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dc.contributor.authorWheaton, Lewis A.
dc.contributor.authorLawson, Regan R.
dc.contributor.authorGayle, Jordan O.
dc.date.accessioned2017-04-06T14:17:23Z
dc.date.available2017-04-06T14:17:23Z
dc.date.issued2017-03-26
dc.identifier.urihttp://hdl.handle.net/1853/56607
dc.descriptionThe attached data files underlie the forthcoming PlosONE publication "Novel behavioral indicator of explicit awareness reveals temporal course of frontoparietal neural network facilitation during motor learning."en_US
dc.descriptionData file includes Excel spreadsheets of MATLAB arrays of EEG data and behavioral responses. Both EEG and behavioral data are separated by subject, blocks of behavior, channels and time. The files have been zipped together and will need to be unzipped before using. See the README file for more information.
dc.description.abstractDeficits in sequential motor learning have been observed in many patient populations. Having an understanding of the individual neural progression associated with sequential learning in healthy individuals may provide valuable insights for effective interventions with these patients. Due to individual variability in motor skill acquisition, the temporal course of such learning will be vary, suggesting a need for a more individualized approach. Knowing when a subject becomes aware of movement patterns may provide a marker with which to identify each individual's learning time course. To avoid interfering with the incidental nature of discovery during learning, such an indicator requires an indirect, behaviorally-based approach. In Part I, our study aimed to identify a reliable behavioral indicator predictive of the presence of incidental explicit awareness in a sequential motor learning task. Part II, utilized the predictive indicator and EEG to provide neural validation of perceptual processing changes temporally correlated with the indicator. Results of Part I provide a reliable predictive indicator for the timing of explicit awareness development. Results from Part II demonstrates strong classification reliability, as well as a significant neural correlation with behavior for subjects developing awareness (EXP), not observed with subjects without awareness (NOEXP). Additionally, a temporal correlation of peak activation between neural regions was noted over frontoparietal regions, suggesting that the incidental discovery of motor patterns may involve a facilitative network during awareness development. The proposed indicator provides a tool in which to further examine potential impacts of awareness associated with incidental, or exploratory, motor learning, while the individual nature of the indicator provides a tool for monitoring progress in rehabilitative, exploratory motor learning paradigms.en_US
dc.description.sponsorshipNIH Training Fellowship NICHD 5T32HD055180en_US
dc.language.isoen_USen_US
dc.publisherGeorgia Institute of Technologyen_US
dc.rightsThis work is licensed under a Creative Commons Attribution 4.0 International License.en_US
dc.rightsAttribution 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/us/*
dc.subjectEEGen_US
dc.subjectMotor learningen_US
dc.subjectExplicit awarenessen_US
dc.subjectFacilitative learning networken_US
dc.titleNeurobehavioral data for novel behavioral indicator of explicit awareness dataseten_US
dc.typeDataseten_US
dc.contributor.corporatenameGeorgia Institute of Technology. School of Biologyen_US
dc.contributor.corporatenameMorehouse College. Department of Psychology


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