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Magnetic resonance imaging for chronic pain: diagnosis, manipulation, and biomarkers
Tu, Yiheng1,2; Cao, Jin3,4; Bi, Yanzhi1,2; Hu, Li1,2,5
First AuthorTu, Yiheng
Correspondent Emailhuli@psych.ac.cn
Contribution Rank1
Abstract

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.

Keywordchronic pain magnetic resonance imaging biomarkers machine learning
2020-11-23
Language英语
DOI10.1007/s11427-020-1822-4
Source PublicationSCIENCE CHINA-LIFE SCIENCES
ISSN1674-7305
Pages18
Subtype实证研究
Indexed BySCI
Funding ProjectNational 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]
PublisherSCIENCE PRESS
WOS KeywordDYNAMIC 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
WOS Research AreaLife Sciences & Biomedicine - Other Topics
WOS SubjectBiology
WOS IDWOS:000593842100002
Citation statistics
Document Type期刊论文
Identifierhttp://ir.psych.ac.cn/handle/311026/33445
Collection中国科学院心理健康重点实验室
Corresponding AuthorHu, Li
Affiliation1.Chinese Acad Sci, Inst Psychol, Key Lab Mental Hlth, Beijing 100101, Peoples R China
2.Univ Chinese Acad Sci, Dept Psychol, Beijing 100101, Peoples R China
3.Massachusetts Gen Hosp, Dept Psychiat, Boston, MA 02129 USA
4.Harvard Med Sch, Boston, MA 02129 USA
5.Guangzhou Med Univ, Affiliated Hosp 2, State Key Clin Specialty Pain Med, Dept Pain Management, Guangzhou 510260, Peoples R China
First Author AffilicationKey Laboratory of Mental Health, CAS
Corresponding Author AffilicationKey Laboratory of Mental Health, CAS
Recommended Citation
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.
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