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Functional specialization and interaction in the amygdala-hippocampus circuit during working memory processing | |
Li, Jin1; Cao, Dan1; Yu, Shan1,2; Xiao, Xinyu1,2; Imbach, Lukas3,4,5; Stieglitz, Lennart6; Sarnthein, Johannes6,7; Jiang, Tianzi1,2,8 | |
发表期刊 | NATURE COMMUNICATIONS |
2023-05-22 | |
卷号 | 14期号:1页码:11 |
通讯作者 | Sarnthein, Johannes(johannes.sarnthein@usz.ch) ; Jiang, Tianzi(jiangtz@nlpr.ia.ac.cn) |
摘要 | Both the hippocampus and amygdala are involved in working memory (WM) processing. However, their specific role in WM is still an open question. Here, we simultaneously recorded intracranial EEG from the amygdala and hippo-campus of epilepsy patients while performing aWM task, and compared their representation patterns during the encoding and maintenance periods. By combining multivariate representational analysis and connectivity analyses with machine learning methods, our results revealed a functional specialization of the amygdala-hippocampal circuit: The mnemonic representations in the amygdala were highly distinct and decreased from encoding to maintenance. The hippocampal representations, however, weremore similar across different items but remained stable in the absence of the stimulus. WM encoding and maintenance were associated with bidirectional information flow between the amygdala and the hippocampus in low-frequency bands (1-40 Hz). Furthermore, the decoding accuracy on WM load was higher by using representational features in the amygdala during encoding and in the hippocampus during maintenance, and by using information flow from the amygdala during encoding and that from the hippocampus during maintenance, respectively. Taken together, our study reveals thatWMprocessing is associated with functional specialization and interaction within the amygdala-hippocampus circuit. |
DOI | 10.1038/s41467-023-38571-w |
收录类别 | SCI |
语种 | 英语 |
资助项目 | STI2030-Major Projects[2021ZD0200200] ; National Natural Science Foundation of China[32271085] ; National Natural Science Foundation of China[82151307] ; Science Frontier Program of the Chinese Academy of Sciences[XDBS01030200] ; Open Research Fund of the State Key Laboratory of Cognitive Neuroscience and Learning[CNLYB2004] ; Swiss National Science Foundation[SNSF 204651] ; Key Research Project of Zhejiang Lab[2022KI0AC02] ; Key Research Project of Zhejiang Lab[2022ND0AN01] |
项目资助者 | STI2030-Major Projects ; National Natural Science Foundation of China ; Science Frontier Program of the Chinese Academy of Sciences ; Open Research Fund of the State Key Laboratory of Cognitive Neuroscience and Learning ; Swiss National Science Foundation ; Key Research Project of Zhejiang Lab |
WOS研究方向 | Science & Technology - Other Topics |
WOS类目 | Multidisciplinary Sciences |
WOS记录号 | WOS:001024186000023 |
出版者 | NATURE PORTFOLIO |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/53949 |
专题 | 脑图谱与类脑智能实验室_脑网络组研究 |
通讯作者 | Sarnthein, Johannes; Jiang, Tianzi |
作者单位 | 1.Chinese Acad Sci, Inst Automat, Brainnetome Ctr, Beijing 100190, Peoples R China 2.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100049, Peoples R China 3.Klin Lengg, Swiss Epilepsy Ctr, Zurich, Switzerland 4.ETH, Zurich Neurosci Ctr, CH-8057 Zurich, Switzerland 5.Univ Zurich, CH-8057 Zurich, Switzerland 6.Univ Zurich, Univ Zurich Hosp, Dept Neurosurg, CH-8091 Zurich, Switzerland 7.Swiss Fed Inst Technol, Zurich Neurosci Ctr, CH-8057 Zurich, Switzerland 8.Zhejiang Lab, Res Ctr Augmented Intelligence, Hangzhou 311100, Peoples R China |
第一作者单位 | 中国科学院自动化研究所 |
通讯作者单位 | 中国科学院自动化研究所 |
推荐引用方式 GB/T 7714 | Li, Jin,Cao, Dan,Yu, Shan,et al. Functional specialization and interaction in the amygdala-hippocampus circuit during working memory processing[J]. NATURE COMMUNICATIONS,2023,14(1):11. |
APA | Li, Jin.,Cao, Dan.,Yu, Shan.,Xiao, Xinyu.,Imbach, Lukas.,...&Jiang, Tianzi.(2023).Functional specialization and interaction in the amygdala-hippocampus circuit during working memory processing.NATURE COMMUNICATIONS,14(1),11. |
MLA | Li, Jin,et al."Functional specialization and interaction in the amygdala-hippocampus circuit during working memory processing".NATURE COMMUNICATIONS 14.1(2023):11. |
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