Attention deficit/hyperactivity disorder(ADHD)is a common disorder among children.ADHD often prevails into adulthood,unless proper treatments are facilitated to engage self-regulatory systems.Thus,there is a need for ...Attention deficit/hyperactivity disorder(ADHD)is a common disorder among children.ADHD often prevails into adulthood,unless proper treatments are facilitated to engage self-regulatory systems.Thus,there is a need for effective and reliable mechanisms for the early identification of ADHD.This paper presents a decision support system for the ADHD identification process.The proposed system uses both functional magnetic resonance imaging(fMRI)data and eye movement data.The classification processes contain enhanced pipelines,and consist of pre-processing,feature extraction,and feature selection mechanisms.fMRI data are processed by extracting seed-based correlation features in default mode network(DMN)and eye movement data using aggregated features of fixations and saccades.For the classification using eye movement data,an ensemble model is obtained with 81%overall accuracy.For the fMRI classification,a convolutional neural network(CNN)is used with 82%accuracy for the ADHD identification.Both ensemble models are proved for overfitting avoidance.展开更多
Background:Resting-state functional magnetic resonance imaging studies using a regional homogeneity(ReHo)method have reported that amnestic mild cognitive impairment(aMCI)was associated with abnormalities in local fun...Background:Resting-state functional magnetic resonance imaging studies using a regional homogeneity(ReHo)method have reported that amnestic mild cognitive impairment(aMCI)was associated with abnormalities in local functional connectivity.However,their results were not conclusive.Methods:Seed-based d Mapping was used to conduct a coordinate-based meta-analysis to identify consistent ReHo alterations in aMCI.Results:We identified 10 studies with 11 datasets suitable for inclusion,including 378 patients with aMCI and 435 healthy controls.This meta-analysis identified significant ReHo alterations in patients with aMCI relative to healthy controls,mainly within the default mode network(DMN)(bilateral posterior cingulate cortex[PCC],right angular gyrus,bilateral middle temporal gyri,and left parahippocampal gyrus/hippocampus),executive control network(right superior parietal lobule and dorsolateral prefrontal cortex),visual network(right lingual gyrus and left middle occipital gyrus),and sensorimotor network(right paracentral lobule/supplementary motor area,right postcentral gyrus and left posterior insula).Significant heterogeneity of ReHo alterations in the bilateral PCC,left parahippocampal gyrus/hippocampus,and right superior parietal lobule/angular gyrus was observed.Exploratory meta-regression analyses indicated that general cognitive function,gender distribution,age,and education level partially contributed to this heterogeneity.Conclusions:This study provides provisional evidence that aMCI is associated with abnormal ReHo within the DMN,executive control network,visual network,and sensorimotor network.These local functional connectivity alterations suggest coexistence of functional deficits and compensation in these networks.These findings contribute to the modeling of brain functional connectomes and to a better understanding of the neural substrates of aMCI.Confounding factors merit much attention and warrant future investigations.展开更多
Brain 18F-fluorodeoxyglucose positron emission tomography(FDG-PET)has been utilized to monitor disease conversion from amnestic mild cognitive impairment(aMCI)to Alzheimer’s dementia(AD).However,the conversion patter...Brain 18F-fluorodeoxyglucose positron emission tomography(FDG-PET)has been utilized to monitor disease conversion from amnestic mild cognitive impairment(aMCI)to Alzheimer’s dementia(AD).However,the conversion patterns of FDG-PET metabolism across studies are not conclusive.We conducted a voxel-wise meta-analysis using Seed-based d Mapping that included 10 baseline voxel-wise FDG-PET comparisons between 93 aMCI converters and 129 aMCI nonconverters from nine longitudinal studies.The most robust and reliable metabolic alterations that predicted conversion from aMCI to AD were localized in the left posterior cingulate cortex(PCC)/precuneus.Furthermore,meta-regression analyses indicated that baseline mean age and severity of cognitive impairment,and follow-up duration were significant moderators for metabolic alterations in aMCI converters.Our study revealed hypometabolism in the left PCC/precuneus as an early feature in the development of AD.This finding has important implications in understanding the neural substrates for AD conversion and could serve as a potential imaging biomarker for early detection of AD as well as for tracking disease progression at the predementia stage.展开更多
Background:Abnormalities of cortical thickness(CTh)in patients with their first episode psychosis(FEP)have been frequently reported,but findings are inconsistent.Objective:To define the most consistent CTh changes in ...Background:Abnormalities of cortical thickness(CTh)in patients with their first episode psychosis(FEP)have been frequently reported,but findings are inconsistent.Objective:To define the most consistent CTh changes in patients with FEP by meta-analysis of publishedwholebrain studies.Methods:The meta-analysis used seed-based dmapping(SDM)software to obtain the most prominent regional CTh changes in FEP,and meta-regression analyses to explore the effects of demographics and clinical characteristics.The meta-analysis results were verified in an independent sample of 142 FEP patients and 142 age-and sex-matched healthy controls(HCs),using both a vertex-wise and a region of interest analysis,with multiple comparisons correction.Results:The meta-analysis identified lower CTh in the rightmiddle temporal cortex(MTC)extending to superior temporal cortex(STC),insula,and anterior cingulate cortex(ACC)in FEP compared with HCs.No significant correlations were identified between CTh alterations and demographic or clinical variables.These results were replicated in the independent dataset analysis.Conclusion:This study identifies a robust pattern of cortical abnormalities in FEP and extends understanding of gray matter abnormalities and pathological mechanisms in FEP.展开更多
基金This work was supported by Old Dominion University,Norfolk,Virginia,USA and University of Moratuwa,Sri Lanka.We thank the participants of the system usability study.
文摘Attention deficit/hyperactivity disorder(ADHD)is a common disorder among children.ADHD often prevails into adulthood,unless proper treatments are facilitated to engage self-regulatory systems.Thus,there is a need for effective and reliable mechanisms for the early identification of ADHD.This paper presents a decision support system for the ADHD identification process.The proposed system uses both functional magnetic resonance imaging(fMRI)data and eye movement data.The classification processes contain enhanced pipelines,and consist of pre-processing,feature extraction,and feature selection mechanisms.fMRI data are processed by extracting seed-based correlation features in default mode network(DMN)and eye movement data using aggregated features of fixations and saccades.For the classification using eye movement data,an ensemble model is obtained with 81%overall accuracy.For the fMRI classification,a convolutional neural network(CNN)is used with 82%accuracy for the ADHD identification.Both ensemble models are proved for overfitting avoidance.
基金This work was supported by the National Natural Science Foundation of China(Grant No.81601161)Jiangsu Provincial Commission of Health and Family Planning(Grant No.QNRC2016466).
文摘Background:Resting-state functional magnetic resonance imaging studies using a regional homogeneity(ReHo)method have reported that amnestic mild cognitive impairment(aMCI)was associated with abnormalities in local functional connectivity.However,their results were not conclusive.Methods:Seed-based d Mapping was used to conduct a coordinate-based meta-analysis to identify consistent ReHo alterations in aMCI.Results:We identified 10 studies with 11 datasets suitable for inclusion,including 378 patients with aMCI and 435 healthy controls.This meta-analysis identified significant ReHo alterations in patients with aMCI relative to healthy controls,mainly within the default mode network(DMN)(bilateral posterior cingulate cortex[PCC],right angular gyrus,bilateral middle temporal gyri,and left parahippocampal gyrus/hippocampus),executive control network(right superior parietal lobule and dorsolateral prefrontal cortex),visual network(right lingual gyrus and left middle occipital gyrus),and sensorimotor network(right paracentral lobule/supplementary motor area,right postcentral gyrus and left posterior insula).Significant heterogeneity of ReHo alterations in the bilateral PCC,left parahippocampal gyrus/hippocampus,and right superior parietal lobule/angular gyrus was observed.Exploratory meta-regression analyses indicated that general cognitive function,gender distribution,age,and education level partially contributed to this heterogeneity.Conclusions:This study provides provisional evidence that aMCI is associated with abnormal ReHo within the DMN,executive control network,visual network,and sensorimotor network.These local functional connectivity alterations suggest coexistence of functional deficits and compensation in these networks.These findings contribute to the modeling of brain functional connectomes and to a better understanding of the neural substrates of aMCI.Confounding factors merit much attention and warrant future investigations.
基金This work was supported by the National Natural Science Foundation of China(Grant No.81601161).
文摘Brain 18F-fluorodeoxyglucose positron emission tomography(FDG-PET)has been utilized to monitor disease conversion from amnestic mild cognitive impairment(aMCI)to Alzheimer’s dementia(AD).However,the conversion patterns of FDG-PET metabolism across studies are not conclusive.We conducted a voxel-wise meta-analysis using Seed-based d Mapping that included 10 baseline voxel-wise FDG-PET comparisons between 93 aMCI converters and 129 aMCI nonconverters from nine longitudinal studies.The most robust and reliable metabolic alterations that predicted conversion from aMCI to AD were localized in the left posterior cingulate cortex(PCC)/precuneus.Furthermore,meta-regression analyses indicated that baseline mean age and severity of cognitive impairment,and follow-up duration were significant moderators for metabolic alterations in aMCI converters.Our study revealed hypometabolism in the left PCC/precuneus as an early feature in the development of AD.This finding has important implications in understanding the neural substrates for AD conversion and could serve as a potential imaging biomarker for early detection of AD as well as for tracking disease progression at the predementia stage.
基金supported by the National Natural Science Foundation of China(grant nos 81621003,81761128023,81820108018,82027808,and 82001795)NIH/NIMH R01MH112189-01,China Postdoctoral Science Foundation(2020M673245)+3 种基金Post-Doctor Research Project of West China Hospital of Sichuan University(2021HXBH025)US-China joint grant(grant nos NSFC81761128023)Instituto de Salud Carlos III/European Union(ERDF/ESF,‘Investing in your future’:CPII19/00009 and PI19/00394)the project SLT006/17/00357,from PERIS 2016-2020(Departament de Salut),CERCA Programme/Generalitat de Catalunya.
文摘Background:Abnormalities of cortical thickness(CTh)in patients with their first episode psychosis(FEP)have been frequently reported,but findings are inconsistent.Objective:To define the most consistent CTh changes in patients with FEP by meta-analysis of publishedwholebrain studies.Methods:The meta-analysis used seed-based dmapping(SDM)software to obtain the most prominent regional CTh changes in FEP,and meta-regression analyses to explore the effects of demographics and clinical characteristics.The meta-analysis results were verified in an independent sample of 142 FEP patients and 142 age-and sex-matched healthy controls(HCs),using both a vertex-wise and a region of interest analysis,with multiple comparisons correction.Results:The meta-analysis identified lower CTh in the rightmiddle temporal cortex(MTC)extending to superior temporal cortex(STC),insula,and anterior cingulate cortex(ACC)in FEP compared with HCs.No significant correlations were identified between CTh alterations and demographic or clinical variables.These results were replicated in the independent dataset analysis.Conclusion:This study identifies a robust pattern of cortical abnormalities in FEP and extends understanding of gray matter abnormalities and pathological mechanisms in FEP.
