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Total 286 results found since Jan 2013.

Visual Feedback Modulates Aftereffects and Electrophysiological Markers of Prism Adaptation
Prism adaptation (PA) is both a model for visuomotor learning and a promising treatment for visuospatial neglect after stroke. The task involves reaching for targets while prism glasses horizontally displace the visual field. Adaptation is hypothesized to occur through two processes: strategic recalibration, a rapid self-correction of pointing errors; and spatial realignment, a more gradual adjustment of visuomotor reference frames that produce prism aftereffects (i.e., reaching errors upon glasses removal in the direction opposite to the visual shift). While aftereffects can ameliorate neglect, not all patients respond to...
Source: Frontiers in Human Neuroscience - April 16, 2020 Category: Neuroscience Source Type: research

Development of a Combined, Sequential Real-Time fMRI and fNIRS Neurofeedback System Enhance Motor Learning After Stroke
Publication date: Available online 18 May 2020Source: Journal of Neuroscience MethodsAuthor(s): Jake D. Rieke, Avi K. Matarasso, M. Minhal Yusufali, Aniruddh Ravindran, Jose Alcantara, Keith D. White, Janis J. Daly
Source: Journal of Neuroscience Methods - May 20, 2020 Category: Neuroscience Source Type: research

Hierarchical Bayesian Optimization of Spatiotemporal Neurostimulations for Targeted Motor Outputs
The development of neurostimulation techniques to evoke motor patterns is an active area of research. It serves as a crucial experimental tool to probe computation in neural circuits, and has applications in neuroprostheses used to aid recovery of motor function after stroke or injury to the nervous system. There are two important challenges when designing algorithms to unveil and control neurostimulation-to-motor correspondences, thereby linking spatiotemporal patterns of neural stimulation to muscle activation: (1) the exploration of motor maps needs to be fast and efficient (exhaustive search is to be avoided for clinic...
Source: IEE Transactions on Neural Systems and Rehabilitation Engineering - May 31, 2020 Category: Neuroscience Source Type: research

Development of a combined, sequential real-time fMRI and fNIRS neurofeedback system to enhance motor learning after stroke
Publication date: 15 July 2020Source: Journal of Neuroscience Methods, Volume 341Author(s): Jake D. Rieke, Avi K. Matarasso, M. Minhal Yusufali, Aniruddh Ravindran, Jose Alcantara, Keith D. White, Janis J. Daly
Source: Journal of Neuroscience Methods - June 13, 2020 Category: Neuroscience Source Type: research

Stroke prognostication for discharge planning with machine learning: A derivation study
Publication date: September 2020Source: Journal of Clinical Neuroscience, Volume 79Author(s): Stephen Bacchi, Luke Oakden-Rayner, David K. Menon, Jim Jannes, Timothy Kleinig, Simon Koblar
Source: Journal of Clinical Neuroscience - August 5, 2020 Category: Neuroscience Source Type: research

Multimodal magnetic resonance imaging correlates of motor outcome after stroke using machine learning
Publication date: Available online 6 November 2020Source: Neuroscience LettersAuthor(s): Hea Eun Yang, Sunghyon Kyeong, Hyunkoo Kang, Dae Hyun Kim
Source: Neuroscience Letters - November 8, 2020 Category: Neuroscience Source Type: research

Learning processes in elementary nervous systems §.
Learning processes in elementary nervous systems§. J Integr Neurosci. 2020 Dec 30;19(4):673-678 Authors: Traina G Abstract Invertebrate animal models show simple behaviors supported by neural circuits easily accessible for experimentation and yet complex enough to provide necessary information on the cellular and molecular mechanisms that govern the vertebrate nervous system's function. The mechanisms underlying simple forms of learning have been extensively studied in the marine gastropod Aplysia californica, in which elementary non-associative learning of the behavioral habituation and sensitizatio...
Source: Journal of Integrative Neuroscience - December 30, 2020 Category: Neuroscience Authors: Traina G Tags: J Integr Neurosci Source Type: research

Learning processes in elementary nervous systems §
J Integr Neurosci. 2020 Dec 30;19(4):673-678. doi: 10.31083/j.jin.2020.04.318.ABSTRACTInvertebrate animal models show simple behaviors supported by neural circuits easily accessible for experimentation and yet complex enough to provide necessary information on the cellular and molecular mechanisms that govern the vertebrate nervous system's function. The mechanisms underlying simple forms of learning have been extensively studied in the marine gastropod Aplysia californica, in which elementary non-associative learning of the behavioral habituation and sensitization type has been studied using the gill withdrawal reflex. A ...
Source: Journal of Integrative Neuroscience - December 30, 2020 Category: Neuroscience Authors: Giovanna Traina Source Type: research