Applying the Short-Time Direct Directed Transfer Function to Human Electrocorticographic Recordings from a Language Task

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dc.contributor.advisorCox, Steven J.en_US
dc.contributor.committeeMemberEmbree, Marken_US
dc.contributor.committeeMemberTandon, Nitinen_US
dc.contributor.committeeMemberDabaghian, Yurien_US
dc.creatorWhaley, Meaganen_US
dc.date.accessioned2013-06-28T13:27:20Zen_US
dc.date.accessioned2013-06-28T13:27:23Zen_US
dc.date.available2013-06-28T13:27:20Zen_US
dc.date.available2013-06-28T13:27:23Zen_US
dc.date.created2012-12en_US
dc.date.issued2013-06-28en_US
dc.date.submittedDecember 2012en_US
dc.date.updated2013-06-28T13:27:23Zen_US
dc.description.abstractThis thesis applied the short-time direct directed transfer function (SdDTF) to time series data recordings from intracranial electrodes that measure the brain's electrical activity to determine the causal influences that occurred between brain regions during a speech production task. The combination of high temporal and spatial resolution of the electrocorticography (ECoG) recordings directly from the cortex render these measurements of brain activity desirable, particularly when analyzing the fine cognitive dynamics involved in word generation. This research applied a new method to characterize the SdDTF results by compressing across time and high gamma frequencies, generating adjacency matrices, and graphing them to visualize the influences between anatomical regions over the duration of the entire task. This consolidated SdDTF analysis technique allowed for data from a total of seven patients to be combined, generating results which were consistent with current speech production models. The results from this thesis contribute to the expansion of language research by identifying areas relevant to word generation, providing information that will help surgeons avoid irreparable damage to crucial cortex during brain surgery.en_US
dc.format.mimetypeapplication/pdfen_US
dc.identifier.citationWhaley, Meagan. "Applying the Short-Time Direct Directed Transfer Function to Human Electrocorticographic Recordings from a Language Task." (2013) Master’s Thesis, Rice University. <a href="https://hdl.handle.net/1911/71483">https://hdl.handle.net/1911/71483</a>.en_US
dc.identifier.slug123456789/ETD-2012-12-289en_US
dc.identifier.urihttps://hdl.handle.net/1911/71483en_US
dc.language.isoengen_US
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.en_US
dc.subjectTime series analysisen_US
dc.subjectElectrocorticographyen_US
dc.subjectLanguageen_US
dc.subjectGranger causalityen_US
dc.subjectHigh gamma frequencyen_US
dc.titleApplying the Short-Time Direct Directed Transfer Function to Human Electrocorticographic Recordings from a Language Tasken_US
dc.typeThesisen_US
dc.type.materialTexten_US
thesis.degree.departmentComputational and Applied Mathematicsen_US
thesis.degree.disciplineEngineeringen_US
thesis.degree.grantorRice Universityen_US
thesis.degree.levelMastersen_US
thesis.degree.nameMaster of Artsen_US
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