A diffusion decision model analysis of the cognitive effects of neurofeedback for ADHD.
Autor: | Ging-Jehli NR; Department of Psychology, Ohio State University., Painter QA; Department of Psychiatry, Creighton University., Kraemer HA; Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine., Roley-Roberts ME; Department of Psychiatry, Creighton University., Panchyshyn C; Department of Psychology, Ohio State University., deBeus R; Department of Psychology, University of North Carolina at Asheville., Arnold LE; Department of Psychiatry and Behavioral Health, Ohio State University. |
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Jazyk: | angličtina |
Zdroj: | Neuropsychology [Neuropsychology] 2024 Feb; Vol. 38 (2), pp. 146-156. Date of Electronic Publication: 2023 Nov 16. |
DOI: | 10.1037/neu0000932 |
Abstrakt: | Objective: To examine cognitive effects of neurofeedback (NF) for attention-deficit hyperactivity disorder (ADHD) as a secondary outcome of a randomized clinical trial. Method: In a double-blind randomized clinical trial (NCT02251743), 133 7-10-year olds with ADHD received either 38 sessions of NF ( n = 78) or control treatment ( n = 55) and performed an integrated visual and auditory continuous performance test at baseline, mid- and end-treatment. We used the diffusion decision model to decompose integrated visual and auditory continuous performance test performance at each assessment into cognitive components: efficiency of integrating stimulus information ( v ), context sensitivity ( c Results: Before NF, children with ADHD showed main deficits in integrating stimulus information ( v ), which led to less accurate and slower responses than healthy controls ( p = .008). The NF group showed significantly more improvement in integrating auditory stimulus information ( v ) than control treatment (significant group-by-time-by-modality effect: p = .044). Conclusions: NF seems to improve v , deficient in ADHD. (PsycInfo Database Record (c) 2024 APA, all rights reserved). |
Databáze: | MEDLINE |
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