Investigation of coherence between limbic structures in a rodent model of Parkinson's Disease

Detta är en Magister-uppsats från Umeå universitet/Institutionen för psykologi

Sammanfattning: Parkinson’s Disease affects 10 million people worldwide, with 40% of patients developing an associated psychosis which has been identified by studies as the number one source of caretaker distress and is related to increased mortality. This is further complicated by the fact that typical antipsychotic drugs worsen many of the motor symptoms implicated in Parkinson’s Disease, with only one commercially available drug able to ameliorate both symptoms. This problem ushers the development of novel drugs to treat these symptoms, as first tested on research animals. Complicating matters, drug effectiveness on the degree of psychosis is hard to obtain in animals without a reliable biomarker. However, a hallmark of psychotic states is thought to be the reduced coordination between brain structures, through neuronal synchronization, as demonstrated by steady-state responses and is suggested to be a potential biomarker of psychosis. By building a MATLAB software we were able to analyze the degree of neural synchronization between structures, during an auditory steady-state response, in rats that had been unilaterally lesioned by the 6-Hydroxydopamine model of Parkinson’s Disease, before and after administration of the psychotomimetic drug MK801. These rats had been chronically implanted with 128-channel multi electrode array, enabling us to measure the strength of coherence between several limbic structures, associated with auditory processing, from the sampled local field potential, identifying the degree of synchronization in the animal brain. As our data demonstrate that coherence levels dropped in the psychotic drug state, for structures in both the healthy and the Parkinsonian hemisphere, we are able to further demonstrate the validity of coherence measures as a biomarker for psychosis. These results demonstrate that our software can be used as a tool to assess the therapeutic response of drugs developed, aimed at treating Parkinson’s associated psychosis.

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