Age-Associated Patterns in Gray Matter Volume, Cerebral Perfusion and BOLD Oscillations in Children and Adolescents

Age-Associated Patterns in Gray Matter Volume, Cerebral Perfusion and BOLD Oscillations in Children and Adolescents
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DOI:
10.1002/hbm.23526
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发表时间:
2017-05-01
影响因子:
4.8
通讯作者:
Bray, Signe
Bray, Signe
中科院分区:
医学2区
文献类型:
--
作者:
Bray, Signe

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健康的大脑发育涉及大脑结构和功能的变化,这些变化被认为是支持认知成熟的。然而,了解结构变化(如灰质变薄)与功能变化之间的关系具有挑战性。为了深入了解发育中的结构-功能关系,本研究采用数据驱动的方法,在59名7-18岁的健康儿童中定义了与年龄相关的灰质体积(GMV)、脑血流量(CBF)和血氧水平依赖(BOLD)信号变化(低频波动的分数振幅; fALFF)的变化模式,并检查了模式之间的关系。主成分分析(PCA)被应用到每一种模式的平行,和参与者的分数的顶部组件进行了评估的年龄协会。我们发现CBF、GMV和fALFF的分解都包括分数与年龄显著相关的成分。GMV和CBF的主导模式显示出显着(GMV)或趋势水平(CBF)与年龄和强烈的空间重叠,在默认模式网络(DMN)区域的信号强度增加的驱动。GMV、CBF和fALFF还显示了占变异性3-5%的组分,具有显著的年龄相关性。然而,这些模式在空间上相对独立,模式之间有小到中度的重叠。年龄影响的独立性进一步证明了相关的个人主题地图之间的方式:CBF是显着的年龄较大的儿童相对于年轻的GMV和fALFF相关性较低。这些空间独立的年龄效应表明,在全球GMV和CBF观察到的平行下降可能不反映空间同步的过程。(C)2017年Wiley Periodicals,Inc.
Healthy brain development involves changes in brain structure and function that are believed to support cognitive maturation. However, understanding how structural changes such as grey matter thinning relate to functional changes is challenging. To gain insight into structure-function relationships in development, the present study took a data driven approach to define age-related patterns of variation in gray matter volume (GMV), cerebral blood flow (CBF) and blood-oxygen level dependent (BOLD) signal variation (fractional amplitude of low-frequency fluctuations; fALFF) in 59 healthy children aged 7-18 years, and examined relationships between modalities. Principal components analysis (PCA) was applied to each modality in parallel, and participant scores for the top components were assessed for age associations. We found that decompositions of CBF, GMV and fALFF all included components for which scores were significantly associated with age. The dominant patterns in GMV and CBF showed significant (GMV) or trend level (CBF) associations with age and a strong spatial overlap, driven by increased signal intensity in default mode network (DMN) regions. GMV, CBF and fALFF additionally showed components accounting for 3-5% of variability with significant age associations. However, these patterns were relatively spatially independent, with small-to-moderate overlap between modalities. Independence of age effects was further demonstrated by correlating individual subject maps between modalities: CBF was significantly less correlated with GMV and fALFF in older children relative to younger. These spatially independent effects of age suggest that the parallel decline observed in global GMV and CBF may not reflect spatially synchronized processes. (C) 2017 Wiley Periodicals, Inc.