Surpassing the average ? an ica-based approach to the electrophysiological basis of intra-subject variability

Abstract

Event Abstract Back to Event Surpassing the average – an ica-based approach to the electrophysiological basis of intra-subject variability Christoph Klein1*, Christopher Saville1 and Bernd Feige2 1 Bangor University, United Kingdom 2 University of Freiburg, Germany Recent years have witnessed the change of Intra-Subject Variability (ISV) from a badly neglected topic to an emerging research domain in the cognitive, developmental and clinical sciences. The aim of the present study is to contribute to the understanding of ISV, its development and clinical alterations with temporal-spatial analyses of EEG-RT correlations in adults, children, and patients with ADHD. Tweenty three healthy young adults, 25 healthy children and 26 patients with ADHD took four visual choice RT tasks of the 0-back and 1-back type and using jittered (2.0-3.0 sec) versus constant (2.0 sec) SOAs (2x180 trials, 25% targets each). The EEG was recorded from 64 channels using active electrodes and DC amplifiers (DC-250 Hz; Brain Products). Independent Components Analysis (ICA) was employed for artefact correction and single-trial ERP analysis. To obtain temporal-spatial courses of EEG-RT correlations, the individual ICs’ single-trial data points at each latency were correlated with the single-trial RT. EEG-RT correlations were back-projected to the common electrode space using the ICs’ spatial weights, separately for negative versus positive correlations. Results show that negative EEG-RT correlations (high IC amplitudes corresponding to fast RT) rise with changing topographies between 80 and 350 ms post stimulus onset and delayed rising of positive EEG-RT correlations that peak around mean RT in adults. By contrast, children and patients with ADHD show delayed and weakened EEG-RT coupling. The present results suggest that, intra-individually, fast responding is associated with increased electro-cortical activity between 80 and 350 ms and that this brain-behaviour coupling is subject to developmental changes and clinical alterations. Keywords: EEG, Neuropsychiatry Conference: XI International Conference on Cognitive Neuroscience (ICON XI), Palma, Mallorca, Spain, 25 Sep - 29 Sep, 2011. Presentation Type: Poster Presentation Topic: Poster Sessions: Quantitative Analysis of EEG, MEG & Brain Oscillations Citation: Klein C, Saville C and Feige B (2011). Surpassing the average – an ica-based approach to the electrophysiological basis of intra-subject variability. Conference Abstract: XI International Conference on Cognitive Neuroscience (ICON XI). doi: 10.3389/conf.fnhum.2011.207.00125 Copyright: The abstracts in this collection have not been subject to any Frontiers peer review or checks, and are not endorsed by Frontiers. They are made available through the Frontiers publishing platform as a service to conference organizers and presenters. The copyright in the individual abstracts is owned by the author of each abstract or his/her employer unless otherwise stated. Each abstract, as well as the collection of abstracts, are published under a Creative Commons CC-BY 4.0 (attribution) licence (https://creativecommons.org/licenses/by/4.0/) and may thus be reproduced, translated, adapted and be the subject of derivative works provided the authors and Frontiers are attributed. For Frontiers’ terms and conditions please see https://www.frontiersin.org/legal/terms-and-conditions. Received: 17 Nov 2011; Published Online: 28 Nov 2011. * Correspondence: Dr. Christoph Klein, Bangor University, Bangor, United Kingdom, c.klein@bangor.ac.uk Login Required This action requires you to be registered with Frontiers and logged in. To register or login click here. Abstract Info Abstract The Authors in Frontiers Christoph Klein Christopher Saville Bernd Feige Google Christoph Klein Christopher Saville Bernd Feige Google Scholar Christoph Klein Christopher Saville Bernd Feige PubMed Christoph Klein Christopher Saville Bernd Feige Related Article in Frontiers Google Scholar PubMed Abstract Close Back to top Javascript is disabled. Please enable Javascript in your browser settings in order to see all the content on this page.