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.

Tuesday, December 6, 2016

New Neuron Dynamics Model Better Fitted to the Biological Reality

How will this change your doctors thinking on your stroke protocols? Does your doctor think at all? Which model is your doctor using to direct your recovery? 1952 Hodgkin-Huxley model?
FitzHugh-Nagumo model?
http://neurosciencenews.com/neuron-dynamic-model-neuroscience-5681/

Summary: New model of neuron dynamics is not only more biologically relevant, it also provides a better insight into neurovascular dynamics.
Source: Springer.
Scientists have now adopted a qualitative theoretical neuroscience model commensurate with actual measurements of neurons’ dynamics.
Neuroscientists are currently working diligently to understand the dynamics of thousands of coupled neurons. Understanding how they operate requires accurate models. The trouble is that each of the existing neuroscience models has its own shortcomings. Russian physicists have, for the first time, developed an effective method for solving the equations of a well-known theoretical neuroscience dynamic model and make it more biologically relevant. These findings have just been published in EPJ Plus by Eugene Postnikov and Olga Titkova from Kursk State University, Russia. They could not only help resolve problems in the neurosciences, but could also provide a deeper understanding of neuronal activity in the emerging sector of neurovascular dynamics, which describes the interplay between the brain’s neurons and the blood flow.
The most biologically accurate neuroscience model is the 1952 Hodgkin-Huxley model (HH), which garnered its inventors the 1963 Nobel Prize in Physiology and Medicine. This model provides an understanding of neurons’ dynamics as physical objects similar to electric circuits. By contrast, the most widespread theoretical model is the FitzHugh-Nagumo model (FHN), a qualitative model reproducing the main features of neuronal dynamics patterns without providing quantifiable biological information.
Previous attempts at modelling neuronal activity in actual brains involved combining the electrical currents within microscopic compartments for each of thousands of individuals neurons. Instead, the authors started from the macroscopic solutions of a simplified version of the biologically accurate HH model, which reflects the measurement in a nerve of the global voltage of neuron spikes evolving over time.
Previous attempts at modelling neuronal activity in actual brains involved combining the electrical currents within microscopic compartments for each of thousands of individuals neurons. Neurosciencenews image is for illustrative purposes only.
They then changed the parameters of the FHN model so that the key features of its graphical output matched those of the actual voltage curve recorded in the neuron. The authors demonstrated that, in order for the FHN model to resemble the biological reality as closely as possible, it needs to include dependence on external currents. This property provides valuable insights into the dynamics of coupled neuronal systems.
About this neuroscience research article
Source: Sabine Lehr – Springer
Image Source: This NeuroscienceNews.com image is in the public domain.
Original Research: Abstract for “A correspondence between the models of Hodgkin-Huxley and FitzHugh-Nagumo revisited” by Eugene B. PostnikovE and Olga V. Titkova in European Physics Journal Plus. Published online November 24 2016 doi:10.1140/epjp/i2016-16411-1

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