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Dynamic network targeting for closed-loop deep brain stimulation

机译:针对闭环深部大脑刺激的动态网络定位

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Deep brain stimulation (DBS) has gained wide use in movement disorders and remains an area of active research in psychiatric disorders. Recent clinical trial setbacks may reflect clinicians’ trial-and-error approach to selecting stimulation parameters [1]. Newer studies focus on “closed-loop” approaches, where DBS settings are adjusted based on an objective, brain-based readout. Those studies divide roughly into “anatomical” approaches based on targeting stimulation to specific white matter (WM) bundles and “physiologic” approaches that focus on changing pathologic signatures in brain electrical activity. We argue that success in psychiatric applications may require a synthesis of both approaches: individualized anatomically guided electrode placement coupled with biomarker-responsive targeting of network dynamics.
机译:深部脑刺激(DBS)在运动障碍中得到了广泛的应用,并且仍然是精神疾病的积极研究领域。最近的临床试验挫折可能反映了临床医生选择刺激参数的反复试验方法[1]。较新的研究集中在“闭环”方法上,在该方法中,基于客观的,基于大脑的读数来调整DBS设置。这些研究大致分为基于对特定白质(WM)束进行刺激的“解剖学”方法和侧重于改变脑电活动中病理特征的“生理学”方法。我们认为,在精神病学领域的成功可能需要两种方法的综合:个体化的解剖学指导的电极放置以及对网络动力学的生物标志物响应性靶向。

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