Brain cortical thickness evaluation in amyotrophic lateral sclerosis (ALS)

Faculty Name:
Vincent Koppelmans

Department:
Psychiatry

Faculty College:
Medicine

Email:
vincent.koppelmans@utah.edu


Project Description:

Amyotrophic Lateral Sclerosis (ALS) is neurodegenerative disease that affects the central nervous system, especially the motor system. ALS results in decreases in cerebral cortical thickness (CT). Several software packages allow the CT estimation from MRI scans, but it is unclear which of them is the most accurate. Here, we aim to compare three widely used neuroimaging software packages that provide tools for CT measurement. Results will help selecting the software that is the most suited for CT analysis in ALS.



Opportunity Type:

Volunteer; Prepare a UROP proposal; Write an Honors Thesis; Earn independent study credit


Student Role:

1) Learn how to run the software; 2) Batch process the software and run it on a computing cluster; 3) Quality control; 4) Comparison of measures between software packages


Student Benefits:

Gaining experience with processing of biomedical data. A lab environment that provides the opportunity to expand coding skills. Mentoring in in statistical analysis.


Project Duration:

Project duration is 3-6 months. Estimated hours per week: 6-10.


Minimum Requirements:

1) Programming or scripting experience. Preferably Matlab, Python, or shell script. 2) Basic statistical knowledge of general linear models or analysis of variance.