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Magnetoencephalography Characterization of Pain Anticipation in Patients with Post-Stroke Thalamic Pain

Gopalakrishnan, Raghavan
http://orcid.org/0000-0002-9038-9392
http://rave.ohiolink.edu/etdc/view?acc_num=csu1431519667

Abstract Details

2015, Doctor of Engineering, Cleveland State University, Washkewicz College of Engineering.
Chronic neuropathic pain is a debilitating disorder of the central or peripheral nervous system and estimated to affect 100 million Americans. Pain is not just physiological, but a social issue because it leads to severe disability and affects quality of life. According to pain “neuromatrix” theory, pain has significant affective and cognitive components that enhances pain experience and hence disability. The current project aims to characterize this affect component using magnetoencephalography (MEG) in patients with post-stroke thalamic pain (PSTP). For this purpose, specific experimental paradigms to evoke pain anticipation were designed along with MEG data analysis methodology. In Experiment-1, normal healthy subjects were studied to establish a standard against which patient population could be studied. Pain was conditioned using visual countdown cues. In Experiment-2, conditioning cues from visual, tactile and auditory modalities were employed to study the effect of multi-modal conditioning on pain affect in normal healthy population. In Experiment-3, PSTP patients who had stroke induced lesion in the thalamic nuclei and consequently unrelenting chronic pain on the side of the body contralateral to the lesion, were studied. Pain affect was characterized at baseline and after deep brain stimulation (DBS) treatment. Departing from conventional approach, in this project DBS of the ventral capsule was employed to modulate the affective (or anticipatory) component of pain and thereby reduce pain related disability in PSTP patients. MEG correlates of pain anticipation at both sensor and source level from each experiment is consolidated and summarized. Findings support MEG’s role as a functional biomarker to characterize neural oscillatory activity related to pain affect and anticipation.
Richard Burgess, M.D., Ph.D. (Committee Chair)
Andre Machado, M.D., Ph.D. (Advisor)
John Mosher, Ph.D. (Committee Member)
Sridhar Ungarala, Ph.D. (Committee Member)
William Davros, Ph.D. (Committee Member)
Andrew Slifkin, Ph.D. (Committee Member)
128 p.
Behavioral Psychology; Biomedical Engineering; Biomedical Research; Cognitive Psychology; Health Care; Neurosciences
Pain anticipation; Magnetoencephalography; Thalamic pain; Post-stroke pain; Visually evoked fields; Signal processing; Multimodality

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Citations

  • Gopalakrishnan, R. (2015). Magnetoencephalography Characterization of Pain Anticipation in Patients with Post-Stroke Thalamic Pain [Doctoral dissertation, Cleveland State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=csu1431519667

    APA Style (7th edition)

  • Gopalakrishnan, Raghavan. Magnetoencephalography Characterization of Pain Anticipation in Patients with Post-Stroke Thalamic Pain. 2015. Cleveland State University, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=csu1431519667.

    MLA Style (8th edition)

  • Gopalakrishnan, Raghavan. "Magnetoencephalography Characterization of Pain Anticipation in Patients with Post-Stroke Thalamic Pain." Doctoral dissertation, Cleveland State University, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=csu1431519667

    Chicago Manual of Style (17th edition)

csu1431519667
599
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This open access ETD is published by Cleveland State University and OhioLINK.