Division of Psychiatry Research, Zucker Hillside Hospital, Glen Oaks, New York, 11004, USA.
Institute for Behavioral Science, The Feinstein Institutes for Medical Research, Manhasset, New York, 11030, USA.
Cereb Cortex. 2021 May 10;31(6):2834-2844. doi: 10.1093/cercor/bhaa391.
Recent efforts to evaluate the heritability of the brain's functional connectome have predominantly focused on static connectivity. However, evaluating connectivity changes across time can provide valuable insight about the inherent dynamic nature of brain function. Here, the heritability of Human Connectome Project resting-state fMRI data was examined to determine whether there is a genetic basis for dynamic fluctuations in functional connectivity. The dynamic connectivity variance, in addition to the dynamic mean and standard static connectivity, was evaluated. Heritability was estimated using Accelerated Permutation Inference for the ACE (APACE), which models the additive genetic (h2), common environmental (c2), and unique environmental (e2) variance. Heritability was moderate (mean h2: dynamic mean = 0.35, dynamic variance = 0.45, and static = 0.37) and tended to be greater for dynamic variance compared to either dynamic mean or static connectivity. Further, heritability of dynamic variance was reliable across both sessions for several network connections, particularly between higher-order cognitive and visual networks. For both dynamic mean and static connectivity, similar patterns of heritability were found across networks. The findings support the notion that dynamic connectivity is genetically influenced. The flexibility of network connections, not just their strength, is a heritable endophenotype that may predispose trait behavior.
最近，人们主要致力于评估大脑功能连接组的遗传性，重点关注静态连接。然而，评估随时间变化的连接性可以提供有关大脑功能固有动态性质的有价值的见解。在这里，评估了人类连接组计划静息状态 fMRI 数据的遗传性，以确定功能连接的动态波动是否存在遗传基础。除了动态均值和静态连接的标准静态连接之外，还评估了动态连接方差。使用 ACE（APACE）的加速置换推断来估计遗传性，该模型考虑了加性遗传（h2）、共同环境（c2）和独特环境（e2）方差。遗传性为中等（动态均值的平均 h2=0.35，动态方差=0.45，静态=0.37），与动态均值或静态连接相比，动态方差的遗传性往往更大。此外，对于几个网络连接，动态方差的遗传性在两个会话中均可靠，特别是在高阶认知和视觉网络之间。对于动态均值和静态连接，网络之间都存在相似的遗传性模式。这些发现支持了动态连接受遗传影响的观点。网络连接的灵活性，而不仅仅是其强度，是一种遗传的表型，可能使特征行为易于发生。
