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      Preventing (impulsive) errors: Electrophysiological evidence for online inhibitory control over incorrect responses

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          Abstract

          In a rich environment, with multiple action affordances, selective action inhibition is critical in preventing the execution of inappropriate responses. Here, we studied the origin and the dynamics of incorrect response inhibition and how it can be modulated by task demands. We used EEG in a conflict task where the probability of compatible and incompatible trials was varied. This allowed us to modulate the strength of the prepotent response, and hence to increase the risk of errors, while keeping the probability of the two responses equal. The correct response activation and execution was not affected by compatibility or by probability. In contrast, incorrect response inhibition in the primary motor cortex ipsilateral to the correct response was more pronounced on incompatible trials, especially in the condition where most of the trials were compatible, indicating a modulation of inhibitory strength within the course of the action. Two prefrontal activities, one medial and one lateral, were also observed before the response, and their potential links with the observed inhibitory pattern observed are discussed.

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          Most cited references40

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          The time course of perceptual choice: the leaky, competing accumulator model.

          The time course of perceptual choice is discussed in a model of gradual, leaky, stochastic, and competitive information accumulation in nonlinear decision units. Special cases of the model match a classical diffusion process, but leakage and competition work together to address several challenges to existing diffusion, random walk, and accumulator models. The model accounts for data from choice tasks using both time-controlled (e.g., response signal) and standard reaction time paradigms and its adequacy compares favorably with other approaches. A new paradigm that controls the time of arrival of information supporting different choice alternatives provides further support. The model captures choice behavior regardless of the number of alternatives, accounting for the log-linear relation between reaction time and number of alternatives (Hick's law) and explains a complex pattern of visual and contextual priming in visual word identification.
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            Micro- and macro-adjustments of task set: activation and suppression in conflict tasks.

            Macro- and micro-adjustment of task set was studied using distributional analyses of performance data (reaction time and accuracy) obtained in a new experiment using the Simon task. Macro-adjustments involved the long-term strategic modifications in response to the relative probability of conflict trials, while micro-adjustment involved trial-by-trial modifications invoked by the commission of incidental errors. These adjustments were examined in detail in distributional analyses of RT and accuracy, which have been shown to be particularly useful in studying the role of activation and suppression in conflict tasks. The modification of behavioral strategies incurred by the commission of errors and by the relative probability that the irrelevant location corresponded to the incorrect response was found to involve a reduced location-driven direct response activation (as reflected in the early portions of the delta plots for accuracy) and a stronger selective suppression of that direct activation (as reflected in the delta plot slopes for RT). When the probability of conflict trials was high, the effects of irrelevant location were already precluded by macro-adjustment, so that error commission had no further micro-adjustment effect on subsequent behavior. These patterns were not disclosed by analysis of overall performance.
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              Spatial and temporal resolutions of EEG: Is it really black and white? A scalp current density view

              Among the different brain imaging techniques, electroencephalography (EEG) is classically considered as having an excellent temporal resolution, but a poor spatial one. Here, we argue that the actual temporal resolution of conventional (scalp potentials) EEG is overestimated, and that volume conduction, the main cause of the poor spatial resolution of EEG, also distorts the recovered time course of the underlying sources at scalp level, and hence degrades the actual temporal resolution of EEG. While Current Source Density (CSD) estimates, through the Surface Laplacian (SL) computation, are well known to dramatically reduce volume conduction effects and hence improve EEG spatial resolution, its positive impact on EEG temporal resolution is much less recognized. In two simulation studies, we first show how volume conduction and reference electrodes distort the scalp potential time course, and how SL transform provides a much better spatio-temporal description. We then exemplify similar effects on two empirical datasets. We show how the time courses of the scalp potentials mis-estimate the latencies of the relevant brain events and that CSD provides a much richer, and much more accurate, view of the spatio-temporal dynamics of brain activity.
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                Author and article information

                Journal
                Psychophysiology
                Psychophysiology
                10.1111/(ISSN)1469-8986
                PSYP
                Psychophysiology
                John Wiley and Sons Inc. (Hoboken )
                0048-5772
                1540-5958
                23 March 2016
                July 2016
                : 53
                : 7 ( doiID: 10.1111/psyp.2016.53.issue-7 )
                : 1008-1019
                Affiliations
                [ 1 ]Aix‐Marseille Université, CNRS LNC UMR 7291 MarseilleFrance
                [ 2 ] Department of PsychologyUniversity of Amsterdam AmsterdamThe Netherlands
                [ 3 ] Amsterdam Brain & Cognition (ABC)University of Amsterdam AmsterdamThe Netherlands
                Author notes
                [*] [* ]Address correspondence to: Boris Burle, LNC, UMR 7291, Case C, Aix‐Marseille Université, CNRS, 3, Place Victor Hugo, 13331 Marseille, cedex 3, France.
                Article
                PSYP12647
                10.1111/psyp.12647
                4949675
                27005956
                d74abeb8-789d-4af1-83e6-14c7de7248c3
                © 2016 The Authors. Psychophysiology published by Wiley Periodicals, Inc. on behalf of Society for Psychophysiological Research

                This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 05 January 2015
                : 21 November 2015
                Page count
                Pages: 12
                Funding
                Funded by: Fyssen Foundation
                Funded by: European Research Council
                Award ID: FP/2007‐2013 Grant Agreement no. 241077 (European Community's Seventh Framework Program)
                Funded by: CNRS
                Funded by: Netherlands Organisation for Scientific Research (NWO)
                Categories
                Original Article
                Original Articles
                Custom metadata
                2.0
                psyp12647
                July 2016
                Converter:WILEY_ML3GV2_TO_NLMPMC version:4.9.2 mode:remove_FC converted:19.07.2016

                Neurology
                response inhibition,simon task,eeg,current source density
                Neurology
                response inhibition, simon task, eeg, current source density

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