Personalizing and improving the treatment landscape of chronic facial pain with machine learning of multimodal neuroimaging data

通过多模态神经影像数据的机器学习来个性化和改善慢性面部疼痛的治疗方案

• 批准号: 383338
• 负责人: Hung Shih-Ping
• 金额: $ 7.65万
• 依托单位: Krembil Research Institute (Toronto)
• 依托单位国家: 加拿大
• 项目类别: Studentship Programs
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-10-01 至 2020-10-01
• 项目状态: 已结题
• 来源: https://webapps.cihr-irsc.gc.ca/decisions/p/project_details.html?applId=383338&lang=en
• 关键词: Anatomical Magnetic Resonance Imaging; Chronic Pain; Diffusion Tensor Imaging; Facial Pain; Machine Learning; Magnetoencephalography; Multimodal Neuroimaging; Pain Imaging; Surgical Intervention; Trigeminal Neuralgia

One in five Canadians will suffer from long-term pain that is no longer tied to potential tissue injuries; however, there is a severe lack of research on chronic pain. This results in a dire shortage in clinical tools to objectively assess and select prop

五分之一的加拿大人将遭受不再与潜在组织损伤相关的长期疼痛；然而，对慢性疼痛的研究严重缺乏。这导致临床工具的严重短缺，以客观地评估和选择支柱