Center for Cognition and Brain Disorders, Hangzhou Normal University, Room 301, No. 19, Shuyuan Building, No. 2318, Yuhangtang Rd, Hangzhou 311121, China.
Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou, China.
Eur J Neurosci. 2018 Mar;47(5):388-398. doi: 10.1111/ejn.13828. Epub 2018 Feb 8.
The default-mode network (DMN) has been reported to comprise a set of inter-connected transmodal cortical areas, including the posterior cingulate cortex (PCC), medial prefrontal cortex, posterior inferior parietal lobule, lateral temporal region and others. However, the subcortical constituents of the DMN are still not clear. This study aimed to examine whether the correlation maps derived from subcortical structures may also account for neural pattern of the DMN. Structural magnetic resonance imaging (MRI) and resting-state functional MRI scans of 36 subjects were selected from the Rockland sample (Nathan Kline Institute). The hippocampus and thalamus were chosen as subcortical regions of interest (ROIs). Each ROI was partitioned into composite modules which in turn provided simplified and representative dynamics of blood-oxygen-level-dependent (BOLD) signals. PCC-seeded and ROI-based correlation maps were compared by conjunction analyses and paired t-tests (corrected P < 0.05). Our results unveiled that the hippocampus-, thalamus- and PCC-centred correlation patterns actually overlapped to a substantial degree. Integrating the signals in the thalamus and hippocampus altogether fully explained the PCC-seeded DMN. Supplementary analyses based on the BOLD dynamics in several subcortical nuclei (caudate, putamen and globus pallidus) were dissimilar to the DMN. The DMN derived from the ROI/seed-based approach may represent combined limbic and region-specific informatics (and their closely interacting neural substrates). The possible causes for previous methods of task-induced deactivation and seed-based correlation that failed to depict the holistic limbic picture are discussed. The neocortical manifestation of DMN may reflect the limbic information in the transmodal brain regions.
默认模式网络(DMN)已被报道由一组相互连接的跨模态皮质区域组成,包括后扣带回皮质(PCC)、内侧前额叶皮质、后下顶叶、外侧颞叶等。然而,DMN 的皮质下成分仍不清楚。本研究旨在探讨来自皮质下结构的相关图是否也可以解释 DMN 的神经模式。从罗克兰样本(Nathan Kline Institute)中选择了 36 名受试者的结构磁共振成像(MRI)和静息态功能 MRI 扫描。选择海马体和丘脑作为皮质下感兴趣区(ROI)。每个 ROI 被分为复合模块,这些模块反过来提供了简化和代表性的血氧水平依赖(BOLD)信号动力学。通过联合分析和配对 t 检验(校正后的 P < 0.05)比较 PCC 种子和 ROI 基础的相关图。我们的结果表明,海马体、丘脑和 PCC 为中心的相关模式实际上在很大程度上重叠。整合丘脑和海马体的信号可以完全解释 PCC 种子的 DMN。基于几个皮质下核(尾状核、壳核和苍白球)的 BOLD 动力学的补充分析与 DMN 不同。基于 ROI/种子的方法得出的 DMN 可能代表了边缘和区域特异性信息(及其密切相互作用的神经基质)的组合。讨论了以前的任务诱导去激活和种子相关方法未能描绘整体边缘图的可能原因。DMN 的新皮质表现可能反映了跨模态大脑区域中的边缘信息。