Changing stroke rehab and research worldwide now.Time is Brain! trillions and trillions of neurons that DIE each day because there are NO effective hyperacute therapies besides tPA(only 12% effective). I have 523 posts on hyperacute therapy, enough for researchers to spend decades proving them out. These are my personal ideas and blog on stroke rehabilitation and stroke research. Do not attempt any of these without checking with your medical provider. Unless you join me in agitating, when you need these therapies they won't be there.

What this blog is for:

My blog is not to help survivors recover, it is to have the 10 million yearly stroke survivors light fires underneath their doctors, stroke hospitals and stroke researchers to get stroke solved. 100% recovery. The stroke medical world is completely failing at that goal, they don't even have it as a goal. Shortly after getting out of the hospital and getting NO information on the process or protocols of stroke rehabilitation and recovery I started searching on the internet and found that no other survivor received useful information. This is an attempt to cover all stroke rehabilitation information that should be readily available to survivors so they can talk with informed knowledge to their medical staff. It lays out what needs to be done to get stroke survivors closer to 100% recovery. It's quite disgusting that this information is not available from every stroke association and doctors group.

Thursday, June 24, 2021

Visuomotor Discordance During Visually-Guided Hand Movement in Virtual Reality Modulates Sensorimotor Cortical Activity in Healthy and Hemiparetic Subjects

There might be something here but I don't have the brainpower to understand.

Visuomotor Discordance During Visually-Guided Hand Movement in Virtual Reality Modulates Sensorimotor Cortical Activity in Healthy and Hemiparetic Subjects

  Published in final edited form as:IEEE Trans Neural Syst Rehabil Eng. 2013 March ; 21(2): 198–207. doi:10.1109/TNSRE.2013.2238250.
 Eugene Tunik, University of Medicine and Dentistry of New Jersey, Newark, NJ 07107 USA
Soha Saleh, and University of Medicine and Dentistry of New Jersey, Newark, NJ 07107 USA
Sergei V. Adamovich New Jersey Institute of Technology and the University of Medicine and Dentistry of New Jersey,Newark, NJ 07102 USA
Eugene Tunik: tunikeu@umdnj.edu; Sergei V. Adamovich: sergei.adamovich@njit.edu

 Abstract

We investigated neural effects of visuo-motor discordances during visually-guided finger movements. An fMRI-compatible data glove was used to actuate (in real-time) virtual hand models shown on a display in 1st person perspective. In experiment 1, we manipulated virtual hand motion to simulate either hypometric or unintentional (actuation of a mismatched finger)feedback of sequential finger flexion in healthy subjects. Analysis of finger motion revealed no significant differences in movement behavior across conditions, suggesting that between condition differences in brain activity could only be attributed to varying modes of visual feedback rather than motor output. Activation in the veridical relative to either altered feedback conditions was localized to the ipsilateral motor cortex. Hypometric feedback and mismatched finger feedback (relative to veridical) were associated with distinct activation. Hypometric feedback was associated with activation in the contralateral motor cortex. Mismatched feedback was associated with activation in bilateral ventral premotor, left dorsal premotor and left occipitotemporal cortex.The time it took the subject to evaluate visuomotor discordance was positively correlated with activation in bilateral supplementary motor area, bilateral insula, right postcentral gyrus, bilateraldorsal premotor areas and bilateral posterior parietal lobe. In Experiment 2, we investigated the effects of hypo- and hypermetric visual feedback in three stroke subjects. We observed increased activation of ipsilesional motor cortex in both hypometric and hypermetric feedback conditions.Our data suggest that manipulation of visual feedback of one’s own hand movement may be used to facilitate activity in select brain networks. We suggest that these effects can be exploited in neurorehabilition to enhance the processes of brain reorganization after injury and, specifically,might be useful in aiding recovery of hand function in patients during virtual reality-based training.

 

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