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

Bibliographic Details
Main Author: Guzman Roca, Juan Alberto
Language:English
Published: The Ohio State University / OhioLINK 2017
Subjects:
Online Access:http://rave.ohiolink.edu/etdc/view?acc_num=osu1492621365041026
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spelling ndltd-OhioLink-oai-etd.ohiolink.edu-osu14926213650410262021-08-03T07:01:56Z Quantification of track-weighted functional connectivity longitudinally during Constraint Induced Movement Therapy for poststroke hemiparesis: An application of Graph Theory Guzman Roca, Juan Alberto Applied Mathematics Medical Imaging Rehabilitation Graph Theory Constraint Induced Movement Therapy Post-stroke Hemiparesis A stroke is an attack that happens to the brain when the blood flow is cut offto an area in the brain. When this happens, the brain cells in that area do notreceive enough oxygen and nutrients, and in consequence die. Strokes are one ofthe main health causes of disability in the world. But, recovery of functionalitylost after a stroke has been associated with brain plasticity, i.e. the ability of thebrain to compensate for the loss of functionality by reorganization of the neuronalnetworks. Finding how this reorganization occurs in the Sensory Motor Networkis the task of this thesis. For this we used a new method called Track-weightedfunctional connectivity (TW-FC) which was proposed by Fernando Calamante andcolleagues in 2013. TW-FC exploits the temporal relationship of brain activation tohighlight the network and the diffusion of water generated in the brain using sphericaldeconvolution to provide information regarding the orientation of brain axons. Thecombined method of TW-FC has the advantage of reducing the large quantity ofinformation contained in functional MRI and diffusion weighted functional imagesinto summary maps with a super resolution of approximately .5 mm per voxel. Thepotential sensitivity that comes with this imaging approach allows us to use somemathematical techniques involving Graph Theory to study how the connections insidethe brain change during the treatment. 2017-08-11 English text The Ohio State University / OhioLINK http://rave.ohiolink.edu/etdc/view?acc_num=osu1492621365041026 http://rave.ohiolink.edu/etdc/view?acc_num=osu1492621365041026 unrestricted This thesis or dissertation is protected by copyright: all rights reserved. It may not be copied or redistributed beyond the terms of applicable copyright laws.
collection NDLTD
language English
sources NDLTD
topic Applied Mathematics
Medical Imaging
Rehabilitation
Graph Theory
Constraint Induced Movement Therapy
Post-stroke Hemiparesis
spellingShingle Applied Mathematics
Medical Imaging
Rehabilitation
Graph Theory
Constraint Induced Movement Therapy
Post-stroke Hemiparesis
Guzman Roca, Juan Alberto
Quantification of track-weighted functional connectivity longitudinally during Constraint Induced Movement Therapy for poststroke hemiparesis: An application of Graph Theory
author Guzman Roca, Juan Alberto
author_facet Guzman Roca, Juan Alberto
author_sort Guzman Roca, Juan Alberto
title Quantification of track-weighted functional connectivity longitudinally during Constraint Induced Movement Therapy for poststroke hemiparesis: An application of Graph Theory
title_short Quantification of track-weighted functional connectivity longitudinally during Constraint Induced Movement Therapy for poststroke hemiparesis: An application of Graph Theory
title_full Quantification of track-weighted functional connectivity longitudinally during Constraint Induced Movement Therapy for poststroke hemiparesis: An application of Graph Theory
title_fullStr Quantification of track-weighted functional connectivity longitudinally during Constraint Induced Movement Therapy for poststroke hemiparesis: An application of Graph Theory
title_full_unstemmed Quantification of track-weighted functional connectivity longitudinally during Constraint Induced Movement Therapy for poststroke hemiparesis: An application of Graph Theory
title_sort quantification of track-weighted functional connectivity longitudinally during constraint induced movement therapy for poststroke hemiparesis: an application of graph theory
publisher The Ohio State University / OhioLINK
publishDate 2017
url http://rave.ohiolink.edu/etdc/view?acc_num=osu1492621365041026
work_keys_str_mv AT guzmanrocajuanalberto quantificationoftrackweightedfunctionalconnectivitylongitudinallyduringconstraintinducedmovementtherapyforpoststrokehemiparesisanapplicationofgraphtheory
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