A Single Session of Robot-Controlled Proprioceptive Training Modulates Functional Connectivity of Sensory Motor Networks and Improves Reaching Accuracy in Chronic Stroke.

Journal: Neurorehabilitation and neural repair

Published Date: Dec 29, 2018

Abstract

BACKGROUND: Passive robot-generated arm movements in conjunction with proprioceptive decision making and feedback modulate functional connectivity (FC) in sensory motor networks and improve sensorimotor adaptation in normal individuals. This proof-of-principle study investigates whether these effects can be observed in stroke patients.

Authors

Shahabeddin Vahdat

Neurology Department, Stanford University, USA; Functional Neuroimaging Unit, CRIUGM, Université de Montréal, Montreal, QC, Canada.
Mohammed Darainy

1 McGill University, Montréal, QC, Canada.
Alexander Thiel

1 McGill University, Montréal, QC, Canada.
David J Ostry

1 McGill University, Montréal, QC, Canada.

Keywords

Aged Brain Ischemia Chronic Disease Connectome Feedback, Sensory Female Humans Magnetic Resonance Imaging Male Middle Aged Motor Activity Nerve Net Proof of Concept Study Proprioception Robotics Sensorimotor Cortex Stroke Stroke Rehabilitation Treatment Outcome

External Resources

View on PubMed Access via DOI PubMed (30595082)

A Single Session of Robot-Controlled Proprioceptive Training Modulates Functional Connectivity of Sensory Motor Networks and Improves Reaching Accuracy in Chronic Stroke.

Abstract

Authors

Keywords

External Resources

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