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采用适应性神经调节治疗严重难治性精神障碍的理由。

The Case for Adaptive Neuromodulation to Treat Severe Intractable Mental Disorders.

作者信息

Provenza Nicole R, Matteson Evan R, Allawala Anusha B, Barrios-Anderson Adriel, Sheth Sameer A, Viswanathan Ashwin, McIngvale Elizabeth, Storch Eric A, Frank Michael J, McLaughlin Nicole C R, Cohn Jeffrey F, Goodman Wayne K, Borton David A

机构信息

Brown University School of Engineering, Providence, RI, United States.

Charles Stark Draper Laboratory, Cambridge, MA, United States.

出版信息

Front Neurosci. 2019 Feb 26;13:152. doi: 10.3389/fnins.2019.00152. eCollection 2019.

Abstract

Mental disorders are a leading cause of disability worldwide, and available treatments have limited efficacy for severe cases unresponsive to conventional therapies. Neurosurgical interventions, such as lesioning procedures, have shown success in treating refractory cases of mental illness, but may have irreversible side effects. Neuromodulation therapies, specifically Deep Brain Stimulation (DBS), may offer similar therapeutic benefits using a reversible (explantable) and adjustable platform. Early DBS trials have been promising, however, pivotal clinical trials have failed to date. These failures may be attributed to targeting, patient selection, or the "open-loop" nature of DBS, where stimulation parameters are chosen during infrequent visits to the clinician's office that take place weeks to months apart. Further, the tonic continuous stimulation fails to address the dynamic nature of mental illness; symptoms often fluctuate over minutes to days. Additionally, stimulation-based interventions can cause undesirable effects if applied when not needed. A responsive, adaptive DBS (aDBS) system may improve efficacy by titrating stimulation parameters in response to neural signatures (i.e., biomarkers) related to symptoms and side effects. Here, we present rationale for the development of a responsive DBS system for treatment of refractory mental illness, detail a strategic approach for identification of electrophysiological and behavioral biomarkers of mental illness, and discuss opportunities for future technological developments that may harness aDBS to deliver improved therapy.

摘要

精神障碍是全球致残的主要原因,现有的治疗方法对常规治疗无反应的严重病例疗效有限。神经外科干预措施,如毁损手术,已显示出在治疗难治性精神疾病病例方面取得成功,但可能有不可逆的副作用。神经调节疗法,特别是深部脑刺激(DBS),可能使用可逆(可植入)和可调节平台提供类似的治疗益处。早期的DBS试验很有前景,然而,迄今为止关键的临床试验都失败了。这些失败可能归因于靶点选择、患者选择或DBS的“开环”性质,即刺激参数是在相隔数周或数月的不频繁门诊就诊时选择的。此外,持续的强直性刺激未能解决精神疾病的动态性质;症状通常在数分钟到数天内波动。此外,如果在不需要时应用基于刺激的干预措施,可能会产生不良影响。响应式、自适应DBS(aDBS)系统可以通过根据与症状和副作用相关的神经特征(即生物标志物)调整刺激参数来提高疗效。在此,我们阐述了开发用于治疗难治性精神疾病的响应式DBS系统的基本原理,详细介绍了识别精神疾病电生理和行为生物标志物的战略方法,并讨论了未来技术发展的机会,这些发展可能利用aDBS提供更好的治疗。

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