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Investigation of Discrepancies in Brain Effective Connectivity Between Healthy Control and Epileptic Patient Groups: A Resting-State fMRI Study

Mahalingam, Neeraja
http://rave.ohiolink.edu/etdc/view?acc_num=ucin1554120756031863

Abstract Details

2019, MS, University of Cincinnati, Engineering and Applied Science: Biomedical Engineering.
Epilepsy is a neurological disorder marked by recurrent unprovoked seizures, these being typically characterized by self-limited episodes of neurological dysfunction such as confusion, aphasia or loss of sensorimotor and motor functioning. There are many hypothesized causes to both the epilepsy and the seizures, e.g., abnormal electrical function, neuronal circuits and/or biochemical imbalances in the brain, all of which are coincidental with abnormal neuronal communication. Although heavily investigated, human epilepsy remains complicated to understand, due to the difficulty of defining the seizure origin and its propagation network within the brain, which may differ between different patients and within a single patient itself. As a method that has been recently developed to evaluate how brain regions interact, “brain network connectivity” (BNC) may be able to help understand the nature of the seizure propagation network in patients with epilepsy. Effective connectivity is a measurable parameter of BNC that infers the causality and directionality of connections between a set of regions of interest (ROIs).
Jing-Huei Lee, Ph.D. (Committee Chair)
T. Douglas Mast, Ph.D. (Committee Member)
Marepalli Rao, Ph.D. (Committee Member)
104 p.
Biomedical Research
Effective connectivity; Dynamic Causal Modeling; Resting-state fMRI; Epilepsy

Recommended Citations

Citations

  • Mahalingam, N. (2019). Investigation of Discrepancies in Brain Effective Connectivity Between Healthy Control and Epileptic Patient Groups: A Resting-State fMRI Study [Master's thesis, University of Cincinnati]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1554120756031863

    APA Style (7th edition)

  • Mahalingam, Neeraja. Investigation of Discrepancies in Brain Effective Connectivity Between Healthy Control and Epileptic Patient Groups: A Resting-State fMRI Study. 2019. University of Cincinnati, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=ucin1554120756031863.

    MLA Style (8th edition)

  • Mahalingam, Neeraja. "Investigation of Discrepancies in Brain Effective Connectivity Between Healthy Control and Epileptic Patient Groups: A Resting-State fMRI Study." Master's thesis, University of Cincinnati, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1554120756031863

    Chicago Manual of Style (17th edition)

ucin1554120756031863
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This open access ETD is published by University of Cincinnati and OhioLINK.