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, February 14, 2019

Mathematicians report a way to optimize post-stroke therapy

Do any of you really think your stroke doctors and hospital are reading Mathematical Biosciences or have stroke research alerts set up to find this stuff?

Mathematicians report a way to optimize post-stroke therapy





February 13, 2019, RUDN University




Credit: Natalia Deryugina/VSRao
RUDN scientists have created a mathematical model describing changes in the properties of brain tissues after stroke. The development will help clinicians to optimize post-stroke therapy by stimulating brain neurons and taking into account each patient's individual situation. The results of the study were published in Mathematical Biosciences.
Over 15 million people have strokes each year. A is an acute blood circulation failure in the brain that kills neural cells. Patients who suffer a stroke often face partial or total speech loss, and find it difficult to move their limbs or the whole body. One rehabilitation method after a stroke is cerebral stimulation with brain-implanted electrodes or magnetic impulses. The success of the therapy depends on many factors, including the area of the brain that is stimulated and the types of signals used. Currently, optimal therapy parameters are selected manually. RUDN mathematicians have created a theoretical model to base such selection on exact calculations.
"Our task was to develop a theoretical model describing how the speed of a nervous impact propagation (i.e. the excitation of the tissue) fades down due to post-stroke damage to the cerebral cortex. Moreover, we demonstrated that in certain cases electric stimulation of the brain may compensate for this process," said Vitaly Volpert, the author of the article, and the head of the laboratory of mathematical modeling in biomedicine at RUDN.
After a stroke, a so-called penumbra forms in the brain. It is an area where the is reduced compared to requirements for normal functioning, but which is still higher than the critical level after which an irreversible change occurs. Penumbra cells become less excitable and lose connection with other neurons, leading to changes in the shape and speed of the excitation wave. RUDN mathematicians calculated the conditions at which the speed of neural impulses may be restored to normal levels with the help of external stimulation.
The model is based on the continual nerve tissue theory. The idea is that the cerebral cortex tissue is presented as a thin, flat surface. This assumption can be made due to high density of neurons (around 100,000 per 1 mm2) and the thickness of the cortex, which amounts to only 2.5 mm.
When developing the model, RUDN mathematicians introduced the so-called connection function. It shows that two points on the surface of the cerebral cortex are connected depending on the distance between them. The electric potential at each point is expressed as an indeterminate function depending on the time and the coordinates of the point. For this function, the scientists wrote the main integro-differential equation of the model. Its main parameters include the neurons' excitation threshold (a minimal amount of energy required to "irritate" a neuron) and the amplitude of excitation. When a brain is electrically stimulated, these two parameters are affected. Therefore, clinicians need to find out how the solution changes with different equation parameters. The authors studied the equation and deduced a number of conditions (mathematical equations and inequations). When they are met, external cerebral cortex stimulation may fully compensate for the consequences of a stroke.
"The suggested is built in view of recent mathematical calculations, cutting-edge technologies, and data on properties. Using our development, doctors can tailor stimulation to each patient's needs, i.e. make post- consistent with personalized medicine standards," added Vitaly Volpert.
More information: A. Beuter et al. Modeling of post-stroke stimulation of cortical tissue, Mathematical Biosciences (2018). DOI: 10.1016/j.mbs.2018.08.014

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