Constituents and functional implications of the rat default mode network
Constituents and functional implications of the rat default mode network
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DOI：
10.1073/pnas.1601485113
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发表时间：
2016-08-02
影响因子：
11.1
通讯作者：
Yang, Yihong
中科院分区：
文献类型：
--
作者：
Hsu, Li-Ming;Liang, Xia;Yang, Yihong
默认模式网络(DMN)被认为支持人类的各种自我参照功能，并根据对认知任务的不同反应和功能连接结构被细分为不同的子系统。这样的子系统被认为反映了网络中的功能等级和隔离。由于临床前模型可以为神经精神障碍的翻译研究提供信息，以前没有报道的非人类物种中DMN的分割可能会为人类DMN的生理学和病理生理学提供信息。在这项研究中，我们试图使用静息状态功能磁共振成像(Rs-fMRI)和扩散张量成像来识别大鼠DMN的成分。在对RS-fMRI数据进行组级独立成分分析确定DMN后，模块化分析将DMN细分为前部和后部子系统，并进一步将其分为五个模块。弥散张量成像纤维束成像证实了纤维密度与DMN区域之间的功能连接之间的密切关系，并为所检测到的DMN亚系统提供了解剖学证据。最后，使用神经认知老化模型，在这些DMN亚组分内部和之间发现了明显的调制。综上所述，这些结果表明，与人类的DMN一样，大鼠的DMN可以被划分为几个可能支持不同功能的亚组件。这些数据鼓励在正常和疾病状态的临床前模型中进一步研究DMN处理的神经生物学机制。
The default mode network (DMN) has been suggested to support a variety of self-referential functions in humans and has been fractionated into subsystems based on distinct responses to cognitive tasks and functional connectivity architecture. Such subsystems are thought to reflect functional hierarchy and segregation within the network. Because preclinical models can inform translational studies of neuropsychiatric disorders, partitioning of the DMN in nonhuman species, which has previously not been reported, may inform both physiology and pathophysiology of the human DMN. In this study, we sought to identify constituents of the rat DMN using resting-state functional MRI (rs-fMRI) and diffusion tensor imaging. After identifying DMN using a group-level independent-component analysis on the rs-fMRI data, modularity analyses fractionated the DMN into an anterior and a posterior subsystem, which were further segregated into five modules. Diffusion tensor imaging tractography demonstrates a close relationship between fiber density and the functional connectivity between DMN regions, and provides anatomical evidence to support the detected DMN subsystems. Finally, distinct modulation was seen within and between these DMN subcomponents using a neurocognitive aging model. Taken together, these results suggest that, like the human DMN, the rat DMN can be partitioned into several subcomponents that may support distinct functions. These data encourage further investigation into the neurobiological mechanisms of DMN processing in preclinical models of both normal and disease states.