For any treatment to start a deep research and clinical trials has to be made. There are different research methods where one can use to investigate for a deeper knowledge and improve their predictions.
Parkinson’s is one of the diseases that have been funding rapidly and success is getting nearer. The common one used for this research is animal models. Scientists often use mice and rats for their researches as they are very easy to be supplied with. That’s not the only benefit provided to us, in fact 69% of DNA matches with human beings. However, it does take some quality time to grow them in a way the scientists want it to be. Furthermore, Parkinson’s disease is mainly affected on brain regions and can only be reached by brain autopsy. Likewise, cellular models are also used to investigate the biochemical pathways in the Parkinson’s disease. It is instrumental in dissecting and exploring a particular pathogenitic mechanism and the genes or the proteins involved in the brain activity. They are directly targeted to the specific molecular pathways at the basis of the Parkinson’s development.
Since there are ethical issues on this topic, researchers have developed other non-animal methods on researching further about this disease. One of them is computer modelling. Researchers at Rutgers University have developed a computational model that shows the performance during learning in a Parkinson’s patient. It has been demonstrated that the interaction of dopamine with the prefrontal cortex is the key for attentional learning; however the interaction with the basal ganglia is key for motor learning. This has provided researchers to design new experiments for further research.
Also, they use human derived raw materials where the human brain tissues of the patients have been used for better understanding of the disease. One tissue can only be used 50 different studies. Also, researchers in Oxford have created an artificially