguo Zhang,Fanrong Liang,Jian Kong +15 more
TL;DR: An fMRI-based neural marker that captures distinct characteristics of MwoA and can link disease pattern changes to brain changes is identified and shown significant correlation with the changes in headache frequency in response to real acupuncture.
Brain imaging-based machine learning in autism spectrum disorder: methods and applications.
TL;DR: Autism spectrum disorder (ASD) is a neurodevelopmental condition with early childhood onset and high heterogeneity as mentioned in this paper, and many efforts have been devoted to developing imaging-based diagnostic tools for ASD based on machine learning technologies.
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