Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Leo M. Walton"'
Autor:
Alexander B. Remsik, Leroy Williams, Klevest Gjini, Keith Dodd, Jaclyn Thoma, Tyler Jacobson, Matt Walczak, Matthew McMillan, Shruti Rajan, Brittany M. Young, Zack Nigogosyan, Hemali Advani, Rosaleena Mohanty, Neelima Tellapragada, Janerra Allen, Mohsen Mazrooyisebdani, Leo M. Walton, Peter L. E. van Kan, Theresa J. Kang, Justin A. Sattin, Veena A. Nair, Dorothy Farrar Edwards, Justin C. Williams, Vivek Prabhakaran
Publikováno v:
Frontiers in Neuroscience, Vol 13 (2019)
Loss of motor function is a common deficit following stroke insult and often manifests as persistent upper extremity (UE) disability which can affect a survivor’s ability to participate in activities of daily living. Recent research suggests the us
Externí odkaz:
https://doaj.org/article/dbb1871187b947139ec614dde15c8536
Autor:
Alexander B. Remsik, Keith Dodd, Leroy Williams, Jaclyn Thoma, Tyler Jacobson, Janerra D. Allen, Hemali Advani, Rosaleena Mohanty, Matt McMillan, Shruti Rajan, Matt Walczak, Brittany M. Young, Zack Nigogosyan, Cameron A. Rivera, Mohsen Mazrooyisebdani, Neelima Tellapragada, Leo M. Walton, Klevest Gjini, Peter L.E. van Kan, Theresa J. Kang, Justin A. Sattin, Veena A. Nair, Dorothy Farrar Edwards, Justin C. Williams, Vivek Prabhakaran
Publikováno v:
Frontiers in Neuroscience, Vol 12 (2018)
Stroke is a leading cause of persistent upper extremity (UE) motor disability in adults. Brain–computer interface (BCI) intervention has demonstrated potential as a motor rehabilitation strategy for stroke survivors. This sub-analysis of ongoing cl
Externí odkaz:
https://doaj.org/article/03c6ed1391ec44c0b58681bc1d924d28
Autor:
Brittany M. Young, Zack Nigogosyan, Vivek Prabhakaran, Jie Song, Veena A. Nair, Mitchell E. Tyler, Kristin Caldera, Dorothy F. Edwards, Leo M. Walton, Justin A. Sattin, Justin C. Williams, Alexander B Remsik
Publikováno v:
Frontiers in Human Neuroscience, Vol 9 (2015)
Frontiers in Human Neuroscience
Frontiers in Human Neuroscience
Brain–computer interfaces (BCIs) are an emerging novel technology for stroke rehabilitation. Little is known about how dose-response relationships for BCI therapies affect brain and behavior changes. We report preliminary results on stroke patients
Autor:
Jie eSong, Veena A Nair, Brittany Mei Young, Leo M Walton, Zack eNigogosyan, Alexander B Remsik, Mitchell E Tyler, Dorothy Farrar Edwards, Kristin E Caldera, Justin A Sattin, Justin C Williams, Vivek ePrabhakaran
Publikováno v:
Frontiers in Human Neuroscience
Frontiers in Human Neuroscience, Vol 9 (2015)
Frontiers in Human Neuroscience, Vol 9 (2015)
Tracking and predicting motor outcomes is important in determining effective stroke rehabilitation strategies. Diffusion tensor imaging (DTI) allows for evaluation of the underlying structural integrity of brain white matter tracts and may serve as a
Autor:
Mitchell E. Tyler, Vivek Prabhakaran, Dorothy Farrar-Edwards, Leo M. Walton, Justin C. Williams, Scott W. Grogan, Kristin Caldera, Justin A. Sattin, Jie Song, Zack Nigogosyan, Veena A. Nair, Brittany M. Young
Publikováno v:
Frontiers in Neuroengineering
The relationship of the structural integrity of white matter tracts and cortical activity to motor functional outcomes in stroke patients is of particular interest in understanding mechanisms of brain structural and functional changes while recoverin
Autor:
Brittany M Young, Zack Nigogosyan, Veena A Nair, Jie Song, Leo M Walton, Svyat Vergun, Dorothy Farrar-Edwards, Justin Sattin, Marcus Chacon, Matthew B Jensen, Justin C Williams, Vivek Prabhakaran
Publikováno v:
Stroke. 45
Introduction: Brain-computer interface (BCI) is an emerging technology for stroke rehabilitation, but little is known about brain changes associated with its use. We examine changes in laterality index (LI) and functional connectivity (FC) during han
Publikováno v:
Journal of neural engineering. 9(4)
This article describes a new method of providing feedback during a brain–computer interface movement task using a non-invasive, high-resolution electrotactile vision substitution system. We compared the accuracy and movement times during a center-o
Publikováno v:
Journal of Visualized Experiments.
A brain-computer interface (BCI) functions by translating a neural signal, such as the electroencephalogram (EEG), into a signal that can be used to control a computer or other device. The amplitude of the EEG signals in selected frequency bins are m