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Quantification of track-weighted functional connectivity longitudinally during Constraint Induced Movement Therapy for poststroke hemiparesis: An application of Graph Theory

Guzman Roca, Juan Alberto
http://rave.ohiolink.edu/etdc/view?acc_num=osu1492621365041026

Abstract Details

2017, Master of Mathematical Sciences, Ohio State University, Mathematical Sciences.
A stroke is an attack that happens to the brain when the blood flow is cut off to an area in the brain. When this happens, the brain cells in that area do not receive enough oxygen and nutrients, and in consequence die. Strokes are one of the main health causes of disability in the world. But, recovery of functionality lost after a stroke has been associated with brain plasticity, i.e. the ability of the brain to compensate for the loss of functionality by reorganization of the neuronal networks. Finding how this reorganization occurs in the Sensory Motor Network is the task of this thesis. For this we used a new method called Track-weighted functional connectivity (TW-FC) which was proposed by Fernando Calamante and colleagues in 2013. TW-FC exploits the temporal relationship of brain activation to highlight the network and the diffusion of water generated in the brain using spherical deconvolution to provide information regarding the orientation of brain axons. The combined method of TW-FC has the advantage of reducing the large quantity of information contained in functional MRI and diffusion weighted functional images into summary maps with a super resolution of approximately .5 mm per voxel. The potential sensitivity that comes with this imaging approach allows us to use some mathematical techniques involving Graph Theory to study how the connections inside the brain change during the treatment.
Edward Overman (Advisor)
Alexandra Borstad (Advisor)
94 p.
Applied Mathematics; Medical Imaging; Rehabilitation
Graph Theory; Constraint Induced Movement Therapy; Post-stroke Hemiparesis

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Citations

  • Guzman Roca, J. A. (2017). Quantification of track-weighted functional connectivity longitudinally during Constraint Induced Movement Therapy for poststroke hemiparesis: An application of Graph Theory [Master's thesis, Ohio State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=osu1492621365041026

    APA Style (7th edition)

  • Guzman Roca, Juan. Quantification of track-weighted functional connectivity longitudinally during Constraint Induced Movement Therapy for poststroke hemiparesis: An application of Graph Theory. 2017. Ohio State University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=osu1492621365041026.

    MLA Style (8th edition)

  • Guzman Roca, Juan. "Quantification of track-weighted functional connectivity longitudinally during Constraint Induced Movement Therapy for poststroke hemiparesis: An application of Graph Theory." Master's thesis, Ohio State University, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=osu1492621365041026

    Chicago Manual of Style (17th edition)

osu1492621365041026
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This open access ETD is published by The Ohio State University and OhioLINK.