Liu Qiuyi, Li Siyang, Sun Lili, Li Zhipeng, Ren Peng, Ding Wencai, Bao Hongbo, Liang Xia
School of Life Science and Technology, HIT Faculty of Life Science and Medicine, Harbin Institute of Technology, Harbin 150001, China; Research Center for Social Computing and Interactive Robotics, Harbin Institute of Technology, Harbin 150001, China.
Zhejiang Lab, Hangzhou, Zhejiang 311100, China.
Neuroimage. 2025 Jun 16;317:121328. doi: 10.1016/j.neuroimage.2025.121328.
Humans naturally divide their continuous experiences into discrete events, with event boundaries playing a critical role in this segmentation process. These boundaries are marked by significant shifts in brain activity, particularly in the hippocampal complex (HPC) and default mode network (DMN), which are key to learning and memory formation. We hypothesized that neural event boundaries in specific HPC-DMN regions contribute to episode recollection through across-boundary BOLD pattern shifts and neural event network formation, which may be influenced by two factors: network integration and boundary alignment. To test this, we used the widely recognized Sherlock fMRI dataset, which involves 22 human participants (17 subjects were used in this study). One key finding was that across-boundary BOLD pattern dissimilarity in the inferior parietal lobule (IPL) was greater for successfully recalled events compared to unsuccessful ones, specifically at boundaries with a high participation coefficient (indicative of high integration) or those aligned with the anterior superior temporal gyrus (aSTG) or the ventrolateral prefrontal cortex (vlPFC). Moreover, the entorhinal cortex played a crucial role in linking events into a network to facilitate subsequent recollection, particularly at boundaries with low participation coefficients or those aligned with the parahippocampus (PHC). These findings highlight the vital role of neural event boundaries in aiding comprehension and memory in naturalistic contexts through interactions with other brain regions.
人类自然地将他们连续的经历划分为离散的事件,事件边界在这一分段过程中起着关键作用。这些边界以大脑活动的显著变化为标志,特别是在海马复合体(HPC)和默认模式网络(DMN)中,它们是学习和记忆形成的关键。我们假设特定HPC-DMN区域中的神经事件边界通过跨边界的血氧水平依赖(BOLD)模式变化和神经事件网络形成来促进情节回忆,这可能受两个因素影响:网络整合和边界对齐。为了验证这一点,我们使用了广为人知的福尔摩斯功能磁共振成像(fMRI)数据集,该数据集涉及22名人类参与者(本研究使用了其中17名受试者)。一个关键发现是,与未成功回忆的事件相比,成功回忆的事件在顶下小叶(IPL)中的跨边界BOLD模式差异更大,特别是在具有高参与系数(表明高整合度)的边界处,或者与颞上回前部(aSTG)或腹外侧前额叶皮层(vlPFC)对齐的边界处。此外,内嗅皮层在将事件连接成一个网络以促进后续回忆方面起着关键作用,特别是在参与系数较低的边界处,或者与海马旁回(PHC)对齐的边界处。这些发现突出了神经事件边界在自然情境中通过与其他脑区的相互作用来辅助理解和记忆的重要作用。