Identifying brain networks in synaptic density PET ((11)C-UCB-J) with independent component analysis.
Identifying brain networks in synaptic density PET ((11)C-UCB-J) with independent component analysis.
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DOI：
10.1016/j.neuroimage.2021.118167
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发表时间：
2021-08-15
期刊：
影响因子：
5.7
通讯作者：
Carson RE
中科院分区：
文献类型：
--
作者：
Fang XT;Toyonaga T;Hillmer AT;Matuskey D;Holmes SE;Radhakrishnan R;Mecca AP;van Dyck CH;D'Souza DC;Esterlis I;Worhunsky PD;Carson RE
人类大脑天生就被组织成不同的网络，正如静息态功能磁共振成像（rs-fMRI）所广泛报道的那样，这是基于血氧水平依赖（BOLD）信号波动的。11 C-UCB-J PET通过突触囊泡蛋白2A绘制突触密度，这是比BOLD rs-fMRI更直接的脑网络结构测量。本研究的目的是确定最大程度独立的脑源网络，即，“受试者之间具有共同协方差的空间模式”，在11 C-UCB-J数据中使用独立成分分析（伊卡），一种数据驱动的分析方法。使用80名健康对照人群，我们将伊卡应用于两个40个样本的子集，并比较了样本之间的源网络复制。我们在多个模型阶数下检查了已识别的源网络，因为最大独立分量（IC）的理想数量是未知的。此外，我们还研究了每个源网络的负载权重的强度与年龄和性别之间的关系。13个源网络在两个样本中复制。我们确定，18个组件的模型阶数提供了稳定的、可复制的组件，而高于18的估计是不稳定的。在两个IC中发现了性别效应。9个IC显示出与年龄相关的变化，经多重比较校正后，4个仍显着。这项研究提供了第一个证据，人类大脑突触密度可以被表征为有组织的协方差模式。此外，我们证明了多个突触密度源网络与年龄相关，这支持伊卡识别生物相关突触密度源网络的潜在效用。
The human brain is inherently organized into distinct networks, as reported widely by resting-state functional magnetic resonance imaging (rs-fMRI), which are based on blood-oxygen-level-dependent (BOLD) signal fluctuations. 11C-UCB-J PET maps synaptic density via synaptic vesicle protein 2A, which is a more direct structural measure underlying brain networks than BOLD rs-fMRI. The aim of this study was to identify maximally independent brain source networks, i.e., “spatial patterns with common covariance across subjects”, in 11C-UCB-J data using independent component analysis (ICA), a data-driven analysis method. Using a population of 80 healthy controls, we applied ICA to two 40-sample subsets and compared source network replication across samples. We examined the identified source networks at multiple model orders, as the ideal number of maximally independent components (IC) is unknown. In addition we investigated the relationship between the strength of the loading weights for each source network and age and sex. Thirteen source networks replicated across both samples. We determined that a model order of 18 components provided stable, replicable components, whereas estimations above 18 were not stable. Effects of sex were found in two ICs. Nine ICs showed age-related change, with 4 remaining significant after correction for multiple comparison. This study provides the first evidence that human brain synaptic density can be characterized into organized covariance patterns. Furthermore, we demonstrated that multiple synaptic density source networks are associated with age, which supports the potential utility of ICA to identify biologically relevant synaptic density source networks.
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影响因子：
11
作者：
D'Souza, Deepak Cyril;Radhakrishnan, Rajiv;Skosnik, Patrick
通讯作者：
Skosnik, Patrick
影响因子：
17.1
作者：
Finnema, Sjoerd J.;Nabulsi, Nabeel B.;Carson, Richard E.
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Carson, Richard E.
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影响因子：
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通讯作者：
Kiviniemi, Vesa
影响因子：
29
作者：
Chen, Ming-Kai;Mecca, Adam P.;van Dyck, Christopher H.
通讯作者：
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