An fMRI STUDY OF NEURAL DECISION MAKING USING SUPPORT VECTOR MACHINE

Fayyaz Ahmad ()
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Fayyaz Ahmad: University of Gujrat

No 6809558, Proceedings of Business and Management Conferences from International Institute of Social and Economic Sciences

Abstract: There is an increasing trend of employing fMRI by the neuroimaging community for measuring the blood oxygenation levels towards quantifying brain activity. The experimental modality typically involves a rest and a task state during which brain activation in participants is registered during an fMRI scan. In this work, we have taken this approach and analyzed two Brodmann areas (BAs), which were our regions of interest (ROI) from the prefrontal lobe of human brain, for their role in decision making. These ROIs (BA10 and BA47) are reportedly activated during decision making. Support vector machine (SVM) was employed for classification of the activated voxels in the ROIs. Each dominant voxel was ranked on the basis of perceived pattern in the brain. Our experimental design and results can assist in decoding the decision-making neuron connectivity for applications in neuromarketing and neuroeconomics.

Keywords: activated areas; decision making; fMRI; BAs; SPM (search for similar items in EconPapers)
JEL-codes: D87 (search for similar items in EconPapers)
Pages: 13 pages
Date: 2018-10
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Published in Proceedings of the Proceedings of the 8th Business & Management Conference, Venice, Oct 2018, pages 321-333

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Persistent link: https://EconPapers.repec.org/RePEc:sek:ibmpro:6809558

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