Meta-analysis of fMRI for emotional and cognitive states shows hierarchical invariant optimization in brain

Pattanayak, Anindya, Dutta, Tanusree, Pranjal, Piyush, Singh, Pushpendra, Sahoo, Pathik, Sarkar, Soumya and Bandyopadhyay, Anirban (2022) Meta-analysis of fMRI for emotional and cognitive states shows hierarchical invariant optimization in brain. In: International Conference on Trends in Electronics and Health Informatics (TEHI 2021), 16–17 December 2021, Department of Electronics and Communication Engineering and Department of Computer Science and Engineering, Pranveer Singh Institute of Technology Kanpur, India.

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Abstract

The brain’s cognitive operation for emotion and perception is captured by fMRI images, which activates or deactivates different functional regions in synchronization with the human thoughts and expressions of emotional states. These synchronized pairs of emotional states and images of activated brain regions of interest (ROI) are called functional images. These images are not useful until we couple the brain’s anatomical map or brain atlases with the ROI images. The coupling of two maps is called normalization, here we used both MNI and Talairach standards. Then, we investigated five ROI domains of behavioral response shifts, e.g., Action, Cognition, Emotion, Interoception, and Perception to find spatial jumps, periodic jumps between spaces, or multiple ROIs to find invariant geometric shapes. Each brain function has a specific set of geometric shapes that remain invariant in a 3D orientation, invariants are subject independent, correlate brain behavior and functions with comparative geometric shapes. Our finding paves the way to integrate spatio-temporal dynamics of hierarchically connected behavioral responses.

Item Type: Conference or Workshop Item (Paper)
Keywords: Human brain | Meta-analysis | Region of Interest ROI | Action | Cognition | Perception | fMRI | Human subject
Subjects: Social Sciences and humanities > Psychology > Neuropsychology Psychology
JGU School/Centre: Jindal Global Law School
Depositing User: Mr. Syed Anas
Date Deposited: 03 Apr 2022 12:04
Last Modified: 15 Nov 2022 11:24
Official URL: https://doi.org/10.1007/978-981-16-8826-3_23
Funders: Asian office of Aerospace R&D (AOARD), United States Air Force, United States of America, MHRD, Government of India, India
Additional Information: We thank Dave Sonntag and Martin Timms for the independent test and verification of our device as part of patent US9019685B2
URI: https://pure.jgu.edu.in/id/eprint/2085

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