Document Type
Honors Project On-Campus Access Only
Abstract
Functional magnetic resonance imaging allows cognitive neuroscientists to noninvasively measure neural activity. Due to recent advancements in field strength and spatial resolution, more efficient statistical and image processing tools are required to properly interpret highly-detailed experimental datasets. We provide AutoVizFS, a lightweight software package built on the prominent FreeSurfer suite, to analyze preprocessed cortical surfaces. AutoVizFS offers visualization of anatomical surfaces, manual definition of differently configured regions-of-interest, and analytical exploration of functional values. We demonstrate how AutoVizFS can be utilized to accurately decode fine-scale neural activity in a simple localizer experiment while considering persistent issues in fMRI such as distortion from cortical curvature and the darkening effect of veins.
Recommended Citation
Kuperwajs, Ionatan J., "Lightweight, exible MATLAB-based visualization and analysis of FreeSurfer surfaces" (2018). Mathematics, Statistics, and Computer Science Honors Projects. 43.
https://digitalcommons.macalester.edu/mathcs_honors/43
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