BackgroundEmotional disorders in adolescents have emerged as a prominent issue in recent years. Current mainstream clinical assessment approaches for such conditions predominantly rely on interviews and rating scales， which are limited by inherent drawbacks such as high subjectivity and recall bias. Accordingly， there exists an urgent clinical need for the development of objective， quantifiable auxiliary diagnostic tools.In previous studies， frontal electroencephalography （EEG） has demonstrated significant value in assessing depressive and anxiety. However， the lack of standardized quantitative metrics and intuitive visual analytical approaches has severely restricted clinical interpretability of EEG data and diminished patient engagement. To address these key limitations， the present study proposes an innovative analytical framework that converts frontal EEG signals into quantifiable visual metrics to enhance clinical comprehension and acceptance. ObjectiveTo explore the value of frontal EEG in assessing anxiety， depression， and sleep quality in adolescents with emotional disorders， with the aim of providing objective auxiliary tools for clinical diagnosis and assessment of adolescents with emotional disorders. MethodsThis cross-sectional study recruited 105 adolescents aged 12-18 years who visited the outpatient department of a specialized mental hospital in Beijing from April 2023 to April 2024. All participants met the diagnostic criteria for mood （affective） disorders or anxiety disorders in the International Classification of Diseases， tenth edition （ICD-10）. Frontal EEG signals were collected within a big data analytics-driven framework and further processed by EEG system to generate six quantitative cerebral function indices， namely brain load， tension and excitement， emotional stress， sleepiness index， cerebral vitality， and cerebral fatigue. In addition， validated standardized scales， including the Self-rating Anxiety Scale （SAS）， the Self-rating Depression Scale （SDS）， and the Pittsburgh Sleep Quality Index （PSQI）， were administered for anxiety， depressive symptoms， and sleep quality， respectively. ResultsIn adolescent patients with emotional disorders， the SAS score exhibited significant positive correlations with brain load （r_s=0.328， P<0.01）， emotional stress （r_s=0.341， P<0.01）， and cerebral fatigue （r_s=0.286， P<0.01）. The SDS score was positively correlated with brain load （r_s=0.275， P<0.01）， emotional stress （r_s=0.241， P<0.05）， and cerebral fatigue （r_s=0.311， P<0.01）， while showing a significant negative correlation with cerebral vitality （r_s=-0.212， P<0.05）. Additionally， the PSQI total score demonstrated positive correlations with brain load （r_s=0.340， P<0.01）， emotional stress （r_s=0.322， P<0.01）， and cerebral fatigue （r_s=0.229， P<0.05）. ConclusionFrontal EEG-derived indices， including brain load， emotional stress， cerebral fatigue and cerebral vitality， may serve as objective markers for reflecting anxiety， depression， and sleep quality in adolescents with emotional disorders. ［Funded by Beijing High level Innovation and Entrepreneurship Talent Support Program （number， 202504841041）； Horizontal Joint Project］

[Purpose]To analyze the trends of brain tumor incidence and age of onset in cancer registration areas of Jiangsu Province from 2009 to 2019.[Methods]The incidence data of brain tumors from 2009 to 2019 were obtained from 16 national cancer registration areas of Jiangsu Province.The crude incidence rate,age-standardized incidence rate by Chinese standard popula-tion(ASIRC),average age of onset,standardized age-specific incidence rate,and annual average percentage change(AAPC)by sexes and regions were calculated.[Results]The incidence rate of brain tumor in Jiangsu Province from 2009 to 2019 showed an increasing trend(AAPC=4.12％,95％CI:3.31％～4.95％),and the increase in female(AAPC=5.79％,95％CI:4.44％～7.15％)was higher than that in male(AAPC=2.31％,95％CI:1.66％～2.97％);and the increase in urban areas(AAPC=4.84％,95％CI:3.52％～6.18％)was higher than that in rural areas(AAPC=3.04％,95％CI:2.12％～3.98％).The ASIRC also showed an increasing trend(AAPC=2.14％,95％CI:1.27％～3.02％).Birth cohort analysis showed that within the same age group,the incidence rate of brain tumors increased with increasing birth years.The average age of onset for crude incidence showed a delaying trend of 0.43 years old per year(t=7.09,P＜0.001);that for ASIRC was 0.20 years old per year(t=3.33,P=0.009).The proportion of patients in the age group of 60 years old and above increased from 35.79％in 2009 to 44.18％in 2019.[Conclusion]The incidence of brain tumor in cancer registration areas of Jiangsu Province showed an increasing trend from 2009 to 2019 with a delaying trend of average age of onset.

This paper reviews the published articles of recent years on the application of deep learning methods in automatic localization of acupoint, and summarizes it from 3 key links, i.e. the dataset construction, the neural network model design, and the accuracy evaluation of acupoint localization. The significant progress has been obtained in the field of deep learning for acupoint localization, but the scale of acupoint detection needs to be expanded and the precision, the generalization ability, and the real-time performance of the model be advanced. The future research should focus on the support of standardized datasets, and the integration of 3D modeling and multimodal data fusion, so as to increase the accuracy and strengthen the personalization of acupoint localization.
Deep Learning ; Acupuncture Points ; Humans ; Neural Networks, Computer

This paper presents an automatic acquisition and analytic procedure of acupuncture manipulation based on optical navigation, aiming at solving the shortcomings of existing acquisition methods of acupuncture manipulation. An acquisition holder installed at the handle tail of filiform needle was designed to display the movement trajectory of the needle during acupuncture delivery by collecting the movement trajectory of holder. The 3-month old male Bama miniature pig was selected as the experimental subject, and 6 points, "Bojian" "Qiangfeng" "Housanli" "Xiaokua" "Huiyang" (BL35) and "Baihui" (GV20), were selected during acupuncture manipulation. The optical navigation system was used to collect the real-time data, and these data were per-processed and analyzed using mean filtering and Fourier transform. The acupuncture procedure was divided into 3 stages, inserting, lifting-thrusting, and twisting. The results showed that the accuracy was 96.3% at lifting-thrusting stage, and that was 100.0% at twisting stage. The decomposition effect of the entire procedure was satisfactory. This study provides a new approach to the quantitative analysis of acupuncture manipulation. In the future, it needs to further optimize the algorithm and expand the sample size so as to improve the accuracy of this analytic technique.
Acupuncture Therapy/methods* ; Male ; Animals ; Swine ; Acupuncture Points ; Humans ; Swine, Miniature ; Needles

Capturing and replicating experts'acupuncture manipulation techniques is a crucial aspect in inheriting acupuncture manipulation techniques.The precision,stability and real-time performance during the capturing process will directly impact the quality of the technique replication.This article summarized the methods and application status of acupuncture technique capturing from the aspects of acupuncture technique measuring instrument,visual collection,and tactile collection,and analyzed the shortcomings of current research,further explored the application prospect of motion capture technologies such as optical technology and electromagnetic navigation technology in acupuncture manipulation acquisition,and provided references for acupuncture manipulation acquisition research.

[Purpose]To analyze the trends of brain tumor incidence and age of onset in cancer registration areas of Jiangsu Province from 2009 to 2019.[Methods]The incidence data of brain tumors from 2009 to 2019 were obtained from 16 national cancer registration areas of Jiangsu Province.The crude incidence rate,age-standardized incidence rate by Chinese standard popula-tion(ASIRC),average age of onset,standardized age-specific incidence rate,and annual average percentage change(AAPC)by sexes and regions were calculated.[Results]The incidence rate of brain tumor in Jiangsu Province from 2009 to 2019 showed an increasing trend(AAPC=4.12％,95％CI:3.31％～4.95％),and the increase in female(AAPC=5.79％,95％CI:4.44％～7.15％)was higher than that in male(AAPC=2.31％,95％CI:1.66％～2.97％);and the increase in urban areas(AAPC=4.84％,95％CI:3.52％～6.18％)was higher than that in rural areas(AAPC=3.04％,95％CI:2.12％～3.98％).The ASIRC also showed an increasing trend(AAPC=2.14％,95％CI:1.27％～3.02％).Birth cohort analysis showed that within the same age group,the incidence rate of brain tumors increased with increasing birth years.The average age of onset for crude incidence showed a delaying trend of 0.43 years old per year(t=7.09,P＜0.001);that for ASIRC was 0.20 years old per year(t=3.33,P=0.009).The proportion of patients in the age group of 60 years old and above increased from 35.79％in 2009 to 44.18％in 2019.[Conclusion]The incidence of brain tumor in cancer registration areas of Jiangsu Province showed an increasing trend from 2009 to 2019 with a delaying trend of average age of onset.

Capturing and replicating experts'acupuncture manipulation techniques is a crucial aspect in inheriting acupuncture manipulation techniques.The precision,stability and real-time performance during the capturing process will directly impact the quality of the technique replication.This article summarized the methods and application status of acupuncture technique capturing from the aspects of acupuncture technique measuring instrument,visual collection,and tactile collection,and analyzed the shortcomings of current research,further explored the application prospect of motion capture technologies such as optical technology and electromagnetic navigation technology in acupuncture manipulation acquisition,and provided references for acupuncture manipulation acquisition research.

OBJECTIVE: To evaluate the performance of a newly developed intelligent acupuncture robot that simulates human manual acupuncture techniques through an animal experiment using miniature pigs. METHODS: Two 3-month-old Bama miniature pigs were selected. One pig was used for the manual needling techniques of the practitioner, and the other pig was used for the intelligent acupuncture robot. The acupoints selected were "Qiangfeng" "Bojian" "Xiaokua" "Huiyang" (BL 35) and "Baihui" (GV 20), with a straight insertion depth of 25-35 mm. The manipulation techniques, including lifting-thrusting and twisting at a frequency of 90 times/min, were applied for 1 min, with 30 s each for lifting-thrusting (10 mm amplitude) and twisting (180° angle). The practitioner's needling techniques were captured using an optical motion capture system, and the collected data were input into the intelligent acupuncture robot for replication on the second miniature pig. A complete needling session of five acupoints was considered one round, and three rounds were performed per session, every other day, for a total of five sessions, completing 15 rounds. The Fréchet distance method was used to compare the robot's replicated needling data with the practitioner's data, and curve fitting analysis was conducted to evaluate the robot's performance and precision. RESULTS: The intelligent acupuncture robot achieved a total completion rate of 96.00% for 75 needling operations, with a non-completion rate of 4.00%. The robot's replication of the practitioner's needling techniques showed a good fit, with many characteristic points overlapping. The average Fréchet distance was 18.67. The Fréchet distance for the lifting-thrusting and twisting techniques at Baihui (GV 20) and "Huiyang" (BL 35) acupoints was smaller than that at "Xiaokua" and "Qiangfeng" points (P<0.01). The accuracy of the lifting-thrusting technique at "Xiaokua" and "Qiangfeng" acupoints was lower than the twisting technique (P<0.01). CONCLUSION The intelligent acupuncture robot is able to replicate the pre-recorded manual needling parameters with a high degree of accuracy.
Animals ; Swine ; Swine, Miniature ; Acupuncture Therapy/methods* ; Robotics/instrumentation* ; Humans ; Acupuncture Points ; Female ; Male

The construction of experimental animal models plays an important supporting role in research into the mechanisms of action of Chinese medicines.There have been increasing reports of the construction and evaluation of animal models of spleen deficiency;however,the construction method have involved different standards and there has been insufficient objectification of the evaluation indexes.In this review,we summarize the construction and evaluation method of animal models of spleen deficiency from the aspects of animal selection,model establishment,macroscopic characterization,behavioral experiments,and objective indexes of spleen deficiency,with a view to providing theoretical guidance for the construction of experimental animal models of spleen deficiency and references for the selection of animal model platforms for spleen deficiency.

Objective This study aimed to develop an experimental animal platform for evaluating the feasibility and safety of intelligent acupuncture robots and to lay the foundation for further research.Methods Six 2-month-old Guangxi Bama miniature pigs were used as experimental subjects for acupuncture verification after anesthesia.First,manual acupuncture verification was carried out.Six acupoints were selected for each experimental animal and the needles were left for 20 min after the lifting,inserting,and twisting manipulation.Before and after controls were included.The experiment was carried out for 28 days,and each experiment was conducted once every 2 days for a total of 10 times.After verification of manual acupuncture,a point 10 mm from each of the six selected acupoints was selected,with a total of 12 points,and acupuncture operations were carried out on the experimental animals using the intelligent acupuncture module of the acupuncture robot at different frequencies and angles,to further verify the stability and feasibility of the animal platform.Results Routine safety-related blood indicators and blood biochemistry indicators after the procedure were normal and stable compared with those before the procedure.The average heart rate of the animals was 124 beats/min,the average blood pressure was 87/36 mmHg,and the average body temperature of was 36℃at a room temperature of 25℃,with no significant change in body temperature during and after the experiment.On the basis of this experimental platform,acupuncture manipulation using the intelligent acupuncture module of the acupuncture robot was completed successfully,with no abnormalities related to acupuncture such as bending,breaking,or stagnation of needles during the experimental process,and the experimental animals showed no obvious abnormalities.Conclusions This study established a stable experimental animal platform for evaluating the feasibility and safety of acupuncture carried out by intelligent acupuncture robots,based on the existing experimental method of miniature pigs.These result lay a foundation for further research related to the use of intelligent acupuncture robots.