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HeenaManglani_MastersThesis.pdf (1.86 MB)

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A neural network analysis of sedentary behavior and information processing speed in multiple sclerosis

Manglani, Heena R
http://orcid.org/0000-0001-8078-6389
http://rave.ohiolink.edu/etdc/view?acc_num=osu15253688510945

Abstract Details

2018, Master of Arts, Ohio State University, Psychology.
People with multiple sclerosis (PwMS) experience deficits in information processing speed, which underlie higher-level cognitive difficulties and negatively impact activities of daily living. While considerable research on physical activity indicates its benefits on cognitive health, there is growing evidence that sedentary behavior, or sitting, may be detrimental to health independent of engagement in moderate-to-vigorous physical activity (MVPA). As greater sitting is linked to increased risk for several adverse clinical conditions, it may also be associated with poorer cognitive function. One mechanism by which sitting time may influence speed of information processing is through its influence on neural network functioning. The current study elucidated the relationship between sedentary behavior, processing speed, and global information transfer in neural networks in a sample with relapsing-remitting multiple sclerosis. We found a negative association between sedentary behavior and processing speed while controlling for MVPA, and covariates. We did not find global efficiency to be associated with sedentary behavior, processing speed, or mediate the relationship between sedentary behavior and processing speed, while holding constant MVPA, disease severity, and additional covariates. This research offers support for sedentary behavior as an important and viable target for intervention, and establishes the groundwork for further probing of neural network function in PwMS.
Ruchika Prakash, Ph.D. (Advisor)
Charles Emery, Ph.D. (Committee Member)
John Corrigan, Ph.D. (Committee Member)
101 p.
Clinical Psychology; Neurosciences; Psychology
Sedentary Behavior; Information Processing Speed; Physical Activity; Multiple Sclerosis; Graph Theory; Cognition; Global Efficiency

Recommended Citations

Citations

  • Manglani, H. R. (2018). A neural network analysis of sedentary behavior and information processing speed in multiple sclerosis [Master's thesis, Ohio State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=osu15253688510945

    APA Style (7th edition)

  • Manglani, Heena. A neural network analysis of sedentary behavior and information processing speed in multiple sclerosis. 2018. Ohio State University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=osu15253688510945.

    MLA Style (8th edition)

  • Manglani, Heena. "A neural network analysis of sedentary behavior and information processing speed in multiple sclerosis." Master's thesis, Ohio State University, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=osu15253688510945

    Chicago Manual of Style (17th edition)

osu15253688510945
164
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This open access ETD is published by The Ohio State University and OhioLINK.