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首页> 美国卫生研究院文献>Journal of Neurophysiology >Neural Circuits: Parallel distributed networks resolved at high resolution reveal close juxtaposition of distinct regions
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Neural Circuits: Parallel distributed networks resolved at high resolution reveal close juxtaposition of distinct regions

机译：神经回路：以高分辨率解析的并行分布式网络揭示了不同区域的紧密并置

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Examination of large-scale distributed networks within the individual reveals details of cortical network organization that are absent in group-averaged studies. One recent discovery is that a distributed transmodal network, often referred to as the “default network,” comprises two closely interdigitated networks, only one of which is coupled to posterior parahippocampal cortex. Not all studies of individuals have identified the same networks, and questions remain about the degree to which the two networks are separate, particularly within regions hypothesized to be interconnected hubs. In this study we replicate the observation of network separation across analytical (seed-based connectivity and parcellation) and data projection (volume and surface) methods in two individuals each scanned 31 times. Additionally, three individuals were examined with high-resolution (7T; 1.35 mm) functional magnetic resonance imaging to gain further insight into the anatomical details. The two networks were identified with separate regions localized to adjacent portions of the cortical ribbon, sometimes inside the same sulcus. Midline regions previously implicated as hubs revealed near complete spatial separation of the two networks, displaying a complex spatial topography in the posterior cingulate and precuneus. The network coupled to parahippocampal cortex also revealed a separate region directly within the hippocampus, at or near the subiculum. These collective results support that the default network is composed of at least two spatially juxtaposed networks. Fine spatial details and juxtapositions of the two networks can be identified within individuals at high resolution, providing insight into the network organization of association cortex and placing further constraints on interpretation of group-averaged neuroimaging data.>NEW & NOTEWORTHY Recent evidence has emerged that canonical large-scale networks such as the “default network” fractionate into parallel distributed networks when defined within individuals. This research uses high-resolution imaging to show that the networks possess juxtapositions sometimes evident inside the same sulcus and within regions that have been previously hypothesized to be network hubs. Distinct circumscribed regions of one network were also resolved in the hippocampal formation, at or near the parahippocampal cortex and subiculum.
机译：对个体内的大规模分布式网络的检查揭示了分组平均研究中缺少的皮质网络组织的细节。最近的一项发现是，分布式跨模式网络（通常称为“默认网络”）包括两个紧密交叉的网络，其中只有一个与后海马旁皮质相连。并非所有针对个人的研究都确定了相同的网络，并且关于这两个网络分开的程度仍存在疑问，尤其是在假设是相互连接的集线器的区域内。在这项研究中，我们在两个分别扫描31次的个体中，通过分析（基于种子的连接和分解）和数据投影（体积和表面）方法复制了网络分离的观察结果。此外，对三人进行了高分辨率（7T； 1.35毫米）功能磁共振成像检查，以进一步了解解剖学细节。鉴定出两个网络具有位于皮质带的相邻部分的分离区域，有时位于同一沟内。以前与集线器有关的中线区域显示出两个网络的空间完全分离，在后扣带和前突中显示出复杂的空间形貌。耦合到海马旁皮质的网络还显示出一个直接位于海马内，下丘脑附近或附近的独立区域。这些综合结果支持默认网络由至少两个在空间上并置的网络组成。可以在个人内部以高分辨率识别出两个网络的精细空间细节和并列位置，从而提供对关联皮层的网络组织的洞察力，并进一步限制了对组平均神经影像数据的解释。> NEW＆NOTEWORTHY 最近出现的证据表明，当在个人中定义时，诸如“默认网络”之类的规范性大型网络会分成并行的分布式网络。这项研究使用高分辨率成像来显示网络具有并列的位置，这些位置有时在相同的沟内以及以前被假定为网络集线器的区域内显而易见。在海马旁，海马旁皮质和下丘脑或附近的海马结构中，一个网络的不同边界区域也得以分辨。

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