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The research will evaluate possible clinical and individual brain topographic features affecting the outcome in subthalamic deep brain stimulation (DBS) with patients with Parkinson's disease (PD). The patient cohort consists 35 PD patients treated with subthalamic DBS in 2020-2022. The clinical features (such as age, disease duration, response to levodopa in the levodopa challenge test) will be evaluated retrospectively from the medical records and brain topographic features from the preoperative 3 Tesla brain imaging.
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Subthalamic deep brain stimulation (STN-DBS) is known to enhance motor function in advanced Parkinson's disease and to enable a significant reduction of the use of anti-Parkinsonian medication. A levodopa challenge test is considered as a good predictor of DBS outcome, as well as disease duration. There are heterogenous findings on the age effect on DBS outcome. In recent years, the effect of STN's connectivity with other brain areas on DBS outcome have drawn more attention. The study aim was to evaluate, alongside the clinical predictors, the effect of the patients' individual brain topography on DBS outcome.
The medical records of 35 patients with PD was used to analyze DBS outcome measured with the following scales: Unified Parkinson's Disease Questionnaire, use of anti-Parkinsonian medication (LEDD), Abnormal Involuntary Movement Scale, Beck Depression Inventory, Parkinson's Disease Questionnaire 39, Non-Motor Symptoms Questionnaire. The 3 Tesla preoperative brain MRI images were analyzed with MATLAB for morphometric differences.
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35 participants in 1 patient group
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Data sourced from clinicaltrials.gov
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