Sleep fMRI with simultaneous electrophysiology at 9.4 T in male mice

Yalin Yu, Yue Qiu, Gen Li, Kaiwei Zhang, Binshi Bo, Mengchao Pei, Jingjing Ye, Garth J. Thompson, Jing Cang, Fang Fang, Yanqiu Feng, Xiaojie Duan (), Chuanjun Tong () and Zhifeng Liang ()
Additional contact information
Yalin Yu: Chinese Academy of Sciences
Yue Qiu: Fudan University
Gen Li: Peking University
Kaiwei Zhang: Chinese Academy of Sciences
Binshi Bo: Chinese Academy of Sciences
Mengchao Pei: Chinese Academy of Sciences
Jingjing Ye: ShanghaiTech University
Garth J. Thompson: ShanghaiTech University
Jing Cang: Fudan University
Fang Fang: Fudan University
Yanqiu Feng: Southern Medical University
Xiaojie Duan: Peking University
Chuanjun Tong: Chinese Academy of Sciences
Zhifeng Liang: Chinese Academy of Sciences

Nature Communications, 2023, vol. 14, issue 1, 1-18

Abstract: Abstract Sleep is ubiquitous and essential, but its mechanisms remain unclear. Studies in animals and humans have provided insights of sleep at vastly different spatiotemporal scales. However, challenges remain to integrate local and global information of sleep. Therefore, we developed sleep fMRI based on simultaneous electrophysiology at 9.4 T in male mice. Optimized un-anesthetized mouse fMRI setup allowed manifestation of NREM and REM sleep, and a large sleep fMRI dataset was collected and openly accessible. State dependent global patterns were revealed, and state transitions were found to be global, asymmetrical and sequential, which can be predicted up to 17.8 s using LSTM models. Importantly, sleep fMRI with hippocampal recording revealed potentiated sharp-wave ripple triggered global patterns during NREM than awake state, potentially attributable to co-occurrence of spindle events. To conclude, we established mouse sleep fMRI with simultaneous electrophysiology, and demonstrated its capability by revealing global dynamics of state transitions and neural events.

Date: 2023
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DOI: 10.1038/s41467-023-37352-9

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