小脑-皮质结构协方差模式反映了感觉运动和认知网络的解剖连通性。

IF 3.5 2区 医学 Q1 NEUROIMAGING
Zaki Alasmar, M. Mallar Chakravarty, Virginia B. Penhune, Christopher J. Steele
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引用次数: 0

摘要

皮层和小脑通过相互的输入/输出投射紧密相连,形成隔离的电路。这些回路分别连接小脑前叶和感觉运动区,连接小腿I和小腿II小叶和前额叶区。这种不同的连通性模式导致了这样的假设,即结构上的个体差异应该是相关的,特别是在连接区域。为了验证这一假设,我们检查了小脑前感觉运动小叶和外侧认知小叶的体积与整个大脑皮层厚度(CT)和表面积(SA)测量之间的共变,样本来自HCP数据集的270名年轻人。我们观察到小脑-皮质协方差的模式在感觉运动网络和认知网络之间存在差异。小脑前运动小叶与皮层感觉运动区域的协方差较大,而小腿1和小腿2小叶与额叶和颞叶区域的协方差较大。有趣的是,小脑体积与CT呈显著负相关,与SA呈显著正相关。SA的个体差异被认为在很大程度上受遗传控制,而CT则被认为受经验影响更大。这表明SA的小脑-皮质共变可能是一个更稳定的特征,而CT的共变可能更多地受到发育的影响。此外,相似性指标显示,协方差模式显示感觉运动小叶和认知小叶之间的逐渐过渡,与小脑内功能梯度的证据一致。综上所述,这些发现与小脑和皮层之间结构和功能连接的已知模式是一致的。他们还揭示了小脑体积与皮质厚度和表面积之间可能存在的不同关系。最后,我们的发现与互动专业化框架一致,该框架提出结构和功能连接的大脑区域是协调发展的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Patterns of Cerebellar–Cortical Structural Covariance Mirror Anatomical Connectivity of Sensorimotor and Cognitive Networks

Patterns of Cerebellar–Cortical Structural Covariance Mirror Anatomical Connectivity of Sensorimotor and Cognitive Networks

The cortex and cerebellum are densely connected through reciprocal input/output projections that form segregated circuits. These circuits are shown to differentially connect anterior lobules of the cerebellum to sensorimotor regions, and lobules Crus I and II to prefrontal regions. This differential connectivity pattern leads to the hypothesis that individual differences in structure should be related, especially for connected regions. To test this hypothesis, we examined covariation between the volumes of anterior sensorimotor and lateral cognitive lobules of the cerebellum and measures of cortical thickness (CT) and surface area (SA) across the whole brain in a sample of 270 young adults drawn from the HCP dataset. We observed that patterns of cerebellar–cortical covariance differed between sensorimotor and cognitive networks. Anterior motor lobules of the cerebellum showed greater covariance with sensorimotor regions of the cortex, while lobules Crus I and Crus II showed greater covariance with frontal and temporal regions. Interestingly, cerebellar volume showed predominantly negative relationships with CT and predominantly positive relationships with SA. Individual differences in SA are thought to be largely under genetic control while CT is thought to be more malleable by experience. This suggests that cerebellar–cortical covariation for SA may be a more stable feature, whereas covariation for CT may be more affected by development. Additionally, similarity metrics revealed that the pattern of covariance showed a gradual transition between sensorimotor and cognitive lobules, consistent with evidence of functional gradients within the cerebellum. Taken together, these findings are consistent with known patterns of structural and functional connectivity between the cerebellum and cortex. They also shed new light on possibly differing relationships between cerebellar volume and cortical thickness and surface area. Finally, our findings are consistent with the interactive specialization framework which proposes that structurally and functionally connected brain regions develop in concert.

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来源期刊
Human Brain Mapping
Human Brain Mapping 医学-核医学
CiteScore
8.30
自引率
6.20%
发文量
401
审稿时长
3-6 weeks
期刊介绍: Human Brain Mapping publishes peer-reviewed basic, clinical, technical, and theoretical research in the interdisciplinary and rapidly expanding field of human brain mapping. The journal features research derived from non-invasive brain imaging modalities used to explore the spatial and temporal organization of the neural systems supporting human behavior. Imaging modalities of interest include positron emission tomography, event-related potentials, electro-and magnetoencephalography, magnetic resonance imaging, and single-photon emission tomography. Brain mapping research in both normal and clinical populations is encouraged. Article formats include Research Articles, Review Articles, Clinical Case Studies, and Technique, as well as Technological Developments, Theoretical Articles, and Synthetic Reviews. Technical advances, such as novel brain imaging methods, analyses for detecting or localizing neural activity, synergistic uses of multiple imaging modalities, and strategies for the design of behavioral paradigms and neural-systems modeling are of particular interest. The journal endorses the propagation of methodological standards and encourages database development in the field of human brain mapping.
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