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
BACKGROUND Very late-onset schizophrenia-like psychosis(VLOSLP)is a subtype of schizophrenia spectrum disorders in which individuals experience psychotic symptoms for the first time after the age of 60.The incidence o...BACKGROUND Very late-onset schizophrenia-like psychosis(VLOSLP)is a subtype of schizophrenia spectrum disorders in which individuals experience psychotic symptoms for the first time after the age of 60.The incidence of VLOSLP shows a linear relationship with increasing age.However,no studies have reported alterations in spontaneous brain activity among VLOSLP patients and their correlation with cognitive function and clinical symptoms.AIM To explore VLOSLP brain activity and correlations with cognitive function and clinical symptoms using resting-state functional magnetic resonance imaging.METHODS This study included 33 VLOSLP patients and 34 healthy controls.The cognitive assessment utilized the Mini Mental State Examination,Montreal Cognitive Assessment,and the Repeatable Battery for the Assessment of Neuropsychological Status(RBANS).Clinical characteristic acquisition was performed via the Positive and Negative Syndrome Scale(PANSS).All participants were scanned via resting-state functional magnetic resonance imaging,and the data were processed using amplitude of low-frequency fluctuations(ALFF),fractional ALFF(fALFF),regional homogeneity,and voxelmirrored homotopic connectivity(VMHC).RESULTS The VLOSLP group presented decreased ALFF values in the left cuneus,right precuneus,right precentral gyrus,and left paracentral lobule;increased fALFF values in the left caudate nucleus;decreased fALFF values in the right calcarine fissure and surrounding cortex(CAL)and right precuneus;increased regional homogeneity values in the right putamen;and decreased VMHC values in the bilateral CAL,bilateral superior temporal gyrus,and bilateral cuneus.In the VLOSLP group,ALFF values in the right precuneus were negatively correlated with Mini Mental State Examination score and PANSS positive subscale score,and VMHC values in the bilateral CAL were negatively correlated with the RBANS total score,RBANS delayed memory score,and PANSS positive subscale score.CONCLUSION The changes of brain activity in VLOSLP are concentrated in the right precuneus and bilateral CAL regions,which may be associated with cognitive impairment and clinically positive symptoms.展开更多
BACKGROUND Currently,adolescent depression is one of the most significant public health concerns,markedly influencing emotional,cognitive,and social maturation.Despite advancements in distinguish the neurobiological s...BACKGROUND Currently,adolescent depression is one of the most significant public health concerns,markedly influencing emotional,cognitive,and social maturation.Despite advancements in distinguish the neurobiological substrates underlying depression,the intricate patterns of disrupted brain network connectivity in adolescents warrant further exploration.AIM To elucidate the neural correlates of adolescent depression by examining brain network connectivity using resting-state functional magnetic resonance imaging(rs-fMRI).METHODS The study cohort comprised 74 depressed adolescents and 59 healthy controls aged 12 to 17 years.Participants underwent rs-fMRI to evaluate functional connectivity within and across critical brain networks,including the visual,default mode network(DMN),dorsal attention,salience,somatomotor,and frontoparietal control networks.RESULTS Analyses revealed pronounced functional disparities within key neural circuits among adolescents with depression.The results demonstrated existence of hemispheric asymmetries characterized by enhanced activity in the left visual network,which contrasted the diminished activity in the right hemisphere.The DMN facilitated increased activity within the left prefrontal cortex and reduced engagement in the right hemisphere,implicating disrupted self-referential and emotional processing mechanisms.Additionally,an overactive right dorsal attention network and a hypoactive salience network were identified,underscoring significant abnormalities in attentional and emotional regulation in adolescent depression.CONCLUSION The findings from this study underscore distinct neural connectivity disruptions in adolescent depression,underscoring the critical role of specific neurobiological markers for precise early diagnosis of adolescent depression.The observed functional asymmetries and network-specific deviations elucidate the complex neurobiological architecture of adolescent depression,supporting the development of targeted therapeutic strategies.展开更多
BACKGROUND Research has found that the amygdala plays a significant role in underlying pathology of major depressive disorder(MDD).However,few studies have explored machine learning-assisted diagnostic biomarkers base...BACKGROUND Research has found that the amygdala plays a significant role in underlying pathology of major depressive disorder(MDD).However,few studies have explored machine learning-assisted diagnostic biomarkers based on amygdala functional connectivity(FC).AIM To investigate the analysis of neuroimaging biomarkers as a streamlined approach for the diagnosis of MDD in adolescents.METHODS Forty-four adolescents diagnosed with MDD and 43 healthy controls were enrolled in the study.Using resting-state functional magnetic resonance imaging,the FC was compared between the adolescents with MDD and the healthy controls,with the bilateral amygdala serving as the seed point,followed by statistical analysis of the results.The support vector machine(SVM)method was then applied to classify functional connections in various brain regions and to evaluate the neurophysiological characteristics associated with MDD.RESULTS Compared to the controls and using the bilateral amygdala as the region of interest,patients with MDD showed significantly lower FC values in the left inferior temporal gyrus,bilateral calcarine,right lingual gyrus,and left superior occipital gyrus.However,there was an increase in the FC value in Vermis-10.The SVM analysis revealed that the reduction in the FC value in the right lingual gyrus could effectively differentiate patients with MDD from healthy controls,achieving a diagnostic accuracy of 83.91%,sensitivity of 79.55%,specificity of 88.37%,and an area under the curve of 67.65%.CONCLUSION The results showed that an abnormal FC value in the right lingual gyrus was effective as a neuroimaging biomarker to distinguish patients with MDD from healthy controls.展开更多
BACKGROUND Adolescent major depressive disorder(MDD)is a significant mental health concern that often leads to recurrent depression in adulthood.Resting-state functional magnetic resonance imaging(rs-fMRI)offers uniqu...BACKGROUND Adolescent major depressive disorder(MDD)is a significant mental health concern that often leads to recurrent depression in adulthood.Resting-state functional magnetic resonance imaging(rs-fMRI)offers unique insights into the neural mechanisms underlying this condition.However,despite previous research,the specific vulnerable brain regions affected in adolescent MDD patients have not been fully elucidated.AIM To identify consistent vulnerable brain regions in adolescent MDD patients using rs-fMRI and activation likelihood estimation(ALE)meta-analysis.METHODS We performed a comprehensive literature search through July 12,2023,for studies investigating brain functional changes in adolescent MDD patients.We utilized regional homogeneity(ReHo),amplitude of low-frequency fluctuations(ALFF)and fractional ALFF(fALFF)analyses.We compared the regions of aberrant spontaneous neural activity in adolescents with MDD vs healthy controls(HCs)using ALE.RESULTS Ten studies(369 adolescent MDD patients and 313 HCs)were included.Combining the ReHo and ALFF/fALFF data,the results revealed that the activity in the right cuneus and left precuneus was lower in the adolescent MDD patients than in the HCs(voxel size:648 mm3,P<0.05),and no brain region exhibited increased activity.Based on the ALFF data,we found decreased activity in the right cuneus and left precuneus in adolescent MDD patients(voxel size:736 mm3,P<0.05),with no regions exhibiting increased activity.CONCLUSION Through ALE meta-analysis,we consistently identified the right cuneus and left precuneus as vulnerable brain regions in adolescent MDD patients,increasing our understanding of the neuropathology of affected adolescents.展开更多
Objective Little is known about the brain systems that contribute to vulnerability to post-traumatic stress disorder （PTSD）. Comparison of the resting-state patterns of intrinsic functional synchronization, as measu...Objective Little is known about the brain systems that contribute to vulnerability to post-traumatic stress disorder （PTSD）. Comparison of the resting-state patterns of intrinsic functional synchronization, as measured by functional magnetic resonance imaging （fMRI）, between groups with and without PTSD following a traumatic event can help identify the neural mechanisms of the disorder and targets for intervention. Methods Fifty-four PTSD patients and 72 matched traumatized subjects who experienced the 2008 Sichuan earthquake were imaged with blood oxygen level-dependent （BOLD） fMRI and analyzed using the measure of regional homogeneity （ReHo） during the resting state. Results PTSD patients presented enhanced ReHo in the left inferior parietal lobule and right superior frontal gyrus, and reduced ReHo in the right middle temporal gyrus and lingual gyrus, relative to traumatized individuals without PTSD. Conclusion Our findings showed that abnormal brain activity exists under resting conditions in PTSD patients who had been exposed to a major earthquake. Alterations in the local functional connectivity of cortical regions are likely to contribute to the neural mechanisms underlying PTSD.展开更多
The main symptom of patients with Alzheimer’s disease is cognitive dysfunction. Alzheimer’s disease is mainly diagnosed based on changes in brain structure. Functional connectivity reflects the synchrony of function...The main symptom of patients with Alzheimer’s disease is cognitive dysfunction. Alzheimer’s disease is mainly diagnosed based on changes in brain structure. Functional connectivity reflects the synchrony of functional activities between non-adjacent brain regions, and changes in functional connectivity appear earlier than those in brain structure. In this study, we detected resting-state functional connectivity changes in patients with Alzheimer’s disease to provide reference evidence for disease prediction. Functional magnetic resonance imaging data from patients with Alzheimer’s disease were used to show whether particular white and gray matter areas had certain functional connectivity patterns and if these patterns changed with disease severity. In nine white and corresponding gray matter regions, correlations of normal cognition, early mild cognitive impairment, and late mild cognitive impairment with blood oxygen level-dependent signal time series were detected. Average correlation coefficient analysis indicated functional connectivity patterns between white and gray matter in the resting state of patients with Alzheimer’s disease. Functional connectivity pattern variation correlated with disease severity, with some regions having relatively strong or weak correlations. We found that the correlation coefficients of five regions were 0.3–0.5 in patients with normal cognition and 0–0.2 in those developing Alzheimer’s disease. Moreover, in the other four regions, the range increased to 0.45–0.7 with increasing cognitive impairment. In some white and gray matter areas, there were specific connectivity patterns. Changes in regional white and gray matter connectivity patterns may be used to predict Alzheimer’s disease;however, detailed information on specific connectivity patterns is needed. All study data were obtained from the Alzheimer’s Disease Neuroimaging Initiative Library of the Image and Data Archive Database.展开更多
Research on brain function after brachial plexus injury focuses on local cortical functional reorganization,and few studies have focused on brain networks after brachial plexus injury.Changes in brain networks may hel...Research on brain function after brachial plexus injury focuses on local cortical functional reorganization,and few studies have focused on brain networks after brachial plexus injury.Changes in brain networks may help understanding of brain plasticity at the global level.We hypothesized that topology of the global cerebral resting-state functional network changes after unilateral brachial plexus injury.Thus,in this cross-sectional study,we recruited eight male patients with unilateral brachial plexus injury（right handedness,mean age of 27.9±5.4years old）and eight male healthy controls（right handedness,mean age of 28.6±3.2）.After acquiring and preprocessing resting-state magnetic resonance imaging data,the cerebrum was divided into 90 regions and Pearson’s correlation coefficient calculated between regions.These correlation matrices were then converted into a binary matrix with affixed sparsity values of 0.1–0.46.Under sparsity conditions,both groups satisfied this small-world property.The clustering coefficient was markedly lower,while average shortest path remarkably higher in patients compared with healthy controls.These findings confirm that cerebral functional networks in patients still show smallworld characteristics,which are highly effective in information transmission in the brain,as well as normal controls.Alternatively,varied small-worldness suggests that capacity of information transmission and integration in different brain regions in brachial plexus injury patients is damaged.展开更多
Although some short-term follow-up studies have found that individuals recovering from coronavirus disease 2019(COVID-19)exhibit anxiety,depression,and altered brain microstructure,their long-term physical problems,ne...Although some short-term follow-up studies have found that individuals recovering from coronavirus disease 2019(COVID-19)exhibit anxiety,depression,and altered brain microstructure,their long-term physical problems,neuropsychiatric sequelae,and changes in brain function remain unknown.This observational cohort study collected 1-year follow-up data from 22 patients who had been hospitalized with COVID-19(8 males and 11 females,aged 54.2±8.7 years).Fatigue and myalgia were persistent symptoms at the 1-year follow-up.The resting state functional magnetic resonance imaging revealed that compared with 29 healthy controls(7 males and 18 females,aged 50.5±11.6 years),COVID-19 survivors had greatly increased amplitude of low-frequency fluctuation(ALFF)values in the left precentral gyrus,middle frontal gyrus,inferior frontal gyrus of operculum,inferior frontal gyrus of triangle,insula,hippocampus,parahippocampal gyrus,fusiform gyrus,postcentral gyrus,inferior parietal angular gyrus,supramarginal gyrus,angular gyrus,thalamus,middle temporal gyrus,inferior temporal gyrus,caudate,and putamen.ALFF values in the left caudate of the COVID-19 survivors were positively correlated with their Athens Insomnia Scale scores,and those in the left precentral gyrus were positively correlated with neutrophil count during hospitalization.The long-term follow-up results suggest that the ALFF in brain regions related to mood and sleep regulation were altered in COVID-19 survivors.This can help us understand the neurobiological mechanisms of COVID-19-related neuropsychiatric sequelae.This study was approved by the Ethics Committee of the Second Xiangya Hospital of Central South University(approval No.2020 S004)on March 19,2020.展开更多
BACKGROUND Diabetes is a common chronic disease.Given the increasing incidence of diabetes,more individuals are affected by diabetic optic neuropathy(DON),which results in decreased vision.Whether DON leads to abnorma...BACKGROUND Diabetes is a common chronic disease.Given the increasing incidence of diabetes,more individuals are affected by diabetic optic neuropathy(DON),which results in decreased vision.Whether DON leads to abnormalities of other visual systems,including the eye,the visual cortex,and other brain regions,remains unknown.AIM To investigate the local characteristics of spontaneous brain activity using regional homogeneity(ReHo)in patients with DON.METHODS We matched 22 patients with DON with 22 healthy controls(HCs).All subjects underwent resting-state functional magnetic resonance imaging.The ReHo technique was used to record spontaneous changes in brain activity.Receiver operating characteristic(ROC)curves were applied to differentiate between ReHo values for patients with DON and HCs.We also assessed the correlation between Hospital Anxiety and Depression Scale scores and ReHo values in DON patients using Pearson correlation analysis.RESULTS ReHo values of the right middle frontal gyrus(RMFG),left anterior cingulate(LAC),and superior frontal gyrus(SFG)/left frontal superior orbital gyrus(LFSO)were significantly lower in DON patients compared to HCs.Among these,the greatest difference was observed in the RMFG.The result of the ROC curves suggest that ReHo values in altered brain regions may help diagnose DON,and the RMFG and LAC ReHo values are more clinically relevant than SFG/LFSO.We also found that anxiety and depression scores of the DON group were extremely negatively correlated with the LAC ReHo values(r=-0.9336,P<0.0001 and r=-0.8453,P<0.0001,respectively).CONCLUSION Three different brain regions show ReHo changes in DON patients,and these changes could serve as diagnostic and/or prognostic biomarkers to further guide the prevention and treatment of DON patients.展开更多
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
Background Previous studies have shown that brain functional activity in the resting state is impaired in Alzheimer＇s disease （AD） patients. However, alterations in intrinsic brain activity patterns in mild cogniti...Background Previous studies have shown that brain functional activity in the resting state is impaired in Alzheimer＇s disease （AD） patients. However, alterations in intrinsic brain activity patterns in mild cognitive impairment （MCI） patients are poorly understood. This study aimed to explore the differences in regional intrinsic activities throughout the whole brain between aMCI patients and controls. Methods In the present study, resting-state functional magnetic resonance imaging （fMRI） was performed on 18 amnestic MCI （aMCI） patients, 18 mild AD patients and 20 healthy elderly subjects. And amplitude of low-frequency fluctuation （ALFF） method was used. Results Compared with healthy elderly subjects, aMCI patients showed decreased ALFF in the right hippocampus and parahippocampal cortex, left lateral temporal cortex, and right ventral medial prefrontal cortex （vMPFC） and increased ALFF in the left temporal-parietal junction （TPJ） and inferior parietal Iobule （IPL）. Mild AD patients showed decreased ALFF in the left TPJ, posterior IPL （plPL）, and dorsolateral prefrontal cortex compared with aMCI patients. Mild AD patients also had decreased ALFF in the right posterior cingulate cortex, right vMPFC and bilateral dorsal MPFC （dMPFC） compared with healthy elderly subjects. Conclusions Decreased intrinsic activities in brain regions closely related to episodic memory were found in aMCI and AD patients. Increased TPJ and IPL activity may indicate compensatory mechanisms for loss of memory function in aMCI patients. These findings suggest that the fMRI based on ALFF analysis may provide a useful tool in the study of aMCI patients.展开更多
Objective To explore the influence of a polymorphism of protein tyrosine phosphatase receptor type R(PTPRR)gene rs1513105 on abnormal brain activities in resting-state patients with major depressive disorder(MDD)using...Objective To explore the influence of a polymorphism of protein tyrosine phosphatase receptor type R(PTPRR)gene rs1513105 on abnormal brain activities in resting-state patients with major depressive disorder(MDD)using the gene-imaging technology.Methods 54MDD and 43 gender-,age-,and education-matched con-展开更多
We want to explore the analgesic brain effect of the moxibustion at heat-sensitized Yaoyangguan(GV3)in patients with lumbar disc herniation(LDH)and myofascial pain syndrome(MPS).In an assessor-blinded observational st...We want to explore the analgesic brain effect of the moxibustion at heat-sensitized Yaoyangguan(GV3)in patients with lumbar disc herniation(LDH)and myofascial pain syndrome(MPS).In an assessor-blinded observational study,we will include 15 LDH and 15 MPS.They will accept same treatment of heat-sensitive moxibustion at Yaoyangguan(GV3).The resting-state functionality magnetic resonance imaging image data of brain activities before and after treatment will be analyzed by mean fractional amplitude of low-frequency fluctuation,regional homogeneity analysis and brain functional connection.We select seed of first sensory cortex,second sensory cortex,insula cortex,periaqueductal gray and anterior cingulate cortex as the regions of interest to analyse the relationship between brain functional connectivity of pain-related networks and clinical data.Our study could disclose key brain targets and central response characteristics of the analgesic brain effect and the brain functional connection of heat-sensitive moxibustion.展开更多
Resting-state functional magnetic resonance imaging (RS-fMRI)[1,2] provides relatively high spatial and temporal resolution for mapping spontaneous brain activity non-invasively. It has been widely used in cognitive n...Resting-state functional magnetic resonance imaging (RS-fMRI)[1,2] provides relatively high spatial and temporal resolution for mapping spontaneous brain activity non-invasively. It has been widely used in cognitive neuroscience and clinical studies. A number of comprehensive software packages have been developed for RS-fMRI data analysis, among which a MATLAB package named REST (RESing-state fMRI data analysis Toolkit, released in October 2008 at http://www.restfmri.net)[3] is the earliest one dedicated to RS-fMRI analysis. REST focuses on RS-fMRI postprocessing metrics.展开更多
Backgroud Functional imaging studies indicate abnormal activities in cortico-limbic network in depression during either task or resting state. The present work was to explore the abnormal spontaneous activity shown wi...Backgroud Functional imaging studies indicate abnormal activities in cortico-limbic network in depression during either task or resting state. The present work was to explore the abnormal spontaneous activity shown with regional homogeneity （ReHo） in depression by resting-state functional magnetic resonance imaging （fMRI）.Methods Using fMRI, the differences of regional brain activity were measured in resting state in depressed vs. healthy participants. Sixteen participants firstly diagnosed with major depressive disorder and 16 controls were scanned during resting state. A novel method based on ReHo was used to detect spontaneous hemodynamic responses across the whole brain.Results ReHo in the left thalamus, left temporal lobe, left cerebellar posterior lobe, and the bilateral occipital lobe was found to be significantly decreased in depression compared to healthy controls in resting state of depression.Conclusions Abnormal spontaneous activity exists in the left thalamus, left temporal lobe, left cerebellar posterior lobe,and the bilateral occipital lobe. And the ReHo may be a potential reference in understanding the distinct brain activity in resting state of depression.展开更多
BACKGROUND Sepsis is a life-threatening condition defined by organ dysfunction,triggered by a dysregulated host response to infection.there is limited published literature combining cognitive impairment with topologic...BACKGROUND Sepsis is a life-threatening condition defined by organ dysfunction,triggered by a dysregulated host response to infection.there is limited published literature combining cognitive impairment with topological property alterations in brain networks in sepsis survivors.Therefore,we employed graph theory and Granger causality analysis(GCA)methods to analyze resting-state functional magnetic resonance imaging(rs-fMRI)data,aiming to explore the topological alterations in the brain networks of intensive care unit(ICU)sepsis survivors.Using correlation analysis,the interplay between topological property alterations and cognitive impairment was also investigated.AIM To explore the topological alterations of the brain networks of sepsis survivors and their correlation with cognitive impairment.METHODS Sixteen sepsis survivors and nineteen healthy controls from the community were recruited.Within one month after discharge,neurocognitive tests were administered to assess cognitive performance.Rs-fMRI was acquired and the topological properties of brain networks were measured based on graph theory approaches.GCA was conducted to quantify effective connectivity(EC)between brain regions showing positive topological alterations and other regions in the brain.The correlations between topological properties and cognitive were analyzed.RESULTS Sepsis survivors exhibited significant cognitive impairment.At the global level,sepsis survivors showed lower normalized clustering coefficient(γ)and small-worldness(σ)than healthy controls.At the local level,degree centrality(DC)and nodal efficiency(NE)decreased in the right orbital part of inferior frontal gyrus(ORBinf.R),NE decreased in the left temporal pole of superior temporal gyrus(TPOsup.L)whereas DC and NE increased in the right cerebellum Crus 2(CRBLCrus2.R).Regarding directional connection alterations,EC from left cerebellum 6(CRBL6.L)to ORBinf.R and EC from TPOsup.L to right cerebellum 1(CRBLCrus1.R)decreased,whereas EC from right lingual gyrus(LING.R)to TPOsup.L increased.The implementation of correlation analysis revealed a negative correlation between DC in CRBLCrus2.R and both Mini-mental state examination(r=-0.572,P=0.041)and Montreal cognitive assessment(MoCA)scores(r=-0.629,P=0.021)at the local level.In the CRBLCrus2.R cohort,a negative correlation was identified between NE and MoCA scores,with a statistically significant result of r=-0.633 and P=0.020.CONCLUSION Frontal,temporal and cerebellar topological property alterations are possibly associated with cognitive impairment of ICU sepsis survivors and may serve as biomarkers for early diagnosis.展开更多
Background：Neuroimaging studies have found that functional changes exist in patients with Parkinson＇s disease （PD）.However,the majority of functional magnetic resonance imaging （fMRI） studies in patients with PD...Background：Neuroimaging studies have found that functional changes exist in patients with Parkinson＇s disease （PD）.However,the majority of functional magnetic resonance imaging （fMRI） studies in patients with PD are task-related and cross-sectional.This study investigated the functional changes observed in patients with PD,at both baseline and after 2 years,using resting-state fMRI.It further investigated the relationship between whole-brain spontaneous neural activity of patients with PD and their clinical characteristics.Methods：Seventeen patients with PD underwent an MRI procedure at both baseline and after 2 years using resting-state fMRI that was derived from the same 3T MRI.In addition,20 age-and sex-matched,healthy controls were examined using resting-state fMRI.The fractional amplitude of low-frequency fluctuation （fALFF） approach was used to analyze the fMRI data.Nonlinear registration was used to model within-subject changes over the scanning interval,as well as changes between the patients with PD and the healthy controls.A correlative analysis between the fALFF values and clinical characteristics was performed in the regions showing fALFF differences.Results：Compared to the control subjects,the patients with PD showed increased fALFF values in the left inferior temporal gyrus,right inferior parietal lobule （IPL） and right middle frontal gyrus.Compared to the baseline in the 2 years follow-up,the patients with PD presented with increased fALFF values in the right middle temporal gyrus and right middle occipital gyrus while also having decreased fALFF values in the right cerebellum,right thalamus,right striatum,left superior parietal lobule,left IPL,left precentral gyrus,and left postcentral gyrus （P 〈 0.01,after correction with AlphaSim）.In addition,the fALFF values in the right cerebellum were positively correlated with the Unified PD Rating Scale （UPDRS） motor scores （r =0.5 l,P 〈 0.05,uncorrected） and the change in the UPDRS motor score （r =0.61,P 〈 0.05,uncorrected）.Conclusions：The baseline and longitudinal changes of the fALFF values in our study suggest that dysfunction in the brain may affect the regions related to cortico-striato-pallido-thalamic loops and cerebello-thalamo-cortical loops as the disease progresses and that alterations to the spontaneous neural activity of the cerebellum may also play an important role in the disease＇s progression in patients with PD.展开更多
Background The mechanism of acupuncture analgesia in craniotomy has been widely studied. However, the theoretical basis for selection of acupoints has not been examined. In this study, we used the regional homogeneit...Background The mechanism of acupuncture analgesia in craniotomy has been widely studied. However, the theoretical basis for selection of acupoints has not been examined. In this study, we used the regional homogeneity method blood oxygen level-dependent （BOLD） signals to determine changes in brain activity in response to transcutaneous electrical stimulation on acupoints and non-acupoints in resting state functional magnetic resonance imaging （fMRI）.Methods Twelve healthy volunteers were enrolled in this study. BOLD fMRI scanning of the brain was performed for 306 seconds before and 30 minutes after transcutaneous electrical stimulation on acupoints UB63 （Jinmen）, LV3 （Tai chong）, ST36 （Zusanli）, and GB40 （Qiuxu）. The procedure was repeated after one week with stimulation on non-acupoints （one was 9 above BL67, the second was 12 above BL67 （Kunlun）, the third was 7 above KI3, and the fourth was 10 above KI3 （Taixi））.Results The regional homogeneity in the acupoint group was increased in the left thalamus, caudate, putamen, lentiform nucleus （BA19, 30, 39）, postcentral gyrus, precentral gyrus （BA3, 4, 30, 32）, calcarine fissure, middle temporal gyrus （BA30）, right superior temporal gyrus, inferior temporal gyrus （BA38）, cuneus, and precuneus （BA7, 19） when compared to the non-acupoint group. The regional homogeneity of the acupoint group was decreased in the left cerebellum posterior lobe, middle frontal gyrus （BA10）, double-side precuneus （BA7）, and the postcentral gyrus （BA40）.Conclusions The brain region activated following acupoint stimulation is the ipsilateral pain-related brain region, which may relate to the therapeutic effect of acupuncture on pain relief. Further acupoint stimulation causes different central nervous responses compared to non-acupoint stimulation.展开更多
Background:Dysconnectivity hypothesis of schizophrenia has been increasingly emphasized.Recent researches showed that this dysconnectivity might be related to occurrence of auditory hallucination(AH).However,there is ...Background:Dysconnectivity hypothesis of schizophrenia has been increasingly emphasized.Recent researches showed that this dysconnectivity might be related to occurrence of auditory hallucination(AH).However,there is still no consistent conclusion.This study aimed to explore intrinsic dysconnectivity pattern of whole-brain functional networks at voxel level in schizophrenic with AH.Methods:Auditory hallucinated patients group(n=42 APG),no hallucinated patients group(n=42 NPG)and normal controls(n=84 NCs)were analyzed by resting-state functional magnetic resonance imaging.The functional connectivity metrics index(degree centrality[DC])across the entire brain networks was calculated and evaluated among three groups.Results:DC decreased in the bilateral putamen and increased in the left superior frontal gyrus in all the patients.However,in APG.the changes of DC were more obvious compared with NPG.Symptomology scores were negatively correlated with the DC of bilateral putamen in all patients.AH score of APG positively correlated with the DC in left superior frontal gyrus but negatively correlated with the DC in bilateral putamen.Conclusion:Our findings corroborated that schizophrenia was characterized by functional dysconnectivity,and the abnormal DC in bilateral putamen and left superior frontal gyrus might be crucial in the occurrence of AH.展开更多
基金supported by the National Natural Science Foundation of China,No.82071909(to GF)the Natural Science Foundation of Liaoning Province,No.2023-MS-07(to HL)。
文摘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.
基金Supported by Wuxi Municipal Health Commission Major Project,No.202107and Wuxi Taihu Talent Project,No.WXTTP 2021.
文摘BACKGROUND Very late-onset schizophrenia-like psychosis(VLOSLP)is a subtype of schizophrenia spectrum disorders in which individuals experience psychotic symptoms for the first time after the age of 60.The incidence of VLOSLP shows a linear relationship with increasing age.However,no studies have reported alterations in spontaneous brain activity among VLOSLP patients and their correlation with cognitive function and clinical symptoms.AIM To explore VLOSLP brain activity and correlations with cognitive function and clinical symptoms using resting-state functional magnetic resonance imaging.METHODS This study included 33 VLOSLP patients and 34 healthy controls.The cognitive assessment utilized the Mini Mental State Examination,Montreal Cognitive Assessment,and the Repeatable Battery for the Assessment of Neuropsychological Status(RBANS).Clinical characteristic acquisition was performed via the Positive and Negative Syndrome Scale(PANSS).All participants were scanned via resting-state functional magnetic resonance imaging,and the data were processed using amplitude of low-frequency fluctuations(ALFF),fractional ALFF(fALFF),regional homogeneity,and voxelmirrored homotopic connectivity(VMHC).RESULTS The VLOSLP group presented decreased ALFF values in the left cuneus,right precuneus,right precentral gyrus,and left paracentral lobule;increased fALFF values in the left caudate nucleus;decreased fALFF values in the right calcarine fissure and surrounding cortex(CAL)and right precuneus;increased regional homogeneity values in the right putamen;and decreased VMHC values in the bilateral CAL,bilateral superior temporal gyrus,and bilateral cuneus.In the VLOSLP group,ALFF values in the right precuneus were negatively correlated with Mini Mental State Examination score and PANSS positive subscale score,and VMHC values in the bilateral CAL were negatively correlated with the RBANS total score,RBANS delayed memory score,and PANSS positive subscale score.CONCLUSION The changes of brain activity in VLOSLP are concentrated in the right precuneus and bilateral CAL regions,which may be associated with cognitive impairment and clinically positive symptoms.
基金Supported by the Medical Research Project of the Chongqing Municipal Health Commission,No.2024WSJK110.
文摘BACKGROUND Currently,adolescent depression is one of the most significant public health concerns,markedly influencing emotional,cognitive,and social maturation.Despite advancements in distinguish the neurobiological substrates underlying depression,the intricate patterns of disrupted brain network connectivity in adolescents warrant further exploration.AIM To elucidate the neural correlates of adolescent depression by examining brain network connectivity using resting-state functional magnetic resonance imaging(rs-fMRI).METHODS The study cohort comprised 74 depressed adolescents and 59 healthy controls aged 12 to 17 years.Participants underwent rs-fMRI to evaluate functional connectivity within and across critical brain networks,including the visual,default mode network(DMN),dorsal attention,salience,somatomotor,and frontoparietal control networks.RESULTS Analyses revealed pronounced functional disparities within key neural circuits among adolescents with depression.The results demonstrated existence of hemispheric asymmetries characterized by enhanced activity in the left visual network,which contrasted the diminished activity in the right hemisphere.The DMN facilitated increased activity within the left prefrontal cortex and reduced engagement in the right hemisphere,implicating disrupted self-referential and emotional processing mechanisms.Additionally,an overactive right dorsal attention network and a hypoactive salience network were identified,underscoring significant abnormalities in attentional and emotional regulation in adolescent depression.CONCLUSION The findings from this study underscore distinct neural connectivity disruptions in adolescent depression,underscoring the critical role of specific neurobiological markers for precise early diagnosis of adolescent depression.The observed functional asymmetries and network-specific deviations elucidate the complex neurobiological architecture of adolescent depression,supporting the development of targeted therapeutic strategies.
文摘BACKGROUND Research has found that the amygdala plays a significant role in underlying pathology of major depressive disorder(MDD).However,few studies have explored machine learning-assisted diagnostic biomarkers based on amygdala functional connectivity(FC).AIM To investigate the analysis of neuroimaging biomarkers as a streamlined approach for the diagnosis of MDD in adolescents.METHODS Forty-four adolescents diagnosed with MDD and 43 healthy controls were enrolled in the study.Using resting-state functional magnetic resonance imaging,the FC was compared between the adolescents with MDD and the healthy controls,with the bilateral amygdala serving as the seed point,followed by statistical analysis of the results.The support vector machine(SVM)method was then applied to classify functional connections in various brain regions and to evaluate the neurophysiological characteristics associated with MDD.RESULTS Compared to the controls and using the bilateral amygdala as the region of interest,patients with MDD showed significantly lower FC values in the left inferior temporal gyrus,bilateral calcarine,right lingual gyrus,and left superior occipital gyrus.However,there was an increase in the FC value in Vermis-10.The SVM analysis revealed that the reduction in the FC value in the right lingual gyrus could effectively differentiate patients with MDD from healthy controls,achieving a diagnostic accuracy of 83.91%,sensitivity of 79.55%,specificity of 88.37%,and an area under the curve of 67.65%.CONCLUSION The results showed that an abnormal FC value in the right lingual gyrus was effective as a neuroimaging biomarker to distinguish patients with MDD from healthy controls.
基金Supported by The 2024 Guizhou Provincial Health Commission Science and Technology Fund Project,No.gzwkj2024-47502022 Provincial Clinical Key Specialty Construction Project。
文摘BACKGROUND Adolescent major depressive disorder(MDD)is a significant mental health concern that often leads to recurrent depression in adulthood.Resting-state functional magnetic resonance imaging(rs-fMRI)offers unique insights into the neural mechanisms underlying this condition.However,despite previous research,the specific vulnerable brain regions affected in adolescent MDD patients have not been fully elucidated.AIM To identify consistent vulnerable brain regions in adolescent MDD patients using rs-fMRI and activation likelihood estimation(ALE)meta-analysis.METHODS We performed a comprehensive literature search through July 12,2023,for studies investigating brain functional changes in adolescent MDD patients.We utilized regional homogeneity(ReHo),amplitude of low-frequency fluctuations(ALFF)and fractional ALFF(fALFF)analyses.We compared the regions of aberrant spontaneous neural activity in adolescents with MDD vs healthy controls(HCs)using ALE.RESULTS Ten studies(369 adolescent MDD patients and 313 HCs)were included.Combining the ReHo and ALFF/fALFF data,the results revealed that the activity in the right cuneus and left precuneus was lower in the adolescent MDD patients than in the HCs(voxel size:648 mm3,P<0.05),and no brain region exhibited increased activity.Based on the ALFF data,we found decreased activity in the right cuneus and left precuneus in adolescent MDD patients(voxel size:736 mm3,P<0.05),with no regions exhibiting increased activity.CONCLUSION Through ALE meta-analysis,we consistently identified the right cuneus and left precuneus as vulnerable brain regions in adolescent MDD patients,increasing our understanding of the neuropathology of affected adolescents.
基金supported by the National Natural Science Foundation of China (30830046,30625024, 81171286)the National Science and Technology Program of China (2007BAI17B02)+2 种基金the National Basic Research Development Program (973 Program) of China(2009CB918303)the Science and Technology Program of the Ministry of Education, China (20090162110011)the National High-Tech Research and Development Program of China (863 program:2008AA02Z408)
文摘Objective Little is known about the brain systems that contribute to vulnerability to post-traumatic stress disorder （PTSD）. Comparison of the resting-state patterns of intrinsic functional synchronization, as measured by functional magnetic resonance imaging （fMRI）, between groups with and without PTSD following a traumatic event can help identify the neural mechanisms of the disorder and targets for intervention. Methods Fifty-four PTSD patients and 72 matched traumatized subjects who experienced the 2008 Sichuan earthquake were imaged with blood oxygen level-dependent （BOLD） fMRI and analyzed using the measure of regional homogeneity （ReHo） during the resting state. Results PTSD patients presented enhanced ReHo in the left inferior parietal lobule and right superior frontal gyrus, and reduced ReHo in the right middle temporal gyrus and lingual gyrus, relative to traumatized individuals without PTSD. Conclusion Our findings showed that abnormal brain activity exists under resting conditions in PTSD patients who had been exposed to a major earthquake. Alterations in the local functional connectivity of cortical regions are likely to contribute to the neural mechanisms underlying PTSD.
基金supported by the National Natural Science Foundation of China,No.61401308,61572063(both to XHW)the Natural Science Foundation of Beijing of China,No.L172055(to XHW)+3 种基金the Beijing Municipal Science&Technology Commission Research Fund of China,No.Z171100000417004(to XHW)the China Postdoctoral Fund,No.2018M631755(to XHW)the Special Fund for Improving Comprehensive Strength of Hebei University in the Midwest of China,No.801260201011(to XHW)the High-Level Talent Funding Project—Selective Post-doctoral Research Project Fund of Hebei Province of China,No.B2018003002(to XHW)
文摘The main symptom of patients with Alzheimer’s disease is cognitive dysfunction. Alzheimer’s disease is mainly diagnosed based on changes in brain structure. Functional connectivity reflects the synchrony of functional activities between non-adjacent brain regions, and changes in functional connectivity appear earlier than those in brain structure. In this study, we detected resting-state functional connectivity changes in patients with Alzheimer’s disease to provide reference evidence for disease prediction. Functional magnetic resonance imaging data from patients with Alzheimer’s disease were used to show whether particular white and gray matter areas had certain functional connectivity patterns and if these patterns changed with disease severity. In nine white and corresponding gray matter regions, correlations of normal cognition, early mild cognitive impairment, and late mild cognitive impairment with blood oxygen level-dependent signal time series were detected. Average correlation coefficient analysis indicated functional connectivity patterns between white and gray matter in the resting state of patients with Alzheimer’s disease. Functional connectivity pattern variation correlated with disease severity, with some regions having relatively strong or weak correlations. We found that the correlation coefficients of five regions were 0.3–0.5 in patients with normal cognition and 0–0.2 in those developing Alzheimer’s disease. Moreover, in the other four regions, the range increased to 0.45–0.7 with increasing cognitive impairment. In some white and gray matter areas, there were specific connectivity patterns. Changes in regional white and gray matter connectivity patterns may be used to predict Alzheimer’s disease;however, detailed information on specific connectivity patterns is needed. All study data were obtained from the Alzheimer’s Disease Neuroimaging Initiative Library of the Image and Data Archive Database.
文摘Research on brain function after brachial plexus injury focuses on local cortical functional reorganization,and few studies have focused on brain networks after brachial plexus injury.Changes in brain networks may help understanding of brain plasticity at the global level.We hypothesized that topology of the global cerebral resting-state functional network changes after unilateral brachial plexus injury.Thus,in this cross-sectional study,we recruited eight male patients with unilateral brachial plexus injury（right handedness,mean age of 27.9±5.4years old）and eight male healthy controls（right handedness,mean age of 28.6±3.2）.After acquiring and preprocessing resting-state magnetic resonance imaging data,the cerebrum was divided into 90 regions and Pearson’s correlation coefficient calculated between regions.These correlation matrices were then converted into a binary matrix with affixed sparsity values of 0.1–0.46.Under sparsity conditions,both groups satisfied this small-world property.The clustering coefficient was markedly lower,while average shortest path remarkably higher in patients compared with healthy controls.These findings confirm that cerebral functional networks in patients still show smallworld characteristics,which are highly effective in information transmission in the brain,as well as normal controls.Alternatively,varied small-worldness suggests that capacity of information transmission and integration in different brain regions in brachial plexus injury patients is damaged.
基金supported by Key Emergency Project of Pneumonia Epidemic of Novel Coronavirus Infection of China,No.2020SK3006(to JL)Clinical Research Center for Medical Imaging in Hunan Province of China,No.2020SK4001(to JL)the Innovative Major Emergency Project Funding against the New Coronavirus Pneumonia in Hunan Province of China,No.2020SK3014(to JYL)。
文摘Although some short-term follow-up studies have found that individuals recovering from coronavirus disease 2019(COVID-19)exhibit anxiety,depression,and altered brain microstructure,their long-term physical problems,neuropsychiatric sequelae,and changes in brain function remain unknown.This observational cohort study collected 1-year follow-up data from 22 patients who had been hospitalized with COVID-19(8 males and 11 females,aged 54.2±8.7 years).Fatigue and myalgia were persistent symptoms at the 1-year follow-up.The resting state functional magnetic resonance imaging revealed that compared with 29 healthy controls(7 males and 18 females,aged 50.5±11.6 years),COVID-19 survivors had greatly increased amplitude of low-frequency fluctuation(ALFF)values in the left precentral gyrus,middle frontal gyrus,inferior frontal gyrus of operculum,inferior frontal gyrus of triangle,insula,hippocampus,parahippocampal gyrus,fusiform gyrus,postcentral gyrus,inferior parietal angular gyrus,supramarginal gyrus,angular gyrus,thalamus,middle temporal gyrus,inferior temporal gyrus,caudate,and putamen.ALFF values in the left caudate of the COVID-19 survivors were positively correlated with their Athens Insomnia Scale scores,and those in the left precentral gyrus were positively correlated with neutrophil count during hospitalization.The long-term follow-up results suggest that the ALFF in brain regions related to mood and sleep regulation were altered in COVID-19 survivors.This can help us understand the neurobiological mechanisms of COVID-19-related neuropsychiatric sequelae.This study was approved by the Ethics Committee of the Second Xiangya Hospital of Central South University(approval No.2020 S004)on March 19,2020.
基金National Natural Science Foundation of China,No.81660158 and No.81400372Natural Science Research Foundation of Jiangxi Province,No.20161ACB21017Medical Science Foundation of Jiangxi Province,No.20181BBG70004 and No.20164017.
文摘BACKGROUND Diabetes is a common chronic disease.Given the increasing incidence of diabetes,more individuals are affected by diabetic optic neuropathy(DON),which results in decreased vision.Whether DON leads to abnormalities of other visual systems,including the eye,the visual cortex,and other brain regions,remains unknown.AIM To investigate the local characteristics of spontaneous brain activity using regional homogeneity(ReHo)in patients with DON.METHODS We matched 22 patients with DON with 22 healthy controls(HCs).All subjects underwent resting-state functional magnetic resonance imaging.The ReHo technique was used to record spontaneous changes in brain activity.Receiver operating characteristic(ROC)curves were applied to differentiate between ReHo values for patients with DON and HCs.We also assessed the correlation between Hospital Anxiety and Depression Scale scores and ReHo values in DON patients using Pearson correlation analysis.RESULTS ReHo values of the right middle frontal gyrus(RMFG),left anterior cingulate(LAC),and superior frontal gyrus(SFG)/left frontal superior orbital gyrus(LFSO)were significantly lower in DON patients compared to HCs.Among these,the greatest difference was observed in the RMFG.The result of the ROC curves suggest that ReHo values in altered brain regions may help diagnose DON,and the RMFG and LAC ReHo values are more clinically relevant than SFG/LFSO.We also found that anxiety and depression scores of the DON group were extremely negatively correlated with the LAC ReHo values(r=-0.9336,P<0.0001 and r=-0.8453,P<0.0001,respectively).CONCLUSION Three different brain regions show ReHo changes in DON patients,and these changes could serve as diagnostic and/or prognostic biomarkers to further guide the prevention and treatment of DON patients.
基金Supported by the Wuxi Municipal Health Commission Major Project,No.Z202107。
文摘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.
基金grants from the Natural Science Foundation of China，the Shanghai High Technology Research Program
文摘Background Previous studies have shown that brain functional activity in the resting state is impaired in Alzheimer＇s disease （AD） patients. However, alterations in intrinsic brain activity patterns in mild cognitive impairment （MCI） patients are poorly understood. This study aimed to explore the differences in regional intrinsic activities throughout the whole brain between aMCI patients and controls. Methods In the present study, resting-state functional magnetic resonance imaging （fMRI） was performed on 18 amnestic MCI （aMCI） patients, 18 mild AD patients and 20 healthy elderly subjects. And amplitude of low-frequency fluctuation （ALFF） method was used. Results Compared with healthy elderly subjects, aMCI patients showed decreased ALFF in the right hippocampus and parahippocampal cortex, left lateral temporal cortex, and right ventral medial prefrontal cortex （vMPFC） and increased ALFF in the left temporal-parietal junction （TPJ） and inferior parietal Iobule （IPL）. Mild AD patients showed decreased ALFF in the left TPJ, posterior IPL （plPL）, and dorsolateral prefrontal cortex compared with aMCI patients. Mild AD patients also had decreased ALFF in the right posterior cingulate cortex, right vMPFC and bilateral dorsal MPFC （dMPFC） compared with healthy elderly subjects. Conclusions Decreased intrinsic activities in brain regions closely related to episodic memory were found in aMCI and AD patients. Increased TPJ and IPL activity may indicate compensatory mechanisms for loss of memory function in aMCI patients. These findings suggest that the fMRI based on ALFF analysis may provide a useful tool in the study of aMCI patients.
文摘Objective To explore the influence of a polymorphism of protein tyrosine phosphatase receptor type R(PTPRR)gene rs1513105 on abnormal brain activities in resting-state patients with major depressive disorder(MDD)using the gene-imaging technology.Methods 54MDD and 43 gender-,age-,and education-matched con-
基金Supported by Key Project of Jiangxi Provincial Youth Science Foundation:to Explore the Analgesic Mechanism of Brain Functional Network Regulation of moxibustion on Heat-sensitive Acupoints Based on rfMRI and MRS(No.20192ACB21007)Jiangxi Province Introduces and Cultivates Innovative and Entrepreneurial High-level Talent Projects:Brain Functional Network Regulation and Neurobiochemical Mechanism of Heat-sensitive Moxibustion Analgesia(No.jxsq2019201104)。
文摘We want to explore the analgesic brain effect of the moxibustion at heat-sensitized Yaoyangguan(GV3)in patients with lumbar disc herniation(LDH)and myofascial pain syndrome(MPS).In an assessor-blinded observational study,we will include 15 LDH and 15 MPS.They will accept same treatment of heat-sensitive moxibustion at Yaoyangguan(GV3).The resting-state functionality magnetic resonance imaging image data of brain activities before and after treatment will be analyzed by mean fractional amplitude of low-frequency fluctuation,regional homogeneity analysis and brain functional connection.We select seed of first sensory cortex,second sensory cortex,insula cortex,periaqueductal gray and anterior cingulate cortex as the regions of interest to analyse the relationship between brain functional connectivity of pain-related networks and clinical data.Our study could disclose key brain targets and central response characteristics of the analgesic brain effect and the brain functional connection of heat-sensitive moxibustion.
基金supported by Department of Science and Technology, Zhejiang Province (2015C03037)the National Natural Science Foundation of China (81520108016, 81661148045, 61671198, 81671774, 81701776, 81471653)
文摘Resting-state functional magnetic resonance imaging (RS-fMRI)[1,2] provides relatively high spatial and temporal resolution for mapping spontaneous brain activity non-invasively. It has been widely used in cognitive neuroscience and clinical studies. A number of comprehensive software packages have been developed for RS-fMRI data analysis, among which a MATLAB package named REST (RESing-state fMRI data analysis Toolkit, released in October 2008 at http://www.restfmri.net)[3] is the earliest one dedicated to RS-fMRI analysis. REST focuses on RS-fMRI postprocessing metrics.
文摘Backgroud Functional imaging studies indicate abnormal activities in cortico-limbic network in depression during either task or resting state. The present work was to explore the abnormal spontaneous activity shown with regional homogeneity （ReHo） in depression by resting-state functional magnetic resonance imaging （fMRI）.Methods Using fMRI, the differences of regional brain activity were measured in resting state in depressed vs. healthy participants. Sixteen participants firstly diagnosed with major depressive disorder and 16 controls were scanned during resting state. A novel method based on ReHo was used to detect spontaneous hemodynamic responses across the whole brain.Results ReHo in the left thalamus, left temporal lobe, left cerebellar posterior lobe, and the bilateral occipital lobe was found to be significantly decreased in depression compared to healthy controls in resting state of depression.Conclusions Abnormal spontaneous activity exists in the left thalamus, left temporal lobe, left cerebellar posterior lobe,and the bilateral occipital lobe. And the ReHo may be a potential reference in understanding the distinct brain activity in resting state of depression.
基金Supported by National Natural Science Foundation of China,No.82372182,No.82172131,and No.U23A20421Training Project of the Leading Expert Team:"Jiyang Medical Elites",No.RC2023-004.
文摘BACKGROUND Sepsis is a life-threatening condition defined by organ dysfunction,triggered by a dysregulated host response to infection.there is limited published literature combining cognitive impairment with topological property alterations in brain networks in sepsis survivors.Therefore,we employed graph theory and Granger causality analysis(GCA)methods to analyze resting-state functional magnetic resonance imaging(rs-fMRI)data,aiming to explore the topological alterations in the brain networks of intensive care unit(ICU)sepsis survivors.Using correlation analysis,the interplay between topological property alterations and cognitive impairment was also investigated.AIM To explore the topological alterations of the brain networks of sepsis survivors and their correlation with cognitive impairment.METHODS Sixteen sepsis survivors and nineteen healthy controls from the community were recruited.Within one month after discharge,neurocognitive tests were administered to assess cognitive performance.Rs-fMRI was acquired and the topological properties of brain networks were measured based on graph theory approaches.GCA was conducted to quantify effective connectivity(EC)between brain regions showing positive topological alterations and other regions in the brain.The correlations between topological properties and cognitive were analyzed.RESULTS Sepsis survivors exhibited significant cognitive impairment.At the global level,sepsis survivors showed lower normalized clustering coefficient(γ)and small-worldness(σ)than healthy controls.At the local level,degree centrality(DC)and nodal efficiency(NE)decreased in the right orbital part of inferior frontal gyrus(ORBinf.R),NE decreased in the left temporal pole of superior temporal gyrus(TPOsup.L)whereas DC and NE increased in the right cerebellum Crus 2(CRBLCrus2.R).Regarding directional connection alterations,EC from left cerebellum 6(CRBL6.L)to ORBinf.R and EC from TPOsup.L to right cerebellum 1(CRBLCrus1.R)decreased,whereas EC from right lingual gyrus(LING.R)to TPOsup.L increased.The implementation of correlation analysis revealed a negative correlation between DC in CRBLCrus2.R and both Mini-mental state examination(r=-0.572,P=0.041)and Montreal cognitive assessment(MoCA)scores(r=-0.629,P=0.021)at the local level.In the CRBLCrus2.R cohort,a negative correlation was identified between NE and MoCA scores,with a statistically significant result of r=-0.633 and P=0.020.CONCLUSION Frontal,temporal and cerebellar topological property alterations are possibly associated with cognitive impairment of ICU sepsis survivors and may serve as biomarkers for early diagnosis.
文摘Background：Neuroimaging studies have found that functional changes exist in patients with Parkinson＇s disease （PD）.However,the majority of functional magnetic resonance imaging （fMRI） studies in patients with PD are task-related and cross-sectional.This study investigated the functional changes observed in patients with PD,at both baseline and after 2 years,using resting-state fMRI.It further investigated the relationship between whole-brain spontaneous neural activity of patients with PD and their clinical characteristics.Methods：Seventeen patients with PD underwent an MRI procedure at both baseline and after 2 years using resting-state fMRI that was derived from the same 3T MRI.In addition,20 age-and sex-matched,healthy controls were examined using resting-state fMRI.The fractional amplitude of low-frequency fluctuation （fALFF） approach was used to analyze the fMRI data.Nonlinear registration was used to model within-subject changes over the scanning interval,as well as changes between the patients with PD and the healthy controls.A correlative analysis between the fALFF values and clinical characteristics was performed in the regions showing fALFF differences.Results：Compared to the control subjects,the patients with PD showed increased fALFF values in the left inferior temporal gyrus,right inferior parietal lobule （IPL） and right middle frontal gyrus.Compared to the baseline in the 2 years follow-up,the patients with PD presented with increased fALFF values in the right middle temporal gyrus and right middle occipital gyrus while also having decreased fALFF values in the right cerebellum,right thalamus,right striatum,left superior parietal lobule,left IPL,left precentral gyrus,and left postcentral gyrus （P 〈 0.01,after correction with AlphaSim）.In addition,the fALFF values in the right cerebellum were positively correlated with the Unified PD Rating Scale （UPDRS） motor scores （r =0.5 l,P 〈 0.05,uncorrected） and the change in the UPDRS motor score （r =0.61,P 〈 0.05,uncorrected）.Conclusions：The baseline and longitudinal changes of the fALFF values in our study suggest that dysfunction in the brain may affect the regions related to cortico-striato-pallido-thalamic loops and cerebello-thalamo-cortical loops as the disease progresses and that alterations to the spontaneous neural activity of the cerebellum may also play an important role in the disease＇s progression in patients with PD.
基金This work was supported by the grants from the National Key Basic Research and Development Program ＂973＂ Project （No. 2007CB512503）, and the China Postdoctoral Science Foundation （No. 20070420403）.Acknowledgements： The authors are highly grateful to Professor ZANG Yu-feng （State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University） for software support.
文摘Background The mechanism of acupuncture analgesia in craniotomy has been widely studied. However, the theoretical basis for selection of acupoints has not been examined. In this study, we used the regional homogeneity method blood oxygen level-dependent （BOLD） signals to determine changes in brain activity in response to transcutaneous electrical stimulation on acupoints and non-acupoints in resting state functional magnetic resonance imaging （fMRI）.Methods Twelve healthy volunteers were enrolled in this study. BOLD fMRI scanning of the brain was performed for 306 seconds before and 30 minutes after transcutaneous electrical stimulation on acupoints UB63 （Jinmen）, LV3 （Tai chong）, ST36 （Zusanli）, and GB40 （Qiuxu）. The procedure was repeated after one week with stimulation on non-acupoints （one was 9 above BL67, the second was 12 above BL67 （Kunlun）, the third was 7 above KI3, and the fourth was 10 above KI3 （Taixi））.Results The regional homogeneity in the acupoint group was increased in the left thalamus, caudate, putamen, lentiform nucleus （BA19, 30, 39）, postcentral gyrus, precentral gyrus （BA3, 4, 30, 32）, calcarine fissure, middle temporal gyrus （BA30）, right superior temporal gyrus, inferior temporal gyrus （BA38）, cuneus, and precuneus （BA7, 19） when compared to the non-acupoint group. The regional homogeneity of the acupoint group was decreased in the left cerebellum posterior lobe, middle frontal gyrus （BA10）, double-side precuneus （BA7）, and the postcentral gyrus （BA40）.Conclusions The brain region activated following acupoint stimulation is the ipsilateral pain-related brain region, which may relate to the therapeutic effect of acupuncture on pain relief. Further acupoint stimulation causes different central nervous responses compared to non-acupoint stimulation.
基金Financial support and sponsorship This research was supported by grants from the National 973 Program of China(No.2011CB707805)the National Natural Science Foundation of China(No.91132301)the Natural Science Foundation of Hubei Province(No.2014CFB732).
文摘Background:Dysconnectivity hypothesis of schizophrenia has been increasingly emphasized.Recent researches showed that this dysconnectivity might be related to occurrence of auditory hallucination(AH).However,there is still no consistent conclusion.This study aimed to explore intrinsic dysconnectivity pattern of whole-brain functional networks at voxel level in schizophrenic with AH.Methods:Auditory hallucinated patients group(n=42 APG),no hallucinated patients group(n=42 NPG)and normal controls(n=84 NCs)were analyzed by resting-state functional magnetic resonance imaging.The functional connectivity metrics index(degree centrality[DC])across the entire brain networks was calculated and evaluated among three groups.Results:DC decreased in the bilateral putamen and increased in the left superior frontal gyrus in all the patients.However,in APG.the changes of DC were more obvious compared with NPG.Symptomology scores were negatively correlated with the DC of bilateral putamen in all patients.AH score of APG positively correlated with the DC in left superior frontal gyrus but negatively correlated with the DC in bilateral putamen.Conclusion:Our findings corroborated that schizophrenia was characterized by functional dysconnectivity,and the abnormal DC in bilateral putamen and left superior frontal gyrus might be crucial in the occurrence of AH.
