Stephen LaConte, PhD
Assistant Professor, VTC Research Institute
Assistant Professor, School of Biomedical Engineering and Sciences, Virginia Tech
Assistant Professor of Emergency Medicine, VTC School of Medicine
Research Program Summary
Research in the LaConte lab is devoted to advanced neuroimaging acquisition and data analysis approaches, aimed at basic scientific discovery as well as understanding and rehabilitating neurological and psychiatric diseases. A major focus of the lab is an innovation in functional magnetic resonance imaging (fMRI) that we developed and call “temporally adaptive brain state” (TABS) fMRI. The inception of TABS arose from two major recent advances in neuroimaging, namely 1) the recognition that multi-voxel patterns of fMRI data can be used to decode brain states (determine what the volunteer was “doing,” such as receiving sensory input, effecting motor output, or otherwise internally focusing on a prescribed task or thought) and 2) continued advances in MR imaging systems and experimental sophistication with fMRI that have led to the emergence of real-time fMRI as a viable tool for biofeedback.
Education and Training
- University of Denver: B.S., Biomedical Science and Electrical Engineering
- University of Minnesota: Ph.D., Biomedical Engineering
- Baylor College of Medicine Assistant Professor, Neuroscience
- S. M. LaConte. (2011). Decoding fMRI brain states in real-time. NeuroImage, 56:440-54.
- M. A. McHenry and S. M. LaConte. (2011). Computer Speech Recognition as an Objective Measure of Intelligibility. J Med Speech Lang Pathol, 18:99-103.
- Z. Yang, S. LaConte, X. Weng, and X. Hu.. (2008). Ranking and averaging independent component analysis by reproducibility (RAICAR). Hum Brain Mapp, 29:711–725.
- S. M. LaConte, S. J. Peltier, and X. P. Hu.. (2007). Real-time fMRI using brain-state classification. Hum Brain Mapp, 208:1033–1044.
- S. LaConte, S. Strother, V. Cherkassky, J. Anderson, and X. Hu.. (2005). Support vector machines for temporal classification of block design fMRI data. Neuroimage, 26:317–329.