Dynamic neural networks supporting memory retrieval.
Dynamic neural networks supporting memory retrieval.
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DOI：
10.1016/j.neuroimage.2011.04.039
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发表时间：
2011-07-15
期刊：
影响因子：
5.7
通讯作者：
Rubin, David C.
中科院分区：
文献类型：
--
作者：
St Jacques, Peggy L.;Kragel, Philip A.;Rubin, David C.
关键词：
独立的神经网络如何相互作用来支持复杂的认知过程，如对个人过去的记忆？自传体记忆(AM)提取招募了一种一致的激活模式，这可能包括多个神经网络。然而，目前还不清楚这种大规模神经网络是如何相互作用的，并受到记忆提取过程的特性的调节。在目前的功能磁共振成像(FMRI)研究中，我们结合了独立成分分析(ICA)和动态因果建模(DCM)来理解支持AM检索的神经网络。ICA揭示了四个与任务相关的成分：1)与自我参照过程相关的内侧前额叶(PFC)网络，2)与记忆相关的内侧颞叶(MTL)网络，3)与策略性搜索相关的额顶网络，以及4)与目标维持相关的扣带回网络。DCM分析显示，内侧PFC网络驱动了系统内的激活，这与该网络对AM提取的重要性一致。此外，记忆的可获得性和回忆独一无二地改变了这些神经网络之间的连接。在精化过程中，回忆调节了中间PFC对MTL网络的影响，表明默认网络的子系统之间更大的连通性支持更大的重新体验。相反，记忆可及性调制了额顶和MTL网络对内侧PFC网络的影响，这表明提取的容易涉及到有助于AM的多个网络之间的更大流畅性这些结果表明支持AM检索的神经网络与行为对网络连通性的调节之间的整合。
How do separate neural networks interact to support complex cognitive processes such as remembrance of the personal past? Autobiographical memory (AM) retrieval recruits a consistent pattern of activation that potentially comprises multiple neural networks. However, it is unclear how such large-scale neural networks interact and are modulated by properties of the memory retrieval process. In the present functional MRI (fMRI) study, we combined independent component analysis (ICA) and dynamic causal modeling (DCM) to understand the neural networks supporting AM retrieval. ICA revealed four task-related components consistent with the previous literature: 1) Medial Prefrontal Cortex (PFC) Network, associated with self-referential processes, 2) Medial Temporal Lobe (MTL) Network, associated with memory, 3) Frontoparietal Network, associated with strategic search, and 4) Cingulooperculum Network, associated with goal maintenance. DCM analysis revealed that the medial PFC network drove activation within the system, consistent with the importance of this network to AM retrieval. Additionally, memory accessibility and recollection uniquely altered connectivity between these neural networks. Recollection modulated the influence of the medial PFC on the MTL network during elaboration, suggesting that greater connectivity among subsystems of the default network supports greater re-experience. In contrast, memory accessibility modulated the influence of frontoparietal and MTL networks on the medial PFC network, suggesting that ease of retrieval involves greater fluency among the multiple networks contributing to AM. These results show the integration between neural networks supporting AM retrieval and the modulation of network connectivity by behavior.
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