Exploring the regulatory effect of acupuncture for Ningshen Tongqiao on the functional connectivity between the anterior cingulate cortex and the whole brain in the patients with subjective tinnitus based on fMRI. / 基于fMRIåˆæŽ¢å®ç¥žé€šçªæ³•é’ˆåˆºå¯¹ä¸»è§‚æ€§è€³é¸£æ‚£è€ å‰æ‰£å¸¦å›žä¸Žå ¨è„‘åŠŸèƒ½è¿žæŽ¥çš„è°ƒæŽ§ä½œç”¨.

OBJECTIVES: To explore the effect of acupuncture for Ningshen Tongqiao (tranquilizing the spirit and unblocking the orifices) on the functional connectivity (FC) between the anterior cingulate cortex (ACC) and the whole brain in the patients with subjective tinnitus using the resting-state functional magnetic resonance imaging (fMRI). METHODS: Forty patients with subjective tinnitus and 40 healthy subjects were recruited. The patients with subjective tinnitus were treated with acupuncture for Ningshen Tongqiao at Yamen (GV 15) and Baihui (GV 20), as well as Tinggong (SI 19), Touqiaoyin (GB 11) and Shuaigu (GB 8) on the affected side; and Tinggong (SI 19) and Touqiaoyin (GB 11) were attached to the electric acupuncture apparatus and stimulated with disperse-dense wave and 2 Hz/50 Hz in frequency. Acupuncture was operated once daily, 3 times a week and 10 treatments were required. Before and after treatment, the scores of tinnitus evaluation questionnaire (TEQ), tinnitus handicap inventory (THI) and tinnitus visual analogue scale (VAS) were evaluated; and the clinical therapeutic effect was assessed. Separately, the patients with subjective tinnitus received one time of fMRI within 2 days before and after treatment, and the healthy subjects underwent one time of fMRI after enrollment. The bilateral ACC was taken as the region of interest (ROI). Using matlab R2017b software, FC between ACC and the whole brain was calculated. RESULTS: After treatment, the scores of THI, TEQ and VAS were reduced in the subjective tinnitus patients compared with those before treatment (P<0.01); and the total effective rate was 92.5% (37/40). Before treatment, compared with the healthy subjects, FC between the right ACC and the left middle temporal gyrus, the left superior temporal gyrus and the left superior frontal gyrus decreased in the subjective tinnitus patients. FC between the right ACC and the left middle frontal gyrus and the bilateral angular gyrus was dropped, while that between the left ACC and the left middle frontal gyrus, the left thalamus, the left angular gyrus and the left middle temporal gyrus was decreased in the subjective tinnitus patients when compared with the healthy subjects after treatment. Compared with those before treatment, FC between the right ACC and the left lingual gyrus and the left thalamus were declined, and that between the left ACC and the right middle frontal gyrus and the right superior frontal gyrus was decreased in the subjective tinnitus patients after treatment. CONCLUSIONS: Acupuncture can effectively relieve the clinical symptoms of subjective tinnitus patients, and promote the functional re-construction of the auditory regions (temporal lobe, frontal lobe and thalamus) and the emotion-related brain regions.

Intelligent bell facial paralysis assessment: a facial recognition model using improved SSD network.

With the continuous progress of technology, the subject of life science plays an increasingly important role, among which the application of artificial intelligence in the medical field has attracted more and more attention. Bell facial palsy, a neurological ailment characterized by facial muscle weakness or paralysis, exerts a profound impact on patients' facial expressions and masticatory abilities, thereby inflicting considerable distress upon their overall quality of life and mental well-being. In this study, we designed a facial attribute recognition model specifically for individuals with Bell's facial palsy. The model utilizes an enhanced SSD network and scientific computing to perform a graded assessment of the patients' condition. By replacing the VGG network with a more efficient backbone, we improved the model's accuracy and significantly reduced its computational burden. The results show that the improved SSD network has an average precision of 87.9% in the classification of light, middle and severe facial palsy, and effectively performs the classification of patients with facial palsy, where scientific calculations also increase the precision of the classification. This is also one of the most significant contributions of this article, which provides intelligent means and objective data for future research on intelligent diagnosis and treatment as well as progressive rehabilitation.