Home WakeSpace Scholarship › Electronic Theses and Dissertations

Functional Localization of Brain Activity in the Iowa Gambling Task Using Graph-Theoretical Methods

Electronic Theses and Dissertations

Item Files

Item Details

title
Functional Localization of Brain Activity in the Iowa Gambling Task Using Graph-Theoretical Methods
author
Bolt, Taylor Sullivan
abstract
Functional connectivity methods, particularly graph-theory methods, are an area of growing interest for researchers interested in network-based neuroimaging approaches. This study attempted to offer another useful extension of graph-theoretical approaches to functional neuroimaging. In particular, the neuroimaging study of the Iowa Gambling Task (IGT). Several task-related brain regions have been found during IGT performance using standard subtraction-based neuroimaging paradigms. However, the identification of a proper baseline for the IGT has complicated the study of task-related activations in the IGT. In this study, two graph-theory methods are offered as an alternative method of functional localization without traditional subtraction assumptions. These methods rely on the consistency of functional groupings of brain areas across time to identify areas in the brain specialized for particular cognitive functions, without the need for a baseline comparison. They are applied to a within-subject fMRI data set consisting of 8 healthy young adults at rest, and performing the IGT and a simple spatial-orienting task. Both methods localized areas in the visual and sensorimotor cortices. Unexpectedly, the Scaled Inclusivity method localized areas of the DMN across both task states in addition to rest. However, permutation tests of the SI maps revealed significant differences in the spatial extent of DMN consistency across all three tasks. The future application of both methods for functional localization, and the functional significance of the DMN during the IGT and other task-states are discussed.
subject
Default-mode network
Graph Theory
Iowa Gambling Task
Network science
Scaled Inclusivity
Subtraction
contributor
Dagenbach, Dale (committee chair)
Waugh, Christian (committee member)
Pratt, Wayne (committee member)
Laurienti, Paul (committee member)
date
2015-06-23T08:35:59Z (accessioned)
2015-06-23T08:35:59Z (available)
2015 (issued)
degree
Psychology (discipline)
identifier
http://hdl.handle.net/10339/57181 (uri)
language
en (iso)
publisher
Wake Forest University
type
Thesis

Usage Statistics