کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5521220 1545233 2016 6 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Computational Models of Neurological DisorderComputational modeling to advance deep brain stimulation for the treatment of Parkinson's disease
موضوعات مرتبط
علوم زیستی و بیوفناوری بیوشیمی، ژنتیک و زیست شناسی مولکولی بیوتکنولوژی یا زیست‌فناوری
پیش نمایش صفحه اول مقاله
Computational Models of Neurological DisorderComputational modeling to advance deep brain stimulation for the treatment of Parkinson's disease
چکیده انگلیسی

Deep brain stimulation is effective at improving motor symptoms of Parkinson's disease. However, the mechanism of action remains unclear and more efficient approaches to stimulation may improve patient quality of life. Here we review how computational models have been used to understand and advance the therapy. We describe two classes of models: (1) abstract models, which aim to replicate behaviors without simulating exact patient measures, and (2) clinically predictive models, which aim to simulate patient specific parameters. Abstract models can be used to develop novel patterns of stimulation while clinically predictive models can be used to aid clinicians in selecting therapeutic stimulation parameters for each patient. These principles can likely be applied to stimulation therapies for a number of disorders.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Drug Discovery Today: Disease Models - Volume 19, Spring 2016, Pages 31-36
نویسندگان
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