Reliability of ERP and single-trial analyses

Gaspar, C. M., Rousselet, G. A. and Pernet, C. R. (2011) Reliability of ERP and single-trial analyses. NeuroImage, 58(2), pp. 620-629. (doi: 10.1016/j.neuroimage.2011.06.052) (PMID:21741482)

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A reliable measure is one we can trust in the long run. Thus, the reliability of measurements is as important as their validity. Here we investigated the reliability of brain electrical visual evoked responses to faces and noise textures. For the first time, we provide reliability measures for the full time course of event-related potentials (ERPs). Our analyses were also performed on a R2(t) metric that reflects results from single-trial analyses, therefore providing the first reliability analysis of ERP single-trial analyses. Results show that ERPs and R2(t) are highly reliable (cross-correlation ~ 0.9, lag ~ 4/6 ms, intra-class correlation ~ 0.9) but also idiosyncratic: ERPs and R2(t) are highly reproducible within subjects, who differ reliably from each other and the grand average across subjects. Consequently, grand averages, although highly reliable, can be misleading because they might not reflect the actual brain dynamic of any subjects.

Item Type:Articles
Glasgow Author(s) Enlighten ID:Pernet, Dr Cyril and Rousselet, Dr Guillaume and Gaspar, Dr Carl
Authors: Gaspar, C. M., Rousselet, G. A., and Pernet, C. R.
College/School:College of Medical Veterinary and Life Sciences > Institute of Neuroscience and Psychology
Journal Name:NeuroImage
Publisher:Elsevier Inc.
ISSN (Online):1095-9572
Published Online:25 June 2011

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Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
489271A new EEG technique to access object visual processing speed in younger and older adultsGuillaume RousseletEconomic & Social Research Council (ESRC)ES/G023093/1Cognitive Neuroimaging & Neuroengineering Technologies