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A radiomics approach for predicting gait freezing in Parkinson's disease based on resting-state functional magnetic resonance imaging indices:A cross-sectional study 认领 引用 被引量：3
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作者 Miaoran Guo Hu Liu +6 位作者 Long Gao Hongmei Yu Yan Ren Yingmei Li Huaguang Yang Chenghao Cao Guoguang Fan 《Neural Regeneration Research》 SCIE CAS CSCD 2026年第4期1621-1627,共7页
Freezing of gait is a significant and debilitating motor symptom often observed in individuals with Parkinson's disease.Resting-state functional magnetic resonance imaging,along with its multi-level feature indice... Freezing of gait is a significant and debilitating motor symptom often observed in individuals with Parkinson's disease.Resting-state functional magnetic resonance imaging,along with its multi-level feature indices,has provided a fresh perspective and valuable insight into the study of freezing of gait in Parkinson's disease.It has been revealed that Parkinson's disease is accompanied by widespread irregularities in inherent brain network activity.However,the effective integration of the multi-level indices of resting-state functional magnetic resonance imaging into clinical settings for the diagnosis of freezing of gait in Parkinson's disease remains a challenge.Although previous studies have demonstrated that radiomics can extract optimal features as biomarkers to identify or predict diseases,a knowledge gap still exists in the field of freezing of gait in Parkinson's disease.This cross-sectional study aimed to evaluate the ability of radiomics features based on multi-level indices of resting-state functional magnetic resonance imaging,along with clinical features,to distinguish between Parkinson's disease patients with and without freezing of gait.We recruited 28 patients with Parkinson's disease who had freezing of gait(15 men and 13 women,average age 63 years)and 30 patients with Parkinson's disease who had no freezing of gait(16 men and 14 women,average age 64 years).Magnetic resonance imaging scans were obtained using a 3.0T scanner to extract the mean amplitude of low-frequency fluctuations,mean regional homogeneity,and degree centrality.Neurological and clinical characteristics were also evaluated.We used the least absolute shrinkage and selection operator algorithm to extract features and established feedforward neural network models based solely on resting-state functional magnetic resonance imaging indicators.We then performed predictive analysis of three distinct groups based on resting-state functional magnetic resonance imaging indicators indicators combined with clinical features.Subsequently,we conducted 100 additional five-fold cross-validations to determine the most effective model for each classification task and evaluated the performance of the model using the area under the receiver operating characteristic curve.The results showed that when differentiating patients with Parkinson's disease who had freezing of gait from those who did not have freezing of gait,or from healthy controls,the models using only the mean regional homogeneity values achieved the highest area under the receiver operating characteristic curve values of 0.750(with an accuracy of 70.9%)and 0.759(with an accuracy of 65.3%),respectively.When classifying patients with Parkinson's disease who had freezing of gait from those who had no freezing of gait,the model using the mean amplitude of low-frequency fluctuation values combined with two clinical features achieved the highest area under the receiver operating characteristic curve of 0.847(with an accuracy of 74.3%).The most significant features for patients with Parkinson's disease who had freezing of gait were amplitude of low-frequency fluctuation alterations in the left parahippocampal gyrus and two clinical characteristics:Montreal Cognitive Assessment and Hamilton Depression Scale scores.Our findings suggest that radiomics features derived from resting-state functional magnetic resonance imaging indices and clinical information can serve as valuable indices for the identification of freezing of gait in Parkinson's disease. 展开更多
关键词 amplitude of low-frequency fluctuation degree centrality feedforward neural network freezing of gait machine learning parahippocampal gyrus Parkinson's disease receiver operating characteristic regional homogeneity resting-state functional magnetic resonance imaging
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Brain resting state functional connectivity changes with aerobic exercise,and mindfulness:A narrative review 认领 引用
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作者 David Wing Bart Roelands +10 位作者 Abraham Z.Snyder Michael Yingling Manuela Araque Joshua S.Shimony Federica Klaus Gwen Orav Job G.Godino Romain Meeusen Eric J.Lenze Julie Wetherell Lisa T.Eyler 《Sports Medicine and Health Science》 CAS CSCD 2026年第4期407-425,共19页
Purpose:Neuroimaging studies show that the functional connectivity of the brain changes with age.Resting state functional connectivity(rsFC)in the brain appears to decrease with aging in key networks associated with h... Purpose:Neuroimaging studies show that the functional connectivity of the brain changes with age.Resting state functional connectivity(rsFC)in the brain appears to decrease with aging in key networks associated with higher order thinking and effective emotional regulation.Interventions that potentially preserversFC in the brain include 1)physical activity and 2)contemplative practice commonly referred to as mindfulness.The present narrative review aims to summarize the literature concerning the effect of interventions involving exercise,mindful movement,and purely mindfulness-based training on rsFC.Methods:Search terms focused on identifying multi-day exercise,mindfulness,or mindful-movement interventions in non-clinical adult populations that included a control group and both pre-and post-assessment of brain rsFC.Results:Thirty studies were reviewed.Assessed methodological factors that potentially impact findings included subject sample size,scan time length,brain regions targeted for analyses,intervention length and intensity,population characteristics,and differences in sleep quantity/quality.Most studies reported changes in rsFC related to interventions with most observed changes found within the default mode,executive control and salience networks of the brain.However,the largest and most methodologically rigorous study found minimal associations between rsFC and either exercise or mindfulness.Conclusion:Given the inconsistent results found in this review,caution is warranted in the interpretation of changes in rsFC attributable to exercise and mindfulness.This review highlights key factors likely to contribute to differences in reported outcomes.Methodological consistency in fMRI acquisition,data preparation,and analytical approaches are crucial to improve reproducibility and allow for comparison and aggregation. 展开更多
关键词 Functional connectivity Exercise intervention Mindfulness intervention Mindful movement
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Functional connectivity alterations in patients with poststroke cognitive impairment:A resting-state functional magnetic resonance imaging study 认领 引用 被引量：1
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作者 Yun-Yun Tao Ran Wang +2 位作者 Peng Zhang Xiao-Hua Huang Lin Yang 《World Journal of Radiology》 2026年第2期51-59,共9页
BACKGROUND Cognitive impairment is a common functional impairment after stroke that severely affects the quality of life of patients.The underlying neurobiological mechanisms of poststroke cognitive impairment(PSCI)re... BACKGROUND Cognitive impairment is a common functional impairment after stroke that severely affects the quality of life of patients.The underlying neurobiological mechanisms of poststroke cognitive impairment(PSCI)remain unclear.AIM To investigate the changes in functional connectivity(FC)in the brains of patients with PSCI.METHODS A total of 21 patients with PSCI and 12 healthy controls were selected as study subjects,and resting-state functional magnetic resonance imaging was performed.The brain region[Cerebellum_6_R(aal)]with significant differences identified by regional homogeneity analysis and the left thalamus,right thalamus,left basal ganglia,and right basal ganglia in the Brainnetome Atlas were selected as the seeds(regions of interest),and the FC between the seeds and whole-brain voxels was analyzed.Moreover,the 116 brain regions defined in the AAL116 atlas were selected as seeds(regions of interest),and the FC between the whole-brain seeds was calculated.RESULTS The results of the seed-based FC analysis revealed that the FC of the Cerebelum_9_R,Occipital_Mid_L,and Fusiform_R in the PSCI group was significantly greater than that in the control group.FC analysis of whole-brain seeds revealed that the FC of 20 pairs(Cerebelum_4_5_R and Cerebelum_6_R,etc.)in the PSCI group was significantly greater than that in the healthy control group.CONCLUSION Patients with PSCI exhibit changes in the FC of specific brain regions in the resting state,which may help researchers explore the underlying neurobiological mechanisms of PSCI from a new perspective. 展开更多
关键词 Functional connectivity Ischemic stroke Cognitive impairment Resting-state functional magnetic resonance imaging Stroke
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Aberrant resting-state functional connectivity in amygdala subregions among adolescents with depression and suicide attempts 认领 引用 被引量：1
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作者 Shao-Chen Cheng Yong-Ming Wang +5 位作者 Yu-Tong Li Qian-Nan Yao Xin-Lin Huang Jian Ji Xiao-Bin Zhang Hong-Yan Sun 《World Journal of Psychiatry》 SCIE 2026年第1期91-103,共13页
BACKGROUND Suicide constitutes the second leading cause of death among adolescents globally and represents a critical public health concern.The neural mechanisms underlying suicidal behavior in adolescents with major ... BACKGROUND Suicide constitutes the second leading cause of death among adolescents globally and represents a critical public health concern.The neural mechanisms underlying suicidal behavior in adolescents with major depressive disorder(MDD)remain poorly understood.Aberrant resting-state functional connectivity(rsFC)in the amygdala,a key region implicated in emotional regulation and threat detection,is strongly implicated in depression and suicidal behavior.AIM To investigate rsFC alterations between amygdala subregions and whole-brain networks in adolescent patients with depression and suicide attempts.METHODS Resting-state functional magnetic resonance imaging data were acquired from 32 adolescents with MDD and suicide attempts(sMDD)group,33 adolescents with MDD but without suicide attempts(nsMDD)group,and 34 demographically matched healthy control(HC)group,with the lateral and medial amygdala(MeA)defined as regions of interest.The rsFC patterns of amygdala subregions were compared across the three groups,and associations between aberrant rsFC values and clinical symptom severity scores were examined.RESULTS Compared with the nsMDD group,the sMDD group exhibited reduced rsFC between the right lateral amygdala(LA)and the right inferior occipital gyrus as well as the left middle occipital gyrus.Compared with the HC group,the abnormal brain regions of rsFC in the sMDD group and nsMDD group involve the parahippocampal gyrus(PHG)and fusiform gyrus.In the sMDD group,right MeA and right temporal pole:Superior temporal gyrus rsFC value negatively correlated with the Rosenberg Self-Esteem Scale scores(r=-0.409,P=0.025),while left LA and right PHG rsFC value positively correlated with the Adolescent Self-Rating Life Events Checklist interpersonal relationship scores(r=0.372,P=0.043).CONCLUSION Aberrant rsFC changes between amygdala subregions and these brain regions provide novel insights into the underlying neural mechanisms of suicide attempts in adolescents with MDD. 展开更多
关键词 Suicide attempt Adolescent Major depressive disorder Amygdala Functional connectivity
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The Initial Mass Function as the Equilibrium State of a Variational Process:Why the IMF Cannot be Sampled Stochastically 认领 引用
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作者 Eda Gjergo Zhiyu Zhang Pavel Kroupa 《Research in Astronomy and Astrophysics》 SCIE CAS CSCD 2026年第5期163-174,共12页
The stellar initial mass function(sIMF)is often treated as a stochastic probability distribution,yet such an interpretation implies Poisson noise that is inconsistent with growing observational evidence.In particular,... The stellar initial mass function(sIMF)is often treated as a stochastic probability distribution,yet such an interpretation implies Poisson noise that is inconsistent with growing observational evidence.In particular,the observed relation between the mass of the most massive star formed in an embedded cluster and the cluster’s total stellar mass supports a deterministic sampling process,known as optimal sampling.However,the physical origin of optimal sampling has not been formally established in the literature.In this work,we show that the stellar mass distribution implied by optimal sampling emerges from applying the Maximum Entropy principle to the fragmentation of star-forming clumps,whose structure is set by density-dependent cooling in the optically thin regime.Here,the Maximum Entropy leads to unbiased distributions.By applying calculus of variations to minimize the entropy functional obtained assuming fragmentation,we recover the power-law form of the sIMF,and we show that any distribution deviating from the sIMF violates the Maximum Entropy principle.This work provides a first-principles foundation for the deterministic nature of star formation.Thus,the sIMF is the distribution resulting from a maximally unbiased system. 展开更多
关键词 galaxies star formation-stars luminosity function,mass function-galaxies evolution
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Spin-State Engineering via Cr3+ Incorporation in Co3O4 Spinel for Efficient Bifunctional Oxygen Electrocatalysis 认领 引用
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作者 Guangjian Xing Mingwang Lu +6 位作者 Guanhua Zhang Qitong Sheng Xiaojing Yang Xiaofei Yu Xinghua Zhang Zunming Lu Lanlan Li 《Carbon Energy》 SCIE EI CAS CSCD 2026年第3期151-161,共11页
The primary challenge in rechargeable Zn-air batteries lies in developing a catalyst capable of simultaneously improving performance for oxygen reduction reaction(ORR)during discharge and oxygen evolution reaction(OER... The primary challenge in rechargeable Zn-air batteries lies in developing a catalyst capable of simultaneously improving performance for oxygen reduction reaction(ORR)during discharge and oxygen evolution reaction(OER)during charge.Engineering spin configuration is essential for enhancing the intrinsic bifunctional activity and stability of spinel Co3O4.Herein,Cr3+is doped into Co3O4,inducing directional distortion of CoO_6 octahedron to modify crystal field splitting energy,pushing CoOhtoward intermediate-spin(IS)configuration(t2g5eg1)with optimized eg occupancy of 1.04.As a result,9%Cr-Co3O4demonstrates an excellent bifunctional activity and remarkable rechargeable Zn-air battery performance that even outperforms Pt/C+RuO2.Density functional theory(DFT)studies reveal that IS CoOhnot only regulates the adsorption energy of ORR/OER species but also transform the O2adsorption configuration from end-on to Griffith configuration,thus modifies the mechanisms of both ORR and OER process and optimize bifunctional activity and selectivity.This work provides mechanistic insight into the spin origin of ORR/OER catalysis and highlights a promising strategy for developing robust bifunctional electrocatalysts. 展开更多
关键词 oxygen electrocatalysis oxygen evolution reaction oxygen reduction reaction spin state spinel Co3O4
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Effect of paroxetine on neurological function and psychological state in patients with depression after acute ischemic stroke 认领 引用
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作者 Feng-Feng Shen Dong-Xiao Lin Hua Li 《World Journal of Psychiatry》 SCIE 2026年第4期168-175,共8页
BACKGROUND Failure to receive timely and effective treatment for post-acute ischemic stroke(post-AIS)depression will make treatment more difficult.Additionally,the effectiveness of current drug therapy needs to be opt... BACKGROUND Failure to receive timely and effective treatment for post-acute ischemic stroke(post-AIS)depression will make treatment more difficult.Additionally,the effectiveness of current drug therapy needs to be optimized.AIM To examine the influences of paroxetine(PARX)on the neurological function and psychological well-being in post-AIS patients with depression.METHODS This study involved 106 patients with post-AIS depression admitted between May 2020 and May 2023.The participants included 52 in the control group(Con),who received sertraline,and 54 in the research group(Res),treated with PARX.The two groups were compared across several aspects:Neurological function(measured by the National Institutes of Health Stroke Scale),activities of daily living(assessed with the modified Barthel index),psychological status(evaluated using the Hamilton Anxiety Scale/Hamilton Depression Scales),serum biochemical markers(C-reactive protein;procalcitonin),clinical effectiveness,and the occurrence of adverse events.RESULTS The data showed significantly reduced scores on National Institutes of Health Stroke Scale,Hamilton Anxiety Scale,and Hamilton Depression Scale,as well as decreased levels of serum biochemical indices such as C-reactive protein and procalcitonin in the Res group after treatment,which were statistically lower than the baseline and compared to the Con group;the Res group also had a clearly higher total effective rate and modified Barthel index scores than the Con group,with a lower overall incidence of adverse events such as dry mouth,loss of appetite,headache,and insomnia.CONCLUSION In summary,PARX positively influences neurological function,activities of daily living,and psychological wellbeing in patients with post-AIS depression,warranting clinical attention. 展开更多
关键词 Acute ischemic stroke Depression Paroxetine Neurological function Psychological state
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Resting-state brain network remodeling after different nerve reconstruction surgeries:a functional magnetic resonance imaging study in brachial plexus injury rats 认领 引用 被引量：3
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作者 Yunting Xiang Xiangxin Xing +6 位作者 Xuyun Hua Yuwen Zhang Xin Xue Jiajia Wu Mouxiong Zheng He Wang Jianguang Xu 《Neural Regeneration Research》 SCIE CAS CSCD 2025年第5期1495-1504,共10页
Distinct brain remodeling has been found after different nerve reconstruction strategies,including motor representation of the affected limb.However,differences among reconstruction strategies at the brain network lev... Distinct brain remodeling has been found after different nerve reconstruction strategies,including motor representation of the affected limb.However,differences among reconstruction strategies at the brain network level have not been elucidated.This study aimed to explore intranetwork changes related to altered peripheral neural pathways after different nerve reconstruction surgeries,including nerve repair,endto-end nerve transfer,and end-to-side nerve transfer.Sprague–Dawley rats underwent complete left brachial plexus transection and were divided into four equal groups of eight:no nerve repair,grafted nerve repair,phrenic nerve end-to-end transfer,and end-to-side transfer with a graft sutured to the anterior upper trunk.Resting-state brain functional magnetic resonance imaging was obtained 7 months after surgery.The independent component analysis algorithm was utilized to identify group-level network components of interest and extract resting-state functional connectivity values of each voxel within the component.Alterations in intra-network resting-state functional connectivity were compared among the groups.Target muscle reinnervation was assessed by behavioral observation(elbow flexion)and electromyography.The results showed that alterations in the sensorimotor and interoception networks were mostly related to changes in the peripheral neural pathway.Nerve repair was related to enhanced connectivity within the sensorimotor network,while end-to-side nerve transfer might be more beneficial for restoring control over the affected limb by the original motor representation.The thalamic-cortical pathway was enhanced within the interoception network after nerve repair and end-to-end nerve transfer.Brain areas related to cognition and emotion were enhanced after end-to-side nerve transfer.Our study revealed important brain networks related to different nerve reconstructions.These networks may be potential targets for enhancing motor recovery. 展开更多
关键词 brain functional networks end-to-end nerve transfer end-to-side nerve transfer independent component analysis nerve repair peripheral plexus injury resting-state functional connectivity
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Establishing optical indicators for the state of hydrogen in MgH2 认领 引用 被引量：1
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作者 Yuxuan Liu Tingyan Wang +7 位作者 Man Shu Jianghao Cai Xiaotian Tang Tongao Yao Zhuoran Xu Zhengyang Gao Juan Chen Weijie Yang 《International Journal of Minerals,Metallurgy and Materials》 SCIE EI CAS CSCD 2026年第5期1436-1447,I0039-I0064,共12页
Accurate determination of the state of hydrogen(SOH)in solid-state hydrogen storage materials is essential not only for optimizing hydrogen release kinetics and enhancing storage efficiency but also for ensuring syste... Accurate determination of the state of hydrogen(SOH)in solid-state hydrogen storage materials is essential not only for optimizing hydrogen release kinetics and enhancing storage efficiency but also for ensuring system safety in practical applications.While most existing studies have concentrated on thermodynamics and kinetics,direct monitoring of residual hydrogen content,a parameter of critical engineering relevance,has rarely been reported.This highlights the urgent need to realize online SOH detection through new physical properties.In this study,we propose a non-invasive,real-time SOH monitoring strategy for magnesium hydride(MgH2),based on optical properties and combining density functional theory(DFT)-based optical calculations with experimental validation.Using DFT,the optical properties of MgH2and its dehydrogenated form(Mg)were systematically calculated across the infrared,visible,and ultraviolet spectral ranges.Theoretical results revealed strong linear correlations between SOH and specific optical parameters,such as reflectance at1200 nm and 550 nm and refractive index at 250 nm,with the coefficient of determination exceeding 0.99 and mean absolute errors below 0.05.To validate these predictions,reflectance measurements were conducted at 940 nm,a wavelength identified as highly sensitive to hydrogenation,and a consistent decrease in reflectance with increasing hydrogen uptake was observed.The underlying mechanism was attributed to band structure evolution and electron density redistribution,supported by density of states analysis and Drude model interpretations.This work establishes a robust theoretical and experimental framework for optical SOH diagnostics,emphasizes the importance of residual hydrogen detection for advancing solid-state hydrogen storage from fundamental research toward practical engineering applications,and provides new insights into the design of intelligent,optically responsive hydrogen storage systems,paving the way for the development of spectroscopic SOH sensors in next-generation hydrogen energy technologies. 展开更多
关键词 magnesium hydride state of hydrogen density functional theory optical properties reflectance measurements
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The functional state of athletes who have undergone coronavirus infection(COVID-19) 认领 引用
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作者 Victoria Zaborova Irina Lazareva +6 位作者 Kira Kryuchkova Christina Popova Vitaly Rybakov Dmitry Shestakov Valerio Bonavolonta Laura Guidetti Giovanna Zimatore 《Sports Medicine and Health Science》 CSCD 2025年第6期453-459,共7页
This study aimed to investigate the energy supply of athletes,who had a mild form of coronavirus infection(COVID-19)under cycling ergometric load(CEL)to substantiate the timing of recovery,as well as to determine the ... This study aimed to investigate the energy supply of athletes,who had a mild form of coronavirus infection(COVID-19)under cycling ergometric load(CEL)to substantiate the timing of recovery,as well as to determine the volume and intensity of physical activity.Eighty-seven athletes aged from 18 to 28 years old,involved in cyclic sports,were examined.Group I consisted of 52 athletes with COVID-19,and group Ⅱ consisted of 37 healthy self-isolating athletes.In addition to the comprehensive examination,the tested athletes underwent special examinations:the study of diagnostic material using methods of nucleic acid amplification,spirography and spiroergometry,electrocardiography(ECG),and CEL.The results of athletes from both groups did not differ significantly(p>0.5)in the 1st,2nd,and 3rd examinations.The second examination revealed a discrepancy between functional reserves and the load performed,as evidenced by the difference in the recovery rate of most indicators,the results of the third examination in the long-term period(6 months)showed that the athletes of the first group did not have any violations of the parameters of the respiratory function(RF)and cardiovascular system at rest,after performing CEL,as well as in the recovery period.The results suggest that the full resumption of training loads and participation in competitions are possible only with the complete normalization of the functional state of the cardiorespiratory system.The most informative indicators are:minute ventilation(V E),heart rate(HR),oxygen pulse(OP),and coefficient of oxygen utilization(COU). 展开更多
关键词 Functional state Coronavirus infection COVID-19 Athletes Cycling ergometric load Spirography Spiroergometry
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Higher-order topological states and magnetic field control in elastic metamaterials 认领 引用 被引量：1
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作者 Yuqi Tang Weijian Zhou +3 位作者 Yangwei Mai Yingjie Chen Zheng Zhong Weiqiu Chen 《Acta Mechanica Sinica》 SCIE EI CAS CSCD 2026年第3期138-145,共8页
Recently,the concept of higher-order topological insulators has aroused widespread attention and research interest.However,current studies have predominantly focused on the domain of acoustic waves.Compared to acousti... Recently,the concept of higher-order topological insulators has aroused widespread attention and research interest.However,current studies have predominantly focused on the domain of acoustic waves.Compared to acoustic waves,elastic waves are vector waves,making their study more complex and challenging.Therefore,achieving higher-order topological states in elastic waves holds significant research value.In this paper,we proposed the design of an intelligent topological metamaterial,which is composed of magneto-rheological thin layers and an elastic substrate.First,by adjusting the topological structure,we successfully excited first-order topological states of Lamb waves in numerical simulations.Subsequently,we constructed a two-dimensional topological structure to excite zero-order topological corner states.Given the unique advantages of magnetic fields in regulating material properties and behaviors,we investigated the effects of magnetic fields as an external control mechanism on Lamb waves in magneto-rheological materials.Our analysis focused on the regulation of Lamb wave topological edge states and corner states via magnetic fields.The results demonstrate that by varying the magnetic field strength,we can precisely control the characteristics of the topological states.Magnetic field modulation of the topological states in Lamb waves enables the realization of non-contact,controllable phononic devices,which is of great significance for the development of topological acoustics. 展开更多
关键词 Lamb waves Topological insulators Topological edge states Topological corner states Magnetic field modulation
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Influence of aerobic exercise on the cognitive and social functions of elderly patients with schizophrenia 认领 引用 被引量：1
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作者 Can Ao Lu Zhan +2 位作者 Yu-Lan Mou Shu Hu Yong-Hong Huang 《World Journal of Psychiatry》 SCIE 2026年第3期180-190,共11页
BACKGROUND Schizophrenia presents complex challenges in older patients due to cognitive and social decline.Existing drug treatments offer limited benefits and pose risks,while aerobic exercise shows promise as a nonin... BACKGROUND Schizophrenia presents complex challenges in older patients due to cognitive and social decline.Existing drug treatments offer limited benefits and pose risks,while aerobic exercise shows promise as a noninvasive intervention whose impact remains underexplored.AIM To investigate the effects of aerobic exercise on cognitive and social function in older patients with schizophrenia.METHODS A retrospective study was conducted in 158 older patients with schizophrenia treated at The First Affiliated Hospital of Chongqing Medical and Pharmaceutical College(June 2023 and December 2024).The patients were divided into an observation group(n=86),which received 3 months of aerobic rehabilitation alongside routine treatment,and a control group(n=72),which received routine treatment alone.Cognitive function was assessed using the Measurement and Treatment Research to Improve Cognition in Schizophrenia Consensus Cognitive Battery,social function using the Inpatient Psychiatric Rehabilitation Outcome Scale(IPROS),and psychotic symptoms using the Positive and Negative Syndrome Scale.RESULTS Post-treatment,Positive and Negative Syndrome Scale total scores were lower in the observation group than in the controls(P<0.001),with significant improvements in positive,negative,and general symptoms.Measurement and Treatment Research to Improve Cognition in Schizophrenia Consensus Cognitive Battery domain scores were improved in processing speed,working memory,verbal/visual learning,and executive function(all P<0.05).IPROS total scores were decreased(P<0.001),indicating better social functioning.Longer exercise duration correlated with greater cognitive gains and lower social function deficits.Body mass index declined(P<0.001),and adverse events were mild and transient(9.3%).Multivariate linear regression confirmed that aerobic exercise was independently associated with a significant reduction in IPROS scores(Adjustedβ=-4.57,95%confidence intervals:-6.08 to-3.05,P<0.001).CONCLUSION Aerobic exercise effectively improves cognitive function,social function,and psychotic symptoms in older patients with schizophrenia,is safe,and serves as a valuable adjunctive intervention. 展开更多
关键词 Schizophrenia Aerobic exercise Cognitive function Social function Elderly patients
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Supramolecular self-assembled graphitic carbon nitride catalyst:A comprehensive review on design principle,synthesis strategy,functionalization and application 认领 引用 被引量：2
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作者 Hao Yang Shaodong Sun +1 位作者 Qing Yang Jie Cui 《Nano Materials Science》 EI CAS CSCD 2026年第2期364-437,共74页
Graphitic carbon nitride(g-CN)stands out as the most promising candidate for solar energy conversion owing to its easy preparation,metal-free nature,flexible molecular structure,moderate bandgap,and excellent thermal/... Graphitic carbon nitride(g-CN)stands out as the most promising candidate for solar energy conversion owing to its easy preparation,metal-free nature,flexible molecular structure,moderate bandgap,and excellent thermal/chemical stability.To enhance the performance of intrinsic g-CN,a supramolecular self-assembly strategy has been proposed to regulate the molecular structure of supramolecular precursors through non-covalent interactions across molecular building blocks,thereby optimizing the electronic structure of g-CN.This review provides a comprehensive overview of the recent progress in supramolecular self-assembly-derived graphitic carbon nitride(SM-CN)from both experimental and theoretical computational research in synthesis strategies,including synthesis methods and influencing factors,providing a theoretical foundation for the design of supramolecular assembly.It also discusses modification strategies,such as internal modification of the conjugated plane,interlayer optimization,and construction of heterointerfaces to improve the electronic structure of SM-CN owing to its unique layered structure.This review further summarizes the applications of SM-CN in environment and energy,including wastewater treatment,sterilization and disinfection/air purification,water splitting,H2O2production,organic synthesis/biomass conversion,CO2reduction,photocatalytic coupling technology.Finally,perspectives and outlooks for the future development of SM-CN aim to inspire further innovation in the design and construction of high-performance SM-CN for broader applications. 展开更多
关键词 Graphitic carbon nitride Photocatalysis Supramolecular self-assembly Functionalization Application
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Periodontitis pathogen Porphyromonas gingivalis promotes chronic obstructive pulmonary disease via affecting neutrophils chemotaxis and function 认领 引用 被引量：1
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作者 Luyao Zhang Huan Tian +4 位作者 Yuanyuan Ma Jing Xu Chang Guo Zuomin Wang Jie Ma 《International Journal of Oral Science》 SCIE CAS CSCD 2026年第1期115-125,共11页
Chronic obstructive pulmonary disease(COPD),a disease responsible for early mortality worldwide,is well accepted to be associated with periodontitis epidemiologically.Although both of the diseases are the multi-microb... Chronic obstructive pulmonary disease(COPD),a disease responsible for early mortality worldwide,is well accepted to be associated with periodontitis epidemiologically.Although both of the diseases are the multi-microbial inflammatory disease,the precise underlying mechanisms by which periodontitis influences the progression of COPD remains largely unknown.Here,we established COPD accompanied with periodontitis mouse models and observed the pronounced progress in pulmonary symptoms and histopathology,cha racterized by poorer respiratory function,thicke ned bronchial walls,and increased neutrophils infiltration in lung tissue.Mechanistically,periodontitis pathogen Porphyromonas gingivalis(P.gingivalis)relocated in the lung through the respiratory tract and LPS from P.gingivalis promoted the secretion of chemokines CXCL2 and G-CSF of alveolar epithelial cells through NF-κB and p38 MAPK pathways to recruit neutrophils.Furthermore,exposure to P.gingivalis of infiltrated neutrophils released matrix metallopeptidase-8(MMP-8)and neutrophil elastase(NE),which aggravated airway inflammation and tissue damage.These findings indicated that periodontitis could exacerbate COPD via its pathogen P.gingivalis,which translocated in the lung and stimulated neutrophil chemotaxis and activation in the lung. 展开更多
关键词 neutrophils chemotaxis pulmonary symptoms histopathology periodontitis neutrophils function chronic obstructive pulmonary disease respiratory function chronic obstructive pulmonary disease copd
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Functional near-infrared spectroscopy:Systematic mapping of abnormal brain function features in neurological disorders 认领 引用 被引量：1
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作者 Yunjie Li Yangyang Feng +6 位作者 Xia Liu Ruochao Yuan Shiling Chen Jingyi Wang Chao Pan Gaigai Li Zhouping Tang 《Neural Regeneration Research》 SCIE CAS CSCD 2026年第10期4506-4522,共17页
Functional near-infrared spectroscopy quantifies cerebral hemodynamic signals by capturing oxygenation-dependent changes in hemoglobin in a noninvasive,portable,and ecologically valid manner,providing a unique insight... Functional near-infrared spectroscopy quantifies cerebral hemodynamic signals by capturing oxygenation-dependent changes in hemoglobin in a noninvasive,portable,and ecologically valid manner,providing a unique insight into neurovascular coupling.However,functional imaging biomarkers with high ecological validity for neurological disorders such as stroke,Parkinson's disease,dementia,amyotrophic lateral sclerosis,epilepsy,spinal cord injury,and traumatic brain injury are lacking,limiting the mechanistic understanding,treatment evaluations,and individualized interventions.The aim of this review is to systematically summarize evidence from the past decade on the use of functional near-infrared spectroscopy under the aforementioned conditions,synthesize its value for revealing neural mechanisms and assessing therapeutic responses,and identify current technical bottlenecks and future directions for advancement.Collectively,the findings demonstrate that functional near-infrared spectroscopy possesses substantial and far-reaching potential for uncovering the neural mechanisms underlying disease and for evaluating treatment-induced changes in brain function.Equipped with wearable probes,functional near-infrared spectroscopy can continuously and noninvasively monitor brain activity in naturalistic environments for extended periods,thereby overcoming the limitations of conventional imaging modalities that can only acquire data under restricted settings.This capability can furnish unprecedented objective neuroimaging evidence for neuroregenerative therapy research.Moreover,the portability of functional near-infrared spectroscopy allows it to be integrated into neurofeedback training systems:hemoglobin signals can be fed back to participants within milliseconds,enabling targeted,individualized,closed-loop modulation of brain function and considerably expanding the scope of hemodynamicsbased neurofeedback.When combined with other brain function assays(such as electroencephalography)and intervention techniques(such as transcranial magnetic stimulation and transcranial direct current stimulation),functional near-infrared spectroscopy also supplies high-temporal-resolution hemodynamic information,laying a critical foundation for the construction of high-precision noninvasive brain–computer interfaces,real-time cognitivestate decoding,and adaptive neuromodulation.Admittedly,almost all existing functional near-infrared spectroscopy studies are still observational and have small sample sizes,short follow-ups,and insufficient controls—shortcomings that together produce low-grade evidence.Therefore,there is still a significant gap before clinical translation can be achieved.Technically,the limited penetration depth of functional near-infrared spectroscopy restricts sampling to the superficial cortex,leaving deep nuclei largely unreachable.In addition,no consensus exists across devices regarding optode layout,light-source choice,motion-artifact correction,or analytical pipelines,creating pronounced heterogeneity that undermines reproducibility.With artificial intelligence and big data analytics advancing rapidly,functional near-infrared spectroscopy embedded within multimodal fusion frameworks is now poised to systematically map aberrant brain function signatures of neurological disorders,identify pathological regions suitable for targeted intervention,and provide real-time assessments of functional changes produced by neuroregenerative therapies. 展开更多
关键词 biomarkers brain mapping clinical translational application functional connectivity functional near-infrared spectroscopy multimodal fusion nervous system diseases neuroimaging neuroregenerative therapy neurovascular coupling
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Synthetic metabolic engineering of functional crops:Boosting nutrition and human health 认领 引用 被引量：5
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作者 Nan Chai Jie Xu +12 位作者 Ruixiang Zhang Guangzhou Li Jun Wen Liying Su Yang Xue Tie Li Jialin Liu Dongchang Zeng Jiantao Tan Jiaqi Huang Letian Chen Yao-Guang Liu Qinlong Zhu 《The Crop Journal》 SCIE CSCD 2026年第1期8-21,共14页
A growing global population and the increasing prevalence of diet-related health issues such as“hidden hunger”,obesity,hypertension,and diabetes necessitate a fundamental rethinking of crop design and breeding.Synth... A growing global population and the increasing prevalence of diet-related health issues such as“hidden hunger”,obesity,hypertension,and diabetes necessitate a fundamental rethinking of crop design and breeding.Synthetic metabolic engineering offers a method to modify and redesign metabolic pathways to increase the nutritional value of crops.We summarize recent advances in the biofortification of key nutrients including provitamin A,vitamin C,vitamin B9,iron,zinc,anthocyanins,flavonoids,and unsaturated fatty acids.We discuss the potential of multi-gene stacking,gene editing,enzyme engineering,and artificial intelligence in synthetic metabolic engineering.We propose future research directions and potential solutions centered on leveraging AI-driven systems biology,precision gene editing,enzyme engineering,agrobacterium-mediated genotype-independent transformation,and modular metabolic engineering strategies to develop next-generation nutritionally enhanced super crops and transform global food systems. 展开更多
关键词 Synthetic biology Synthetic metabolism engineering Functional crops Multigene stacking and gene editing Artificial intelligence
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Ab initio density functional theory approach to warm dense hydrogen:From density response to electronic correlations 认领 引用 被引量：1
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作者 Zhandos A.Moldabekov Xuecheng Shao +5 位作者 Hannah M.Bellenbaum Cheng Ma Wenhui Mi Sebastian Schwalbe Jan Vorberger Tobias Dornheim 《Matter and Radiation at Extremes》 SCIE EI CAS CSCD 2026年第2期14-20,共7页
Understanding the properties of warm dense hydrogen is of key importance for the modeling of compact astrophysical objects and to understand and further optimize inertial confinement fusion applications.The workhorse ... Understanding the properties of warm dense hydrogen is of key importance for the modeling of compact astrophysical objects and to understand and further optimize inertial confinement fusion applications.The workhorse of warm dense matter theory is thermal density functional theory(DFT),which,however,suffers from two limitations:(i)its accuracy can depend on the utilized exchange-correlation functional,which has to be approximated,and(ii)it is generally limited to single-electron properties such as the density distribution.Here,we present a new ansatz combining time-dependent DFT results for the dynamic structure factor See(q,ω)with static DFT results for the density response.This allows us to estimate the electron-electron static structure factor See(q)of warm dense hydrogen with high accuracy over a broad range of densities and temperatures.In addition to its value for the study of warm dense matter,our work opens up new avenues for the future study of electronic correlations exclusively within the framework of DFT for a host of applications. 展开更多
关键词 thermal density functional theory dft whichhoweversuffers understanding properties warm dense hydrogen thermal density functional theory understand further optimize inertial confinement fusion applicationsthe warm dense matter theory electronic correlations warm dense hydrogen density functional theory
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Interfacial plugging of shale microfractures using functionalized graphene oxide with high dispersion stability under harsh conditions 认领 引用 被引量：1
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作者 Dao-Xiong Li Yang Bai +5 位作者 Cheng Wang Na Su Ling-Feng Wu Deng Gu Yu-Fen Zhai Ping-Ya Luo 《Petroleum Science》 SCIE EI CAS CSCD 2026年第1期422-433,共12页
Shale gas development often suffers from wellbore instability due to microfractures in the formation,posing serious challenges to drilling safety and efficiency.This study presents a functionalized graphene oxide(GO-P... Shale gas development often suffers from wellbore instability due to microfractures in the formation,posing serious challenges to drilling safety and efficiency.This study presents a functionalized graphene oxide(GO-PAA)nanomaterial,prepared by grafting hydrophilic polyacrylic acid(PAA)chains onto GO surfaces to enhance dispersion stability under high salinity,elevated temperature,and wide pH conditions.The results indicate that GO-PAA effectively resists charge-shielding effects under conditions of high salinity,elevated temperature,and a wide pH range,significantly reducing the risk of particle aggregation.Even at high salt concentrations,the zeta potential remains below-32.8 mV,demonstrating good colloidal stability.Plugging performance was evaluated using simulated core experiments.GO-PAA fo rmed a"band-aid"like barrier on shale microfracture surfaces,reducing permeability by up to57.53%,nearly twice that of conventional spherical nano particles.Scanning electron microscope(SEM)and elemental analysis confirmed the formation of a dense and uniform plugging layer.The synergistic interaction between GO's 2D lamellar structure and the flexible polymer chains facilitated effective surface adhesion and coverage.This adsorption-adhesion plugging mechanism represents a shift from traditional bridging theories,enabling reduced material usage and improved efficiency.The findings provide theo retical and practical support for designing high-perfo rmance nanoplugging agents in waterbased drilling fluids,contributing to safer and more sustainable shale gas development. 展开更多
关键词 Functionalized GO Stable dispersion Interfacial plugging Nanoplugging agent Shale microfractures
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New functional metal-organic framework(MOF) based optical thermometer by the post-synthesis doping rare earth ions into MOF 认领 引用 被引量：1
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作者 Ying Zhao Yin-Hang Chai +4 位作者 Meng-Meng Zhai Qin-Ying Jin Xiaoyan Lu Yi-Dan Qiao Lu-Fang Ma 《Chinese Chemical Letters》 SCIE CAS CSCD 2026年第1期644-649,共6页
Ln@MOFs by anchoring rare metal ions(Ln) into metal-organic frameworks(MOFs) are proved to have great potential in the field of luminescent molecular thermometer.Nevertheless,the current research indicated that the po... Ln@MOFs by anchoring rare metal ions(Ln) into metal-organic frameworks(MOFs) are proved to have great potential in the field of luminescent molecular thermometer.Nevertheless,the current research indicated that the poor structural stability and low sensitivity hindered their application scope.In this work,a new MOF Zn-450 luminescent thermometer with multiple emission fluorescence characteristics was synthesized by the combination of 3,3,5,5-biphenyl tetracarboxylic acid(H4L) and Zn2+ ion under solvothermal conditions.Interestingly,a high relative sensitivity of 1.43 % K-1 was found within 80-300 K based on Zn-450.Subsequently,two high-sensitivity luminescent Ln@MOFs(Ln = Eu and Tb) were further fabricated by doping rare earth ions into Zn-450 based on the post-synthesis strategy.Among them,the Eu@Zn-450 demonstrates various luminous behaviors while achieving an increased relative sensitivity of 1.63 % K-1.In addition,the continuously visible red,pink,and purple luminescent emissions at the same temperature range were observed,suggesting that the Eu@Zn-450 could be utilized as a luminescent colorimetric molecular thermometer.Importantly,this work can present new possibilities for the development of rare earth-doped luminescence and its temperature sensing properties. 展开更多
关键词 MOFs Optical thermometer Post-synthesis functionalization Rare metal ions LED
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Identification of key brain networks and functional connectivities of successful aging:A surface-based resting-state functional magnetic resonance study 认领 引用
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作者 Jiao-Jiao Sun Li Zhang +3 位作者 Ru-Hong Sun Xue-Zheng Gao Chun-Xia Fang Zhen-He Zhou 《World Journal of Psychiatry》 SCIE 2025年第3期216-226,共11页
BACKGROUND Successful aging(SA)refers to the ability to maintain high levels of physical,cognitive,psychological,and social engagement in old age,with high cognitive function being the key to achieving SA.AIM To explo... BACKGROUND Successful aging(SA)refers to the ability to maintain high levels of physical,cognitive,psychological,and social engagement in old age,with high cognitive function being the key to achieving SA.AIM To explore the potential characteristics of the brain network and functional connectivity(FC)of SA.METHODS Twenty-six SA individuals and 47 usual aging individuals were recruited from community-dwelling elderly,which were taken the magnetic resonance imaging scan and the global cognitive function assessment by Mini Mental State Examination(MMSE).The resting state-functional magnetic resonance imaging data were preprocessed by DPABISurf,and the brain functional network was conducted by DPABINet.The support vector machine model was constructed with altered functional connectivities to evaluate the identification value of SA.RESULTS The results found that the 6 inter-network FCs of 5 brain networks were significantly altered and related to MMSE performance.The FC of the right orbital part of the middle frontal gyrus and right angular gyrus was mostly increased and positively related to MMSE score,and the FC of the right supramarginal gyrus and right temporal pole:Middle temporal gyrus was the only one decreased and negatively related to MMSE score.All 17 significantly altered FCs of SA were taken into the support vector machine model,and the area under the curve was 0.895.CONCLUSION The identification of key brain networks and FC of SA could help us better understand the brain mechanism and further explore neuroimaging biomarkers of SA. 展开更多
关键词 Successful aging Resting-state functional magnetic resonance imaging Surface-based brain network analysis Functional connectivity Support vector machine algorithm
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