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dc.contributor.advisorAllen, Johnen
dc.contributor.authorGhamsari, Farid
dc.creatorGhamsari, Fariden
dc.date.accessioned2017-07-27T21:54:17Z
dc.date.available2017-07-27T21:54:17Z
dc.date.issued2017
dc.identifier.citationGhamsari, Farid. (2017). An Analysis of the Covarianec of Two Endophenotypic Markers for Depression: Respiratory Sinus Arrhythmia and Frontal EEG Asymmetry (Bachelor's thesis, University of Arizona, Tucson, USA).
dc.identifier.urihttp://hdl.handle.net/10150/624993
dc.description.abstractIn this study, I examined how two psychophysiological metrics that have both independently been implicated in depression co-vary with one another within individuals over time: frontal EEG asymmetry and respiratory sinus arrhythmia (RSA). I hypothesized that, within subjects, short epochs of higher RSA, normally indicating low depressive status, would correlate with higher scores on frontal EEG asymmetry, reflecting greater relative left frontal activity like that seen among those with low depressive status. No statistically significant relationship between the two metrics was observed. Future work might investigate whether changes in one system would lead to changes in the other, as only simultaneous changes were examined in the present study.
dc.language.isoen_USen
dc.publisherThe University of Arizona.en
dc.rightsCopyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.en
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/
dc.titleAn Analysis of the Covarianec of Two Endophenotypic Markers for Depression: Respiratory Sinus Arrhythmia and Frontal EEG Asymmetryen_US
dc.typetexten
dc.typeElectronic Thesisen
thesis.degree.grantorUniversity of Arizonaen
thesis.degree.levelbachelorsen
thesis.degree.disciplineHonors Collegeen
thesis.degree.disciplineNeuroscience and Cognitive Scienceen
thesis.degree.nameB.S.en
refterms.dateFOA2018-09-11T21:51:10Z
html.description.abstractIn this study, I examined how two psychophysiological metrics that have both independently been implicated in depression co-vary with one another within individuals over time: frontal EEG asymmetry and respiratory sinus arrhythmia (RSA). I hypothesized that, within subjects, short epochs of higher RSA, normally indicating low depressive status, would correlate with higher scores on frontal EEG asymmetry, reflecting greater relative left frontal activity like that seen among those with low depressive status. No statistically significant relationship between the two metrics was observed. Future work might investigate whether changes in one system would lead to changes in the other, as only simultaneous changes were examined in the present study.


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