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任务诱发网络中动态分配的枢纽预测猕猴情境记忆检索的易损前额叶位点

Dynamically Allocated Hub in Task-Evoked Network Predicts the Vulnerable Prefrontal Locus for Contextual Memory Retrieval in Macaques.

作者信息

Osada Takahiro, Adachi Yusuke, Miyamoto Kentaro, Jimura Koji, Setsuie Rieko, Miyashita Yasushi

机构信息

Department of Physiology, The University of Tokyo School of Medicine, Hongo, Bunkyo-ku, Tokyo, Japan; Department of Physiology, Juntendo University School of Medicine, Hongo, Bunkyo-ku, Tokyo, Japan.

Department of Physiology, The University of Tokyo School of Medicine, Hongo, Bunkyo-ku, Tokyo, Japan.

出版信息

PLoS Biol. 2015 Jun 30;13(6):e1002177. doi: 10.1371/journal.pbio.1002177. eCollection 2015 Jun.

Abstract

Neuroimaging and neurophysiology have revealed that multiple areas in the prefrontal cortex (PFC) are activated in a specific memory task, but severity of impairment after PFC lesions is largely different depending on which activated area is damaged. The critical relationship between lesion sites and impairments has not yet been given a clear mechanistic explanation. Although recent works proposed that a whole-brain network contains hubs that play integrative roles in cortical information processing, this framework relying on an anatomy-based structural network cannot account for the vulnerable locus for a specific task, lesioning of which would bring impairment. Here, we hypothesized that (i) activated PFC areas dynamically form an ordered network centered at a task-specific "functional hub" and (ii) the lesion-effective site corresponds to the "functional hub," but not to a task-invariant "structural hub." To test these hypotheses, we conducted functional magnetic resonance imaging experiments in macaques performing a temporal contextual memory task. We found that the activated areas formed a hierarchical hub-centric network based on task-evoked directed connectivity, differently from the anatomical network reflecting axonal projection patterns. Using a novel simulated-lesion method based on support vector machine, we estimated severity of impairment after lesioning of each area, which accorded well with a known dissociation in contextual memory impairment in macaques (impairment after lesioning in area 9/46d, but not in area 8Ad). The predicted severity of impairment was proportional to the network "hubness" of the virtually lesioned area in the task-evoked directed connectivity network, rather than in the anatomical network known from tracer studies. Our results suggest that PFC areas dynamically and cooperatively shape a functional hub-centric network to reallocate the lesion-effective site depending on the cognitive processes, apart from static anatomical hubs. These findings will be a foundation for precise prediction of behavioral impacts of damage or surgical intervention in human brains.

摘要

神经影像学和神经生理学研究表明,在特定的记忆任务中,前额叶皮层(PFC)的多个区域会被激活,但PFC损伤后功能障碍的严重程度在很大程度上取决于受损的是哪个激活区域。损伤部位与功能障碍之间的关键关系尚未得到明确的机制解释。尽管最近的研究提出,全脑网络包含在皮层信息处理中起整合作用的枢纽,但这个基于解剖结构网络的框架无法解释特定任务的易损位点,损伤该位点会导致功能障碍。在这里,我们假设:(i)被激活的PFC区域动态地形成一个以特定任务的“功能枢纽 ”为中心的有序网络;(ii)损伤有效位点对应于“功能枢纽”,而不是任务不变的“结构枢纽”。为了验证这些假设,我们对执行时间背景记忆任务的猕猴进行了功能磁共振成像实验。我们发现,激活区域基于任务诱发的定向连接形成了一个分层的以枢纽为中心的网络,这与反映轴突投射模式的解剖网络不同。使用基于支持向量机的新型模拟损伤方法,我们估计了每个区域损伤后的功能障碍严重程度,这与猕猴背景记忆障碍中已知的分离情况(9/46d区损伤后出现功能障碍,而8Ad区损伤后未出现)非常吻合。预测的功能障碍严重程度与任务诱发的定向连接网络中虚拟损伤区域的网络“枢纽性”成正比,而不是与示踪剂研究中已知的解剖网络成正比。我们的结果表明,PFC区域动态协同地塑造了一个以功能枢纽为中心的网络,以根据认知过程重新分配损伤有效位点,而不是依赖于静态的解剖枢纽。这些发现将为精确预测人类大脑损伤或手术干预的行为影响奠定基础。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3df7/4488377/12668a09ec33/pbio.1002177.g001.jpg

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