PMID- 25787953 OWN - NLM STAT- MEDLINE DCOM- 20160315 LR - 20181113 IS - 1522-1598 (Electronic) IS - 0022-3077 (Print) IS - 0022-3077 (Linking) VI - 113 IP - 10 DP - 2015 Jun 1 TI - Assessment of nonlinear interactions in event-related potentials elicited by stimuli presented at short interstimulus intervals using single-trial data. PG - 3623-33 LID - 10.1152/jn.00523.2014 [doi] AB - The recording of brain event-related potentials (ERPs) is a widely used technique to investigate the neural basis of sensory perception and cognitive processing in humans. Due to the low magnitude of ERPs, averaging of several consecutive stimuli is typically employed to enhance the signal to noise ratio (SNR) before subsequent analysis. However, when the temporal interval between two consecutive stimuli is smaller than the latency of the main ERP peaks, i.e., when the stimuli are presented at a fast rate, overlaps between the corresponding ERPs may occur. These overlaps are usually dealt with by assuming that there is a simple additive superposition between the elicited ERPs and consequently performing algebraic waveform subtractions. Here, we test this assumption rigorously by providing a statistical framework that examines the presence of nonlinear additive effects between overlapping ERPs elicited by successive stimuli with short interstimulus intervals (ISIs). The results suggest that there are no nonlinear additive effects due to the time overlap per se but that, for the range of ISIs examined, the second ERP is modulated by the presence of the first stimulus irrespective of whether there is time overlap or not. In other words, two ERPs that overlap in time can still be written as an addition of two ERPs but with the second ERP being different from the first. This difference is also present in the case of nonoverlapping ERPs with short ISIs. The modulation effect elicited on the second ERP by the first stimulus is dependent on the ISI value. CI - Copyright (c) 2015 the American Physiological Society. FAU - Loizides, Charalambos AU - Loizides C AD - KIOS Research Center for Intelligent Systems and Networks, University of Cyprus, Nicosia, Cyprus; FAU - Achilleos, Achilleas AU - Achilleos A AD - KIOS Research Center for Intelligent Systems and Networks, University of Cyprus, Nicosia, Cyprus; Cancer Research United Kingdom Cambridge Institute, University of Cambridge, Cambridge, United Kingdom; FAU - Iannetti, Gian Domenico AU - Iannetti GD AD - Department of Neuroscience, Physiology and Pharmacology, University College London, London, United Kingdom; and. FAU - Mitsis, Georgios D AU - Mitsis GD AD - KIOS Research Center for Intelligent Systems and Networks, University of Cyprus, Nicosia, Cyprus; Department of Bioengineering, McGill University, Montreal, Canada georgios.mitsis@mcgill.ca. LA - eng GR - 102645/Wellcome Trust/United Kingdom PT - Journal Article PT - Research Support, Non-U.S. Gov't DEP - 20150318 PL - United States TA - J Neurophysiol JT - Journal of neurophysiology JID - 0375404 SB - IM MH - Adult MH - Analysis of Variance MH - Biophysics MH - Electroencephalography MH - Evoked Potentials/*physiology MH - Female MH - Fourier Analysis MH - Healthy Volunteers MH - Humans MH - Male MH - Middle Aged MH - *Nonlinear Dynamics MH - Time Factors MH - Young Adult PMC - PMC4461881 OTO - NOTNLM OT - EEG OT - ERP OT - analysis of variance OT - mixed effects models EDAT- 2015/03/20 06:00 MHDA- 2016/03/16 06:00 PMCR- 2016/06/01 CRDT- 2015/03/20 06:00 PHST- 2014/07/16 00:00 [received] PHST- 2015/03/17 00:00 [accepted] PHST- 2015/03/20 06:00 [entrez] PHST- 2015/03/20 06:00 [pubmed] PHST- 2016/03/16 06:00 [medline] PHST- 2016/06/01 00:00 [pmc-release] AID - jn.00523.2014 [pii] AID - JN-00523-2014 [pii] AID - 10.1152/jn.00523.2014 [doi] PST - ppublish SO - J Neurophysiol. 2015 Jun 1;113(10):3623-33. doi: 10.1152/jn.00523.2014. Epub 2015 Mar 18.