Supercomputing the Brain: A Computational Pipeline For Lateralization Analysis

Authors

• David B. Grigg, Brigham Young University - ProvoFollow
• Laetner Fischbeck, Brigham Young University - ProvoFollow
• Adam Fox, Brigham Young University - ProvoFollow
• Madeline Peterson, Utah Valley UniversityFollow
• Jared Nielsen, Brigham Young University - ProvoFollow

Files

Keywords

supercomputer, analysis, lateralization, abide, pipeline, linux, bash, cbig, freesurfer, deoblique, bids, mri, brain, neuroscience

Abstract

Lateralization refers to the organization of cognitive processes between the right and left hemispheres of the brain. While lateralization varies by sex, handedness, and neurodivergence, consistent analysis across large datasets is a computational challenge. To address this, we developed a high-performance computational pipeline that converts raw fMRI data into standardized information for large-scale statistical analysis.

BYU ScholarsArchive Citation

Grigg, David B.; Fischbeck, Laetner; Fox, Adam; Peterson, Madeline; and Nielsen, Jared, "Supercomputing the Brain: A Computational Pipeline For Lateralization Analysis" (2025). FHSS Mentored Research Conference. 399.
https://scholarsarchive.byu.edu/fhssconference_studentpub/399

Document Type

Poster

Publication Date

2025-04-09

Language

English

College

Family, Home, and Social Sciences

Department

Psychology

University Standing at Time of Publication

Junior

Course

Neuro 449R

Copyright Use Information

https://lib.byu.edu/about/copyright/