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Socrates_Thesis_ETD_Submission.pdf (4.39 MB)

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Neuro-Integrative Connectivity: A Scientific Workflow-Based Neuroinformatics Platform For Brain Network Connectivity Studies Using EEG Data

Socrates, Vimig
http://orcid.org/0000-0001-7955-9875
http://rave.ohiolink.edu/etdc/view?acc_num=case1561655750151063

Abstract Details

2019, Master of Sciences, Case Western Reserve University, EECS - Computer and Information Sciences.
Epilepsy patients refractory to anti-epileptic medication are considered for surgery to disrupt the epileptogenic zone (EZ), integral to seizure signal generation. Accurate EZ characterization remains a challenge, leading to development of graph-theoretical analysis of brain connectivity using Stereotactic Electroencephalogram (SEEG) data. We describe a neuroinformatics tool called Neuro-Integrative Connectivity (NIC) workflow platform for large-scale EEG data analysis with applications in patient cohort studies. NIC is built on a scientific workflow system (Taverna) to support signal data processing, computation of signal coupling measures, and computation of global and local network analysis metrics. NIC captures provenance metadata to support scientific reproducibility. We performed a systematic evaluation of the platform using data from 5 patients and a task-based usability evaluation with 5 target users. Our results show that NIC is a scalable and intuitive tool for large-scale analysis of functional brain connectivity networks that can provide insights into epilepsy and related neurological disorders.
Satya Sahoo (Committee Chair)
Chris Fietkiewicz (Committee Member)
Mehmet Koyuturk (Committee Member)
Guadalupe Fernandez-BacaVaca (Committee Member)
79 p.
Bioinformatics; Biomedical Research; Computer Science; Health Care; Information Science; Medicine; Neurology
Electroencephalography; Scientific Workflow; Provenance; User-Computer Interface; epilepsy; Brain Connectivity; European Data Format

Recommended Citations

Citations

  • Socrates, V. (2019). Neuro-Integrative Connectivity: A Scientific Workflow-Based Neuroinformatics Platform For Brain Network Connectivity Studies Using EEG Data [Master's thesis, Case Western Reserve University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=case1561655750151063

    APA Style (7th edition)

  • Socrates, Vimig. Neuro-Integrative Connectivity: A Scientific Workflow-Based Neuroinformatics Platform For Brain Network Connectivity Studies Using EEG Data. 2019. Case Western Reserve University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=case1561655750151063.

    MLA Style (8th edition)

  • Socrates, Vimig. "Neuro-Integrative Connectivity: A Scientific Workflow-Based Neuroinformatics Platform For Brain Network Connectivity Studies Using EEG Data." Master's thesis, Case Western Reserve University, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=case1561655750151063

    Chicago Manual of Style (17th edition)

case1561655750151063
248
© 2019, some rights reserved.Creative Commons License Neuro-Integrative Connectivity: A Scientific Workflow-Based Neuroinformatics Platform For Brain Network Connectivity Studies Using EEG Data by Vimig Socrates is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License. Based on a work at etd.ohiolink.edu.
This open access ETD is published by Case Western Reserve University School of Graduate Studies and OhioLINK.