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Sources of fMRI signal fluctuations

Primary Investigators:
Catie Chang
Brief Description of Project:
Functional magnetic resonance imaging (fMRI) is a widely used technology for studying human brain activity in health and disease. Yet, fMRI provides an indirect measure of neural activity, and fMRI signals also reflect blood-flow changes associated with physiological processes such as breathing and cardiac activity. Quantifying the influence of these processes is important for drawing clear inferences about brain function from fMRI. This project uses signal processing methods to characterize specific neural and physiological contributions to fMRI data.

Desired Qualifications:
Programming experience (preferably in Matlab), and a strong interest in brain imaging data.
Nature of Supervision:
The student will work closely with the PI, with assistance from graduate students and postdocs in the lab.
A Brief Research Plan (period is for 10 weeks):
The first few weeks will involve becoming familiar with fMRI and learning relevant data analysis techniques. The remainder of the program will focus on analyzing fMRI and physiological signals, and preparing a final report and poster.
Number of Open Slots: 1
Contact Information:
Name: Catie Chang
Department: Electrical Engineering and Computer Science