Abstract #4390

Abnormal dynamics function network during pain-free period: a resting-state co-activation pattern analysis in primary dysmenorrhea

Huiping Liu¹, Wenyang Wang², Xing Su³, Meiling Shang¹, Jiaxi He⁴, Ling Ma⁵, Lu Quan⁵, Ming Zhang⁶, and Wanghuan Dun⁵

¹School of Future Technology, Xi'an Jiaotong University, Xi'an, China, ²Xi'an Jiaotong University Bachelor of Dental Medicine, Xi'an, China, ³The Key Laboratory of Biomedical Information Engineering of Ministry of Education, Institute of Health and Rehabilitation Science, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, China, ⁴Xi'an Jiaotong University Health Science Center, Xi'an, China, ⁵Rehabilitation Medicine Department, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China, ⁶Department of Medical Imaging, The First Afﬁliated Hospital of Xi’an Jiaotong University, Xi'an, China

Synopsis

Keywords: Head & Neck/ENT, Brain, Co-activation pattern

Motivation: Brain mechanisms for the pain of primary dysmenorrhea (PDM) patients pain remain unclear.

Goal(s): To investigate dynamic brain functional networks in women with PDM during pain-free periods and explore the relationship between brain functional networks and the psycho-emotional states.

Approach: Applied the CAP method to investigate the dynamic network connectivity characteristics of the brain in 59 PDM patients, as compared with 57 healthy controls.

Results: The dynamic interaction of rs-fMRI brain networks in PDM patients were abnormal. The pain of PDM patients may related to the abnormal brain dynamic interaction of brain networks.

Impact: This study provided new insights into the neural mechanisms underlying recurrent chronic pain. PDM patients exhibited atypical dynamic interactions within their brain networks during pain-free ovulation cycles, and these alterations corresponded to emotions related to pain.

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