ASAF: altered spontaneous activity fingerprinting in Alzheimer's disease based on multisite fMRI
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摘要
Several monocentric studies have noted alterations in spontaneous brain activity in Alzheimer's disease(AD), although there is no consensus on the altered amplitude of low-frequency fluctuations in AD patients. The main aim of the present study was to identify a reliable and reproducible abnormal brain activity pattern in AD. The amplitude of local brain activity(AM), which can provide fast mapping of spontaneous brain activity across the whole brain, was evaluated based on multisite rs-fMRI data for688 subjects(215 normal controls(NCs), 221 amnestic mild cognitive impairment(aMCI) 252 AD).Two-sample t-tests were used to detect group differences between AD patients and NCs from the same site. Differences in the AM maps were statistically analyzed via the Stouffer's meta-analysis. Consistent regions of lower spontaneous brain activity in the default mode network and increased activity in the bilateral hippocampus/parahippocampus, thalamus, caudate nucleus, orbital part of the middle frontal gyrus and left fusiform were observed in the AD patients compared with those in NCs. Significant correlations(P < 0.05, Bonferroni corrected) between the normalized amplitude index and Mini-Mental State Examination scores were found in the identified brain regions, which indicates that the altered brain activity was associated with cognitive decline in the patients. Multivariate analysis and leave-one-siteout cross-validation led to a 78.49% prediction accuracy for single-patient classification. The altered activity patterns of the identified brain regions were largely correlated with the FDG-PET results from another independent study. These results emphasized the impaired brain activity to provide a robust and reproducible imaging signature of AD.
Several monocentric studies have noted alterations in spontaneous brain activity in Alzheimer's disease(AD), although there is no consensus on the altered amplitude of low-frequency fluctuations in AD patients. The main aim of the present study was to identify a reliable and reproducible abnormal brain activity pattern in AD. The amplitude of local brain activity(AM), which can provide fast mapping of spontaneous brain activity across the whole brain, was evaluated based on multisite rs-fMRI data for688 subjects(215 normal controls(NCs), 221 amnestic mild cognitive impairment(aMCI) 252 AD).Two-sample t-tests were used to detect group differences between AD patients and NCs from the same site. Differences in the AM maps were statistically analyzed via the Stouffer's meta-analysis. Consistent regions of lower spontaneous brain activity in the default mode network and increased activity in the bilateral hippocampus/parahippocampus, thalamus, caudate nucleus, orbital part of the middle frontal gyrus and left fusiform were observed in the AD patients compared with those in NCs. Significant correlations(P < 0.05, Bonferroni corrected) between the normalized amplitude index and Mini-Mental State Examination scores were found in the identified brain regions, which indicates that the altered brain activity was associated with cognitive decline in the patients. Multivariate analysis and leave-one-siteout cross-validation led to a 78.49% prediction accuracy for single-patient classification. The altered activity patterns of the identified brain regions were largely correlated with the FDG-PET results from another independent study. These results emphasized the impaired brain activity to provide a robust and reproducible imaging signature of AD.
Several monocentric studies have noted alterations in spontaneous brain activity in Alzheimer's disease(AD), although there is no consensus on the altered amplitude of low-frequency fluctuations in AD patients. The main aim of the present study was to identify a reliable and reproducible abnormal brain activity pattern in AD. The amplitude of local brain activity(AM), which can provide fast mapping of spontaneous brain activity across the whole brain, was evaluated based on multisite rs-fMRI data for688 subjects(215 normal controls(NCs), 221 amnestic mild cognitive impairment(aMCI) 252 AD).Two-sample t-tests were used to detect group differences between AD patients and NCs from the same site. Differences in the AM maps were statistically analyzed via the Stouffer's meta-analysis. Consistent regions of lower spontaneous brain activity in the default mode network and increased activity in the bilateral hippocampus/parahippocampus, thalamus, caudate nucleus, orbital part of the middle frontal gyrus and left fusiform were observed in the AD patients compared with those in NCs. Significant correlations(P < 0.05, Bonferroni corrected) between the normalized amplitude index and Mini-Mental State Examination scores were found in the identified brain regions, which indicates that the altered brain activity was associated with cognitive decline in the patients. Multivariate analysis and leave-one-siteout cross-validation led to a 78.49% prediction accuracy for single-patient classification. The altered activity patterns of the identified brain regions were largely correlated with the FDG-PET results from another independent study. These results emphasized the impaired brain activity to provide a robust and reproducible imaging signature of AD.
引文
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[17]Zhou Y,Yu F,Duong TQ,et al.White matter lesion load is associated with resting state functional MRI activity and amyloid PET but not FDG in mild cognitive impairment and early Alzheimer’s disease patients.J Magn Reson Imaging 2015;41:102-9.
[18]He Y,Wang L,Zang Y,et al.Regional coherence changes in the early stages of Alzheimer’s disease:a combined structural and resting-state functional MRIstudy.Neuroimage 2007;35:488-500.
[19]Wang Z,Yan C,Zhao C,et al.Spatial patterns of intrinsic brain activity in mild cognitive impairment and Alzheimer’s disease:a resting-state functional MRIstudy.Hum Brain Mapp 2011;32:1720-40.
[20]Song J,Qin W,Liu Y,et al.Aberrant functional organization within and between resting-state networks in AD.PLoS One 2013;8:e63727.
[21]Liu Y,Yu C,Zhang X,et al.Impaired long distance functional connectivity and weighted network architecture in Alzheimer’s disease.Cereb Cortex2014;24:1422-35.
[22]Liu X,Wang S,Zhang X,et al.Abnormal amplitude of low-frequency fluctuations of intrinsic brain activity in Alzheimer’s disease.J Alzheimers Dis2014;40:387-97.
[23]Weiler M,Teixeira CV,Nogueira MH,et al.Differences and the relationship in default mode network intrinsic activity and functional connectivity in mild Alzheimer’s disease and amnestic mild cognitive impairment.Brain Connect2014;4:567-74.
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[28]Dai Z,Yan C,Wang Z,et al.Discriminative analysis of early Alzheimer’s disease using multi-modal imaging and multi-level characterization with multi-classifier(M3).Neuroimage 2012;59:2187-95.
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