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      EEG and behavioral correlates of attentional processing while walking and navigating naturalistic environments

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          Abstract

          The capacity to regulate one’s attention in accordance with fluctuating task demands and environmental contexts is an essential feature of adaptive behavior. Although the electrophysiological correlates of attentional processing have been extensively studied in the laboratory, relatively little is known about the way they unfold under more variable, ecologically-valid conditions. Accordingly, this study employed a ‘real-world’ EEG design to investigate how attentional processing varies under increasing cognitive, motor, and environmental demands. Forty-four participants were exposed to an auditory oddball task while (1) sitting in a quiet room inside the lab, (2) walking around a sports field, and (3) wayfinding across a university campus. In each condition, participants were instructed to either count or ignore oddball stimuli. While behavioral performance was similar across the lab and field conditions, oddball count accuracy was significantly reduced in the campus condition. Moreover, event-related potential components (mismatch negativity and P3) elicited in both ‘real-world’ settings differed significantly from those obtained under laboratory conditions. These findings demonstrate the impact of environmental factors on attentional processing during simultaneously-performed motor and cognitive tasks, highlighting the value of incorporating dynamic and unpredictable contexts within naturalistic designs.

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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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              The assessment and analysis of handedness: The Edinburgh inventory

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                Author and article information

                Contributors
                magnus.liebherr@gmail.com
                andrew.corcoran@monash.edu
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                16 November 2021
                16 November 2021
                2021
                : 11
                : 22325
                Affiliations
                [1 ]GRID grid.4714.6, ISNI 0000 0004 1937 0626, Department of Neuroscience, , Karolinska Institutet, ; Stockholm, Sweden
                [2 ]GRID grid.5718.b, ISNI 0000 0001 2187 5445, Department of General Psychology: Cognition, , University Duisburg-Essen, ; Duisburg, Germany
                [3 ]GRID grid.1026.5, ISNI 0000 0000 8994 5086, Cognitive and Systems Neuroscience Research Hub, , University of South Australia, ; Adelaide, Australia
                [4 ]GRID grid.1002.3, ISNI 0000 0004 1936 7857, Cognition and Philosophy Laboratory, , Monash University, ; Melbourne, Australia
                [5 ]GRID grid.1026.5, ISNI 0000 0000 8994 5086, Innovation, Implementation and Clinical Translation (IIMPACT) in Health, , University of South Australia, ; Adelaide, Australia
                [6 ]GRID grid.1014.4, ISNI 0000 0004 0367 2697, Sport, Health, Activity, Performance and Exercise Research Centre, , Flinders University, ; Adelaide, Australia
                [7 ]GRID grid.1010.0, ISNI 0000 0004 1936 7304, School of Psychology, , University of Adelaide, ; Adelaide, Australia
                Author information
                https://orcid.org/0000-0001-8580-2464
                https://orcid.org/0000-0002-0449-4883
                https://orcid.org/0000-0002-9984-5745
                https://orcid.org/0000-0002-3564-5859
                https://orcid.org/0000-0002-8512-5288
                https://orcid.org/0000-0002-4584-8641
                https://orcid.org/0000-0002-4652-0090
                https://orcid.org/0000-0001-7265-6242
                https://orcid.org/0000-0003-4131-8077
                https://orcid.org/0000-0002-3238-6492
                Article
                1772
                10.1038/s41598-021-01772-8
                8595363
                34785702
                7350acea-f8a2-40f2-9218-6161563e1b60
                © The Author(s) 2021

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 20 April 2021
                : 3 November 2021
                Funding
                Funded by: Australian Government Research Training Program
                Funded by: Australian Research Council Future Fellowship
                Award ID: FT160100437
                Award Recipient :
                Funded by: Universität Duisburg-Essen (3149)
                Categories
                Article
                Custom metadata
                © The Author(s) 2021

                Uncategorized
                psychology,human behaviour,neuroscience,attention
                Uncategorized
                psychology, human behaviour, neuroscience, attention

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