Department of Psychology, Psychology and Neuroscience of Cognition Research Unit, University of Liège, Liège, Belgium.
GIGA-CRC In Vivo Imaging, University of Liège, Liège, Belgium.
Cereb Cortex. 2018 Nov 1;28(11):4023-4035. doi: 10.1093/cercor/bhx270.
Episodic memories are typically composed of perceptual information derived from the external environment and representations of internal states (e.g., one's thoughts during prior episodes). To date, however, research has mostly focused on the remembrance of external stimuli, such that little is known about how internal mentation is represented within episodic memory. In the present fMRI study, we examined the neural correlates of these 2 components of episodic memories using a novel method of cuing memories from photographs taken during real-life events. We found that, compared with corresponding semantic memory tasks, memories for internal thoughts and external elements were associated with activity in brain areas supporting episodic recollection. Most importantly, however, the 2 kinds of memories also showed differential activation in large-scale brain networks: the remembrance of external elements was associated with greater activity in the dorsal attention network, whereas memories of internal thoughts mainly recruited default network areas. These findings shed new light on the representation of internal and external aspects of prior experience within episodic memory. The default network may contribute to the reinstatement of thoughts experienced during past events, whereas the dorsal attention network may support the allocation of attention to visuospatial features within episodic memory representations.
情景记忆通常由来自外部环境的知觉信息和内部状态的表示组成(例如,一个人在前一个情景中的想法)。然而,迄今为止,研究主要集中在对外界刺激的记忆上,因此对于内部心理活动在情景记忆中的表现知之甚少。在本 fMRI 研究中,我们使用一种从真实生活事件中拍摄的照片提示记忆的新方法,研究了情景记忆的这两个组成部分的神经相关性。与相应的语义记忆任务相比,我们发现,对内部思想和外部元素的记忆与支持情景回忆的大脑区域的活动有关。然而,最重要的是,这两种记忆在大规模大脑网络中也表现出不同的激活:外部元素的记忆与背侧注意网络的活动增加有关,而内部思想的记忆主要招募默认网络区域。这些发现为情景记忆中对先前经验的内部和外部方面的表示提供了新的线索。默认网络可能有助于恢复过去事件中经历的想法,而背侧注意网络可能支持在情景记忆表示中对视觉空间特征的注意力分配。