Network theory analysis of ethanol self-administering nonhuman primates

Since the late 20th century, network science has gained popularity in various fields, including the field of neuroimaging. Network science utilizes concepts of graph theory to model systems as complex networks. This approach is appealing to neuroscientists as it allows for a systems level investigation of the brain. While studies of human brain networks continue to mature, there is a need to extend this methodology to animal models, particularly nonhuman primates (NHPs). NHPs are considered a powerful translational tool that bridge basic science and clinical studies. They are also useful because the morphology of their cerebral cortex is similar to humans. In this work, a network processing pipeline was developed to build brain networks from NHP neuroimaging data. This model was designed to investigate the impact of long-term alcohol abuse in NHPs. Additionally, this work sought to understand what network analysis methods were the most informative for analyzing brain networks.

Grantor dc:publisher

Wake Forest University

Year dc:date.issued

2013

Author dc:creator

• Telesford, Qawi Kevin

• alcoholism

Language dc:language.iso

en

Handle dc:identifier.uri

http://hdl.handle.net/10339/39127

OAI identifier oai:identifier

oai:wakespace.lib.wfu.edu:10339/39127