Abstract
dc:description.abstractParkinson’s disease has been characterized as a “disconnection syndrome” reflecting the disruption of neural pathways. Network science analyses provide a promising way of further analyzing this characterization given the rich data they provide about the interrelationships between brain areas. In this study, network science graph theory based analyses were performed using the resting state data from 14 individuals with Parkinson’s disease.
Degree
thesis:*- Grantor dc:publisher
- Wake Forest University
- Year dc:date.issued
- 2016
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Hesse, Jared Grant
Subjects
dc:subject × 1Rights
- Language dc:language.iso
- en
Identifiers
dc:identifier.*- Handle dc:identifier.uri
- http://hdl.handle.net/10339/59297
- OAI identifier oai:identifier
- oai:wakespace.lib.wfu.edu:10339/59297