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A novel method for detection of voxels for decision making: An fMRI study
Author(s) -
Ahmad Fayyaz,
Hussain Attique,
Chaudhary Safee Ullah,
Ahmad Iftikhar,
Ramay Shahid M.
Publication year - 2016
Publication title -
international journal of imaging systems and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.359
H-Index - 47
eISSN - 1098-1098
pISSN - 0899-9457
DOI - 10.1002/ima.22172
Subject(s) - voxel , functional magnetic resonance imaging , computer science , artificial intelligence , pattern recognition (psychology) , cluster analysis , neuroscience , psychology
This study explores the patterns of activation in brain regions toward classifying decision making voxels from among four major Brodmann areas (BAs) upon stimulus of visual tasks. Toward this goal, a well‐known clustering analysis has been performed on real‐time data of the human brain obtained using functional magnetic resonance imaging (fMRI). The functional connectivity among various brain regions was detected by leveraging a distance correlation graph. Graphical methods have been employed to visualize the clusters elicited in the process. The analysis of the results sheds new light on how four significantly activated BAs of the brain exhibit effective connectively to perform a visual task in the context of decision making.