Predicting the longitudinal efficacy of medication for depression using electroencephalography and machine learning.

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Title: Predicting the longitudinal efficacy of medication for depression using electroencephalography and machine learning.
Authors: Huang SS; Department of Psychiatry, Taipei Veterans General Hospital, Taipei, Taiwan; College of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan; School of Public Health and Graduate Institute of Public Health, College of Public Health, National Defense Medical University, Taipei, Taiwan; Nankung Psychiatric Hospital, Keelung, Taiwan., Huang HL; Department of Surgery, Taipei Veterans General Hospital, Taipei, Taiwan., Lin TP; Department of Electrical Engineering, National Central University, Taoyuan, Taiwan., Kuo PH; Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan; Department of Psychiatry, National Taiwan University Hospital, Taipei, Taiwan; Psychiatric Research Center, Wan Fang Hospital, Taipei Medical University, Taipei, Taiwan., Hou PH; Department of Psychiatry, Taichung Veterans General Hospital, Taichung, Taiwan; Post-Baccalaureate Medicine, National Chung Hsing University, Taichung, Taiwan., Peng SJ; In-Service Master Program in Artificial Intelligence in Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan; Clinical Big Data Research Center, Taipei Medical University Hospital, Taipei Medical University, Taipei, Taiwan. Electronic address: sjpeng2019@tmu.edu.tw.
Source: Journal of psychiatric research [J Psychiatr Res] 2025 Oct; Vol. 190, pp. 372-379. Date of Electronic Publication: 2025 Aug 11.
Publication Type: Journal Article
Journal Info: Publisher: Pergamon Press Country of Publication: England NLM ID: 0376331 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-1379 (Electronic) Linking ISSN: 00223956 NLM ISO Abbreviation: J Psychiatr Res Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Predicting the longitudinal efficacy of medication for depression using electroencephalography and machine learning.
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  Data: <searchLink fieldCode="AU" term="%22Huang+SS%22">Huang SS</searchLink>; Department of Psychiatry, Taipei Veterans General Hospital, Taipei, Taiwan; College of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan; School of Public Health and Graduate Institute of Public Health, College of Public Health, National Defense Medical University, Taipei, Taiwan; Nankung Psychiatric Hospital, Keelung, Taiwan.<br /><searchLink fieldCode="AU" term="%22Huang+HL%22">Huang HL</searchLink>; Department of Surgery, Taipei Veterans General Hospital, Taipei, Taiwan.<br /><searchLink fieldCode="AU" term="%22Lin+TP%22">Lin TP</searchLink>; Department of Electrical Engineering, National Central University, Taoyuan, Taiwan.<br /><searchLink fieldCode="AU" term="%22Kuo+PH%22">Kuo PH</searchLink>; Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan; Department of Psychiatry, National Taiwan University Hospital, Taipei, Taiwan; Psychiatric Research Center, Wan Fang Hospital, Taipei Medical University, Taipei, Taiwan.<br /><searchLink fieldCode="AU" term="%22Hou+PH%22">Hou PH</searchLink>; Department of Psychiatry, Taichung Veterans General Hospital, Taichung, Taiwan; Post-Baccalaureate Medicine, National Chung Hsing University, Taichung, Taiwan.<br /><searchLink fieldCode="AU" term="%22Peng+SJ%22">Peng SJ</searchLink>; In-Service Master Program in Artificial Intelligence in Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan; Clinical Big Data Research Center, Taipei Medical University Hospital, Taipei Medical University, Taipei, Taiwan. Electronic address: sjpeng2019@tmu.edu.tw.
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  Data: <searchLink fieldCode="JN" term="%220376331%22">Journal of psychiatric research</searchLink> [J Psychiatr Res] 2025 Oct; Vol. 190, pp. 372-379. <i>Date of Electronic Publication: </i>2025 Aug 11.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Pergamon+Press%22">Pergamon Press </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>0376331 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1879-1379 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2200223956%22">00223956 </searchLink><i>NLM ISO Abbreviation: </i>J Psychiatr Res <i>Subsets: </i>MEDLINE
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      – Type: doi
        Value: 10.1016/j.jpsychires.2025.08.016
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      – Code: eng
        Text: English
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        StartPage: 372
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      – TitleFull: Predicting the longitudinal efficacy of medication for depression using electroencephalography and machine learning.
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            – D: 01
              M: 10
              Text: 2025 Oct
              Type: published
              Y: 2025
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              Value: 1879-1379
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              Value: 190
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            – TitleFull: Journal of psychiatric research
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