Magnetic resonance imaging for chronic pain: diagnosis, manipulation, and biomarkers
文献类型：期刊论文
| 作者 | Tu, Yiheng1,3 ; Cao, Jin2,5; Bi, Yanzhi1,3; Hu, Li1,3,4
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| 刊名 | SCIENCE CHINA-LIFE SCIENCES
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| 出版日期 | 2020-11-23 |
| 页码 | 18 |
| 关键词 | chronic pain magnetic resonance imaging biomarkers machine learning |
| ISSN号 | 1674-7305 |
| DOI | 10.1007/s11427-020-1822-4 |
| 通讯作者 | Hu, Li(huli@psych.ac.cn) |
| 英文摘要 | Pain is a multidimensional subjective experience with biological, psychological, and social factors. Whereas acute pain can be a warning signal for the body to avoid excessive injury, long-term and ongoing pain may be developed as chronic pain. There are more than 100 million people in China living with chronic pain, which has raised a huge socioeconomic burden. Studying the mechanisms of pain and developing effective analgesia approaches are important for basic and clinical research. Recently, with the development of brain imaging and data analytical approaches, the neural mechanisms of chronic pain have been widely studied. In the first part of this review, we briefly introduced the magnetic resonance imaging and conventional analytical approaches for brain imaging data. Then, we reviewed brain alterations caused by several chronic pain disorders, including localized and widespread primary pain, primary headaches and orofacial pain, musculoskeletal pain, and neuropathic pain, and present meta-analytical results to show brain regions associated with the pathophysiology of chronic pain. Next, we reviewed brain changes induced by pain interventions, such as pharmacotherapy, neuromodulation, and acupuncture. Lastly, we reviewed emerging studies that combined advanced machine learning and neuroimaging techniques to identify diagnostic, prognostic, and predictive biomarkers in chronic pain patients. |
| WOS关键词 | DYNAMIC FUNCTIONAL CONNECTIVITY ; INTRINSIC BRAIN CONNECTIVITY ; DIRECT-CURRENT STIMULATION ; LOW-BACK-PAIN ; RIGHT FRONTOPARIETAL NETWORK ; RESTING-STATE CONNECTIVITY ; CHRONIC PELVIC PAIN ; WHITE-MATTER ; DOUBLE-BLIND ; FIBROMYALGIA PATIENTS |
| 资助项目 | National Natural Science Foundation of China[32071061] ; National Natural Science Foundation of China[31822025] ; National Natural Science Foundation of China[31671141] ; National Natural Science Foundation of China[31800926] ; Scientific Foundation of Institute of Psychology, Chinese Academy of Sciences[E0CX521003] |
| WOS研究方向 | Life Sciences & Biomedicine - Other Topics |
| 语种 | 英语 |
| WOS记录号 | WOS:000593842100002 |
| 出版者 | SCIENCE PRESS |
| 源URL | [http://ir.psych.ac.cn/handle/311026/33445]  |
| 专题 | 心理研究所_中国科学院心理健康重点实验室 中国科学院心理研究所 |
| 通讯作者 | Hu, Li |
| 作者单位 | 1.Univ Chinese Acad Sci, Dept Psychol, Beijing 100101, Peoples R China 2.Harvard Med Sch, Boston, MA 02129 USA 3.Chinese Acad Sci, Inst Psychol, Key Lab Mental Hlth, Beijing 100101, Peoples R China 4.Guangzhou Med Univ, Affiliated Hosp 2, State Key Clin Specialty Pain Med, Dept Pain Management, Guangzhou 510260, Peoples R China 5.Massachusetts Gen Hosp, Dept Psychiat, Boston, MA 02129 USA |
| 推荐引用方式 GB/T 7714 | Tu, Yiheng,Cao, Jin,Bi, Yanzhi,et al. Magnetic resonance imaging for chronic pain: diagnosis, manipulation, and biomarkers[J]. SCIENCE CHINA-LIFE SCIENCES,2020:18. |
| APA | Tu, Yiheng,Cao, Jin,Bi, Yanzhi,&Hu, Li.(2020).Magnetic resonance imaging for chronic pain: diagnosis, manipulation, and biomarkers.SCIENCE CHINA-LIFE SCIENCES,18. |
| MLA | Tu, Yiheng,et al."Magnetic resonance imaging for chronic pain: diagnosis, manipulation, and biomarkers".SCIENCE CHINA-LIFE SCIENCES (2020):18. |
入库方式： OAI收割
来源：心理研究所
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