Objective To explore the attentional network function in sub-healthy individuals with spleen qi deficiency syndrome.Methods Twenty-seven individuals in the sub-healthy spleen qi deficiency syndrome group were recruited from September 2022 to August 2024 in communities and colleges.Twenty-five healthy controls were also recruited according to the principle of matching age,gender,and years of education components.Attention network tests were performed on subjects in both groups.Results Compared with the control group,the executive control network function value of the spleen qi deficiency syndrome group was significantly decreased(P=0.012).The differences in correct rate,overall reaction time,alert network and orientation network between the two groups were not statistically significant(P＞0.05).The results of correlation analysis showed a significant negative correlation between Health Evaluating Questionnaire H20 V2009 scores and executive control network efficiency of the subjects in the spleen qi deficiency syndrome(P＜0.001),and a positive correlation between the spleen qi deficiency syndrome score and executive control network efficiency(P=0.038).Conclusions Abnormal changes in the executive control of attention in sub-healthy subjects with spleen qi deficiency syndrome were closely related to the severity of the symptoms of spleen qi deficiency,which provided further scientific evidence for the cognitive psychological connotation of the theory of"spleen stores Yi".

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.

Objective To characterize working memory performance in patients with chronic fatigue syndrome(CFS)and spleen-deficiency syndrome and to examine its associations with clinical symptoms by Sternberg working memory task(SWMT).Methods 31 CFS patients meeting both CDC-1994 criteria and consensus criteria for spleen-deficiency pattern were recruited from outpatient clinics and universities from September 2022 and June 2025.31 healthy controls were also recruited based on age,sex,and education.All subjects completed the SWMT.Group differences were analyzed.Within the CFS cohort,reaction time(RT)was correlated with scores on the checklist individual strength(CIS),36-item short-form health survey(sf-36),and fatigue scale-14(FS-14).Mediation was examined.Results RT lengthened with increasing memory load in both groups.CFS patients displayed slower RTs than controls in the baseline and 6-digit set(P<0.05).The 3-digit RT difference,though not significant(P>0.05),yielded a medium effect size(r=0.36).Accuracy did not differ between two groups.Among CFS patients,3-digit RT correlated positively with CIS total and the 4 sub-scale scores.6-digit RT correlated with the SF-36 health-transition dimension(r=0.396,P=0.027).CIS and FS-14 scores directly impaired SF-36 social functioning without working-memory mediating.Conclusion CFS patients with spleen-deficiency exhibit slowed processing speed rather than capacity loss.The close link between working-memory slowing and fatigue suggests a distinct neural basis.These results support the traditional concept"the spleen stores Yi"and integrate TCM pattern differentiation with modern cognitive neuroscience in CFS.

Objective To build the machine learning classification model for sub-health patients with spleen qi deficiency syndrome and kidney qi deficiency syndrome based on degree centrality characteristics.Methods A total of 80 sub-healthy subjects were included,including 40 subhealth patients with spleen qi de ficiency syndrome and 40 subhealth patients with kidney qi deficiency syndrome were enrolled and underwent resting-state functional magnetic resonance imaging scans.The DPABI software was used to extract the degree centrality characteristics of all subjects,and a random forest model was used for classification.Results Between the sub-health spleen qi deficiency syndrome group and the sub-health kidney qi deficiency syndrome group,after feature selection,10 degree centrality features were finally obtained:The supplementary eye field,posterior cingulate gyrus,MT+area,pre-supramarginal sulcus,ventromedial visual area,secondary visual cortex,supramarginal sulcus,precuneus,ventral supramarginal gyrus complex and dorsolateral prefrontal cortex.Following hyperparameter optimization and leave-one-out cross-validation,a random forest classification model was obtained with an accuracy rate of 0.71.Conclusion The significant changes in the centrality of brain regions such as the supplementary eye field and posterior cingulate gyrus may be key brain regions underlying the neural mechanism differences between subhealth spleen qi deficiency syndrome and kidney qi deficiency syndrome,providing neuroimaging evidence for the cognitive neural basis differences in traditional Chinese medicine theories of"spleen in storing idea"and"kidney storing will".

Objective To explore the neuroimaging mechanisms of sub-health patients with spleen qi deficiency syndrome based on large-scale brain network resting-state functional connectivity.Methods Thirty-seven sub-health patients with spleen qi deficiency syndrome and 37 healthy controls were enrolled.All subjects underwent resting-state functional magnetic resonance imaging(fMRI)scans.Functional connectivity within and between large-scale brain networks was analyzed and compared between the two groups.The correlation between abnormal changes in brain network functional connectivity in the sub-health spleen qi deficiency syndrome group and spleen qi deficiency syndrome scores was also analyzed.Results Compared with the healthy control group,the sub-health spleen deficiency syndrome group showed significantly reduced functional connectivity within and between brain networks,including the visual network,sensorimotor network,dorsal attention network,frontoparietal network,and default mode network(P<0.05,NBS correction,5000 permutations).Among these,the functional connectivity between the sensorimotor network and the frontoparietal network(r=-0.357,P=0.030)and between the dorsal attention network and the frontoparietal network(r=-0.360,P=0.029)showed a significant negative correlation with the spleen qi deficiency syndrome score.Conclusion Abnormal changes in functional connectivity within and between large-scale brain networks in sub-health patients with spleen deficiency syndrome provide further neuroimaging evidence for the cognitive psychological connotation of the"spleen in storing idea"theory.

Objective To explore the neuroimaging mechanisms of cognitive impairment in sub-health patients with spleen qi deficiency syndrome and kidney qi deficiency syndrome using independent component analysis.Methods 40 sub-health patients with spleen qi deficiency syndrome and 40 kidney qi deficiency syndrome were recruited.All subjects underwent repeated neuropsychological testing and resting-state functional magnetic resonance imaging(fMRI)scans.Independent component analysis was used to compare functional connectivity differences between the two groups of subjects in the default mode network(DMN),frontoparietal network(FPN),dorsal attention network(DAN),and executive control network(ECN).The relationship between the differences in functional connectivity and cognitive function in the two groups of patients was also analyzed.Results In sub-health patients with spleen deficiency syndrome,the DMN included six brain regions,including the bilateral superior parietal lobule,left inferior occipital gyrus,and left lingual gyrus.The FPN included four brain regions,including the left superior parietal gyrus and the left caudate nucleus,the DAN included two brain regions,including the right superior temporal gyrus and the left medial frontal gyrus,and the ECN included the left central parietal lobule.The functional connectivity between the spleen qi deficiency syndrome symptom score and the left middle temporal gyrus and right superior temporal gyrus showed a significant positive correlation(r=0.371,P=0.028).In sub-health kidney qi deficiency syndrome patients,the DMN included six brain regions,including the left superior temporal gyrus,left precuneus,and right angular gyrus,the FPN included three brain regions,including the right middle temporal gyrus and right superior temporal gyrus,the DAN included four brain regions,including the right wedge lobe and the left medial frontal superior gyrus,and the ECN included the left central paracentral lobule and the right central posterior gyrus.Among these,the functional connectivity between the left wedge lobe and the left frontal middle gyrus showed a significant positive correlation with the syndrome score of kidney qi deficiency(r=0.404,P=0.016).Conclusion Sub-health patients with spleen qi deficiency syndrome and kidney qi deficiency syndrome exhibit different neuroimaging bases for cognitive impairment,providing neuroimaging evidence to elucidate the differences in the cognitive psychological connotation of the theories of"spleen in storing idea"and"kidney storing will".

Objective To investigate their potential differences in brain functional characteristics from a neuroimaging perspective,functional magnetic resonance imaging(fMRI)was employed.Methods Twenty chronic fatigue syndrome(CFS)patients were recruited and underwent assessments of traditional Chinese medicine(TCM)syndrome patterns,fatigue severity scores,and resting-state fMRI scans.First,correlation analysis was performed between fatigue scores and TCM symptom scores.Symptom clusters significantly associated with fatigue were categorized into spleen deficiency and liver stagnation groups.Principal component analysis(PCA)was then applied to identify the dominant symptom components for each group.These components were subsequently mapped onto whole-brain functional activity to compare the neural signatures between the two syndromes.Finally,the brain functional profiles of spleen deficiency and liver stagnation were compared with publicly available neurotransmitter receptor maps to explore their distinct neurochemical substrates.Results Symptoms correlated with fatigue severity included exhaustion,dizziness,chest tightness,bitter taste in the mouth,epigastric fullness,poor appetite,irritability,lumbar soreness,sallow complexion,dry eyes,and five-center-heat.The brain mapping results revealed that spleen deficiency-related symptoms(poor appetite,sallow complexion,reduced food intake,dizziness)were primarily associated with the left thalamus and left parahippocampal gyrus.Liver stagnation-related symptoms(dry eyes,chest tightness,irritability,bitter taste)were linked to the left parahippocampal gyrus and right middle occipital gyrus(lingual region).The functional brain spectrum of the two syndromes showed significant negative correlations.Moreover,the spleen deficiency spectrum was closely associated with vesicular acetylcholine transporter(VAChT)receptor density.The liver stagnation spectrum correlated with D2 dopamine receptor density.Both spectrums were significantly related to glucose metabolic density but exhibited opposing directional trends.Conclusion CFS patients with spleen deficiency and liver stagnation demonstrate distinct central functional activities and neurochemical substrates,along with opposing brain activity patterns.Clinically,differentiating between these two syndrome patterns is critical for applying targeted TCM interventions.

Objective To explore the characteristics of fluid flow within loaded osteons under different boundary conditions.Methods The COMSOL Multiphysics software was used to establish a three-dimensional(3D)finite element model of osteons with different boundary conditions,and the variation rules of pore pressure and flow velocity of osteons under different inner wall pulsating blood pressures and outer wall elastic constraint conditions were analyzed.Results As the pulsatile blood pressure inside the osteon increased from 0 mmHg(1 mmHg=0.133 kPa)to 300 mmHg,the peak pore pressure within the osteon correspondingly increased from 26 kPa to 68 kPa.As the elastic constraint on the outer wall of osteons changed from being completely elastic to completely constrained,the peak pore pressure within osteons increased from 15 kPa to 26 kPa,and the peak flow velocity increased from 0.04 um/s to 0.07 um/s.Conclusions This study reveals the influence laws of changes in boundary conditions such as the pulsatile blood pressure on the inner wall and the elastic constraint on the outer wall of osteons on fluid flow characteristics within loaded osteons.These findings are conducive to a deeper understanding of the mechanical response mechanisms of bone tissues in both physiological and pathological states,and provide an important theoretical basrs for further researches on bone mechanotransduction.

Objective:To explore the application value of problem-based learning (PBL) combined with mini-clinical evaluation exercise (Mini-CEX) in the development of post competency for interns in the Department of Neurology.Methods:A total of 56 interns rotating at the Department of Neurology of The First Affiliated Hospital of Chongqing Medical University from June 2023 to January 2024 were enrolled as the study subjects. They were randomly divided into a control group and an experiment group using the random number table method, with 28 interns in each group. The control group received traditional methods including small lectures and teaching rounds, while the experimental group received the PBL teaching method combined with Mini-CEX. The teaching effectiveness was evaluated through theoretical assessments, practical skill evaluations, teacher and student satisfaction surveys, and Mini-CEX scale assessments conducted at the beginning, middle, and end of the rotation for the experimental group. The data were analyzed using SPSS 23.0 software. For continuous data, the independent-samples t test or Mann-Whitney U test was used for comparison between groups. The chi-square test was used for categorical data and the Kruskal-Wallis H test for repeated-measurement data. Results:The theoretical scores [(45.36±2.67) vs. (42.00±4.29), P<0.01] and practical skill scores [(45.11±2.53) vs. (42.39±4.53), P<0.01] were significantly higher in the experimental group compared to the control group. The Mini-CEX score of the experimental group at the end of the rotation was notably higher than that at the beginning of rotation ( P<0.05), and their abilities improved continuously. The satisfaction rates of teachers and students in the experimental group were 71.43% (20/28) and 67.86% (19/28), respectively, which were significantly higher than those in the control group [39.29% (11/28) and 35.71% (10/28), P<0.05]. Conclusions:The teaching model integrating PBL and Mini-CEX can effectively enhance the post competency of interns in the Department of Neurology, thus offering a new perspective for clinical undergraduate teaching.

Objective:To explore the application effects of a four-in-one blended teaching model integrating artificial intelligence, virtual reality, 3D printing, and case-based learning (CBL) in the clinical teaching of spinal tumors.Methods:We divided 89 students on training in the Department of Orthopedics of Peking University Third Hospital from September 2022 to August 2024 into control group ( n=47) and experimental group ( n=42). The control group adopted traditional teaching, and the experimental group adopted the four-in-one teaching model. At the end of clinical teaching, an artificial intelligence test and a questionnaire survey were administered to the students to evaluate the teaching effects. The two groups were compared using the independent samples t-test with the use of SPSS 27.0. Results:The experimental group was superior to the control group with significant improvements in the answer accuracy rate (66.67%, χ2=9.44, P=0.002), learning interest [(4.50±0.63), t=2.75, P=0.007], theoretical knowledge mastery [(4.64±0.69), t=7.74, P<0.001], clinical thinking [(4.48±0.71), t=9.08, P<0.001], practical skills [(4.13±0.89), t=2.69, P=0.009], scientific research innovation [(4.71±0.59), t=9.28, P<0.001], teacher-student interaction [(4.74±0.54), t=12.76, P<0.001], and classroom attention [(4.69±0.52), t=12.64, P<0.001]. At the same time, the students in the experimental group put forward numerous constructive feedback. Conclusions:The four-in-one blended teaching model combining artificial intelligence, virtual reality, 3D printing, and CBL can help undergraduate medical students better recognize and diagnose spinal tumors with a correct clinical thinking path, achieving good teaching effects.