Objective To explore the association between phase angle(PhA)and sarcopenia in middle-aged and elderly patients with type 2 diabetes mellitus(T2DM),and to evaluate its predictive value for the risk of sarcopenia in these patients.Methods We collected data from 356 middle-aged and elderly T2DM patients hospitalized in the Department of Endocrinology,Nanjing Drum Tower Hospital Group Suqian Hospital from March 2022 to June 2024,including 274 patients with diabetes only and 82 patients with T2DM combined with sarcopenia.A Logistic regression analysis was conducted to assess the relationship between phase angle and sarcopenia.The predictive value of PhA for sarcopenia in T2DM patients was analyzed using the receiver operating characteristic(ROC)curve,and the trend of PhA with the severity of sarcopenia in T2DM patients was tested by the Jonckheere-Terpstra method.Results Univariate analysis showed that the PhA value in the T2DM with sarcopenia group was significantly lower than that in the diabetes alone group,with a statistically significant difference(P<0.05).Additionally,height,body mass,body mass index(BMI),waist circumference,arm circumference,calf circumference,fasting insulin,postprandial 2 h insulin,fasting C-peptide,postprandial 2 h C-peptide,triglycerides,albumin,blood urea nitrogen,body composition indicators,6 m walking speed,muscle mass,and muscle strength-related indicators were significantly lower in the T2DM with sarcopenia group compared to the diabetes alone group.Age,duration of diabetes,glycated hemoglobin,25-hydroxyvitamin D[25-(OH)D]were significantly higher in the T2DM with sarcopenia group,with statistically significant differences(P<0.05).Multivariate Logistic regression analysis indicated that,after adjusting for other factors,PhA remained associated with sarcopenia in T2DM patients(P<0.05),with a decreased PhA increasing the risk of sarcopenia.ROC curve analysis showed that the area under the curve(AUC)for PhA predicting sarcopenia in T2DM patients was 0.769(95% CI:0.710-0.829),indicating the predictive efficacy of PhA.Trend analysis demonstrated a significant negative correlation between PhA and the severity of sarcopenia in T2DM patients(P<0.05).Conclusion The PhA is significantly associated with sarcopenia in patients with T2DM.It can serve as an early predictive and diagnostic tool for sarcopenia in individuals with T2DM.

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 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".