Feature-specific neural reactivation during episodic memory

Feature-specific neural reactivation during episodic memory
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DOI:
10.1038/s41467-020-15763-2
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发表时间:
2020-04-23
影响因子:
16.6
通讯作者:
Buchsbaum, Bradley R.
Buchsbaum, Bradley R.
中科院分区:
综合性期刊1区
文献类型:
--
作者:
Bone, Michael B.;Ahmad, Fahad;Buchsbaum, Bradley R.

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我们提出了一种多体素的分析方法,功能特定的信息连接(FSIC),利用神经网络的层次表示解码的功能磁共振成像数据中收集的神经激活,而参与者进行了一个情节视觉回忆任务。我们发现,与低级别(如边缘),高级别(如面部特征),语义(如“梗”)功能的神经再激活发生在整个背侧和腹侧的视觉流,并延伸到额叶皮层。此外,我们发现,低层次和高层次的功能与记忆的生动性相关的重新激活,而只有低层次的功能重新激活与识别精度相关的诱饵和目标图像的语义相似。除了证明实用的FSIC映射功能特异性的再激活,这些发现解决了贡献的低层次和高层次的功能,视觉记忆的生动性和挑战严格的解释后到前的视觉层次。记忆回忆涉及在回忆的经历中发生的神经活动的重新激活。在这里,作者表明,神经再激活可以分解为视觉语义特征,在整个大脑中广泛同步,并预测记忆的生动性和准确性。
We present a multi-voxel analytical approach, feature-specific informational connectivity (FSIC), that leverages hierarchical representations from a neural network to decode neural reactivation in fMRI data collected while participants performed an episodic visual recall task. We show that neural reactivation associated with low-level (e.g. edges), high-level (e.g. facial features), and semantic (e.g. "terrier") features occur throughout the dorsal and ventral visual streams and extend into the frontal cortex. Moreover, we show that reactivation of both low- and high-level features correlate with the vividness of the memory, whereas only reactivation of low-level features correlates with recognition accuracy when the lure and target images are semantically similar. In addition to demonstrating the utility of FSIC for mapping feature-specific reactivation, these findings resolve the contributions of low- and high-level features to the vividness of visual memories and challenge a strict interpretation the posterior-to-anterior visual hierarchy. Memory recollection involves reactivation of neural activity that occurred during the recalled experience. Here, the authors show that neural reactivation can be decomposed into visual-semantic features, is widely synchronized throughout the brain, and predicts memory vividness and accuracy.