ObjectiveTo systematically evaluate the content differences of 4 components in Leonuri Herba granules， reveal the quality fluctuation patterns of products from the same and different manufacturers， providing scientific basis for the optimization of production process and quality control. MethodsHigh performance liquid chromatography-diode array detector-charged aerosol detector（HPLC-DAD-CAD） was employed to determine the contents of 4 components（syringic acid， leonurine hydrochloride， ferulic acid， and stachydrine hydrochloride） in samples from 19 manufacturers（53 batches， 159 boxes）. Additionally， fingerprint profiles were constructed， and the fingerprint dissimilarity（P_S） and relative standard deviation（RSD） of different samples from the same manufacturer were calculated. A principal component analysis（PCA） model was established with P_S and the RSD values of the 4 components as variables to classify the manufacturers. Finally， samples from 5 manufacturers（M1-M5） covering three consistency groups were selected to calculate three quality consistency parameters， namely intra-batch consistency（P_A）， inter-batch consistency（P_B）， and P_S. Then， PCA was performed with P_A， P_B， and P_S of these 5 manufacturers as variables. ResultsThe average total content of the 4 index components per bag across the 19 manufacturers ranged from 41.10 mg to 97.54 mg. Among them， the content of stachydrine hydrochloride（a pharmacopoeial quality control component） was 32.46-72.70 mg per bag， all meeting the requirements of the 2025 edition of the Pharmacopoeia of the People's Republic of China， with RSD of 1.7%-17.1%. The content ranges of the other 3 components were as follows：syringic acid of 1.43-41.92 mg per bag， leonurine hydrochloride of 0.67-11.85 mg per bag， and ferulic acid of 0.11-3.81 mg per bag. Notably， leonurine hydrochloride exhibited the most significant content fluctuation among samples from the same manufacturer（RSD of 4.8%-59.2%）. PCA results showed that the 19 manufacturers could be classified into 3 categories. Samples from 8 manufacturers（M2， M6， M7， M8， M10， M15， M17， M18） demonstrated relatively high consistency， five manufacturers（M3， M9， M12， M13， M14） showed moderate consistency， six manufacturers（M1， M4， M5， M11， M16， M19） exhibited low consistency. The two methods yielded consistent classification results for the 5 representative manufacturers， verifying the reliability of the proposed method. Among these， manufacturer M2 showed the best quality consistency and the highest total content of indicator components among M1-M5. ConclusionThe HPLC-DAD-CAD multi-detector hyphenation technology established in this study enables the accurate detection of 4 components in Leonuri Herba granules. Significant differences in the total content of these four components are observed among products from 19 manufacturers. The application of 2 consistency evaluation methods combined with PCA can effectively classify their consistency into 3 categories， and the classification results of the 2 methods are highly consistent. This study provides scientific basis for the process optimization and quality standard improvement of Leonuri Herba granules.

ObjectiveTo systematically evaluate the content differences of 4 components in Leonuri Herba granules， reveal the quality fluctuation patterns of products from the same and different manufacturers， providing scientific basis for the optimization of production process and quality control. MethodsHigh performance liquid chromatography-diode array detector-charged aerosol detector（HPLC-DAD-CAD） was employed to determine the contents of 4 components（syringic acid， leonurine hydrochloride， ferulic acid， and stachydrine hydrochloride） in samples from 19 manufacturers（53 batches， 159 boxes）. Additionally， fingerprint profiles were constructed， and the fingerprint dissimilarity（P_S） and relative standard deviation（RSD） of different samples from the same manufacturer were calculated. A principal component analysis（PCA） model was established with P_S and the RSD values of the 4 components as variables to classify the manufacturers. Finally， samples from 5 manufacturers（M1-M5） covering three consistency groups were selected to calculate three quality consistency parameters， namely intra-batch consistency（P_A）， inter-batch consistency（P_B）， and P_S. Then， PCA was performed with P_A， P_B， and P_S of these 5 manufacturers as variables. ResultsThe average total content of the 4 index components per bag across the 19 manufacturers ranged from 41.10 mg to 97.54 mg. Among them， the content of stachydrine hydrochloride（a pharmacopoeial quality control component） was 32.46-72.70 mg per bag， all meeting the requirements of the 2025 edition of the Pharmacopoeia of the People's Republic of China， with RSD of 1.7%-17.1%. The content ranges of the other 3 components were as follows：syringic acid of 1.43-41.92 mg per bag， leonurine hydrochloride of 0.67-11.85 mg per bag， and ferulic acid of 0.11-3.81 mg per bag. Notably， leonurine hydrochloride exhibited the most significant content fluctuation among samples from the same manufacturer（RSD of 4.8%-59.2%）. PCA results showed that the 19 manufacturers could be classified into 3 categories. Samples from 8 manufacturers（M2， M6， M7， M8， M10， M15， M17， M18） demonstrated relatively high consistency， five manufacturers（M3， M9， M12， M13， M14） showed moderate consistency， six manufacturers（M1， M4， M5， M11， M16， M19） exhibited low consistency. The two methods yielded consistent classification results for the 5 representative manufacturers， verifying the reliability of the proposed method. Among these， manufacturer M2 showed the best quality consistency and the highest total content of indicator components among M1-M5. ConclusionThe HPLC-DAD-CAD multi-detector hyphenation technology established in this study enables the accurate detection of 4 components in Leonuri Herba granules. Significant differences in the total content of these four components are observed among products from 19 manufacturers. The application of 2 consistency evaluation methods combined with PCA can effectively classify their consistency into 3 categories， and the classification results of the 2 methods are highly consistent. This study provides scientific basis for the process optimization and quality standard improvement of Leonuri Herba granules.

BACKGROUND:Curcumin is the main active ingredient of turmeric and has significant medicinal value in anti-tumor,anti-inflammatory,antioxidant and other aspects.However,its poor water solubility,unstable chemical properties and easy decomposition lead to difficulty in extracting curcumin and low extraction yield.Therefore,it is particularly important to optimize the curcumin extraction method.OBJECTIVE:To enhance the extraction yield and utilization value of curcumin and optimize the curcumin extraction process and curcumin nanoparticle preparation process.METHODS:Curcumin was extracted from turmeric by ethanol extraction,ultrasonic extraction,ionic liquid extraction,enzyme extraction,and ionic liquid combined with ultrasonic assisted enzyme extraction.The curcumin extraction yield was detected by high performance liquid chromatography;the best extraction method was determined,and subsequent process optimization experiments were carried out.The curcumin extraction yield was the response value with the type of ionic liquid,reaction temperature,ultrasonic time,liquid-to-solid ratio,ionic liquid concentration,and enzyme-drug mass ratio as parameters.The optimal production process of ionic liquid combined with ultrasonic assisted enzyme extraction was determined by single factor combined response surface experiment.The optimal process for preparing curcumin nanoparticles by ionic crosslinking method was determined by single factor combined response surface experiment with acetic acid concentration,chitosan to sodium tripolyphosphate mass ratio,stirring rate,curcumin mass concentration,sodium tripolyphosphate mass concentration,and chitosan mass concentration as parameters,and drug encapsulation efficiency as response value.Curcumin nanoparticles were prepared under the optimal process,and the particle size,polydispersity index,Zata potential value,drug loading,stability,hemolysis rate,and antioxidant capacity in vivo and in vitro of the nanoparticles were detected.RESULTS AND CONCLUSION:(1)Among the five extraction methods,the curcumin yield of ionic liquid combined with ultrasound-assisted enzyme extraction was the highest,and this method was selected as the curcumin extraction method for subsequent experiments.The results of single factor combined response surface experiment showed that the optimal process for curcumin extraction was:ionic liquid selected 1-hexyl-3-methylimidazolium chloride,reaction temperature 55 ℃,liquid-to-solid ratio 40 mL/g,ultrasound time 57 minutes,ionic liquid concentration 57％,enzyme-drug mass ratio 3.5:10,and the obtained turmeric extraction yield was 3.10％.The optimal preparation process of curcumin nanoparticles was:glacial acetic acid concentration 0.5％,chitosan and sodium tripolyphosphate mass ratio 5.0:1,stirring speed 150 r/min,curcumin mass concentration 2.23 mg/mL,sodium tripolyphosphate mass concentration 1.45 mg/mL,chitosan mass concentration 3.63 mg/mL,and the obtained drug encapsulation efficiency was 90.61％.(2)The drug loading of curcumin nanoparticles was(14.49±0.23)％,the average particle size was(76.95±1.65)nm,the polydispersity coefficient was 0.15±0.02,and the Zata potential value was(32.37±1.46)mV.The curcumin nanoparticles had good stability and blood compatibility,did not induce hemolysis,and had stronger antioxidant capacity in vivo and in vitro than free curcumin.(3)The results show that the process optimization not only solves the problems of low extraction yield,poor solubility,and low bioavailability of curcumin,but also enhances its antioxidant activity in vivo and in vitro.

BACKGROUND:Curcumin is the main active ingredient of turmeric and has significant medicinal value in anti-tumor,anti-inflammatory,antioxidant and other aspects.However,its poor water solubility,unstable chemical properties and easy decomposition lead to difficulty in extracting curcumin and low extraction yield.Therefore,it is particularly important to optimize the curcumin extraction method.OBJECTIVE:To enhance the extraction yield and utilization value of curcumin and optimize the curcumin extraction process and curcumin nanoparticle preparation process.METHODS:Curcumin was extracted from turmeric by ethanol extraction,ultrasonic extraction,ionic liquid extraction,enzyme extraction,and ionic liquid combined with ultrasonic assisted enzyme extraction.The curcumin extraction yield was detected by high performance liquid chromatography;the best extraction method was determined,and subsequent process optimization experiments were carried out.The curcumin extraction yield was the response value with the type of ionic liquid,reaction temperature,ultrasonic time,liquid-to-solid ratio,ionic liquid concentration,and enzyme-drug mass ratio as parameters.The optimal production process of ionic liquid combined with ultrasonic assisted enzyme extraction was determined by single factor combined response surface experiment.The optimal process for preparing curcumin nanoparticles by ionic crosslinking method was determined by single factor combined response surface experiment with acetic acid concentration,chitosan to sodium tripolyphosphate mass ratio,stirring rate,curcumin mass concentration,sodium tripolyphosphate mass concentration,and chitosan mass concentration as parameters,and drug encapsulation efficiency as response value.Curcumin nanoparticles were prepared under the optimal process,and the particle size,polydispersity index,Zata potential value,drug loading,stability,hemolysis rate,and antioxidant capacity in vivo and in vitro of the nanoparticles were detected.RESULTS AND CONCLUSION:(1)Among the five extraction methods,the curcumin yield of ionic liquid combined with ultrasound-assisted enzyme extraction was the highest,and this method was selected as the curcumin extraction method for subsequent experiments.The results of single factor combined response surface experiment showed that the optimal process for curcumin extraction was:ionic liquid selected 1-hexyl-3-methylimidazolium chloride,reaction temperature 55 ℃,liquid-to-solid ratio 40 mL/g,ultrasound time 57 minutes,ionic liquid concentration 57％,enzyme-drug mass ratio 3.5:10,and the obtained turmeric extraction yield was 3.10％.The optimal preparation process of curcumin nanoparticles was:glacial acetic acid concentration 0.5％,chitosan and sodium tripolyphosphate mass ratio 5.0:1,stirring speed 150 r/min,curcumin mass concentration 2.23 mg/mL,sodium tripolyphosphate mass concentration 1.45 mg/mL,chitosan mass concentration 3.63 mg/mL,and the obtained drug encapsulation efficiency was 90.61％.(2)The drug loading of curcumin nanoparticles was(14.49±0.23)％,the average particle size was(76.95±1.65)nm,the polydispersity coefficient was 0.15±0.02,and the Zata potential value was(32.37±1.46)mV.The curcumin nanoparticles had good stability and blood compatibility,did not induce hemolysis,and had stronger antioxidant capacity in vivo and in vitro than free curcumin.(3)The results show that the process optimization not only solves the problems of low extraction yield,poor solubility,and low bioavailability of curcumin,but also enhances its antioxidant activity in vivo and in vitro.

OBJECTIVE To study the efficacy and safety of the combination therapy of vericiguat and metoprolol in the treatment of heart failure with reduced ejection fraction （HFrEF）. METHODS Prospective inclusion of 136 HFrEF patients admitted to the Handan First Hospital from January 2022 to January 2025， divided into a control group and an experimental group using a random number table method， 68 cases per group. At the same time as anti heart failure foundation， the control group was treated with metoprolol， while the experimental group was treated with metoprolol and vericiguat for 6 months. Compare the clinical efficacy and cardiac function indicators， serological related indicators， quality of life before and after treatment， and incidence of adverse reactions between the two groups. RESULTS Three cases were lost in the experimental group and four cases were lost in the control group. The total clinical effective rate of the experimental group was 95.38%， significantly higher than the control group’s 75.00% （P＜0.05）. Compared to before treatment， after treatment， the left ventricular end-systolic diameter， left ventricular end-diastolic diameter， homocysteine level， N-terminal pro-B-type natriuretic peptide level， C-reactive protein level， and Minnesota Living with Heart Failure Questionnaire scores of both groups of patients significantly decreased （P＜0.05）， while the left ventricular ejection fraction significantly increased （P＜0.05）， and the improvement effect of the experimental group was more significant than that of the control group （P＜0.05）. There was no statistically significant difference in the incidence of adverse reactions between the two groups of patients （P＞0.05）. CONCLUSIONS Compared to metoprolol alone， the combination of vericiguat and metoprolol can further improve heart function in HFrEF patients， better regulate serological related indicators， enhance quality of life and overall clinical efficacy， and has good safety.

ObjectiveTo establish the fingerprints of 15 batches of Hengzhi Kechuan capsules， to quantitatively analyze 10 index components， and to evaluate the quality uniformity of samples from different batches. MethodsThe fingerprints and quantitative analysis of Hengzhi Kechuan capsules were established by a combination method of high performance liquid chromatography coupled with diode array detector and charged aerosol detector（HPLC-DAD-CAD）， adenosine， guanosine， vanillic acid， safflomin A， agarotetrol， naringin， hesperidin， militarine， ginsenoside Rb₁， and glycyrrhizic acid were selected as quality attribute indexes. A total of 15 batches of Hengzhi Kechuan capsules from 2022 to 2024（3 boxes per batch） were qualitatively and quantitatively analyzed， and the quality uniformity level of the manufacturers was characterized by parameters of intra-batch consistency（P_A） and inter-batch consistency（P_B）. The homogeneity and difference of quality attribute indexes of samples from different years were analyzed by heatmap clustering analysis. ResultsHPLC fingerprints and quantitative method of Hengzhi Kechuan capsules were established， and the methods could be used for qualitative and quantitative analysis of this preparation， which was found to be stable and reliable by method validation. The similarity of fingerprints of 15 batches of samples was 0.887-0.975， a total of 13 common peaks were calibrated， and 10 common peaks were designated， all of which were quality attribute index components. The results of quantitative analysis showed that the contents of the above 10 ingredients in the samples were 0.038-0.078， 0.115-0.251， 0.007-0.018， 0.291-0.673， 0.122-0.257， 0.887-1.905， 1.841-3.364， 1.412-2.450， 2.207-3.112， 0.650-1.161， respectively. And the contents of ginsenoside Rb₁ and glycyrrhizic acid met the limit requirements in the 2020 edition of Chinese Pharmacopoeia. For the samples from 15 batches， the P_A values of the 10 index components were all <10%， indicating good intra-batch homogeneity， and the P_B values ranged from 33.86% to 92.97%， suggesting that the inter-batch homogeneity was poor. Heatmap clustering analysis showed that the samples from different years were clustered into separate categories， and adenosine， guanosine， safflomin A， naringin， hesperidin and agarotetrol were the main differential components. ConclusionThe intra-annual quality uniformity of Hengzhi Kechuan capsules is good and the inter-annual quality uniformity is insufficient， which may be related to the quality difference of Pinellinae Rhizoma Praeparatum， Carthami Flos， Citri Sarcodactylis Fructus， Citri Reticulatae Pericarpium， Aquilariae Lignum Resinatum， Citri Fructus， etc. In this study， the fingerprint and multi-indicator determination method of Hengzhi Kechuan capsules was established， which can be used for more accurate and efficient quality control and standardization enhancement.

ObjectiveTo explore the central neuroregulation mechanism of heat-sensitive moxibustion for knee osteoarthritis on pain relief. MethodsThirty patients who did not have experience of Deqi （得气） during heat-sensitive moxibustion treatment were assigned to the "non-Deqi group"， while another 30 patients who had experience of Deqi were assigned to the "Deqi group". Both groups received moxibustion at the left Heding （EX-LE2） acupoint. In the Deqi group， after the patients experienced sensation of Deqi at the acupoint， moxibustion was applied at approximately 3 cm from the skin for 10 minutes； in the non-Deqi group， moxibustion was also applied at approximately 3 cm from the skin for 10 minutes. Both groups received treatment once daily for 10 consecutive days. Knee joint pain was assessed before and after treatment using the visual analog scale （VAS）. Resting-state functional magnetic resonance imaging （rs-fMRI） scans were performed on all participants before the first treatment session and after the final session on the 10th day. The fractional amplitude of low-frequency fluctuations （fALFF） maps before and after treatment were processed using the SPM12 module by MATLAB. ResultsAfter treatment， VAS scores in both groups were significantly lower than before treatment （P＜0.05 or P＜0.01）， with the Deqi group showing significantly lower VAS scores than the non-Deqi group （P＜0.01）. Compared to before treatment， the Deqi group exhibited significant activation in the prefrontal cortex （t = 6.28）， white matter （t = 6.36）， and left temporal lobe （t = 9.33）， while significant inhibition was observed in the occipital lobe （t = -9.86） and right cerebrum （t = -4.54， P＜0.01）； in the non-Deqi group， significant changes after treatment were observed in the left occipital lobe （t = -6.42）， left medial frontal gyrus （t = -4.35）， left middle frontal gyrus （t = -4.74）， right superior frontal gyrus （t = -4.82）， right superior temporal gyrus （t = -6.61）， and right cerebellar posterior lobe （t = -8.64）， all of which were in inhibited states （P＜0.01）. Compared to the non-Deqi group， the Deqi group exhibited significant activation after treatment in the external nucleus （t = 5.77）， white matter （t = 3.58）， right cerebrum （t = 5.84）， left cerebellum （t = 5.35）， and left cerebrum （t = 4.32）， while significant inhibition was observed in the prefrontal cortex （t = -4.16）， occipital lobe （t = -4.87）， and precentral gyrus （t = -4.46， P＜0.01）. ConclusionsHeat-sensitive moxibustion provides better analgesic effects for knee osteoarthritis under state of Deqi. Its central neuroregulation mechanism may be related to the involvement of the frontal lobe， temporal lobe， occipital lobe， external nucleus， white matter， right cerebrum， left cerebellum， left cerebrum， and precentral gyrus in modulating pain signals.

Objective:To investigate the anti-fatigue effect of Dendrobium and Panax Quinquefolius Granules(DPQG)on the overtrained mice,and to clarify its possible mechanism.Methods:A total of 48 mice were randomly divided into control group(equal volume of distilled water),low dose of DPQG group(400 mg·kg-1 DPQG),medium dose of DPQG group(800 mg·kg-1 DPQG),and high dose of DPQG group(1 600 mg·kg-1 DPQG).The DPQG were administered by gavage for 35 d,and the rotarod test and swimming endurance test were performed 30 min after last administration.Serum,liver tissue,and muscle tissue were collected from the mice in various groups.ELISA method was used to detect the serum lacticacid(LAC)levels and lactate dehydrogenase(LDH)activities,and the malondialdehyde(MDA)levels,superoxide dismutase(SOD)and glutathione peroxidase(GSH-Px)activities,and the liver glycogen and muscle glycogen levels in muscle tissue of the mice in various groups;HE staining was used to observe the pathomorphology of muscle tissue of the mice.Transcriptomics and metabolomics technologies were used to identify the key genes and metabolites in muscle tissue of the mice in control group and high dose of DPQG group and to analyze the correlations between differentially expressed genes(DEGs)and differentially expressed metabolites.Results:Compared with control group,the rod turning exhaustion time of the mice in different doses of DPQG groups were significantly increased(P＜0.05),and the swimming exhaution time of the mice in high dose of DPQG group was increased(P＜0.05).Compared with control group,the LDH,SOD,and GSH-Px activities of the mice in medium and high doses of DPQG groups were increased(P＜0.01).Compared with control group,the levels of MDA and liver glycogen of the mice in medium and high doses of DPQG groups were decreased(P＜0.05 or P＜0.01).The transcriptomics sequencing results showed that DPQG mainly acted on DEGs such as Trib3 and Olfr495;the Gene Ontology(GO)functional enrichment analysis and Kyoto Encyclopedia of Genes and Genomes(KEGG)signaling pathway enrichment analysis results showed that the DEGs were mainly enriched in olfactory-related processes and signaling pathways;the metabolomics KEGG analysis results showed that the differential metabolites were mainly enriched in the regulation pathway of inflammatory mediators on tryptophan(TRP);the combined analysis of transcriptomics and metabolomics results showed that the piezo1 gene had high correlations with the differential metabolites β1-solamarine(r=-1,P＜0.05)and tilidine(r=1,P＜0.05).Conclusion:DPQG can exert an anti-fatigue effect on the overtrained mice by modulating LAC metabolism and glycogen homeostasis,as well as maintaining the oxidative/antioxidant balance in the body;its anti-fatigue mechanism is related to the Olfr495 and piezo1 genes and the regulation pathway of inflammatory mediators on TRP channels.

Objective To investigate the potential mechanism by which dihydromyricetin(DHM)ameliorates diabetic nephropathy(DN),and to screen and validate its possible key molecular targets.Methods A DN model was established using db/db mice,and 100 mg/(kg·d)DHM was administered via gavage 5 d per week for totally 10 weeks.Renal morphological changes were observed after staining to evaluate the effects of DHM.GSE161885 and GSE270526 datasets were obtained from the Gene Expression Omnibus(GEO)database and analyzed in combination with the GeneCards database to screen for DN-related differentially expressed genes(DEGs).Protein-protein interaction(PPI)network and molecular docking were employed to predict potential DHM targets.Western blotting and immunofluorescence staining were performed to detect the effects of DHM on pyroptosis-related pathways in the renal tissues of db/db mice and in high glucose(HG)-induced human renal tubular epithelial cells(HK-2).The specific NLR family pyrin domain containing protein 3(NLRP3)inhibitor MCC950 was also used to validate the predicted mechanism.Results In vivo experiments showed that DHM significantly ameliorated renal pathological damage in db/db mice,alleviated glomerular hypertrophy and mesangial expansion,and markedly reduced Paller scores(P<0.001).Immunofluorescence staining revealed significantly weakened fluorescence signals for α-smooth muscle actin(α-SMA),fibronectin,and collagen Ⅰ in renal tissues.Western blot results showed that the expression levels of collagen Ⅰ,collagen Ⅲ,α-SMA,and transforming growth factor beta 1(TGF-β1)were significantly decreased(P<0.05).A total of 16 DN-related DEGs were identified.Enrichment analysis revealed that these genes were primarily enriched in pathways such as viral protein interactions,cytokine-cytokine receptor interaction,and the AGE-RAGE signaling pathway in diabetic complications,and were primarily involved in gene functions such as the positive regulation of lymphocyte-mediated immunity,positive regulation of adaptive immune response,and chemokine activity.Molecular docking confirmed NLRP3 as a potential target of DHM.In vivo validation showed that DHM significantly down-regulated gasdermin-D(GSDMD)fluorescence signals and inhibited the expression of pyroptosis-related proteins including NLRP3,Caspase 1,Cleaved-Caspase 1,interleukin 18(IL-18),and GSDMD(P<0.05).In vitro studies further confirmed that both DHM and the specific NLRP3 inhibitor MCC950 alleviate high glucose-induced fibrosis and pyroptosis in HIC-2 cells.Conclusion DHM can ameliorate the progression of DN,and its mechanism is related to inhibiting NLRP3 inflammasome-mediated pyroptosis,thereby alleviating renal inflammation and fibrosis.

OBJECTIVE Exploring the specific changes in brain signal variability during healthy aging using functional near-infrared spectroscopy technology.METHODS Twenty-eight young adults and 30 elderly adults were included,and functional near-infrared spectroscopy was used to record the changes in brain blood oxygen and calculate the brain signal variability during the execution of visual-audio dual tasks.RESULTS The brain signal variability of the elderly group was significantly reduced when performing visual-audio dual tasks,especially in the bilateral dorsolateral prefrontal cortex,right Broca,bilateral primary somatosensory cortex,bilateral Wernicke area,bilateral frontopolar area,bilateral primary motor cortex,bilateral somatosensory association cortex,bilateral orbitofrontal area,bilateral pre-motor and supplementary motor cortex.The brain signal variability in the left primary somatosensory cortex(r=-0.385,P=0.043)and right primary somatosensory cortex(r=-0.386,P=0.042)of young adults was negatively correlated with visual reaction time;The brain signal variability in the right somatosensory association cortex(r=-0.371,P=0.044),left pre-motor and supplementary motor cortex(r=-0.393,P=0.032)of elderly adults was negatively correlated with visual reaction time.CONCLUSION Elderly individuals exhibit a significant reduction in neural signal variability within the prefrontal cortex and sensory related cortex,resulting in diminished neural dynamic adaptability that compromises behavioral performance during visual-audio dual tasks.