State Key Laboratory of Cognitive Neuroscience and Learning and International Data Group/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China.
Department of Psychological Science, University of California, Irvine, CA 92697.
Proc Natl Acad Sci U S A. 2023 Aug 29;120(35):e2308951120. doi: 10.1073/pnas.2308951120. Epub 2023 Aug 21.
Individuals generally form their unique memories from shared experiences, yet the neural representational mechanisms underlying this subjectiveness of memory are poorly understood. The current study addressed this important question from the cross-subject neural representational perspective, leveraging a large functional magnetic resonance imaging dataset ( = 415) of a face-name associative memory task. We found that individuals' memory abilities were predicted by their synchronization to the group-averaged, canonical trial-by-trial activation level and, to a lesser degree, by their similarity to the group-averaged representational patterns during encoding. More importantly, the memory content shared between pairs of participants could be predicted by their shared local neural activation pattern, particularly in the angular gyrus and ventromedial prefrontal cortex, even after controlling for differences in memory abilities. These results uncover neural representational mechanisms for individualized memory and underscore the constructive nature of episodic memory.
个体通常从共同经历中形成独特的记忆,但记忆主观性的神经表示机制仍不清楚。本研究从跨主体神经表示的角度解决了这个重要问题,利用了一个大型功能性磁共振成像数据集(= 415)进行面孔-名字联想记忆任务。我们发现,个体的记忆能力可以通过他们与群体平均的、规范的试次间激活水平的同步来预测,在一定程度上也可以通过他们在编码过程中与群体平均表示模式的相似性来预测。更重要的是,即使在控制记忆能力差异后,参与者之间共享的记忆内容也可以通过他们共享的局部神经激活模式来预测,特别是在角回和腹内侧前额叶皮层。这些结果揭示了个体化记忆的神经表示机制,并强调了情景记忆的建构性质。