Barnett Alexander J, Reilly Walter, Dimsdale-Zucker Halle R, Mizrak Eda, Reagh Zachariah, Ranganath Charan
Center for Neuroscience, University of California at Davis, Davis, California, United States of America.
Department of Psychology, Columbia University, New York, New York, United States of America.
PLoS Biol. 2021 Jun 2;19(6):e3001275. doi: 10.1371/journal.pbio.3001275. eCollection 2021 Jun.
Episodic memory depends on interactions between the hippocampus and interconnected neocortical regions. Here, using data-driven analyses of resting-state functional magnetic resonance imaging (fMRI) data, we identified the networks that interact with the hippocampus-the default mode network (DMN) and a "medial temporal network" (MTN) that included regions in the medial temporal lobe (MTL) and precuneus. We observed that the MTN plays a critical role in connecting the visual network to the DMN and hippocampus. The DMN could be further divided into 3 subnetworks: a "posterior medial" (PM) subnetwork comprised of posterior cingulate and lateral parietal cortices; an "anterior temporal" (AT) subnetwork comprised of regions in the temporopolar and dorsomedial prefrontal cortex; and a "medial prefrontal" (MP) subnetwork comprised of regions primarily in the medial prefrontal cortex (mPFC). These networks vary in their functional connectivity (FC) along the hippocampal long axis and represent different kinds of information during memory-guided decision-making. Finally, a Neurosynth meta-analysis of fMRI studies suggests new hypotheses regarding the functions of the MTN and DMN subnetworks, providing a framework to guide future research on the neural architecture of episodic memory.
情景记忆依赖于海马体与相互连接的新皮质区域之间的相互作用。在此,我们通过对静息态功能磁共振成像(fMRI)数据进行数据驱动分析,确定了与海马体相互作用的网络——默认模式网络(DMN)和一个“内侧颞叶网络”(MTN),该网络包括内侧颞叶(MTL)和楔前叶的区域。我们观察到,MTN在将视觉网络与DMN及海马体连接方面起着关键作用。DMN可进一步分为3个子网络:一个由后扣带回和外侧顶叶皮质组成的“后内侧”(PM)子网络;一个由颞极和背内侧前额叶皮质区域组成的“前颞”(AT)子网络;以及一个主要由内侧前额叶皮质(mPFC)区域组成的“内侧前额叶”(MP)子网络。这些网络在沿海马体长轴的功能连接性(FC)方面存在差异,并且在记忆引导的决策过程中代表不同类型的信息。最后,一项关于fMRI研究的Neurosynth荟萃分析提出了关于MTN和DMN子网络功能的新假设,为指导未来情景记忆神经结构的研究提供了一个框架。