Optimized temporal pattern of brain stimulation designed by computational evolution.
Optimized temporal pattern of brain stimulation designed by computational evolution.
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DOI:
10.1126/scitranslmed.aah3532
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发表时间:
2017-01-04
影响因子:
17.1
通讯作者:
Grill WM
中科院分区:
文献类型:
--
作者:
Brocker DT;Swan BD;So RQ;Turner DA;Gross RE;Grill WM
Brain stimulation is a promising therapy for several neurological disorders, including Parkinson’s disease. Stimulation parameters are selected empirically and are limited to the frequency and intensity of stimulation. We used the temporal pattern of stimulation as a novel parameter of deep brain stimulation to ameliorate symptoms in a parkinsonian animal model and in humans with Parkinson’s disease. We used model-based computational evolution to optimize the stimulation pattern. The optimized pattern produced symptom relief comparable to that from standard high-frequency stimulation (a constant rate of 130 or 185 Hz) and outperformed frequency-matched standard stimulation in the parkinsonian rat and in patients. Both optimized and standard stimulation suppressed abnormal oscillatory activity in the basal ganglia of rats and humans. The results illustrate the utility of model-based computational evolution to design temporal pattern of stimulation to increase the efficiency of brain stimulation in Parkinson’s disease, thereby requiring substantially less energy than traditional brain stimulation.
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影响因子:
5.3
作者:
Baker, Kenneth B.;Zhang, Jianyu;Vitek, Jerrold L.
通讯作者:
Vitek, Jerrold L.
影响因子:
5.3
作者:
Brocker DT;Swan BD;Turner DA;Gross RE;Tatter SB;Koop MM;Bronte-Stewart H;Grill WM
通讯作者:
Grill WM
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