A new model of brain circuits bring a new view over the Parkinson’s disease
Due to a model performed by researchers from the Indiana University, scientists will have a better vision of the circuits occurring in the brain of patient with Parkinson’s disease.
Scientists developed a mathematical model of the brain’s circuits which analyzes the electric signals occurring inside the patients’ brain which shows that the overlapped signals sent by the neurons lead to waves of overly synchronized activity in the brain.
Basically, with the help of this mathematical model of the brain, scientists will be able to better understand the way in which the brain functions for the patient, what exactly is going wrong and possibly provide a treatment that can help the patient.
This mathematical model could not have been tested with animals because it can only apply to humans.
Researchers believe that this model will help them develop a complex program through which they will be able to stimulate the brain of the patients with Parkinson’s disease and in this way provide therapy help for them. As the lead author of the study declared, the science world has the necessary tools for providing this therapy to patients, but researchers just have to figure out which part of the brain to analyze.
Parkinson’s disease is a disorder occurring at the level of the nervous central system affecting the cells which produce dopamine. The common symptoms are shaking, difficulty in walking and gait and it can also lead to dementia and eventually death.
In the United States annually, 60.000 new cases are diagnosed according to a statistic of the National Institute of Health.
Researchers from all over the world are trying to find a cure for this disorder and if not cure the patients, at least help them ease the symptoms.
The author of this research is Leonid L. Rubchinsky, a professor at the School of Science, IUPUI, teaching mathematical sciences. The research has been funded by the National Insititute of Health, the section of National Institute of Neurological Disorders and Stroke.
The study has been published in the journal “Chaos: An Interdisciplinary Journal of Nonlinear Science”, in the September number. The publication belongs to the American Institute of Physiscs.