VISE Spring Seminar – Catie Chang, PhD
VISE Seminar to be led by
Catie Chang, PhD
Assistant Professor of Computer Science,
Electrical Engineering, and Computer Engineering
Date: April 11, 2019
Location: Stevenson 5326
Time: 12:25 p.m. start, 12:15 p.m. lunch
Multimodal imaging of human brain activity
Functional MRI is a powerful and non-invasive technology for investigating human brain activity. However, fMRI provides an indirect measure of brain activity, and the sources contributing to fMRI signal fluctuations are not fully understood. We will discuss how combining fMRI with complementary neural/physiological measures (such as EEG) can help to resolve fMRI signal sources and their underlying dynamics, and provide greater information about brain function.
Catie Chang is an Assistant Professor in the Department of Electrical Engineering and Computer Science and Department of Biomedical Engineering at Vanderbilt University. Her research focuses on signal processing and computational approaches for analyzing functional neuroimaging data. Before joining Vanderbilt, she was a Research Fellow at the National Institute of Neurological Disorders and Stroke, in the NIH Intramural Research Program. She received her Ph.D. in Electrical Engineering from Stanford University in the Radiological Sciences Lab, following undergraduate studies in Electrical Engineering and Computer Science at MIT.