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The Perception of Exercisers vs Non-Exercisers Using EEG Analysis

dc.access.optionOpen Access
dc.contributor.advisorMizelle, J. C
dc.contributor.authorBoone, Paige
dc.contributor.departmentKinesiology
dc.date.accessioned2022-09-12T14:38:42Z
dc.date.available2022-09-12T14:38:42Z
dc.date.created2022-07
dc.date.issued2022-08-02
dc.date.submittedJuly 2022
dc.date.updated2022-08-30T19:22:49Z
dc.degree.departmentKinesiology
dc.degree.disciplineMS-Kinesiology
dc.degree.grantorEast Carolina University
dc.degree.levelMasters
dc.degree.nameM.S.
dc.description.abstractObesity rates and other chronic diseases continue to rise due to the lack of physical activity and exercise exerted by Americans annually. Although recommendations from the American College of Sports Medicine (ACSM) and other exercise science organizations have published numerous studies about how to keep up a healthy lifestyle, most Americans tend to not follow them. With this in mind, we wanted to know if there were any innate neurobiological differences between a population that exercises regularly and one that is sedentary. In order to evaluate this phenomenon, we used EEG analysis focusing on functional connectivity and graph theory when both groups evaluated images displaying both physically active and inactive behaviors. Our results show that exercisers and non-exercisers evaluate the concept of physical activity through very different neurocognitive mechanisms. These results have the potential to inform the way that agencies can distribute information in a more targeted fashion, hopefully reaching the broader population more effectively.
dc.format.mimetypeapplication/pdf
dc.identifier.urihttp://hdl.handle.net/10342/11114
dc.language.isoen
dc.publisherEast Carolina University
dc.subjectACSM
dc.subjectEEG analysis
dc.subject.lcshExercise tests
dc.subject.lcshSedentary people--Attitudes
dc.subject.lcshNeuropsychological tests
dc.subject.lcshNeurologic examination
dc.titleThe Perception of Exercisers vs Non-Exercisers Using EEG Analysis
dc.typeMaster's Thesis
dc.type.materialtext

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