Heritability of individualized cortical network topography.

Heritability of individualized cortical network topography.
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DOI:
10.1073/pnas.2016271118
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发表时间:
2021-03-02
影响因子:
11.1
通讯作者:
Holmes AJ
Holmes AJ
中科院分区:
综合性期刊1区
文献类型:
--
作者:
Anderson KM;Ge T;Kong R;Patrick LM;Spreng RN;Sabuncu MR;Yeo BTT;Holmes AJ

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人口平均皮质包块的广泛使用为人类大脑组织的广泛特性提供了重要的见解。然而,组成功能性大脑网络的区域的大小、位置和空间排列在个体之间可能存在很大差异。在这里,我们证明了相当大的遗传在大小和空间组织的个体特异性网络地形横跨皮层。遗传因素对大脑组织的影响具有区域差异,例如,相对于异模态皮质,单模态皮质的网络大小遗传力更大,而不是地形遗传力。这些数据表明,个体特定的网络分割可能为理解人类认知和行为变异的遗传基础提供了一条途径。人类的大脑皮层是由一个复杂的、相互交织的大规模功能网络构成的。最近在方法上的突破揭示了个体间皮质网络的大小、形状和空间地形的变化。虽然空间网络组织在整个发展过程中出现,随着时间的推移而稳定,并且可以预测行为,但目前尚不清楚遗传因素在多大程度上影响了网络地形的个体间差异。在这里,利用遗传力的非线性多维估计,我们提供的证据表明,皮质网络的大小和地形组织的个体差异是受遗传控制的。利用来自人类连接组项目(n = 1,023)的双胞胎和家庭数据,我们发现,相对于单峰感觉/运动皮层(h2: M = 0.40, SD = 0.097),异模关联网络(h2: M = 0.34, SD = 0.070)的大小变异性增加,遗传性降低。然后,我们利用我们对遗传力的多维估计(h2-multi; M = 0.14, SD = 0.015)证明了皮质网络的空间布局受到遗传的影响。然而,地形遗传力在异模网络和单模网络之间没有差异。遗传因素对脑组织的影响具有区域差异,例如网络地形的遗传性在前额叶、楔前叶和后顶叶皮层最大。综上所述,这些数据与关联皮层相对于初级感觉/运动区域的宽松遗传控制相一致,并对理解脑功能的人群水平变动性具有重要意义,指导个性化预测和遗传学和神经影像学综合分析的解释。
The widespread use of population-average cortical parcellations has provided important insights into broad properties of human brain organization. However, the size, location, and spatial arrangement of regions comprising functional brain networks can vary substantially across individuals. Here, we demonstrate considerable heritability in both the size and spatial organization of individual-specific network topography across cortex. Genetic factors had a regionally variable influence on brain organization, such that heritability in network size, but not topography, was greater in unimodal relative to heteromodal cortices. These data suggest individual-specific network parcellations may provide an avenue to understand the genetic basis of variation in human cognition and behavior. Human cortex is patterned by a complex and interdigitated web of large-scale functional networks. Recent methodological breakthroughs reveal variation in the size, shape, and spatial topography of cortical networks across individuals. While spatial network organization emerges across development, is stable over time, and is predictive of behavior, it is not yet clear to what extent genetic factors underlie interindividual differences in network topography. Here, leveraging a nonlinear multidimensional estimation of heritability, we provide evidence that individual variability in the size and topographic organization of cortical networks are under genetic control. Using twin and family data from the Human Connectome Project (n = 1,023), we find increased variability and reduced heritability in the size of heteromodal association networks (h2: M = 0.34, SD = 0.070), relative to unimodal sensory/motor cortex (h2: M = 0.40, SD = 0.097). We then demonstrate that the spatial layout of cortical networks is influenced by genetics, using our multidimensional estimation of heritability (h2-multi; M = 0.14, SD = 0.015). However, topographic heritability did not differ between heteromodal and unimodal networks. Genetic factors had a regionally variable influence on brain organization, such that the heritability of network topography was greatest in prefrontal, precuneus, and posterior parietal cortex. Taken together, these data are consistent with relaxed genetic control of association cortices relative to primary sensory/motor regions and have implications for understanding population-level variability in brain functioning, guiding both individualized prediction and the interpretation of analyses that integrate genetics and neuroimaging.
DOI: 10.1016/j.neuron.2019.07.009
发表时间: 2019-09-25
期刊: NEURON
影响因子: 16.2
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影响因子: 6.3
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发表时间: 2019-04-30
影响因子: 11.1
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发表时间: 2020-04-22
期刊: NEURON
影响因子: 16.2
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