Age-related networks of regional covariance in MRI gray matter: reproducible multivariate patterns in healthy aging.

Age-related networks of regional covariance in MRI gray matter: reproducible multivariate patterns in healthy aging.
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DOI:
10.1016/j.neuroimage.2009.09.051
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发表时间:
2010-01-15
期刊:
影响因子:
5.7
通讯作者:
Alexander, Gene E.
Alexander, Gene E.
中科院分区:
医学1区
文献类型:
--
作者:
Bergfield, Kaitlin L.;Hanson, Krista D.;Chen, Kewei;Teipel, Stefan J.;Hampel, Harald;Rapoport, Stanley I.;Moeller, James R.;Alexander, Gene E.

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健康的衰老与涉及额叶皮质的脑容量减少有关,但也影响到大脑的其他区域。在29名23-84岁的健康成年人(第1组)中,我们试图使用区域协方差的多元统计模型,即基于体素的形态测量(VBM)的缩放子剖面模型(SSM)来确定MRI灰质的年龄相关网络模式。此外,我们评估了从先前的SSM VBM研究中获得的年龄相关灰质模式的可重复性,该研究涉及26名22-77岁的健康成年人(第二组),与当前样本相关,并测试了网络分析从两个队列中提取年龄相关模式的能力。第1组的SSM VBM分析确定了与健康衰老相关的灰质萎缩的区域模式(R2=0.64, p<0.000001),包括双侧背外侧和内侧额叶、前扣带、岛/外岛、楔前叶、顶颞叶和尾状核区域的广泛减少,双侧小脑、丘脑、壳核、中扣带和颞极区域的相对保留。先前在组2中报道的与年龄相关的SSM VBM灰质模式在组1中高度表达(R2=0.52, p<0.00002)。联合队列的SSM分析提取了一种常见的与年龄相关的灰质模式,显示双侧内侧额叶、岛/外围、前扣带以及双侧背外侧前额叶、外侧颞叶、顶叶和尾状脑区域的减少,在较小程度上,双侧小脑、颞极和右丘脑区域相对保留。结果表明,健康衰老与灰质萎缩的区域分布模式有关,该模式具有可重复的区域特征。尽管萎缩的网络模式包括顶叶、颞叶和皮层下区域,但在所有样本中,额叶脑区域的受累表现出最一致的广泛和可靠的减少。SSM VBM的网络分析可以帮助检测可重复的与年龄相关的MRI模式,有助于研究健康和病理衰老。
Healthy aging is associated with brain volume reductions that involve the frontal cortex, but also affect other brain regions. We sought to identify an age-related network pattern of MRI gray matter using a multivariate statistical model of regional covariance, the Scaled Subprofile Model (SSM) with voxel based morphometry (VBM) in 29 healthy adults, 23-84 years of age (Group 1). In addition, we evaluated the reproducibility of the age-related gray matter pattern derived from a prior SSM VBM study of 26 healthy adults, 22-77 years of age (Group 2) in relation to the current sample and tested the ability of the network analysis to extract an age-related pattern from both cohorts combined. The SSM VBM analysis of Group 1 identified a regional pattern of gray matter atrophy associated with healthy aging (R2=0.64, p<0.000001) that included extensive reductions in bilateral dorsolateral and medial frontal, anterior cingulate, insula/perisylvian, precuneus, parietotemporal, and caudate regions with areas of relative preservation in bilateral cerebellum, thalamus, putamen, mid cingulate, and temporal pole regions. The age-related SSM VBM gray matter pattern, previously reported for Group 2, was highly expressed in Group 1 (R2=0.52, p<0.00002). SSM analysis of the combined cohorts extracted a common age-related pattern of gray matter showing reductions involving bilateral medial frontal, insula/perisylvian, anterior cingulate and, to a lesser extent, bilateral dorsolateral prefrontal, lateral temporal, parietal, and caudate brain regions with relative preservation in bilateral cerebellum, temporal pole, and right thalamic regions. The results suggest that healthy aging is associated with a regionally distributed pattern of gray matter atrophy that has reproducible regional features. Whereas the network patterns of atrophy included parietal, temporal, and subcortical regions, involvement of the frontal brain regions showed the most consistently extensive and reliable reductions across samples. Network analysis with SSM VBM can help detect reproducible age-related MRI patterns, assisting efforts in the study of healthy and pathological aging.
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