Division of Neurosurgery, Department of Surgery, University Health Network and University of Toronto, Toronto, Ontario, Canada,
Division of Neurosurgery, Department of Surgery, University Health Network and University of Toronto, Toronto, Ontario, Canada.
Stereotact Funct Neurosurg. 2022;100(1):14-25. doi: 10.1159/000517873. Epub 2021 Aug 11.
Chronic pain is a debilitating condition that imposes a tremendous burden on health-care systems around the world. While frontline treatments for chronic pain involve pharmacological and psychological approaches, neuromodulation can be considered for treatment-resistant cases. Neuromodulatory approaches for pain are diverse in both modality and target and their mechanism of action is incompletely understood.
The objectives of this study were to (i) understand the current landscape of pain neuromodulation research through a comprehensive survey of past and current registered clinical trials (ii) investigate the network underpinnings of these neuromodulatory treatments by performing a connectomic mapping analysis of cortical and subcortical brain targets that have been stimulated for pain relief.
A search for clinical trials involving pain neuromodulation was conducted using 2 major trial databases (ClinicalTrials.gov and the International Clinical Trials Registry Platform). Trials were categorized by variables and analyzed to gain an overview of the contemporary research landscape. Additionally, a connectomic mapping analysis was performed to investigate the network connectivity patterns of analgesic brain stimulation targets using a normative connectome based on a functional magnetic resonance imaging dataset.
In total, 487 relevant clinical trials were identified. Noninvasive cortical stimulation and spinal cord stimulation trials represented 49.3 and 43.7% of this count, respectively, while deep brain stimulation trials accounted for <3%. The mapping analysis revealed that superficial target connectomics overlapped with deep target connectomics, suggesting a common pain network across the targets.
Research for pain neuromodulation is a rapidly growing field. Our connectomic network analysis reinforced existing knowledge of the pain matrix, identifying both well-described hubs and more obscure structures. Further studies are needed to decode the circuits underlying pain relief and determine the most effective targets for neuromodulatory treatment.
慢性疼痛是一种使人虚弱的疾病,给全世界的医疗保健系统带来了巨大的负担。虽然慢性疼痛的一线治疗包括药物和心理方法,但对于治疗抵抗的病例,可以考虑神经调节。疼痛的神经调节方法在模式和目标上都多种多样,其作用机制尚不完全清楚。
本研究的目的是(i)通过对过去和现在已注册的临床试验进行全面调查,了解疼痛神经调节研究的现状;(ii)通过对已用于缓解疼痛的皮质和皮质下脑目标进行连接组学映射分析,研究这些神经调节治疗的网络基础。
使用 2 个主要的试验数据库(ClinicalTrials.gov 和国际临床试验注册平台)对涉及疼痛神经调节的临床试验进行了搜索。根据变量对试验进行分类,并进行分析,以了解当代研究的概况。此外,还进行了连接组学映射分析,使用基于功能磁共振成像数据集的规范连接组来研究镇痛脑刺激靶点的网络连接模式。
共确定了 487 项相关临床试验。非侵入性皮质刺激和脊髓刺激试验分别占总数的 49.3%和 43.7%,而深部脑刺激试验占不到 3%。映射分析表明,浅层目标的连接组学与深层目标的连接组学重叠,表明在这些目标中有一个共同的疼痛网络。
疼痛神经调节的研究是一个快速发展的领域。我们的连接组网络分析加强了对疼痛矩阵的现有认识,确定了既有描述明确的枢纽,也有更模糊的结构。需要进一步的研究来解码缓解疼痛的回路,并确定神经调节治疗的最有效靶点。