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Feasibility of Wearable Sensing for In-Home Finger Rehabilitation Early After Stroke
Wearable grip sensing shows potential for hand rehabilitation, but few studies have studied feasibility early after stroke. Here, we studied a wearable grip sensor integrated with a musical computer game (MusicGlove). Among the stroke patients admitted to a hospital without limiting complications, 13% had adequate hand function for system use. Eleven subjects used MusicGlove at home over three weeks with a goal of nine hours of use. On average they achieved 4.1 ± 3.2 (SD) hours of use and completed 8627 ± 7500 grips, an amount comparable to users in the chronic phase of stroke measured in a previous st...
Source: IEE Transactions on Neural Systems and Rehabilitation Engineering - May 31, 2020 Category: Neuroscience Source Type: research

Neurophysiological Analysis of Intermanual Transfer in Motor Learning
In this study, MEPs were induced during the subject’s imaged kinesthetic MI. This involves recalling muscle contraction based on a muscle sensory image and was reported to indicate the activity of brain regions similar to those involved in actual muscle contraction (Ruby and Decety, 2001). In the transfer training group, the muscle sensory image evaluation correlated to the actual task execution with the right hand. As a result, it was easy to recall the kinesthetic MI for the training task, thus affecting MI of the non-trained limbs so that MEP changes occurred in the left hand’s MI. In addition, brain exc...
Source: Frontiers in Human Neuroscience - April 17, 2019 Category: Neuroscience Source Type: research

Automatic Segmentation of Left Ventricle from Cardiac MRI via Deep Learning and Region Constrained Dynamic Programming
Publication date: Available online 16 February 2019Source: NeurocomputingAuthor(s): Hu Huaifei, Ning Pan, Jiayu Wang, Tailang Yin, Renzhen YeAbstractSegmentation of the left ventricle from cardiac magnetic resonance images (MRI) is an essential step to quantitatively analyze global and regional cardiac function. The aim of this study is to develop a novel and robust algorithm which can improve the accuracy of automatic left ventricle segmentation on short-axis cardiac MRI. The database used in this study are 900 cardiac MRI cases from Hubei Cancer Hospital. Three key techniques are developed in this segmentation algorithm:...
Source: Neurocomputing - February 16, 2019 Category: Neuroscience Source Type: research

Transcutaneous Auricular Vagus Nerve Stimulation-Paired Rehabilitation for Oromotor Feeding Problems in Newborns: An Open-Label Pilot Study
Neonates born premature or who suffer brain injury at birth often have oral feeding dysfunction and do not meet oral intake requirements needed for discharge. Low oral intake volumes result in extended stays in the hospital (>2 months) and can lead to surgical implant and explant of a gastrostomy tube (G-tube). Prior work suggests pairing vagus nerve stimulation (VNS) with motor activity accelerates functional improvements after stroke, and transcutaneous auricular VNS (taVNS) has emerged as promising noninvasive form of VNS. Pairing taVNS with bottle-feeding rehabilitation may improve oromotor coordination and lead to ...
Source: Frontiers in Human Neuroscience - March 17, 2020 Category: Neuroscience Source Type: research

Prediction of Communication Impairment in Children With Bilateral Cerebral Palsy Using Multivariate Lesion- and Connectome-Based Approaches: Protocol for a Multicenter Prospective Cohort Study
DiscussionThe findings of the study may lead to the development of several translational tools that can individually predict communication impairment in children newly diagnosed with BCP to ensure that these children receive early, targeted therapeutic intervention before they begin school.Trial registrationThe study has been registered with the Chinese Clinical Trial Registry (ChiCTR2100049497).
Source: Frontiers in Human Neuroscience - January 31, 2022 Category: Neuroscience Source Type: research