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      Perfectionism-related variations in error processing in a task with increased response selection complexity

      research-article
      , ,
      Personality Neuroscience
      Cambridge University Press
      perfectionism, error negativity, error positivity, cognitive control, action monitoring

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          Abstract

          Perfectionists strive for a flawless performance because they are intrinsically motivated to set and achieve high goals (personal standards perfectionism; PSP) and/or because they are afraid to be negatively evaluated by others (evaluative concern perfectionism; ECP). We investigated the differential relationships of these perfectionism dimensions with performance, post-response adaptation, error processing (reflected by two components of the event-related potential: error/correct negativity – Ne/c; error/correct positivity – Pe/c) and error detection. In contrast to previous studies, we employed a task with increased response selection complexity providing more room for perfectionistic dispositions to manifest themselves. Although ECP was related to indicators of increased preoccupation with errors, high-EC perfectionists made more errors than low-EC perfectionists. This observation may be explained by insufficient early error processing as indicated by a reduced Ne/c effect and a lack of post-response adaptation. PSP had a moderating effect on the relationship between ECP and early error processing. Our results provide evidence that pure-EC perfectionists may spend many of their cognitive resources on error-related contents and worrying, leaving less capacity for cognitive control and thus producing a structural lack of error processing.

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              EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis

              We have developed a toolbox and graphic user interface, EEGLAB, running under the crossplatform MATLAB environment (The Mathworks, Inc.) for processing collections of single-trial and/or averaged EEG data of any number of channels. Available functions include EEG data, channel and event information importing, data visualization (scrolling, scalp map and dipole model plotting, plus multi-trial ERP-image plots), preprocessing (including artifact rejection, filtering, epoch selection, and averaging), independent component analysis (ICA) and time/frequency decompositions including channel and component cross-coherence supported by bootstrap statistical methods based on data resampling. EEGLAB functions are organized into three layers. Top-layer functions allow users to interact with the data through the graphic interface without needing to use MATLAB syntax. Menu options allow users to tune the behavior of EEGLAB to available memory. Middle-layer functions allow users to customize data processing using command history and interactive 'pop' functions. Experienced MATLAB users can use EEGLAB data structures and stand-alone signal processing functions to write custom and/or batch analysis scripts. Extensive function help and tutorial information are included. A 'plug-in' facility allows easy incorporation of new EEG modules into the main menu. EEGLAB is freely available (http://www.sccn.ucsd.edu/eeglab/) under the GNU public license for noncommercial use and open source development, together with sample data, user tutorial and extensive documentation.
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                Author and article information

                Journal
                Personal Neurosci
                Personal Neurosci
                PEN
                Personality Neuroscience
                Cambridge University Press (New York, USA )
                2513-9886
                2023
                11 January 2023
                : 5
                : e12
                Affiliations
                Department of Individual Differences and Psychological Assessment, University of Cologne , Cologne, Germany
                Author notes
                Author for correspondence: André Mattes, Email: andre.mattes@ 123456uni-koeln.de

                This research was supported by the German Research Foundation (STA 1035/7-1, awarded to Jutta Stahl).

                Author information
                https://orcid.org/0000-0002-4821-8012
                https://orcid.org/0000-0002-8081-1852
                https://orcid.org/0000-0002-3252-180X
                Article
                S2513988622000037
                10.1017/pen.2022.3
                9880962
                43159202-218e-4568-8dfb-dc0a6cdb0b1e
                © The Author(s) 2023

                This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.

                History
                : 15 February 2022
                : 12 August 2022
                : 24 August 2022
                Page count
                Figures: 5, Tables: 3, References: 77, Pages: 13
                Categories
                Empirical Paper

                perfectionism,error negativity,error positivity,cognitive control,action monitoring

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