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Jose L. Contreras Vidal, PhD

Full Affiliate Member, Research Institute
Houston Methodist


Contreras Vidal Lab - Brain-Machine Interface Lab


Biography

Dr. Contreras-Vidal earned his Ph.D. in cognitive and neural systems from Boston University. He held faculty appointments at the University of Maryland-College Park, MD  before joining the faculty of the University of Houston and becoming a full affiliate member of Houston Methodist Research Institute with appointments in the neurosciences research program and the department of neurosurgery. Dr. Contreras-Vidal is a professor of electrical and computer engineering at The University of Houston. He directs a neural and rehabilitation engineering research program focusing on non-invasive brain-machine interface systems and neuroprosthetics. 

Dr. Contreras-Vidal has also been a charter member of the NIH Motor Function, Speech and Rehabilitation study section, and has served on multiple NIH, NSF and international review panels. He is currently on the editorial boards of Neural Networks, Frontiers in Neuroprosthetics, the International Journal of Mobile Computer Interaction, and  Computers in Biology and Medicine. He is also  the president-elect of the International Graphonomics Society. Dr. Contreras-Vidal is the chairman of the NIH and NSF funded 2013 Clinical Brain-Neural Machine Interface Systems workshop at the Research Institute, and an IEEE Senior Member.

Description of Research

Neural interfaces, brain-machine interfaces, computational neuroscience, rehabilitation robotics

Description of Research
Dr. Contreras-Vidal’s research program was the first to demonstrate continuous decoding of human 3D hand kinematics from scalp electroencephalography (EEG). His research focuses on four areas:
-Reverse engineering the brain
-Innovating rehabilitation robotics
-Utilizing neural interfaces as tools for reverse-translational studies of brain plasticity
-Development of noninvasive neuroprosthetics and wearable exoskeletons for restoration and rehabilitation of motor function.

Education & Training

Fellow, Arizona State University
PhD, Boston University
BS, Monterrey Institute of Technology
MS, University of Colorado Boulder
Fellow, University of Fribourg
Publications

Neural Decoding of Robot-Assisted Gait during Rehabilitation after Stroke
Contreras-Vidal, JL, Bortole, M, Zhu, F, Nathan, K, Venkatakrishnan, A, Francisco, GE, Soto, R & Pons, JL 2018, American Journal of Physical Medicine and Rehabilitation, vol. 97, no. 8, pp. 541-550. DOI: 10.1097/PHM.0000000000000914

Data Descriptor: Full body mobile brain-body imaging data during unconstrained locomotion on stairs, ramps, and level ground
Brantley, JA, Luu, TP, Nakagome, S, Zhu, F & Contreras-Vidal, JL 2018, Scientific Data, vol. 5, 180133. DOI: 10.1038/sdata.2018.133

Risk and adverse events related to lower-limb exoskeletons
He, Y, Eguren, D, Luu, TP & Contreras-Vidal, JL 2018, . in 2017 International Symposium on Wearable Robotics and Rehabilitation, WeRob 2017. Institute of Electrical and Electronics Engineers Inc. pp. 1-2, 2017 International Symposium on Wearable Robotics and Rehabilitation, WeRob 2017, Houston, United States, 11/5/17. DOI: 10.1109/WEROB.2017.8383850

Effects of speed and direction of perturbation on electroencephalographic and balance responses
Goel, R, Ozdemir, RA, Nakagome, S, Contreras-Vidal, JL, Paloski, WH & Parikh, PJ 2018, Experimental Brain Research, pp. 1-11. DOI: 10.1007/s00221-018-5284-5

Data Descriptor: A mobile brainbody imaging dataset recorded during treadmill walking with a brain-computer interface
He, Y, Luu, TP, Nathan, K, Nakagome, S & Contreras-Vidal, JL 2018, Scientific Data, vol. 5, 180074. DOI: 10.1038/sdata.2018.74

Brain-machine interfaces for controlling lower-limb powered robotic systems
He, Y, Eguren, D, Azorín, JM, Grossman, RG, Luu, TP & Contreras-Vidal, JL 2018, Journal of Neural Engineering, vol. 15, no. 2, 021004. DOI: 10.1088/1741-2552/aaa8c0

Cortical control of upright stance in elderly
Ozdemir, RA, Contreras-Vidal, JL & Paloski, WH 2018, Mechanisms of Ageing and Development, vol. 169, pp. 19-31. DOI: 10.1016/j.mad.2017.12.004

Real-time EEG-based brain-computer interface to a virtual avatar enhances cortical involvement in human treadmill walking
Luu, TP, Nakagome, S, He, Y & Contreras-Vidal, JL 2017, Scientific Reports, vol. 7, no. 1, 8895. DOI: 10.1038/s41598-017-09187-0

Modulation of neural activity during guided viewing of visual art
Herrera-Arcos, G, Tamez-Duque, J, Acosta-De-Anda, EY, Kwan-Loo, K, de-Alba, M, Tamez-Duque, U, Contreras-Vidal, JL & Soto, R 2017, Frontiers in Human Neuroscience, vol. 11, 581. DOI: 10.3389/fnhum.2017.00581

Cortical features of locomotion-mode transitions via non-invasive EEG
Luu, TP, Brantley, JA, Zhu, F & Contreras-Vidal, JL 2017, . in 2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017. vol. 2017-January, Institute of Electrical and Electronics Engineers Inc. pp. 2437-2441, 2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017, Banff, Canada, 10/5/17. DOI: 10.1109/SMC.2017.8122988

Prediction of EMG envelopes of multiple terrains over-ground walking from EEG signals using an Unscented Kalman Filter
Nakagome, S, Luu, TP, Brantley, JA & Contreras-Vidal, JL 2017, . in 2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017. vol. 2017-January, Institute of Electrical and Electronics Engineers Inc. pp. 3175-3178, 2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017, Banff, Canada, 10/5/17. DOI: 10.1109/SMC.2017.8123116

Prediction of lower-limb joint kinematics from surface EMG during overground locomotion
Brantley, JA, Luu, TP, Nakagome, S & Contreras-Vidal, JL 2017, . in 2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017. vol. 2017-January, Institute of Electrical and Electronics Engineers Inc. pp. 1705-1709, 2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017, Banff, Canada, 10/5/17. DOI: 10.1109/SMC.2017.8122861

EEG-based brain-computer interface to a virtual walking avatar engages cortical adaptation
Luu, TP, He, Y, Nakagome, S & Contreras-Vidal, JL 2017, . in 2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017. vol. 2017-January, Institute of Electrical and Electronics Engineers Inc. pp. 3054-3057, 2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017, Banff, Canada, 10/5/17. DOI: 10.1109/SMC.2017.8123094

Deployment of mobile EEG technology in an art museum setting: Evaluation of signal quality and usability
Cruz-Garza, JG, Brantley, JA, Nakagome, S, Kontson, K, Megjhani, M, Robleto, D & Contreras-Vidal, JL 2017, Frontiers in Human Neuroscience, vol. 11, 527. DOI: 10.3389/fnhum.2017.00527

Electrocortical correlates of human level-ground, slope, and stair walking
Luu, TP, Brantley, JA, Nakagome, S, Zhu, F & Contreras-Vidal, JL 2017, PLoS ONE, vol. 12, no. 11, e0188500. DOI: 10.1371/journal.pone.0188500

Electrocortical amplitude modulations of human level-ground, slope, and stair walking
Luu, TP, Brantley, JA, Zhu, F & Contreras-Vidal, JL 2017, . in 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Smarter Technology for a Healthier World, EMBC 2017 - Proceedings., 8037222, Institute of Electrical and Electronics Engineers Inc. pp. 1913-1916, 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2017, Jeju Island, Korea, Republic of, 7/11/17. DOI: 10.1109/EMBC.2017.8037222

Improving robotic stroke rehabilitation by incorporating neural intent detection: Preliminary results from a clinical trial
Sullivan, JL, Bhagat, NA, Yozbatiran, N, Paranjape, R, Losey, CG, Grossman, RG, Contreras-Vidal, JL, Francisco, GE & OMalley, MK 2017, . in 2017 International Conference on Rehabilitation Robotics, ICORR 2017., 8009233, Institute of Electrical and Electronics Engineers Inc. pp. 122-127, 2017 International Conference on Rehabilitation Robotics, ICORR 2017, London, United Kingdom, 7/17/17. DOI: 10.1109/ICORR.2017.8009233

Multi-trial gait adaptation of healthy individuals during visual kinematic perturbations
Luu, TP, He, Y, Nakagome, S, Nathan, K, Brown, S, Gorges, J & Contreras-Vidal, JL 2017, Frontiers in Human Neuroscience, vol. 11, 320. DOI: 10.3389/fnhum.2017.00320

Risk management and regulations for lower limb medical exoskeletons: A review
He, Y, Eguren, D, Luu, TP & Contreras-Vidal, JL 2017, Medical Devices: Evidence and Research, vol. 10, pp. 89-107.

Multiple kernel based region importance learning for neural classification of gait states from EEG signals
Zhang, Y, Prasad, S, Kilicarslan, A & Contreras-Vidal, JL 2017, Frontiers in Neuroscience, vol. 11, no. APR, 170. DOI: 10.3389/fnins.2017.00170