OBJECTIVE:Repetitive transcranial magnetic stimulation and transcranial direct current stimulation have shown positive effects in improving gross motor function in children with cerebral palsy.A network meta-analysis was performed to analyze the clinical efficacy of repetitive transcranial magnetic stimulation and transcranial direct current stimulation on the improvement of lower limb motor function and gait in children with cerebral palsy.METHODS:Randomized controlled trials(RCT)about repetitive transcranial magnetic stimulation and transcranial direct current stimulation on lower limb motor function and gait in children with cerebral palsy were collected from CNKI,WanFang,VIP,SinoMed,PubMed,Web of Science,Medline.The search time limit was from the inception to October 5,2024.After screening literature,extracting data and evaluating the risk of bias of included studies,Stata 15.0 software was used for network meta-analysis,AND GRADE profiler was used for quality evaluation.RESULTS:A total of 19 studies were included,involving 4 treatment measures:conventional therapy,high-frequency repetitive transcranial magnetic stimulation,low-frequency repetitive transcranial magnetic stimulation and anodic transcranial direct current stimulation.The results of network meta-analysis showed that in terms of improving gross motor function,low-frequency repetitive transcranial magnetic stimulation[mean difference(MD)=9.48,95％confidence interval(CI)(6.61,12.34),P＜0.05]was the most effective.In terms of alleviating spasticity,high-frequency repetitive transcranial magnetic stimulation[MD=-0.63,95％CI(-1.72,0.45),P＜0.05]had the best efficacy.In terms of improving ankle joint range of motion and step speed,transcranial direct current stimulation[MD=2.27,95％CI(1.37,3.17),P＜0.05;MD=0.11,95％CI(0.05,0.17),P＜0.05]was the most effective.CONCLUSION:Existing clinical evidence suggests that low-frequency repetitive transcranial magnetic stimulation has the best therapeutic effect compared with other intervention measures in terms of improving lower limb gross motor function.In terms of reducing spasticity,high-frequency repetitive transcranial magnetic stimulation has a more significant effect.In terms of improving gait,transcranial direct current stimulation has more advantages.

OBJECTIVE:It has been confirmed that neuromodulation technology can improve the clinical symptoms of patients with Parkinson's disease,and there are differences in the efficacy of different neuromodulation stimulation methods.Herein,a network meta-analysis was used to evaluate the efficacy of different neuromodulation stimulation modalities in improving non-motor symptoms such as sleep disorders and depression and anxiety in patients with Parkinson's disease,thereby exploring the optimal neuromodulation stimulation regimen.METHODS:The Chinese Biomedical Literature Database,WanFang Database,VIP Database,CNKI Database,Web of Science,PubMed,The Cochrane Library,and EMbase databases were searched for randomized controlled trials on neuromodulation techniques to improve sleep disorders,depression and anxiety in patients with Parkinson's disease.The control group was treated with conventional treatments(drugs,conventional rehabilitation therapy,etc.)or sham stimulation,and the experimental group was supplemented with neuromodulation technology on the basis of the control group.The quality of the included studies was evaluated using the PEDro scale and the deviation risk assessment tool recommended by the Cochrane Collaboration.RevMan 5.4 and Stata 17.0 were used for network meta-analysis of the four outcomes(sleep disorders,anxiety symptoms,depressive symptoms,and quality of life).RESULTS:(1)Twenty-nine randomized controlled trials involving six neuromodulation stimulation modalities were included.These modalities were transcranial direct current stimulation,high-frequency repetitive transcranial magnetic stimulation,low-frequency repetitive transcranial magnetic stimulation,deep brain stimulation of the subthalamic nucleus,deep brain stimulation of the globus pallidus,multi-target deep brain stimulation.(2)The results of network meta-analysis showed that compared with conventional treatment,transcranial direct current stimulation[standardized mean difference(SMD)=-2.57,95％confidence interval(CI)=-4.52 to-0.63,P＜0.05)had the best effect in improving sleep disorders in patients with Parkinson's disease.In terms of improving depressive symptoms,deep brain stimulation of the globus pallidus(SMD=-1.00,95％CI=-1.87 to-0.14,P＜0.05)had the best effect,followed by low-frequency repetitive transcranial magnetic stimulation(SMD=-0.91,95％CI=-1.60 to-0.23,P＜0.05),deep brain stimulation of the subthalamic nucleus(SMD=-0.82,95％CI=-1.56 to-0.08,P＜0.05),and high-frequency repetitive transcranial magnetic stimulation(SMD=-0.75,95％CI=-0.97 to-0.53,P＜0.05).In terms of improving anxiety symptoms,high-frequency repetitive transcranial magnetic stimulation(SMD=-0.86,95％CI=-1.54 to-0.18,P＜0.05)had the best effect.In terms of improving the quality of life,deep brain stimulation of the globus pallidus(SMD=-0.79,95％CI=-1.55 to-0.04,P＜0.05)had the best efficacy,followed by high-frequency repetitive transcranial magnetic stimulation(SMD=-0.63,95％CI=-0.90 to-0.36,P＜0.05)and transcranial direct current stimulation(SMD=-0.50,95％CI=-0.80 to-0.19,P＜0.05).CONCLUSION:Neuromodulation technology has significant efficacy in improving non-motor symptoms in patients with Parkinson's disease.Transcranial direct current stimulation has the best efficacy in improving sleep disorders,deep electrical stimulation of the medial cerebral part of the globus pallidus has the best efficacy in improving depressive symptoms,high-frequency repetitive transcranial magnetic stimulation has the best efficacy in improving anxiety symptoms,and deep electrical stimulation of the globus pallidus has the best efficacy in improving quality of life.

OBJECTIVE:Repetitive transcranial magnetic stimulation and transcranial direct current stimulation have shown positive effects in improving gross motor function in children with cerebral palsy.A network meta-analysis was performed to analyze the clinical efficacy of repetitive transcranial magnetic stimulation and transcranial direct current stimulation on the improvement of lower limb motor function and gait in children with cerebral palsy.METHODS:Randomized controlled trials(RCT)about repetitive transcranial magnetic stimulation and transcranial direct current stimulation on lower limb motor function and gait in children with cerebral palsy were collected from CNKI,WanFang,VIP,SinoMed,PubMed,Web of Science,Medline.The search time limit was from the inception to October 5,2024.After screening literature,extracting data and evaluating the risk of bias of included studies,Stata 15.0 software was used for network meta-analysis,AND GRADE profiler was used for quality evaluation.RESULTS:A total of 19 studies were included,involving 4 treatment measures:conventional therapy,high-frequency repetitive transcranial magnetic stimulation,low-frequency repetitive transcranial magnetic stimulation and anodic transcranial direct current stimulation.The results of network meta-analysis showed that in terms of improving gross motor function,low-frequency repetitive transcranial magnetic stimulation[mean difference(MD)=9.48,95％confidence interval(CI)(6.61,12.34),P＜0.05]was the most effective.In terms of alleviating spasticity,high-frequency repetitive transcranial magnetic stimulation[MD=-0.63,95％CI(-1.72,0.45),P＜0.05]had the best efficacy.In terms of improving ankle joint range of motion and step speed,transcranial direct current stimulation[MD=2.27,95％CI(1.37,3.17),P＜0.05;MD=0.11,95％CI(0.05,0.17),P＜0.05]was the most effective.CONCLUSION:Existing clinical evidence suggests that low-frequency repetitive transcranial magnetic stimulation has the best therapeutic effect compared with other intervention measures in terms of improving lower limb gross motor function.In terms of reducing spasticity,high-frequency repetitive transcranial magnetic stimulation has a more significant effect.In terms of improving gait,transcranial direct current stimulation has more advantages.

OBJECTIVE:It has been confirmed that neuromodulation technology can improve the clinical symptoms of patients with Parkinson's disease,and there are differences in the efficacy of different neuromodulation stimulation methods.Herein,a network meta-analysis was used to evaluate the efficacy of different neuromodulation stimulation modalities in improving non-motor symptoms such as sleep disorders and depression and anxiety in patients with Parkinson's disease,thereby exploring the optimal neuromodulation stimulation regimen.METHODS:The Chinese Biomedical Literature Database,WanFang Database,VIP Database,CNKI Database,Web of Science,PubMed,The Cochrane Library,and EMbase databases were searched for randomized controlled trials on neuromodulation techniques to improve sleep disorders,depression and anxiety in patients with Parkinson's disease.The control group was treated with conventional treatments(drugs,conventional rehabilitation therapy,etc.)or sham stimulation,and the experimental group was supplemented with neuromodulation technology on the basis of the control group.The quality of the included studies was evaluated using the PEDro scale and the deviation risk assessment tool recommended by the Cochrane Collaboration.RevMan 5.4 and Stata 17.0 were used for network meta-analysis of the four outcomes(sleep disorders,anxiety symptoms,depressive symptoms,and quality of life).RESULTS:(1)Twenty-nine randomized controlled trials involving six neuromodulation stimulation modalities were included.These modalities were transcranial direct current stimulation,high-frequency repetitive transcranial magnetic stimulation,low-frequency repetitive transcranial magnetic stimulation,deep brain stimulation of the subthalamic nucleus,deep brain stimulation of the globus pallidus,multi-target deep brain stimulation.(2)The results of network meta-analysis showed that compared with conventional treatment,transcranial direct current stimulation[standardized mean difference(SMD)=-2.57,95％confidence interval(CI)=-4.52 to-0.63,P＜0.05)had the best effect in improving sleep disorders in patients with Parkinson's disease.In terms of improving depressive symptoms,deep brain stimulation of the globus pallidus(SMD=-1.00,95％CI=-1.87 to-0.14,P＜0.05)had the best effect,followed by low-frequency repetitive transcranial magnetic stimulation(SMD=-0.91,95％CI=-1.60 to-0.23,P＜0.05),deep brain stimulation of the subthalamic nucleus(SMD=-0.82,95％CI=-1.56 to-0.08,P＜0.05),and high-frequency repetitive transcranial magnetic stimulation(SMD=-0.75,95％CI=-0.97 to-0.53,P＜0.05).In terms of improving anxiety symptoms,high-frequency repetitive transcranial magnetic stimulation(SMD=-0.86,95％CI=-1.54 to-0.18,P＜0.05)had the best effect.In terms of improving the quality of life,deep brain stimulation of the globus pallidus(SMD=-0.79,95％CI=-1.55 to-0.04,P＜0.05)had the best efficacy,followed by high-frequency repetitive transcranial magnetic stimulation(SMD=-0.63,95％CI=-0.90 to-0.36,P＜0.05)and transcranial direct current stimulation(SMD=-0.50,95％CI=-0.80 to-0.19,P＜0.05).CONCLUSION:Neuromodulation technology has significant efficacy in improving non-motor symptoms in patients with Parkinson's disease.Transcranial direct current stimulation has the best efficacy in improving sleep disorders,deep electrical stimulation of the medial cerebral part of the globus pallidus has the best efficacy in improving depressive symptoms,high-frequency repetitive transcranial magnetic stimulation has the best efficacy in improving anxiety symptoms,and deep electrical stimulation of the globus pallidus has the best efficacy in improving quality of life.

Schizophrenia (SZ) stands as a severe psychiatric disorder. This study applied diffusion tensor imaging (DTI) data in conjunction with graph neural networks to distinguish SZ patients from normal controls (NCs) and showcases the superior performance of a graph neural network integrating combined fractional anisotropy and fiber number brain network features, achieving an accuracy of 73.79% in distinguishing SZ patients from NCs. Beyond mere discrimination, our study delved deeper into the advantages of utilizing white matter brain network features for identifying SZ patients through interpretable model analysis and gene expression analysis. These analyses uncovered intricate interrelationships between brain imaging markers and genetic biomarkers, providing novel insights into the neuropathological basis of SZ. In summary, our findings underscore the potential of graph neural networks applied to multimodal DTI data for enhancing SZ detection through an integrated analysis of neuroimaging and genetic features.
Humans ; Schizophrenia/pathology* ; Diffusion Tensor Imaging/methods* ; Male ; Female ; Adult ; Brain/metabolism* ; Young Adult ; Middle Aged ; White Matter/pathology* ; Gene Expression ; Nerve Net/diagnostic imaging* ; Graph Neural Networks

ObjectiveThrough qualitatively and quantitatively analysis of the differences in chemical composition between the combined decoction and single decoction of Huaganjian and comparison of their core efficacy， to explore the rationality of the flexible clinical application of Huaganjian compound preparations and single-flavored dispensing granules. MethodsUltra performance liquid chromatography-quadrupole-electrostatic field orbitrap high resolution mass spectrometry（UPLC-Q-Exactive Orbitrap MS） was used to qualitatively analyze the combined decoction and single decoction samples of Huaganjian， and meanwhile， the contents of four index components（geniposide， paeoniflorin， hesperidin and paeonol） were quantitatively analyzed by high performance liquid chromatography（HPLC）. Nonalcoholic fatty liver disease（NAFLD） rat model induced by high-fat diet was applied to compare the efficacy of combined decoction and single decoction of Huaganjian. A total of 30 male SD rats were randomly divided into the control group， model group， lovastatin group（1.8 mg·kg^-1）， combined decoction group（1.26 g·kg^-1） and single decoction group（1.18 g·kg^-1）. After successful modeling， lovastatin group， combined decoction group and single decoction group were given corresponding doses of drugs by intragastric administration every day， and the control group and model group were given equal amounts of normal saline by intragastric administration， after 4 weeks of administration， the serum and liver tissues were collected， and the contents of alanine aminotransferase（ALT）， aspartate aminotransferase（AST）， total cholesterol（TC）， triglyceride（TG）， low-density lipoprotein cholesterol（LDL-C） and high-density lipoprotein cholesterol（HDL-C） in serum of rats were detected， and the liver pathological examination was carried out by hematoxylin-eosin（HE） staining and oil red O staining， so as to compare differences of their efficacy. ResultsSeventy chemical components were initially identified and attributed from the lyophilized powder of the combined decoction and single decoction samples of Huaganjian， and there was no obvious difference in composition between the two. Further quantitative analysis showed that the contents of geniposide， paeoniflorin， hesperidin and paeonol in the combined decoction samples were significantly increased when compared with those of the single decoction samples（P<0.01）. The pharmacodynamic results showed that compared with the model group， both the combined and single decoction groups of Huaganjian could improve the liver index of NAFLD rats， reduce the serum levels of AST， ALT， TC， TG and LDL-C， increase the serum level of HDL-C， and ameliorate the pathological changes of liver cell steatosis and fat accumulation. However， there was no significant difference in pharmacodynamic effects between the combined decoction group and the single decoction group. ConclusionThere is no significant difference between the combined decoction and single decoction of Huaganjian in terms of chemical composition， but the contents of the four index components show significantly difference. Both of them can significantly improve the fat accumulation and liver function in NAFLD rats. This study provides a reference basis for the rational clinical application and evaluation of famous classical formula compound preparations and single-flavored dispensing granules.

ObjectiveTo establish a geographical origin identification model for Foeniculi Fructus from Haiyuan， providing a new technical reference for the protection of Haiyuan's geo-authentic medicinal materials and its designation as a national geographical indication agricultural product. MethodsSamples of Foeniculi Fructus were collected from eight producing areas， including Minqin （Gansu）， Bozhou （Anhui）， Qingdao （Shandong）， Dezhou （Shandong）， Urumqi （Xinjiang）， Nujiang （Yunnan）， Gutuo （Inner Mongolia）， and Haiyuan （Ningxia）. Gas chromatography-ion mobility spectrometry （GC-IMS） was used to detect the volatile organic compounds （VOCs） in samples from these geographic origins. VOCs were qualitatively analyzed through dual matching with the National Institute of Standards and Technology （NIST） mass spectral database and the IMS drift time database. Using the Reporter module and Gallery Plot visualization tools within the LAV analytical platform， VOC fingerprint profiles characterizing geographic origins were constructed. A non-targeted analytical strategy was adopted， and 97 VOCs detected via GC-IMS were subjected to principal component analysis （PCA） and partial least squares discriminant analysis （PLS-DA） based on their differential distribution patterns to construct an origin identification model for Foeniculi Fructus from Haiyuan region. Key discriminative markers were screened using variable importance in projection （VIP） values greater than 1. ResultsA total of 97 VOCs were identified， including alcohols， aldehydes， ketones， esters， organic acids， terpenoids， ethers， alkenes， and benzenes. The PLS-DA model， based on VOCs data obtained by GC-IMS， effectively distinguished Foeniculi Fructus in Haiyuan region from those of other origins. During cross-validation， the model achieved a prediction parameter （Q²） of 0.976 and a goodness-of-fit parameter （R²） of 0.936， with no overfitting observed in permutation testing. Twelve key flavor markers with VIP > 1 were identified as characteristic indicators of Haiyuan origin. ConclusionA stable and highly predictive origin identification model for Foeniculi Fructus from Haiyuan was successfully established using GC-IMS technology， PLS-DA， and VIP-based marker screening. This model provides a novel technical strategy for accurately distinguishing Foeniculi Fructus in Haiyuan region from other regional varieties and offers new technical support for its protection as a geo-authentic medicinal material and a nationally designated geographical indication agricultural product in China.

Objective:To observe the effect of acupuncture-synchronized exercise training on the learning and memory of rats after middle cerebral artery occlusion (MCAO), and to explore its mechanism.Methods:Among sixty 8-week-old SPF-grade Sprague-Dawley male rats, 6 were randomly chosen to form a sham group, and the rest received MCAO. After successful modeling, 18 rats were assigned at random to either the model, asynchronous or synchronous group, each of 6. The asynchronous group received 20 minutes of acupuncture followed by 20 minutes of treadmill training, while the synchronous group received the acupuncture during their treadmill training. There was no special intervention for the sham and model groups. There were 5 sessions/week for 21 days. Neurological deficit in the rats was assessed using Longa scoring 24h after the modeling and after the 21 days. The localization navigation test was performed on days 17-20 of the experiment, and the latency to escape was recorded. A space exploration experiment was performed the next day, and rats were tested for dwell time and the number of transits of the original platform quadrant. After the intervention, the morphology of hippocampal tissue was observed using HE staining. The mitochondria of the rats′ hippocampal neurons were observed using transmission electron microscopy. MDA and SOD levels were recorded. And the protein expression levels of the Parkin, PINK1, LC3-II/ LC3-Ⅰ, P62 and Beclin-1 genes were detected using western blotting.Results:The model group showed significantly higher average Longa scores than the sham group, with less time spent in the target quadrant and fewer crossings of the platform quadrant. The HE staining revealed numerous degenerating neurons, and swollen mitochondria with vacuolization and sparse cristae. There was also a significant decrease in Parkin, PINK1, LC3-II/LC3-I and Beclin-1 expression and in SOD. But there was a significant increase in P62 expression and MDA, on average. Compared with the model group, both the non-synchronous and synchronous groups showed significantly lower average Longa scores, with more time spent in the target quadrant and more platform crossings. Their neuron morphology was close to normal, with more intact cristae and autophagic bodies in the mitochondria. Those groups showed greater Parkin, PINK1, LC3-II/LC3-I and Beclin-1 expression and had higher SOD levels, on average, with significantly lower P62 expression and less MDA. But compared with the non-synchronous group, the synchronous group spent more time in the target quadrant and had significantly more platform crossings. LC3-II/LC3-I and Beclin-1 expression were higher, on average, as were SOD levels. P62 expression and MDA levels were significantly lower.Conclusions:Acupuncture synchronized with exercise improves the learning and memory of rates after MCAO. The mechanism may be related to reducing oxidative stress levels and activating mitochondrial autophagy.

ObjectiveTo establish a geographical origin identification model for Foeniculi Fructus from Haiyuan， providing a new technical reference for the protection of Haiyuan's geo-authentic medicinal materials and its designation as a national geographical indication agricultural product. MethodsSamples of Foeniculi Fructus were collected from eight producing areas， including Minqin （Gansu）， Bozhou （Anhui）， Qingdao （Shandong）， Dezhou （Shandong）， Urumqi （Xinjiang）， Nujiang （Yunnan）， Gutuo （Inner Mongolia）， and Haiyuan （Ningxia）. Gas chromatography-ion mobility spectrometry （GC-IMS） was used to detect the volatile organic compounds （VOCs） in samples from these geographic origins. VOCs were qualitatively analyzed through dual matching with the National Institute of Standards and Technology （NIST） mass spectral database and the IMS drift time database. Using the Reporter module and Gallery Plot visualization tools within the LAV analytical platform， VOC fingerprint profiles characterizing geographic origins were constructed. A non-targeted analytical strategy was adopted， and 97 VOCs detected via GC-IMS were subjected to principal component analysis （PCA） and partial least squares discriminant analysis （PLS-DA） based on their differential distribution patterns to construct an origin identification model for Foeniculi Fructus from Haiyuan region. Key discriminative markers were screened using variable importance in projection （VIP） values greater than 1. ResultsA total of 97 VOCs were identified， including alcohols， aldehydes， ketones， esters， organic acids， terpenoids， ethers， alkenes， and benzenes. The PLS-DA model， based on VOCs data obtained by GC-IMS， effectively distinguished Foeniculi Fructus in Haiyuan region from those of other origins. During cross-validation， the model achieved a prediction parameter （Q²） of 0.976 and a goodness-of-fit parameter （R²） of 0.936， with no overfitting observed in permutation testing. Twelve key flavor markers with VIP > 1 were identified as characteristic indicators of Haiyuan origin. ConclusionA stable and highly predictive origin identification model for Foeniculi Fructus from Haiyuan was successfully established using GC-IMS technology， PLS-DA， and VIP-based marker screening. This model provides a novel technical strategy for accurately distinguishing Foeniculi Fructus in Haiyuan region from other regional varieties and offers new technical support for its protection as a geo-authentic medicinal material and a nationally designated geographical indication agricultural product in China.

Objective:To explore the correlation between abdominal muscle morphological parameters and balance func-tion indexes in stroke patients,and to elucidate the mechanism of core muscle groups in postural control,so as to provide evidence-based basis for optimizing the rehabilitation assessment system and intervention strate-gies for balance disorders after stroke.Method:A total of 60 stroke patients admitted to the Rehabilitation Center of the Affiliated Hospital of Shan-dong University of Traditional Chinese Medicine from March to December 2024 were selected.The musculosk-eletal ultrasound diagnostic system was used to quantitatively measure the muscle fiber thickness of the exter-nal abdominal oblique muscle(EO),internal oblique muscle(IO)and transverse abdominis muscle(TrA),and the balance test system was used to collect the center of gravity swing parameters of the patient's stand-ing on both feet with eyes open and closed,including the area of the motion ellipse and the length of the tra-jectory.Correlation analysis was used to evaluate the correlation between abdominal muscle thickness ratio(af-fected side/unaffected side)and thickening rate(contraction/relaxation)and balance parameters,and the predic-tive performance of each abdominal muscle parameter was analyzed by receiver operating characteristic curve(ROC).Result:Bilateral abdominal muscle thickness asymmetry was observed in stroke patients,and the abdominal muscle thickness ratio in patients in the subacute stage was significantly lower than that in the chronic phase(P＜0.05),but the thickening rate was higher(P＜0.05).The abdominal muscle thickness ratio and thickening rate were significantly negatively correlated with the motion elliptical area and exercise length in the open and closed states(r=-0.273—-0.807,P＜0.05).The prediction model analysis showed that the prediction efficien-cy of transverse abdominis(TrA)muscle thickening rate was the best(AUC=0.797),while the combined pre-diction efficiency of internal oblique(IO)muscle and TrA thickening rate was the highest(AUC=0.835).Conclusion:Bilateral abdominal muscle thickness asymmetry occurs in stroke patients and is related to the course of the disease.Abdominal muscle thickness parameters were negatively correlated with balance function,and the thickening rate of TrA and IO could be used as effective predictors to evaluate the balance function of stroke patients,and musculoskeletal ultrasound could be used as a quantitative evaluation tool for abdomi-nal muscle thickness in stroke patients.