BACKGROUND Group cognitive behavioral therapy(GCBT)is increasingly being used to treat obsessive-compulsive disorder(OCD)because of its high efficiency,economy,and interaction among group members.However,the changes i...BACKGROUND Group cognitive behavioral therapy(GCBT)is increasingly being used to treat obsessive-compulsive disorder(OCD)because of its high efficiency,economy,and interaction among group members.However,the changes in network functional connectivity(FC)in patients with OCD with GCBT remain unclear.AIM To investigate inter-and intra-network resting-state FC(rs-FC)abnormalities before and after GCBT in unmedicated patients with OCD and validate the efficacy of GCBT.METHODS Overall,33 individuals with OCD and 26 healthy controls underwent resting-state functional magnetic resonance imaging.The patients were rescanned 12 weeks after GCBT.Four cognition-related networks-default mode network(DMN),dorsal attention network(DAN),salience network(SAN),and frontoparietal network(FPN)-were selected to examine FC abnormalities within and between OCD networks before and after GCBT.Neuropsychological assessments including memory,executive function,speech,attention,and visuospatial ability were reassessed following GCBT.Pearson’s correlations were used to analyze the relationship between aberrant FC in cognition-related networks and altered neuropsychological assessments in patients.RESULTS Rs-FC within the DMN and DAN decreased significantly.Additionally,rs-FC between the DMN-DAN,DMNFPN,DMN-SAN,and DAN-SAN also decreased.Significant improvements were observed in cognitive functions,such as memory,executive function,attention,and visuospatial ability.Furthermore,reduced rs-FC within the DMN correlated with visuospatial ability and executive function;DAN positively correlated with Shape Trails Test(STT)-A test elapsed time;DMN-DAN negatively correlated with Rey-Osterrieth Complex Figure(Rey-O)mimicry time and the three elapsed times of the tower of Hanoi;DMN-SAN negatively correlated with Rey-O imitation time and positively correlated with STT-A test elapsed time;and DMN-FPN negatively correlated with Auditory Word Learning Test N1 and N4 scores.CONCLUSION Decreased rs-FC within the DMN and DAN,which correlated with executive function post-treatment,has potential as a neuroimaging marker to predict treatment response to GCBT in patients with OCD.展开更多
Background:Deep brain stimulation(DBS)of the nucleus basalis of Meynert(NBM)has shown potential for the treatment of mild-to-moderate Alzheimer’s disease(AD).However,there is little evidence of whether NBM-DBS can im...Background:Deep brain stimulation(DBS)of the nucleus basalis of Meynert(NBM)has shown potential for the treatment of mild-to-moderate Alzheimer’s disease(AD).However,there is little evidence of whether NBM-DBS can improve cognitive functioning in patients with advanced AD.In addition,the mechanisms underlying the modulation of brain networks remain unclear.This study was aimed to assess the cognitive function and the resting-state connectivity following NBM-DBS in patients with advanced AD.Methods:Eight patients with advanced AD underwent bilateral NBM-DBS and were followed up for 12 months.Clinical outcomes were assessed by neuropsychological examinations using the Mini-Mental State Examination(MMSE)and Alzheimer’s Disease Assessment Scale.Resting-state functional magnetic resonance imaging and positron emis-sion tomography data were also collected.Results:The cognitive functioning of AD patients did not change from baseline to the 12-month follow-up.Interestingly,the MMSE score indicated clinical efficacy at 1 month of follow-up.At this time point,the connectivity between the hippocampal network and frontoparietal network tended to increase in the DBS-on state compared to the DBS-off state.Additionally,the increased functional connectivity between the parahippocampal gyrus(PHG)and the parietal cortex was associated with cognitive improvement.Further dynamic functional network analysis showed that NBM-DBS increased the proportion of the PHG-related connections,which was related to improved cognitive performance.Conclusion:The results indicated that NBM-DBS improves short-term cognitive performance in patients with advanced AD,which may be related to the modulation of multi-network connectivity patterns,and the hippocampus plays an important role within these networks.展开更多
How our flexible behavior was supported by the dynamic(re)coding in fronto parietal was explored by the research group led by Prof.Chen Antao(陈安涛)from the Faculty of Psychology,Southwest University with the collabo...How our flexible behavior was supported by the dynamic(re)coding in fronto parietal was explored by the research group led by Prof.Chen Antao(陈安涛)from the Faculty of Psychology,Southwest University with the collaboration of Prof.Tobias Egner from Duke University.The study was supported by the National Natural Science Foundation of China,and was recently published in Journal of Neuroscience(2017,0935-17).展开更多
Numerous studies have shown abnormal brain functional connectivity in individuals with Alzheimer’s disease(AD)or amnestic mild cognitive impairment(aMCI).However,most studies examined traditional resting state functi...Numerous studies have shown abnormal brain functional connectivity in individuals with Alzheimer’s disease(AD)or amnestic mild cognitive impairment(aMCI).However,most studies examined traditional resting state functional connections,ignoring the instantaneous connection mode of the whole brain.In this case-control study,we used a new method called dynamic functional connectivity(DFC)to look for abnormalities in patients with AD and aMCI.We calculated dynamic functional connectivity strength from functional magnetic resonance imaging data for each participant,and then used a support vector machine to classify AD patients and normal controls.Finally,we highlighted brain regions and brain networks that made the largest contributions to the classification.We found differences in dynamic function connectivity strength in the left precuneus,default mode network,and dorsal attention network among normal controls,aMCI patients,and AD patients.These abnormalities are potential imaging markers for the early diagnosis of AD.展开更多
Background:As one of the leading causes of global disability,major depressive disorder(MDD)places a noticeable burden on individuals and society.Despite the great expectation on finding accurate biomarkers and effecti...Background:As one of the leading causes of global disability,major depressive disorder(MDD)places a noticeable burden on individuals and society.Despite the great expectation on finding accurate biomarkers and effective treatment targets of MDD,studies in applying functional magnetic resonance imaging(fMRI)are still faced with challenges,including the representational ambiguity,small sample size,low statistical power,relatively high false positive rates,etc.Thus,reviewing studies with solid methodology may help achieve a consensus on the pathology of MDD.Methods:In this systematic review,we screened fMRI studies on MDD through strict criteria to focus on reliable studies with sufficient sample size,adequate control of head motion,and a proper multiple comparison control strategy.Results:We found consistent evidence regarding the dysfunction within and among the default mode network(DMN),the frontoparietal network(FPN),and other brain regions.However,controversy remains,probably due to the heterogeneity of participants and data processing strategies.Conclusion:Future studies are recommended to apply a comprehensive set of neuro-behavioral measurements,consider the heterogeneity of MDD patients and other potentially confounding factors,apply surface-based neuroscientific network fMRI approaches,and advance research transparency and open science by applying state-ofthe-art pipelines along with open data sharing.展开更多
Background:The personality-brain association mechanism has been a topic of interest in the field of neuroscience.Usually,the previous research strategy was to first group the population based on different personality ...Background:The personality-brain association mechanism has been a topic of interest in the field of neuroscience.Usually,the previous research strategy was to first group the population based on different personality traits,and then explore the brain mechanisms corresponding to different personality groups.At present,a“brain-first”research strategy,which uses data-driven approaches instead of personality traits to first group the population,has been adopted to further enhance study objectivity.Methods:Here,we used a data-driven approach following the“brain-first”research strategy to deeply mine the resting-state brain functional magnetic resonance imaging data of 119 healthy participants,classified subjects into different groups based on brain image characteristics,and used the Sixteen Personality Factor Questionnaire to explain the variabilities of resting-state brain characteristics between different groups.Results:We have identified 3 personality–brain connections,including the privateness–left frontoparietal network,liveliness–sensory–motor network,and vigilance–sensory–motor network.Conclusion:We conclude that the above-mentioned three personality factors are based on brain neural activity,independent of the subjective experience of the personality scale creator,and have stronger explanatory power of brain imaging features.展开更多
基金Supported by the Pharmaceutical Science and Technology Project of Zhejiang Province,No.2023RC266the Natural Science Foundation of Ningbo,No.202003N4266.
文摘BACKGROUND Group cognitive behavioral therapy(GCBT)is increasingly being used to treat obsessive-compulsive disorder(OCD)because of its high efficiency,economy,and interaction among group members.However,the changes in network functional connectivity(FC)in patients with OCD with GCBT remain unclear.AIM To investigate inter-and intra-network resting-state FC(rs-FC)abnormalities before and after GCBT in unmedicated patients with OCD and validate the efficacy of GCBT.METHODS Overall,33 individuals with OCD and 26 healthy controls underwent resting-state functional magnetic resonance imaging.The patients were rescanned 12 weeks after GCBT.Four cognition-related networks-default mode network(DMN),dorsal attention network(DAN),salience network(SAN),and frontoparietal network(FPN)-were selected to examine FC abnormalities within and between OCD networks before and after GCBT.Neuropsychological assessments including memory,executive function,speech,attention,and visuospatial ability were reassessed following GCBT.Pearson’s correlations were used to analyze the relationship between aberrant FC in cognition-related networks and altered neuropsychological assessments in patients.RESULTS Rs-FC within the DMN and DAN decreased significantly.Additionally,rs-FC between the DMN-DAN,DMNFPN,DMN-SAN,and DAN-SAN also decreased.Significant improvements were observed in cognitive functions,such as memory,executive function,attention,and visuospatial ability.Furthermore,reduced rs-FC within the DMN correlated with visuospatial ability and executive function;DAN positively correlated with Shape Trails Test(STT)-A test elapsed time;DMN-DAN negatively correlated with Rey-Osterrieth Complex Figure(Rey-O)mimicry time and the three elapsed times of the tower of Hanoi;DMN-SAN negatively correlated with Rey-O imitation time and positively correlated with STT-A test elapsed time;and DMN-FPN negatively correlated with Auditory Word Learning Test N1 and N4 scores.CONCLUSION Decreased rs-FC within the DMN and DAN,which correlated with executive function post-treatment,has potential as a neuroimaging marker to predict treatment response to GCBT in patients with OCD.
基金the National Natural Science Foundation of China(61761166004 and 81830033).
文摘Background:Deep brain stimulation(DBS)of the nucleus basalis of Meynert(NBM)has shown potential for the treatment of mild-to-moderate Alzheimer’s disease(AD).However,there is little evidence of whether NBM-DBS can improve cognitive functioning in patients with advanced AD.In addition,the mechanisms underlying the modulation of brain networks remain unclear.This study was aimed to assess the cognitive function and the resting-state connectivity following NBM-DBS in patients with advanced AD.Methods:Eight patients with advanced AD underwent bilateral NBM-DBS and were followed up for 12 months.Clinical outcomes were assessed by neuropsychological examinations using the Mini-Mental State Examination(MMSE)and Alzheimer’s Disease Assessment Scale.Resting-state functional magnetic resonance imaging and positron emis-sion tomography data were also collected.Results:The cognitive functioning of AD patients did not change from baseline to the 12-month follow-up.Interestingly,the MMSE score indicated clinical efficacy at 1 month of follow-up.At this time point,the connectivity between the hippocampal network and frontoparietal network tended to increase in the DBS-on state compared to the DBS-off state.Additionally,the increased functional connectivity between the parahippocampal gyrus(PHG)and the parietal cortex was associated with cognitive improvement.Further dynamic functional network analysis showed that NBM-DBS increased the proportion of the PHG-related connections,which was related to improved cognitive performance.Conclusion:The results indicated that NBM-DBS improves short-term cognitive performance in patients with advanced AD,which may be related to the modulation of multi-network connectivity patterns,and the hippocampus plays an important role within these networks.
文摘How our flexible behavior was supported by the dynamic(re)coding in fronto parietal was explored by the research group led by Prof.Chen Antao(陈安涛)from the Faculty of Psychology,Southwest University with the collaboration of Prof.Tobias Egner from Duke University.The study was supported by the National Natural Science Foundation of China,and was recently published in Journal of Neuroscience(2017,0935-17).
基金supported by the National Natural Science Foundation of China,No.81471120Fund Projects in Technology of the Foundation Strengthening Program of China,No.2019-JCJQ-JJ-151(both to XZ).
文摘Numerous studies have shown abnormal brain functional connectivity in individuals with Alzheimer’s disease(AD)or amnestic mild cognitive impairment(aMCI).However,most studies examined traditional resting state functional connections,ignoring the instantaneous connection mode of the whole brain.In this case-control study,we used a new method called dynamic functional connectivity(DFC)to look for abnormalities in patients with AD and aMCI.We calculated dynamic functional connectivity strength from functional magnetic resonance imaging data for each participant,and then used a support vector machine to classify AD patients and normal controls.Finally,we highlighted brain regions and brain networks that made the largest contributions to the classification.We found differences in dynamic function connectivity strength in the left precuneus,default mode network,and dorsal attention network among normal controls,aMCI patients,and AD patients.These abnormalities are potential imaging markers for the early diagnosis of AD.
基金This work was supported by the National Key R&D Program of China(2017YFC1309902 to CY)the National Natural Science Foundation of China(81671774,81630031 to CY)+4 种基金the 13th Five-year Informatization Plan of Chinese Academy of Sciences(XXH13505 to CY)the Key Research Program of the Chinese Academy of Sciences(ZDBS-SSWJSC006 to CY)Beijing Nova Program of Science and Technology(Z191100001119104 to CY)Scientific Foundation of Institute of Psychology,Chinese Academy of Sciences(Y9CX422005 to XC),China Postdoctoral Science Foundation(2019M660847 to XC)China National Postdoctoral Program for Innovative Talents(BX20200360 to XC)。
文摘Background:As one of the leading causes of global disability,major depressive disorder(MDD)places a noticeable burden on individuals and society.Despite the great expectation on finding accurate biomarkers and effective treatment targets of MDD,studies in applying functional magnetic resonance imaging(fMRI)are still faced with challenges,including the representational ambiguity,small sample size,low statistical power,relatively high false positive rates,etc.Thus,reviewing studies with solid methodology may help achieve a consensus on the pathology of MDD.Methods:In this systematic review,we screened fMRI studies on MDD through strict criteria to focus on reliable studies with sufficient sample size,adequate control of head motion,and a proper multiple comparison control strategy.Results:We found consistent evidence regarding the dysfunction within and among the default mode network(DMN),the frontoparietal network(FPN),and other brain regions.However,controversy remains,probably due to the heterogeneity of participants and data processing strategies.Conclusion:Future studies are recommended to apply a comprehensive set of neuro-behavioral measurements,consider the heterogeneity of MDD patients and other potentially confounding factors,apply surface-based neuroscientific network fMRI approaches,and advance research transparency and open science by applying state-ofthe-art pipelines along with open data sharing.
基金supported by the National Natural Science Foundation of China(Grant No.82101610)。
文摘Background:The personality-brain association mechanism has been a topic of interest in the field of neuroscience.Usually,the previous research strategy was to first group the population based on different personality traits,and then explore the brain mechanisms corresponding to different personality groups.At present,a“brain-first”research strategy,which uses data-driven approaches instead of personality traits to first group the population,has been adopted to further enhance study objectivity.Methods:Here,we used a data-driven approach following the“brain-first”research strategy to deeply mine the resting-state brain functional magnetic resonance imaging data of 119 healthy participants,classified subjects into different groups based on brain image characteristics,and used the Sixteen Personality Factor Questionnaire to explain the variabilities of resting-state brain characteristics between different groups.Results:We have identified 3 personality–brain connections,including the privateness–left frontoparietal network,liveliness–sensory–motor network,and vigilance–sensory–motor network.Conclusion:We conclude that the above-mentioned three personality factors are based on brain neural activity,independent of the subjective experience of the personality scale creator,and have stronger explanatory power of brain imaging features.
