Connectomic consistency: a systematic stability analysis of structural and functional connectivity.
Connectomic consistency: a systematic stability analysis of structural and functional connectivity.
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DOI：
10.1088/1741-2552/ab947b
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发表时间：
2020-07-13
影响因子：
4
通讯作者：
Verma R
中科院分区：
文献类型：
--
作者：
Osmanlıoğlu Y;Alappatt JA;Parker D;Verma R
连接学是研究大脑连通性的学科，由于它提供了对大脑组织的洞察，它已经成为神经科学研究中不可或缺的工具。连接是使用不同的方式产生的，例如用于捕捉大脑结构组织的弥散磁共振成像或用于阐述大脑功能组织的功能磁共振成像。理解结构组织和功能组织之间的联系对于解释观察到的行为是如何从潜在的神经生物学机制中产生的至关重要。许多研究已经调查了这两个组织如何相互关联；然而，我们仍然缺乏对这两种模式在人与人之间以及单个人内部扫描时预期的差异程度的比较理解。在这项研究中，我们系统地分析了连接体的一致性，即连接体之间的相似性，即从大脑区域之间的单个连接和整体网络拓扑的角度来衡量连接之间的相似性。我们提出了一项对单个受试者的连接一致性的全面研究，该受试者分别在结构和功能上进行了横向和跨大群受试者的纵向检查。在结构连接中，我们比较了不同的跟踪算法、分割、边缘加权方案和边缘修剪技术生成的连接。在功能性连接中，我们分别比较了完全连接、正连接和负连接以及弱边缘的阈值。我们使用相关性(在单个边级别结合信息)和图匹配精度(在网络拓扑级评估连通性)来评估一致性。我们还检查了使用不同通信方案生成的连接的一致性。我们的结果显示了两种模式不同程度的一致性，结构连接比功能连接显示出更高的一致性。此外，我们观察到，根据连接是如何产生的，一致性存在很大的差异。我们的研究为连接体类型的一致性设置了一个参考点，这对于结构-功能耦合研究在评估不同模式之间的失配方面尤其重要。
Connectomics, the study of brain connectivity, has become an indispensable tool in neuroscientific research as it provides insights into brain organization. Connectomes are generated using different modalities such as diffusion MRI to capture structural organization of the brain or functional MRI to elaborate brain’s functional organization. Understanding links between structural and functional organizations is crucial in explaining how observed behavior emerges from the underlying neurobiological mechanisms. Many studies have investigated how these two organizations relate to each other; however, we still lack a comparative understanding on how much variation should be expected in the two modalities, both between people and within a single person across scans. In this study, we systematically analyzed the consistency of connectomes, that is the similarity between connectomes in terms of individual connections between brain regions and in terms of overall network topology. We present a comprehensive study of consistency in connectomes for a single subject examined longitudinally and across a large cohort of subjects cross-sectionally, in structure and function separately. Within structural connectomes, we compared connectomes generated by different tracking algorithms, parcellations, edge weighting schemes, and edge pruning techniques. In functional connectomes, we compared full, positive, and negative connectivity separately along with thresholding of weak edges. We evaluated consistency using correlation (incorporating information at the level of individual edges) and graph matching accuracy (evaluating connectivity at the level of network topology). We also examined the consistency of connectomes that are generated using different communication schemes. Our results demonstrate varying degrees of consistency for the two modalities, with structural connectomes showing higher consistency than functional connectomes. Moreover, we observed a wide variation in consistency depending on how connectomes are generated. Our study sets a reference point for consistency of connectome types, which is especially important for structure-function coupling studies in evaluating mismatches between modalities.
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影响因子：
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作者：
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影响因子：
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作者：
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通讯作者：
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影响因子：
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作者：
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通讯作者：
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影响因子：
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作者：
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