Depthgram: Visualizing outliers in high-dimensional functional data with application to fMRI data exploration.

ABSTRACT: Functional magnetic resonance imaging (fMRI) is a non-invasive technique that facilitates the study of brain activity by measuring changes in blood flow. Brain activity signals can be recorded during the alternate performance of given tasks, that is, task fMRI (tfMRI), or during resting-state, that is, resting-state fMRI (rsfMRI), as a measure of baseline brain activity. This contributes to the understanding of how the human brain is organized in functionally distinct subdivisions. fMRI experiments from high-resolution scans provide hundred of thousands of longitudinal signals for each individual, corresponding to brain activity measurements over each voxel of the brain along the duration of the experiment. In this context, we propose novel visualization techniques for high-dimensional fun

SUBMITTER: Aleman-Gomez Y 

PROVIDER: S-EPMC9305951 | biostudies-literature | 2022 May

REPOSITORIES: biostudies-literature