ISSN: 0970-938X (Print) | 0976-1683 (Electronic)

Biomedical Research

An International Journal of Medical Sciences


Basal ganglia cerebral infarction patient fMRI imaging analysis before and after acupuncture-medicine therapy

Basal ganglia cerebral infarction can cause cerebral vascular dementia, which seriously influence patient’s quality of life. Thus, early prevention and treatment are extremely important. At present, the common methods used for treatment include drug therapy, acupuncture therapy, and rehabilitation treatment, etc. Research found that acupuncture-medicine therapy can significantly improve patient’s prognosis and quality of life. This study applied acupuncture-medicine therapy to treat patients with basal ganglia cerebral infarction, and used functional magnetic resonance imaging (fMRI) technology to observe its clinical curative effect. A total of 80 basal ganglia cerebral infarction patients were randomly divided into four groups. All of the four groups received cerebral infarction drug therapy, including anti-atherosclerosis, lipid regulation, cranial nerve nutrition, and improve cerebral circulation. Group D, as the control group, received routine drug treatment for cerebral infarction. Group A, B, and C were given acupuncture therapy, rehabilitation therapy, and acupuncture plus rehabilitation therapy on the basis of control group. Degree of nervous functional defects (NIHSS), motor function, and activity of daily life were compared. fMRI was performed to observe cerebral cortex activation area under the same stimuli. Four groups showed statistical difference on NIHSS score, clinical efficacy score, Barthel Index score, and SM1 region activation area (P<0.05). Acupuncture-medicine therapy has prominence effect for the treatment of patients with basal ganglia cerebral infarction. fMRI can objectively indicate the cortex recovery, suggesting that it can track functional recovery after treatment and provide a new direction for clinical diagnosis, treatment, and prognosis.

Author(s): Aihong Guo, Fengli Hao, Futai Li, Bingju Wang, Lianfeng Liu, Zhiru Zhao, Chunhong Yao
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