Neural Mechanisms of Transsaccadic Integration of Visual Features

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dc.contributor.advisorCrawford, John Douglas
dc.creatorBaltaretu, Bianca-Ruxandra
dc.date.accessioned2016-09-20T16:57:05Z
dc.date.available2016-09-20T16:57:05Z
dc.date.copyright2016-01-28
dc.date.issued2016-09-20
dc.date.updated2016-09-20T16:57:05Z
dc.degree.disciplineBiology
dc.degree.levelMaster's
dc.degree.nameMSc - Master of Science
dc.description.abstractThis thesis explores the neural mechanisms of transsaccadic integration of visual features. In the study, I investigated the cortical correlates of transsaccadic integration of object orientation in multiple reference frames. In a functional MRI adaptation (fMRIa) paradigm, participants viewed sets of two orientation stimuli in each trial and were asked to indicate if the orientations were the same (Repeat condition) or different (Novel condition). Stimuli were presented in one of three spatial conditions: 1) space-fixed, 2) retina-fixed and 3) frame-independent. Results indicate that, in addition to common activation in frontal motor cortical regions in all three spatial conditions, parietal and occipitotemporal regions are active in the space-fixed condition, parietofrontal regions are active in the retina-fixed condition, and parietofrontal and occipitotemporal regions are active in the frame-independent condition. In conclusion, these results indicate that transsaccadic integration involves differential activation of cortical areas, depending on the frame of reference.
dc.identifier.urihttp://hdl.handle.net/10315/32259
dc.language.isoen
dc.rightsAuthor owns copyright, except where explicitly noted. Please contact the author directly with licensing requests.
dc.subjectNeurosciences
dc.subject.keywordsTranssaccadic integration
dc.subject.keywordsLow-level visual features
dc.subject.keywordsOrientation
dc.subject.keywordsReference frames
dc.subject.keywordsfMRIa
dc.subject.keywordsParietofrontal
dc.subject.keywordsOccipitotemporal
dc.titleNeural Mechanisms of Transsaccadic Integration of Visual Features
dc.typeElectronic Thesis or Dissertation

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