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      Premovement high‐alpha power is modulated by previous movement errors: Indirect evidence to endorse high‐alpha power as a marker of resource allocation during motor programming

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          Abstract

          Previous electroencephalographic studies have identified premovement high‐alpha power as a predictor of movement accuracy; less frontal‐central high‐alpha power is associated with accurate movements (e.g., holed golf putts), and could reflect more cognitive resources being allocated to response programming. The present experiment tested this interpretation. Ten expert and ten novice golfers completed 120 putts while high‐alpha power was recorded and analyzed as a function of whether the previous putt was holed (i.e., a correct response) or missed (i.e., an error). Existing evidence indicates that more resources are allocated to response programming following errors. We observed less premovement high‐alpha power following errors, especially in experts. Our findings provide indirect evidence that high‐alpha power is an inverse marker of the amount of resources allocated to motor response programming.

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          ADJUST: An automatic EEG artifact detector based on the joint use of spatial and temporal features.

          Abstract A successful method for removing artifacts from electroencephalogram (EEG) recordings is Independent Component Analysis (ICA), but its implementation remains largely user-dependent. Here, we propose a completely automatic algorithm (ADJUST) that identifies artifacted independent components by combining stereotyped artifact-specific spatial and temporal features. Features were optimized to capture blinks, eye movements, and generic discontinuities on a feature selection dataset. Validation on a totally different EEG dataset shows that (1) ADJUST's classification of independent components largely matches a manual one by experts (agreement on 95.2% of the data variance), and (2) Removal of the artifacted components detected by ADJUST leads to neat reconstruction of visual and auditory event-related potentials from heavily artifacted data. These results demonstrate that ADJUST provides a fast, efficient, and automatic way to use ICA for artifact removal.
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            Event-related synchronization (ERS): an electrophysiological correlate of cortical areas at rest.

            Oscillations in the alpha and beta bands can display either an event-related blocking response or an event-related amplitude enhancement. The former is named event-related desynchronization (ERD) and the latter event-related synchronization (ERS). Examples of ERS are localized alpha enhancements in the awake state as well as sigma spindles in sleep and alpha or beta bursts in the comatose state. It was found that alpha band activity can be enhanced over the visual region during a motor task, or during a visual task over the sensorimotor region. This means ERD and ERS can be observed at nearly the same time; both form a spatiotemporal pattern, in which the localization of ERD characterizes cortical areas involved in task-relevant processing, and ERS marks cortical areas at rest or in an idling state.
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              The continuing problem of false positives in repeated measures ANOVA in psychophysiology: a multivariate solution.

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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
                12 February 2015
                July 2015
                : 52
                : 7 ( doiID: 10.1111/psyp.2015.52.issue-7 )
                : 977-981
                Affiliations
                [ 1 ] School of Sport, Health & Exercise SciencesBangor University BangorUK
                [ 2 ] School of Sport, Exercise & Rehabilitation SciencesUniversity of Birmingham BirminghamUK
                Author notes
                [*] [* ]Address correspondence to: Andrew Cooke, School of Sport, Health & Exercise Sciences, George Building, Bangor University, Holyhead Road, Bangor, Gwynedd, UK LL57 2PZ. E‐mail: a.m.cooke@ 123456bangor.ac.uk
                Article
                PSYP12414
                10.1111/psyp.12414
                4975603
                25684215
                8381754d-ce5c-47ad-a276-0b7c588355f3
                © 2015 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
                : 23 July 2014
                : 20 December 2014
                Page count
                Pages: 5
                Funding
                Funded by: Economic and Social Research Council
                Award ID: PTA‐026‐27‐2696
                Categories
                Brief Report
                Brief Reports
                Custom metadata
                2.0
                psyp12414
                July 2015
                Converter:WILEY_ML3GV2_TO_NLMPMC version:4.9.4 mode:remove_FC converted:10.08.2016

                Neurology
                eeg/erp,error processing,motor control,golf,reinvestment theory
                Neurology
                eeg/erp, error processing, motor control, golf, reinvestment theory

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