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Resource allocation of the human brain : a competitive equilibrium approach

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Please use this identifier to cite or link to this item: http://hdl.handle.net/1928/10289

Resource allocation of the human brain : a competitive equilibrium approach

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dc.contributor.author Franco, Alexandre Rosa, 1981-
dc.date.accessioned 2010-02-09T20:38:25Z
dc.date.available 2010-02-09T20:38:25Z
dc.date.issued 2010-02-09T20:38:25Z
dc.date.submitted December 2009
dc.identifier.uri http://hdl.handle.net/1928/10289
dc.description.abstract A novel model to study the resource allocation of a functioning brain is proposed. The mechanism is based on the theory of competitive equilibrium (CE), where users (cortical areas of the brain) are competing for a finite resource such as oxygenated blood. Concepts of CE are mathematically adjusted to be used with functional magnetic resonance imaging (FMRI) data. The current study uses imaging data were subjects are requested to selectively attend and respond to either a visual or auditory metronome in the presence of asynchronous cross-modal distractors. Two studies with distinct patient populations (patients with schizophrenia patients with mild traumatic brain injuries) are used to asses the applicability of the proposed method. Comparisons to traditionally used methods to analyze simulated and real FMRI data are also provided. Results indicate that it is possible to mathematically formulate an underlying resource allocation mechanism of a human brain. Additionally, when comparing to traditional analysis methods, the proposed model increases the sensitivity of these data when examining different stimuli conditions and also increases the classification accuracy between the patient group versus normal controls. en_US
dc.description.sponsorship The Mind Research Network DOE Grant No. DE-FG02-99ER62764, NIH Grant No. 1 R03 DA022435, and NIH grant No. R21NS064464 en_US
dc.language.iso en_US en_US
dc.subject Brain en_US
dc.subject Competitive Equilibrium en_US
dc.subject FMRI en_US
dc.subject Resource Allocation en_US
dc.subject.lcsh Brain--Localization of functions.
dc.subject.lcsh Brain--Magnetic resonance imaging.
dc.title Resource allocation of the human brain : a competitive equilibrium approach en_US
dc.type Dissertation en_US
dc.description.degree Electrical Engineering en_US
dc.description.level Doctoral en_US
dc.description.department University of New Mexico. Dept. of Electrical and Computer Engineering en_US
dc.description.advisor Heileman, Gregory, L.
dc.description.committee-member Mayer, Andrew, R.
dc.description.committee-member Calhoun, Vincent D.
dc.description.committee-member Abdallah, Chaouki T.


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