Deans' stroke musings: Dual-afferent sensory input training for voluntary movement after stroke: A pilot randomized controlled study

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.

Friday, July 14, 2017

Dual-afferent sensory input training for voluntary movement after stroke: A pilot randomized controlled study

Useless without a protocol.
http://search.naric.com/research/rehab/redesign_record.cfm?search=2&type=all&criteria=J76245&phrase=no&rec=133901&article_source=Rehab&international=0&international_language=&international_location=
NeuroRehabilitation , Volume 40(3) , Pgs. 293-300.

NARIC Accession Number: J76245. What's this?
ISSN: 1053-8135.
Author(s): Bae, Seahyun; Kim, Kyung-Yoon.
Publication Year: 2017.
Number of Pages: 8.
Abstract: In this study, action observational training was used as afferent sensory input to produce motivational stimuli for movement in stroke patients. Action observational training provides motivation for movement and improves functional movement through imitation and practice of observed movements. Dual-afferent sensory input (DASI), which combines electromyography-triggered functional electric stimulation (ETFES) and action observation, was investigated to determine its effects on voluntary movements in 18 patients with left hemiplegia diagnosed between 6 and 24 months prior. The 9 subjects in the DAS group underwent ETFES with action observation training for 4 weeks (20 minutes a day, 5 days a week), while the 9 control group subjects underwent functional electric stimulation for the same duration. The outcome measures were the movement-related cortical potential (MRCP), H-reflex, electromyography, and balance. The control and DASI groups showed significant increases in MRCP, muscle activity, and balance, while H-reflex was significantly decreased. MRCP and balance showed significant differences between DASI and control groups. Results indicate that DASI stimulates voluntary movement in patients, causes rapid activation of the cerebral cortex, and reduces excessive excitation of spinal motor neurons. Therefore, DASI, which stimulates voluntary movement, has a greater effect on brain activation than a single type of stimulus in the treatment of stroke patients.
Descriptor Terms: BRAIN, ELECTRICAL STIMULATION, ELECTROPHYSIOLOGY, EQUILIBRIUM, HEMIPLEGIA, MUSCLES, PHYSICAL THERAPY, STROKE.

Can this document be ordered through NARIC's document delivery service*?: Y.

Citation: Bae, Seahyun, Kim, Kyung-Yoon. (2017). Dual-afferent sensory input training for voluntary movement after stroke: A pilot randomized controlled study. NeuroRehabilitation , 40(3), Pgs. 293-300. Retrieved 7/14/2017, from REHABDATA database.