The road forward for upper-extremity rehabilitation robotics
Despite concerted efforts over the last three decades, upper-extremity robotic rehabilitation
has yet to reach its full potential. We assert that assuming the goal of robotic rehabilitation is …
has yet to reach its full potential. We assert that assuming the goal of robotic rehabilitation is …
NSF DARE—Transforming modeling in neurorehabilitation: Four threads for catalyzing progress
We present an overview of the Conference on Transformative Opportunities for Modeling in
Neurorehabilitation held in March 2023. It was supported by the Disability and Rehabilitation …
Neurorehabilitation held in March 2023. It was supported by the Disability and Rehabilitation …
Virtuous and vicious cycles of arm use and function post-stroke
Large doses of movement practice have been shown to restore upper extremities' motor
function in a significant subset of individuals post-stroke. However, such large doses are …
function in a significant subset of individuals post-stroke. However, such large doses are …
Neural correlates of motor skill learning are dependent on both age and task difficulty
JM Bootsma, SR Caljouw, MP Veldman… - Frontiers in aging …, 2021 - frontiersin.org
Although a general age-related decline in neural plasticity is evident, the effects of age on
neural plasticity after motor practice are inconclusive. Inconsistencies in the literature may …
neural plasticity after motor practice are inconclusive. Inconsistencies in the literature may …
Long-term forecasting of a motor outcome following rehabilitation in chronic stroke via a hierarchical bayesian dynamic model
Background Given the heterogeneity of stroke, it is important to determine the best course of
motor therapy for each patient, ie, to personalize rehabilitation based on predictions of long …
motor therapy for each patient, ie, to personalize rehabilitation based on predictions of long …
Type and distribution of gross motor activity during physical therapy in young children with cerebral palsy
LA Prosser, AC Paremski, J Skorup, M Alcott… - Physical …, 2024 - academic.oup.com
Objective Physical therapists routinely deliver and prescribe motor practice to improve
function. The ability to select optimal practice regimens is limited by a current lack of detail in …
function. The ability to select optimal practice regimens is limited by a current lack of detail in …
Characterizing practice-dependent motor learning after a stroke
A Antonioni, N Cellini, A Baroni, G Fregna… - Neurological …, 2024 - Springer
Background After stroke, patients must learn to use residual motor function correctly.
Consistently, motor learning is crucial in stroke motor recovery. We assessed motor …
Consistently, motor learning is crucial in stroke motor recovery. We assessed motor …
Five features to look for in early-phase clinical intervention studies
JS Tsay, CJ Winstein - Neurorehabilitation and Neural …, 2021 - journals.sagepub.com
Neurorehabilitation relies on core principles of neuroplasticity to activate and engage latent
neural connections, promote detour circuits, and reverse impairments. Clinical interventions …
neural connections, promote detour circuits, and reverse impairments. Clinical interventions …
The role of extra-motor networks in upper limb motor performance post-stroke
DJS Mattos, J Rutlin, X Hong, K Zinn, JS Shimony… - Neuroscience, 2023 - Elsevier
Background: Motor improvement post-stroke may happen even if resting state functional
connectivity between the ipsilesional and contralesional components of the sensorimotor …
connectivity between the ipsilesional and contralesional components of the sensorimotor …
Computational neurorehabilitation
N Schweighofer - Neurorehabilitation technology, 2022 - Springer
Computational Neurorehabilitation is an emerging field at the intersection of
Neurorehabilitation, Computational Neuroscience, Motor Control and Learning, and …
Neurorehabilitation, Computational Neuroscience, Motor Control and Learning, and …