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Adolescent ADHD and electrophysiological reward responsiveness: A machine learning approach to evaluate classification accuracy and prognosis.

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Title: Adolescent ADHD and electrophysiological reward responsiveness: A machine learning approach to evaluate classification accuracy and prognosis.
Authors: Hámori G; Clinical and Developmental Neuropsychology Research Group, Research Centre for Natural Sciences, Institute of Cognitive Neuroscience and Psychology, Magyar Tudósok körútja 2, Budapest 1117, Hungary; Department of Cognitive Science, Faculty of Natural Sciences, Budapest University of Technology and Economics, Műegyetem rkp. 3., Budapest H-1111, Hungary., File B; Research Centre for Natural Sciences, Integrative Neuroscience Research Group, Institute of Cognitive Neuroscience and Psychology, Magyar Tudósok körútja 2, Budapest 1117, Hungary; Faculty of Information Technology and Bionics, Pázmány Péter Catholic University, Práter utca 50/A, Budapest 1083, Hungary; Theoretical Neuroscience and Complex Systems Research Group, Wigner Research Centre for Physics, Konkoly-Tege Miklós út 29-33, Budapest 1121, Hungary., Fiáth R; Research Centre for Natural Sciences, Integrative Neuroscience Research Group, Institute of Cognitive Neuroscience and Psychology, Magyar Tudósok körútja 2, Budapest 1117, Hungary; Faculty of Information Technology and Bionics, Pázmány Péter Catholic University, Práter utca 50/A, Budapest 1083, Hungary., Pászthy B; Department of Paediatrics, Semmelweis University, Faculty of Medicine, Bókay János u. 53-54, Budapest 1083, Hungary., Réthelyi JM; Department of Psychiatry and Psychotherapy, Semmelweis University, Faculty of Medicine, Balassa u. 6, Budapest 1083, Hungary., Ulbert I; Research Centre for Natural Sciences, Integrative Neuroscience Research Group, Institute of Cognitive Neuroscience and Psychology, Magyar Tudósok körútja 2, Budapest 1117, Hungary; Faculty of Information Technology and Bionics, Pázmány Péter Catholic University, Práter utca 50/A, Budapest 1083, Hungary., Bunford N; Clinical and Developmental Neuropsychology Research Group, Research Centre for Natural Sciences, Institute of Cognitive Neuroscience and Psychology, Magyar Tudósok körútja 2, Budapest 1117, Hungary. Electronic address: bunford.nora@ttk.hu.
Source: Psychiatry research [Psychiatry Res] 2023 May; Vol. 323, pp. 115139. Date of Electronic Publication: 2023 Mar 04.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Elsevier/North-Holland Biomedical Press Country of Publication: Ireland NLM ID: 7911385 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1872-7123 (Electronic) Linking ISSN: 01651781 NLM ISO Abbreviation: Psychiatry Res Subsets: MEDLINE
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  Data: Adolescent ADHD and electrophysiological reward responsiveness: A machine learning approach to evaluate classification accuracy and prognosis.
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  Data: <searchLink fieldCode="AU" term="%22Hámori+G%22">Hámori G</searchLink>; Clinical and Developmental Neuropsychology Research Group, Research Centre for Natural Sciences, Institute of Cognitive Neuroscience and Psychology, Magyar Tudósok körútja 2, Budapest 1117, Hungary; Department of Cognitive Science, Faculty of Natural Sciences, Budapest University of Technology and Economics, Műegyetem rkp. 3., Budapest H-1111, Hungary.<br /><searchLink fieldCode="AU" term="%22File+B%22">File B</searchLink>; Research Centre for Natural Sciences, Integrative Neuroscience Research Group, Institute of Cognitive Neuroscience and Psychology, Magyar Tudósok körútja 2, Budapest 1117, Hungary; Faculty of Information Technology and Bionics, Pázmány Péter Catholic University, Práter utca 50/A, Budapest 1083, Hungary; Theoretical Neuroscience and Complex Systems Research Group, Wigner Research Centre for Physics, Konkoly-Tege Miklós út 29-33, Budapest 1121, Hungary.<br /><searchLink fieldCode="AU" term="%22Fiáth+R%22">Fiáth R</searchLink>; Research Centre for Natural Sciences, Integrative Neuroscience Research Group, Institute of Cognitive Neuroscience and Psychology, Magyar Tudósok körútja 2, Budapest 1117, Hungary; Faculty of Information Technology and Bionics, Pázmány Péter Catholic University, Práter utca 50/A, Budapest 1083, Hungary.<br /><searchLink fieldCode="AU" term="%22Pászthy+B%22">Pászthy B</searchLink>; Department of Paediatrics, Semmelweis University, Faculty of Medicine, Bókay János u. 53-54, Budapest 1083, Hungary.<br /><searchLink fieldCode="AU" term="%22Réthelyi+JM%22">Réthelyi JM</searchLink>; Department of Psychiatry and Psychotherapy, Semmelweis University, Faculty of Medicine, Balassa u. 6, Budapest 1083, Hungary.<br /><searchLink fieldCode="AU" term="%22Ulbert+I%22">Ulbert I</searchLink>; Research Centre for Natural Sciences, Integrative Neuroscience Research Group, Institute of Cognitive Neuroscience and Psychology, Magyar Tudósok körútja 2, Budapest 1117, Hungary; Faculty of Information Technology and Bionics, Pázmány Péter Catholic University, Práter utca 50/A, Budapest 1083, Hungary.<br /><searchLink fieldCode="AU" term="%22Bunford+N%22">Bunford N</searchLink>; Clinical and Developmental Neuropsychology Research Group, Research Centre for Natural Sciences, Institute of Cognitive Neuroscience and Psychology, Magyar Tudósok körútja 2, Budapest 1117, Hungary. Electronic address: bunford.nora@ttk.hu.
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  Data: <searchLink fieldCode="JN" term="%227911385%22">Psychiatry research</searchLink> [Psychiatry Res] 2023 May; Vol. 323, pp. 115139. <i>Date of Electronic Publication: </i>2023 Mar 04.
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        Value: 10.1016/j.psychres.2023.115139
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              Text: 2023 May
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