Machine learning classification of active viewing of pain and non-pain images using EEG does not exceed chance in external validation samples.

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Title: Machine learning classification of active viewing of pain and non-pain images using EEG does not exceed chance in external validation samples.
Authors: Mari T; Department of Psychology, Institute of Population Health, Faculty of Health and Life Sciences, University of Liverpool, Bedford Street South, Liverpool, L69 7ZA, UK. tyler.mari@liverpool.ac.uk., Ali SH; Department of Psychology, Institute of Population Health, Faculty of Health and Life Sciences, University of Liverpool, Bedford Street South, Liverpool, L69 7ZA, UK., Pacinotti L; Department of Psychology, Institute of Population Health, Faculty of Health and Life Sciences, University of Liverpool, Bedford Street South, Liverpool, L69 7ZA, UK., Powsey S; Department of Psychology, Institute of Population Health, Faculty of Health and Life Sciences, University of Liverpool, Bedford Street South, Liverpool, L69 7ZA, UK., Fallon N; Department of Psychology, Institute of Population Health, Faculty of Health and Life Sciences, University of Liverpool, Bedford Street South, Liverpool, L69 7ZA, UK.
Source: Cognitive, affective & behavioral neuroscience [Cogn Affect Behav Neurosci] 2025 Jun; Vol. 25 (3), pp. 814-831. Date of Electronic Publication: 2025 Feb 18.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Springer Country of Publication: United States NLM ID: 101083946 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1531-135X (Electronic) Linking ISSN: 15307026 NLM ISO Abbreviation: Cogn Affect Behav Neurosci Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1531-135X
DOI:10.3758/s13415-025-01268-2