Staresina Bernhard P, Michelmann Sebastian, Bonnefond Mathilde, Jensen Ole, Axmacher Nikolai, Fell Juergen
School of Psychology, University of Birmingham, Birmingham, United Kingdom.
Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen, Nijmegen, Netherlands.
Elife. 2016 Aug 10;5:e17397. doi: 10.7554/eLife.17397.
How do we retrieve vivid memories upon encountering a simple cue? Computational models suggest that this feat is accomplished by pattern completion processes involving the hippocampus. However, empirical evidence for hippocampal pattern completion and its underlying mechanisms has remained elusive. Here, we recorded direct intracranial EEG as human participants performed an associative memory task. For each study (encoding) and test (retrieval) event, we derived time-frequency resolved representational patterns in the hippocampus and compared the extent of pattern reinstatement for different mnemonic outcomes. Results show that successful associative recognition (AR) yields enhanced event-specific reinstatement of encoding patterns compared to non-associative item recognition (IR). Moreover, we found that gamma power (50-90 Hz) increases - in conjunction with alpha power (8-12 Hz) decreases not only distinguish AR from IR, but also correlate with the level of hippocampal reinstatement. These results link single-shot hippocampal pattern completion to episodic recollection and reveal how oscillatory dynamics in the gamma and alpha bands orchestrate these mnemonic processes.
当遇到一个简单线索时,我们如何唤起生动的记忆?计算模型表明,这一壮举是通过涉及海马体的模式完成过程来实现的。然而,海马体模式完成及其潜在机制的实证证据仍然难以捉摸。在这里,我们在人类参与者执行联想记忆任务时记录了直接颅内脑电图。对于每个学习(编码)和测试(检索)事件,我们在海马体中得出了时间频率分辨的表征模式,并比较了不同记忆结果的模式恢复程度。结果表明,与非联想项目识别(IR)相比,成功的联想识别(AR)会增强编码模式的特定事件恢复。此外,我们发现伽马功率(50 - 90赫兹)增加——同时阿尔法功率(8 - 12赫兹)降低,不仅能区分AR和IR, 而且与海马体重建水平相关。这些结果将单次海马体模式完成与情景回忆联系起来,并揭示了伽马和阿尔法波段的振荡动力学如何协调这些记忆过程。