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Transdiagnostic psychopathology in the light of robust single-trial event-related potentials
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  • Martin Randau,
  • Bo Bach,
  • Nina Reinholt,
  • Cyril Pernet,
  • Bob Oranje,
  • Belinda Rasmussen,
  • Sidse Arnfred
Martin Randau
Copenhagen University Hospital

Corresponding Author:[email protected]

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Bo Bach
Copenhagen University Hospital
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Nina Reinholt
Copenhagen University Hospital
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Cyril Pernet
Copenhagen University Hospital
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Bob Oranje
Copenhagen University Hospital
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Belinda Rasmussen
Copenhagen University Hospital
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Sidse Arnfred
University of Copenhagen
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Abstract

Recent evidence indicate that event-related potentials (ERPs) as measured on the electroencephalogram (EEG) are more closely related to transdiagnostic, dimensional measures of psychopathology (TDP) than to diagnostic categories. Given this, a comprehensive examination of correlations between well-studied ERPs and measures of TDP is called for. In this study, we recruited 50 patients with emotional disorders undergoing 14 weeks of transdiagnostic group psychotherapy as well as 37 healthy comparison subjects (HC) matched in age and sex. HCs were assessed once and patients three times throughout treatment (N = 172 datasets) with a battery of well-studied ERPs and psychopathology measures consistent with the TDP framework The Hierarchical Taxonomy of Psychopathology (HiTOP). ERPs were quantified using robust single-trial analysis (RSTA) methods and TDP correlations with linear regression models as implemented in the EEGLAB toolbox LIMO EEG. We found correlations at several levels of the HiTOP hierarchy. Among these, a reduced P3b as well as a reduced error-related negativity correlated strongly with worse symptomatology across the Internalizing spectrum. Conversely, increases in the correct-related negativity correlated with symptoms loading unto the Distress subfactor in the HiTOP. Increases in mismatch negativity were primarily related to maladaptive personality traits at the lowest levels of the HiTOP hierarchy. Our study highlights the advantages of RSTA methods and of using validated TDP constructs within a consistent framework such as the HiTOP. Future studies could utilize machine learning methods to predict TDP from a set of ERP features at the subject level.
25 Sep 2023Submitted to Psychophysiology
26 Sep 2023Assigned to Editor
26 Sep 2023Submission Checks Completed
26 Sep 2023Review(s) Completed, Editorial Evaluation Pending
13 Oct 2023Reviewer(s) Assigned