期刊
NATURE NEUROSCIENCE
卷 24, 期 6, 页码 886-896出版社
NATURE PORTFOLIO
DOI: 10.1038/s41593-021-00841-5
关键词
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资金
- Office of Naval Research [N000142012405, N00014162531]
- National Science Foundation (NSF) [ECCS-2024776, ECCS-1752241, ECCS-1734940]
- NIH [R21 EY029466, R21 EB026180, DP2 EB030992, R01 NS091010A, R01 EY025349, R01 DC014690, R21 NS109722, P30 EY022589]
- Pew Charitable Trusts and David AMP
- Lucile Packard Foundation
- NSF [ECCS-1542148]
- U.S. Department of Defense (DOD) [N000142012405] Funding Source: U.S. Department of Defense (DOD)
The authors introduced a flexible, insertable, and transparent microelectrode array, Neuro-FITM, for multimodal recordings of cortical and hippocampal activity patterns. They demonstrated that diverse cortical activity patterns accompanied hippocampal sharp-wave ripples, with cortical activation often preceding the ripples. This suggests a selective and diverse interaction between hippocampal and large-scale cortical activity during sharp-wave ripples, underlying various cognitive functions.
Liu et al. present a flexible, insertable and transparent microelectrode (FITM) array termed Neuro-FITM. Multimodal recordings with Neuro-FITM reveal diverse and selective large-scale cortical activation patterns associated with hippocampal sharp-wave ripples. Many cognitive processes require communication between the neocortex and the hippocampus. However, coordination between large-scale cortical dynamics and hippocampal activity is not well understood, partially due to the difficulty in simultaneously recording from those regions. In the present study, we developed a flexible, insertable and transparent microelectrode array (Neuro-FITM) that enables investigation of cortical-hippocampal coordinations during hippocampal sharp-wave ripples (SWRs). Flexibility and transparency of Neuro-FITM allow simultaneous recordings of local field potentials and neural spiking from the hippocampus during wide-field calcium imaging. These experiments revealed that diverse cortical activity patterns accompanied SWRs and, in most cases, cortical activation preceded hippocampal SWRs. We demonstrated that, during SWRs, different hippocampal neural population activity was associated with distinct cortical activity patterns. These results suggest that hippocampus and large-scale cortical activity interact in a selective and diverse manner during SWRs underlying various cognitive functions. Our technology can be broadly applied to comprehensive investigations of interactions between the cortex and other subcortical structures.
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