Journal
NEUROIMAGE
Volume 250, Issue -, Pages -Publisher
ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.neuroimage.2022.118937
Keywords
Event-related potentials; Multisensory; Group effects; Individual reliability; Computational Model
Funding
- National Natural Science Foundation of China [81871443, 61906122, 81901831]
- Science, Technology, and Innovation Commission of Shenzhen Municipality Technology Fund [JCYJ20190808173819182]
- Shenzhen Science and Technology Program [JSGG20210713091811038]
- Shenzhen-Hong Kong Institute of Brain Science-Shenzhen Fundamental Research Institutions [2021SHIBS0003]
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This study rigorously evaluated the test-retest reliability of ERPs in a multisensory and cognitive experiment involving 82 healthy adolescents. It found that a stronger group-level response in ERPs did not guarantee higher individual reliability. The consistency between group-level ERP responses and individual reliability was influenced by inter-subject latency jitter and inter-trial variability. These findings suggest the need to consider a neural oscillation perspective when assessing the reliability of ERPs.
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.
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