Stephen M LaConte

Contact

Office phone: 540-526-2008

Office location: R-1112

Email address: slaconte@vtc.vt.edu

Stephen M LaConte, Ph.D.

Associate Professor, Virginia Tech Carilion Research Institute

Associate Professor, Department of Biomedical Engineering and Mechanics, College of Engineering, Virginia Tech

Associate Professor of Emergency Medicine, Virginia Tech Carilion School of Medicine

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.

For a full listing of Dr. LaConte's publications, visit PubMed.

Education and Training

  • University of Denver: B.S. , Biomedical Science and Electrical Engineering
  • University of Minnesota: Ph.D. , Biomedical Engineering

Previous Positions

  • Baylor College of Medicine Assistant Professor, Neuroscience

Awards and Honors

  • Dean’s Award for Outstanding New Assistant Professor, Virginia Tech College of Engineering, 2014

Selected Publications

Li T, Murphy S, Kiselev B, Bakshi KS, Zhang J, Eltahir A, Zhang Y, Chen Y, Zhu J, Davis RM, Madsen LA, Morris JR, Karolyi DR, LaConte SM, Sheng Z, Dorn HC. (2015). A New Interleukin-13 Amino-Coated Gadolinium Metallofullerene Nanoparticle for Targeted MRI Detection of Glioblastoma Tumor Cells. Journal of the American Chemical Society 137(24): 7881-8.

Eklund A, Dufort P, Forsberg D, LaConte SM. (2013). Medical image processing on the GPU – Past, present and future. Medical Image Analysis 17(8): 1073-94.

Craddock RC, Milham MP, LaConte SM. (2013). Predicting intrinsic brain activity. Neuroimage 82: 127-36.

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