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A new perspective on individual reliability beyond group effect for event-related potentials: A multisensory investigation and computational modeling.
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- Author(s): Hu Z;Hu Z;Hu Z; Zhang Z; Zhang Z; Zhang Z; Zhang Z; Zhang Z; Liang Z; Liang Z; Liang Z; Zhang L; Zhang L; Zhang L; Li L; Li L; Li L; Huang G; Huang G; Huang G
- Source:
NeuroImage [Neuroimage] 2022 Apr 15; Vol. 250, pp. 118937. Date of Electronic Publication: 2022 Jan 25.- Publication Type:
Journal Article; Research Support, Non-U.S. Gov't- Language:
English - Source:
- Additional Information
- Source: Publisher: Academic Press Country of Publication: United States NLM ID: 9215515 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1095-9572 (Electronic) Linking ISSN: 10538119 NLM ISO Abbreviation: Neuroimage Subsets: MEDLINE
- Publication Information: Original Publication: Orlando, FL : Academic Press, c1992-
- Subject Terms:
- Abstract: The dominant approach in investigating the individual reliability for event-related potentials (ERPs) is to extract peak-related features at electrodes showing the strongest group effects. Such a peak-based approach implicitly assumes ERP components showing a stronger group effect are also more reliable, but this assumption has not been substantially validated and few studies have investigated the reliability of ERPs beyond peaks. In this study, we performed a rigorous evaluation of the test-retest reliability of ERPs collected in a multisensory and cognitive experiment from 82 healthy adolescents, each having two sessions. By comparing group effects and individual reliability, we found that a stronger group-level response in ERPs did not guarantee higher reliability. A perspective of neural oscillation should be adopted for the analysis of reliability. Further, by simulating ERPs with an oscillation-based computational model, we found that the consistency between group-level ERP responses and individual reliability was modulated by inter-subject latency jitter and inter-trial variability. The current findings suggest that the conventional peak-based approach may underestimate the individual reliability in ERPs and a neural oscillation perspective on ERP reliability should be considered. Hence, a comprehensive evaluation of the reliability of ERP measurements should be considered in individual-level neurophysiological trait evaluation and psychiatric disorder diagnosis.
(Copyright © 2022. Published by Elsevier Inc.) - Contributed Indexing: Keywords: Computational Model; Event-related potentials; Group effects; Individual reliability; Multisensory
- Publication Date: Date Created: 20220129 Date Completed: 20220317 Latest Revision: 20220317
- Publication Date: 20240105
- Accession Number: 10.1016/j.neuroimage.2022.118937
- Accession Number: 35091080
- Source:
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