Visualization of the Dynamic Brain Activation Pattern during a Decision-Making Task.

ABSTRACT: Decision making is a complex process involving various parts of the brain which are active during different times. It is challenging to measure externally the exact instant when any given region becomes active during the decision-making process. Here, we propose the development and validation of an algorithm to extract and visualize the dynamic functional brain activation information from the observed fMRI data. We propose the use of a regularized deconvolution model to simultaneously map various activation regions within the brain and track how different activation regions changes with time, thus providing both spatial and temporal brain activation information. The proposed technique was validated using simulated data and then applied to a simple decision-making task for identification of

SUBMITTER: Parmar H 

PROVIDER: S-EPMC9688554 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature