Examining the spontaneous BOLD activity to understand the neural mechanism of Parkinson’s disease(PD)with mild cognitive impairment(MCI)is a focus in resting-state functional MRI(rs-fMRI)studies.This study aimed to i...Examining the spontaneous BOLD activity to understand the neural mechanism of Parkinson’s disease(PD)with mild cognitive impairment(MCI)is a focus in resting-state functional MRI(rs-fMRI)studies.This study aimed to investigate the alteration of brain functional connectivity in PD with MCI in a systematical way at two levels:functional connectivity analysis within resting state networks(RSNs)and functional network connectivity(FNC)analysis.Using group independent component analysis(ICA)on rs-fMRI data acquired from 30 participants(14 healthy controls and 16 PD patients with MCI),16 RSNs were identified,and functional connectivity analysis within the RSNs and FNC analysis were carried out between groups.Compared to controls,patients with PD showed decreased functional connectivity within putamen network,thalamus network,cerebellar network,attention network,and self-referential network,and increased functional connectivity within execution network.Globally disturbed,mostly increased functional connectivity of FNC was observed in PD group,and insular network and execution network were the dominant network with extensively increased functional connectivity with other RSNs.Cerebellar network showed decreased functional connectivity with caudate network,insular network,and self-referential network.In general,decreased functional connectivity within RSNs and globally disturbed,mostly increased functional connectivity of FNC may be characteristics of PD.Increased functional connectivity within execution network may be an early marker of PD.The multi-perspective study based on RSNs may be a valuable means to assess functional changes corresponding to specific RSN,contributing to the understanding of the neural mechanism of PD.展开更多
Objective:This study aims to determine the relationship between education level,memory function,and hippocampus functional and structural alterations in subjective cognitive decline(SCD).Methods:Seventy-five participa...Objective:This study aims to determine the relationship between education level,memory function,and hippocampus functional and structural alterations in subjective cognitive decline(SCD).Methods:Seventy-five participants with SCD were divided into high education(HE)and low education(LE)level groups.A Wechsler Memory Scale-Chinese Revision test and functional and structural MRI were performed within 1 week after participant recruitment.The bilateral hippocampus resting-state functional connectivity(rsF C),gray matter volume(GMV)of brain regions identified by rsF C analysis,and moderating and mediating effects were assessed.Results:Compared with the LE group,HE individuals showed 1)higher memory quotient(MQ)and Digit Span subscore,2)decreased hippocampal rs FC with the right medial prefrontal cortex(mPFC)and dorsolateral prefrontal cortex(DLPFC),and 3)increased GMV in the right mP FC and DLPFC.The bilateral hippocampus-right DLPFCrs FC significantly associated with the MQ and the bilateral hippocampus-right m PFCrs FC with the Digit Span subscore in each group.The bilateral hippocampus-right DLPFCrsFC moderated the relationship between the education level and MQ.The bilateral hippocampus-right mP FC rsF C mediated the relationship between the education level and Digit Span subscore in all subjects.Conclusion:The hippocampal rsF C with the right mP FC and DLPFC contributes to the education level effect on memory function in SCD.展开更多
<strong>Background</strong>: Brain atrophy and cognitive deficits persist among individuals with suppressed HIV disease. The impact of cannabis use is unknown. <strong>Methods</strong>: HIV+ an...<strong>Background</strong>: Brain atrophy and cognitive deficits persist among individuals with suppressed HIV disease. The impact of cannabis use is unknown. <strong>Methods</strong>: HIV+ and HIV- participants underwent cross-sectional magnetic resonance imaging and neuropsychological testing. Lifetime frequency, duration (years), and recency of cannabis use were self-reported. Relationships of cannabis use to resting-state functional connectivity (RSFC) and to 9 regional brain volumes were assessed with corrections for multiple comparisons. Peripheral blood cytokines and monocyte subsets were measured in the HIV+ group and examined in relation to cannabis exposure. <strong>Results</strong>: We evaluated 52 HIV+ [50.8 ± 7.1 years old;100% on antiretroviral therapy ≥ 3 months;83% with plasma viral load < 50 copies/mL] and 55 HIV- [54.0 ± 7.5 years old] individuals. Among HIV+ participants, recent cannabis use (within 12 months) was associated with diminished RSFC, including of occipital cortex, controlling for age. Duration of use correlated negatively with volumes of all regions (most strikingly the nucleus accumbens) independently of recent use and intracranial volume. Recent use was associated with larger caudate and white matter volumes and lower soluble vascular cell adhesion molecule-1 and monocyte chemoattractant protein-1 concentrations. Duration of use correlated positively with psychomotor speed. Use > 10 times/lifetime was linked to more somatic symptoms, better executive function, and lower CD14<sup>+</sup>CD16<sup><span style="white-space:normal;"><sup></sup></span>++</sup><span style="white-space:normal;"></span> monocyte count. <strong>Conclusion</strong>: HIV+ individuals demonstrated opposing associations with cannabis. Recent use may weaken RSFC and prolonged consumption may exacerbate atrophy of the accumbens and other brain regions. More frequent or recent cannabis use may reduce the inflammation and CD14<sup><span style="white-space:normal;"><sup></sup></span>+</sup><span style="white-space:normal;"></span>CD16<sup><span style="white-space:normal;"><sup></sup></span>++</sup><span style="white-space:normal;"></span> monocytes that facilitate HIV neuroinvasion. HIV-specific cannabis studies are necessary.展开更多
Background:Childhood maltreatment(CM)is a potential risk factor for some neuropsychiatric disorders in adulthood(e.g.depression and anxiety)and alters trajectories of brain development.Accumulating evidence suggests t...Background:Childhood maltreatment(CM)is a potential risk factor for some neuropsychiatric disorders in adulthood(e.g.depression and anxiety)and alters trajectories of brain development.Accumulating evidence suggests that functional connectivity of the limbic system,especially the amygdala,is highly associated with childhood maltreatment,although not all studies have found this.These inconsistent results may be due to differential alterations of amygdala resting-state functional connectivity(rsFC)following childhood maltreatment.Objective:Our aim was to investigate the relationship between the rsFC of amygdala subregions and CM severity,as well as to develop a stable rsFC-based model for inferring the severity of CM.Methods:In this study,we employed the Childhood Trauma Questionnaire(CTQ)to assess CM severity in each individual.We explored the relationship between the rsFC of amygdala subregions(i.e.centromedial-CMA,basolateral-BLA,superficial-SFA amygdala)and CM experience in a discovery dataset of n=110 healthy Chinese participants by linear multiple regression analysis.Subsequent dimensional and categorical approach were performed to elucidate the relationship between rsFCs and CM severity and CM subtypes,respectively.A support vector regression model was then conducted to validate the associations between rsFCs and total CTQ scores.Moreover,we also verified the model into another independent replication dataset(n=38).Results:Our findings suggested that childhood maltreatment was negatively associated with rsFC between the right superficial amyg-dala and perigenual anterior cingulate cortex(pgACC)/postcentral gyrus(PCG)but not the other two amygdala subregions.Moreover,SFA-pgACC coupling was more associated with physical neglect whereas the SFA-PCG was more related to emotional neglect.In addi-tion,supervised machine learning confirmed that using these two rsFCs as predictors could stably estimate continuous maltreatment severity in both discovery and replication datasets.Conclusion:The current study supports that the rsFCs of superficial amygdala are related to childhood maltreatment and which may be a potential biomarker for the effects of childhood maltreatment-related psychiatric disorders(i.e.depression and anxiety).展开更多
Background:Autism spectrum disorder(ASD)is characterized by social and behavioural deficits.Current diagnosis relies on be-havioural criteria,but machine learning,particularly connectome-based predictive modelling(CPM...Background:Autism spectrum disorder(ASD)is characterized by social and behavioural deficits.Current diagnosis relies on be-havioural criteria,but machine learning,particularly connectome-based predictive modelling(CPM),offers the potential to uncover neural biomarkers for ASD.Objective:This study aims to predict the severity of ASD traits using CPM and explores differences among ASD subtypes,seeking to enhance diagnosis and understanding of ASD.Methods:Resting-state functional magnetic resonance imaging data from 151 ASD patients were used in the model.CPM with leave-one-out cross-validation was conducted to identify intrinsic neural networks that predict Autism Diagnostic Observation Schedule(ADOS)scores.After the model was constructed,it was applied to independent samples to test its replicability(172 ASD patients)and specificity(36 healthy control participants).Furthermore,we examined the predictive model across different aspects of ASD and in subtypes of ASD to understand the potential mechanisms underlying the results.Results:The CPM successfully identified negative networks that significantly predicted ADOS total scores[r(df=150)=0.19,P=0.008 in all patients;r(df=104)=0.20,P=0.040 in classic autism]and communication scores[r(df=150)=0.22,P=0.010 in all patients;r(df=104)=0.21,P=0.020 in classic autism].These results were reproducible across independent databases.The networks were characterized by enhanced inter-and intranetwork connectivity associated with the occipital network(OCC),and the sensorimotor network(SMN)also played important roles.Conclusions:A CPM based on whole-brain resting-state functional connectivity can predicted the severity of ASD.Large-scale net-works,including the OCC and SMN,played important roles in the predictive model.These findings may provide new directions for the diagnosis and intervention of ASD,and maybe could be the targets in novel interventions.展开更多
基金This project was supported by grants from National Natural Science Foundation of China(No.81701655 and No.81600317)Platform Research Foundation of Union Hospital,Tongji Medical College,Huazhong university of Science and Technology(No.02.03.2017-14).
文摘Examining the spontaneous BOLD activity to understand the neural mechanism of Parkinson’s disease(PD)with mild cognitive impairment(MCI)is a focus in resting-state functional MRI(rs-fMRI)studies.This study aimed to investigate the alteration of brain functional connectivity in PD with MCI in a systematical way at two levels:functional connectivity analysis within resting state networks(RSNs)and functional network connectivity(FNC)analysis.Using group independent component analysis(ICA)on rs-fMRI data acquired from 30 participants(14 healthy controls and 16 PD patients with MCI),16 RSNs were identified,and functional connectivity analysis within the RSNs and FNC analysis were carried out between groups.Compared to controls,patients with PD showed decreased functional connectivity within putamen network,thalamus network,cerebellar network,attention network,and self-referential network,and increased functional connectivity within execution network.Globally disturbed,mostly increased functional connectivity of FNC was observed in PD group,and insular network and execution network were the dominant network with extensively increased functional connectivity with other RSNs.Cerebellar network showed decreased functional connectivity with caudate network,insular network,and self-referential network.In general,decreased functional connectivity within RSNs and globally disturbed,mostly increased functional connectivity of FNC may be characteristics of PD.Increased functional connectivity within execution network may be an early marker of PD.The multi-perspective study based on RSNs may be a valuable means to assess functional changes corresponding to specific RSN,contributing to the understanding of the neural mechanism of PD.
基金supported by the National Natural Science Foundation of China(Grant No.81904270)Natural Science Foundation of Fujian Province(Grant No.2019J01362)+1 种基金Science and Technology Platform Construction Project of Fujian Science and Technology Department(Grant No.2015Y2001)Educational Department of Fujian Province Outstanding Youth Scientific Research Talent Cultivation Program(Grant No.Min Jiao Ke[2018]47)
文摘Objective:This study aims to determine the relationship between education level,memory function,and hippocampus functional and structural alterations in subjective cognitive decline(SCD).Methods:Seventy-five participants with SCD were divided into high education(HE)and low education(LE)level groups.A Wechsler Memory Scale-Chinese Revision test and functional and structural MRI were performed within 1 week after participant recruitment.The bilateral hippocampus resting-state functional connectivity(rsF C),gray matter volume(GMV)of brain regions identified by rsF C analysis,and moderating and mediating effects were assessed.Results:Compared with the LE group,HE individuals showed 1)higher memory quotient(MQ)and Digit Span subscore,2)decreased hippocampal rs FC with the right medial prefrontal cortex(mPFC)and dorsolateral prefrontal cortex(DLPFC),and 3)increased GMV in the right mP FC and DLPFC.The bilateral hippocampus-right DLPFCrs FC significantly associated with the MQ and the bilateral hippocampus-right m PFCrs FC with the Digit Span subscore in each group.The bilateral hippocampus-right DLPFCrsFC moderated the relationship between the education level and MQ.The bilateral hippocampus-right mP FC rsF C mediated the relationship between the education level and Digit Span subscore in all subjects.Conclusion:The hippocampal rsF C with the right mP FC and DLPFC contributes to the education level effect on memory function in SCD.
文摘<strong>Background</strong>: Brain atrophy and cognitive deficits persist among individuals with suppressed HIV disease. The impact of cannabis use is unknown. <strong>Methods</strong>: HIV+ and HIV- participants underwent cross-sectional magnetic resonance imaging and neuropsychological testing. Lifetime frequency, duration (years), and recency of cannabis use were self-reported. Relationships of cannabis use to resting-state functional connectivity (RSFC) and to 9 regional brain volumes were assessed with corrections for multiple comparisons. Peripheral blood cytokines and monocyte subsets were measured in the HIV+ group and examined in relation to cannabis exposure. <strong>Results</strong>: We evaluated 52 HIV+ [50.8 ± 7.1 years old;100% on antiretroviral therapy ≥ 3 months;83% with plasma viral load < 50 copies/mL] and 55 HIV- [54.0 ± 7.5 years old] individuals. Among HIV+ participants, recent cannabis use (within 12 months) was associated with diminished RSFC, including of occipital cortex, controlling for age. Duration of use correlated negatively with volumes of all regions (most strikingly the nucleus accumbens) independently of recent use and intracranial volume. Recent use was associated with larger caudate and white matter volumes and lower soluble vascular cell adhesion molecule-1 and monocyte chemoattractant protein-1 concentrations. Duration of use correlated positively with psychomotor speed. Use > 10 times/lifetime was linked to more somatic symptoms, better executive function, and lower CD14<sup>+</sup>CD16<sup><span style="white-space:normal;"><sup></sup></span>++</sup><span style="white-space:normal;"></span> monocyte count. <strong>Conclusion</strong>: HIV+ individuals demonstrated opposing associations with cannabis. Recent use may weaken RSFC and prolonged consumption may exacerbate atrophy of the accumbens and other brain regions. More frequent or recent cannabis use may reduce the inflammation and CD14<sup><span style="white-space:normal;"><sup></sup></span>+</sup><span style="white-space:normal;"></span>CD16<sup><span style="white-space:normal;"><sup></sup></span>++</sup><span style="white-space:normal;"></span> monocytes that facilitate HIV neuroinvasion. HIV-specific cannabis studies are necessary.
基金supported by the Fundamental Research Funds for the Central Universities,UESTC[grant number ZYGX2020J027-WHZ]Natural Science Foundation of sichuan Province[grant number 2022NSFSC1375-WHZ]+1 种基金Guangdong Basic and Applied Basic Research Foundation[grant number 2021A1515110511-WHZ]Sichuan Science and Technology Program[grant number 2020YFS0484 WXY].
文摘Background:Childhood maltreatment(CM)is a potential risk factor for some neuropsychiatric disorders in adulthood(e.g.depression and anxiety)and alters trajectories of brain development.Accumulating evidence suggests that functional connectivity of the limbic system,especially the amygdala,is highly associated with childhood maltreatment,although not all studies have found this.These inconsistent results may be due to differential alterations of amygdala resting-state functional connectivity(rsFC)following childhood maltreatment.Objective:Our aim was to investigate the relationship between the rsFC of amygdala subregions and CM severity,as well as to develop a stable rsFC-based model for inferring the severity of CM.Methods:In this study,we employed the Childhood Trauma Questionnaire(CTQ)to assess CM severity in each individual.We explored the relationship between the rsFC of amygdala subregions(i.e.centromedial-CMA,basolateral-BLA,superficial-SFA amygdala)and CM experience in a discovery dataset of n=110 healthy Chinese participants by linear multiple regression analysis.Subsequent dimensional and categorical approach were performed to elucidate the relationship between rsFCs and CM severity and CM subtypes,respectively.A support vector regression model was then conducted to validate the associations between rsFCs and total CTQ scores.Moreover,we also verified the model into another independent replication dataset(n=38).Results:Our findings suggested that childhood maltreatment was negatively associated with rsFC between the right superficial amyg-dala and perigenual anterior cingulate cortex(pgACC)/postcentral gyrus(PCG)but not the other two amygdala subregions.Moreover,SFA-pgACC coupling was more associated with physical neglect whereas the SFA-PCG was more related to emotional neglect.In addi-tion,supervised machine learning confirmed that using these two rsFCs as predictors could stably estimate continuous maltreatment severity in both discovery and replication datasets.Conclusion:The current study supports that the rsFCs of superficial amygdala are related to childhood maltreatment and which may be a potential biomarker for the effects of childhood maltreatment-related psychiatric disorders(i.e.depression and anxiety).
文摘Background:Autism spectrum disorder(ASD)is characterized by social and behavioural deficits.Current diagnosis relies on be-havioural criteria,but machine learning,particularly connectome-based predictive modelling(CPM),offers the potential to uncover neural biomarkers for ASD.Objective:This study aims to predict the severity of ASD traits using CPM and explores differences among ASD subtypes,seeking to enhance diagnosis and understanding of ASD.Methods:Resting-state functional magnetic resonance imaging data from 151 ASD patients were used in the model.CPM with leave-one-out cross-validation was conducted to identify intrinsic neural networks that predict Autism Diagnostic Observation Schedule(ADOS)scores.After the model was constructed,it was applied to independent samples to test its replicability(172 ASD patients)and specificity(36 healthy control participants).Furthermore,we examined the predictive model across different aspects of ASD and in subtypes of ASD to understand the potential mechanisms underlying the results.Results:The CPM successfully identified negative networks that significantly predicted ADOS total scores[r(df=150)=0.19,P=0.008 in all patients;r(df=104)=0.20,P=0.040 in classic autism]and communication scores[r(df=150)=0.22,P=0.010 in all patients;r(df=104)=0.21,P=0.020 in classic autism].These results were reproducible across independent databases.The networks were characterized by enhanced inter-and intranetwork connectivity associated with the occipital network(OCC),and the sensorimotor network(SMN)also played important roles.Conclusions:A CPM based on whole-brain resting-state functional connectivity can predicted the severity of ASD.Large-scale net-works,including the OCC and SMN,played important roles in the predictive model.These findings may provide new directions for the diagnosis and intervention of ASD,and maybe could be the targets in novel interventions.
