Dynamics of brain networks during reading

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dc.contributor.advisorCox, Steven J
dc.contributor.committeeMemberDabaghian, Yuri
dc.contributor.committeeMemberKemere, Caleb
dc.contributor.committeeMemberTandon, Nitin
dc.creatorWhaley, Meagan
dc.date.accessioned2016-02-05T22:04:36Z
dc.date.available2016-02-05T22:04:36Z
dc.date.created2015-12
dc.date.issued2015-10-05
dc.date.submittedDecember 2015
dc.date.updated2016-02-05T22:04:37Z
dc.description.abstractWe recorded electrocorticographic (ECoG) data from 15 patients with intractable epilepsy during a word completion task to precisely describe the spatiotemporal brain dynamics underlying word reading. Using a novel technique of analyzing grouped ECoG, cortical regions distributed throughout the left hemisphere were identified as significantly active versus baseline during our word stem completion task. Regions of activity spread from fusiform to frontal regions, including pars opercularis, pars triangularis, and pre, post, and subcentral gyri during the time period approaching articulation onset. The ECoG data recorded from electrodes within these regions were fit into linear multivariate autoregressive models, which precisely reveal the time, frequency, and magnitude of information flow between localized brain regions. Grouped network dynamics were quantified with two metrics of evaluating statistical significance of post-stimulus interactions compared to baseline. Results from both methods reveal bidirectional exchanges between frontal regions with fusiform, supporting theories which incorporate top-down and bottom-up processing during single word reading.
dc.format.mimetypeapplication/pdf
dc.identifier.citationWhaley, Meagan. "Dynamics of brain networks during reading." (2015) Diss., Rice University. <a href="https://hdl.handle.net/1911/88427">https://hdl.handle.net/1911/88427</a>.
dc.identifier.urihttps://hdl.handle.net/1911/88427
dc.language.isoeng
dc.rightsCopyright is held by the author, unless otherwise indicated. Permission to reuse, publish, or reproduce the work beyond the bounds of fair use or other exemptions to copyright law must be obtained from the copyright holder.
dc.subjectelectrophysiology
dc.subjectmultivariate autoregressive models
dc.subjecteffective connectivity
dc.titleDynamics of brain networks during reading
dc.typeThesis
dc.type.materialText
thesis.degree.departmentComputational and Applied Mathematics
thesis.degree.disciplineEngineering
thesis.degree.grantorRice University
thesis.degree.levelDoctoral
thesis.degree.nameDoctor of Philosophy
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