Neuroimaging & Brain Dynamics Lab
Our goal is to increase understanding of the human brain by advancing functional neuroimaging methodology. We develop approaches for extracting information about brain activity in health and disease by combining neuroimaging (fMRI, EEG) and computational signal analysis techniques. Our research is highly interdisciplinary and collaborative, bridging fields such as engineering, computer science, neuroscience, psychology, and medicine.
We are at Vanderbilt University in the Department of Electrical Engineering and Computer Science. We are also affiliated with the Department of Biomedical Engineering, the Vanderbilt University Institute of Imaging Science (VUIIS), the Vanderbilt Institute for Surgery and Engineering (VISE), and the Vanderbilt Brain Institute (VBI). More information about our current research can be found here, and you can find our publications here.
2021.04: Congrats to Sarah! Her paper, "fMRI-based detection of alertness predicts behavioral response variability", has just been accepted to the journal eLife.
2021.03: Congrats to Shengchao! His paper, "Inter-individual signatures of fMRI temporal fluctuations", has just been accepted to Cerebral Cortex.
2020.10: Roza presents at MICCAI 2020 on deep learning models of fMRI physiological patterns! Her work received a MICCAI NIH award.
2020.09: Roza's visual analytics tool for interactive brain parcellation, mentored by Prof. Matt Berger, receives a Best Paper Honorable Mention at IEEE VIS 2020! Team includes Nhung Hoang from the Rubinov Lab, and Colin Hansen from the MASI Lab. Congrats!
2020.06: Caroline Martin joins us as a Research Assistant! Welcome! Caroline received her B.S. in Neuroscience from the University of the South
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