ABSTRACT
Acupuncture and Tuina are the main non-drug therapies for low back pain, which are recommended by the guidelines. Acupuncture and Tuina can alleviate pain, which is regarded as conditional specific outcome, and improve mental, emotional problems, as non-conditional specific outcomes. There are some problems of the outcome assessment of acupuncture and Tuina treatment for pain such as insufficient evaluation of specific effect and unclear evaluation of characteristic outcome. Therefore, the key to above problems is to construct a Specific ouTcomE Assessment Modal of acupuncture and Tuina treatment for pain (STEAM-A&T) based on the qualitive and quantitative methods. By describing the experience, narrative expression, feelings and needs of patients who receiving acupuncture and Tuina treatment, the item banks of acupuncture and Tuina treatment effect are constructed, and the characteristic outcome of acupuncture and Tuina for pain will be screened, and then the relationship model among outcomes is constructed and optimized, which reflected the characteristics of acupuncture and Tuina for pain from multiple dimensions, multiple levels and multiple views. We reveal the relationship between the outcome of acupuncture and Tuina for pain. It will provide a new theory and methods for the construction of specific outcome assessment modal of Traditional Chinese Medicine.
ABSTRACT
@#Objective To explore the changes of resting state default mode network (DMN) in patients with chronic pain caused by cervical spondylosis (CPCS). Methods 8 healthy controls and 10 patients accepted functional MRI scanning. Surface based DMN was extracted with independent component analysis (ICA). The functional connectivity of the components of DMN were discriminated with support vector machine (SVM) algorithm from the patients to the controls. Results The DMN connectivity was different in the patients from the controls in some of the component areas. Conclusion DMN of CPCS patients is disorder in multiple brain areas, which may be involved with dysfunction of perception processing, emotion and memory.
ABSTRACT
Objective To explore the changes of resting state default mode network (DMN) in patients with chronic pain caused by cer-vical spondylosis (CPCS). Methods 8 healthy controls and 10 patients accepted functional MRI scanning. Surface based DMN was extract-ed with independent component analysis (ICA). The functional connectivity of the components of DMN were discriminated with support vector machine (SVM) algorithm from the patients to the controls. Results The DMN connectivity was different in the patients from the con-trols in some of the component areas. Conclusion DMN of CPCS patients is disorder in multiple brain areas, which may be involved with dysfunction of perception processing, emotion and memory.