J
Jose L. Contreras-Vidal
Researcher at University of Houston
Publications - 219
Citations - 8287
Jose L. Contreras-Vidal is an academic researcher from University of Houston. The author has contributed to research in topics: Electroencephalography & Gait (human). The author has an hindex of 45, co-authored 210 publications receiving 6748 citations. Previous affiliations of Jose L. Contreras-Vidal include Boston University & Monterrey Institute of Technology and Higher Education.
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Journal ArticleDOI
Adaptation of handwriting size under distorted visual feedback in patients with Parkinson's disease and elderly and young controls
TL;DR: The young controls showed a gradual visuomotor adaptation that compensated for the visual feedback distortions during the exposure conditions and showed significant after effects during the postexposure conditions while the elderly controls seemed to make little use of visual feedback.
Journal ArticleDOI
Exercise, APOE, and working memory: MEG and behavioral evidence for benefit of exercise in epsilon4 carriers.
Sean P. Deeny,David Poeppel,Jo B. Zimmerman,Stephen M. Roth,Stephen M. Roth,Josef Brandauer,Sarah Witkowski,Joseph W. Hearn,Andrew T. Ludlow,Jose L. Contreras-Vidal,Jose L. Contreras-Vidal,Jason Brandt,Bradley D. Hatfield,Bradley D. Hatfield +13 more
TL;DR: The M170 peak was identified as a potential marker for pre-clinical decline as epsilon4 carriers exhibited longer M170 latency, and highly physically active participants exhibited greater M170 amplitude to matching probe trials.
Journal ArticleDOI
A neural model of basal ganglia-thalamocortical relations in normal and parkinsonian movement
TL;DR: A neural network model for the functioning of parallel basal ganglia-thalamocortical motor systems during normal and parkinsonian movement is developed and it is hypothesized that dopamine depletion produces smaller-than-normal pallidothalamic gating signals that prevent rescalability of these signals to control variable movement speed, and that in PD can produce smaller- than-normal movement amplitudes.
Book ChapterDOI
Understanding One-Handed Use of Mobile Devices
TL;DR: This work specifically considers situations in which a mobile user may have only one hand available to operate a device, and conducts three foundational studies: a field study to capture how users currently operate devices; a survey to record user preference for the number of hands used for a variety of mobile tasks, and an empirical evaluation to understand how device size, interaction location, and movement direction influence thumb agility.
Journal ArticleDOI
Negligible Motion Artifacts in Scalp Electroencephalography (EEG) During Treadmill Walking.
TL;DR: Investigating the potential contributions of motion artifacts in scalp EEG during treadmill walking at three different speeds suggests how MoBI methods may be safely deployed in neural, cognitive, and rehabilitation engineering applications.