Fear memory recall involves hippocampal somatostatin interneurons

PLoS Biol. 2023 Jun 8;21(6):e3002154. doi: 10.1371/journal.pbio.3002154. eCollection 2023 Jun.

Abstract

Fear-related memory traces are encoded by sparse populations of hippocampal principal neurons that are recruited based on their inhibitory-excitatory balance during memory formation. Later, the reactivation of the same principal neurons can recall the memory. The details of this mechanism are still unclear. Here, we investigated whether disinhibition could play a major role in this process. Using optogenetic behavioral experiments, we found that when fear was associated with the inhibition of mouse hippocampal somatostatin positive interneurons, the re-inhibition of the same interneurons could recall fear memory. Pontine nucleus incertus neurons selectively inhibit hippocampal somatostatin cells. We also found that when fear was associated with the activity of these incertus neurons or fibers, the reactivation of the same incertus neurons or fibers could also recall fear memory. These incertus neurons showed correlated activity with hippocampal principal neurons during memory recall and were strongly innervated by memory-related neocortical centers, from which the inputs could also control hippocampal disinhibition in vivo. Nonselective inhibition of these mouse hippocampal somatostatin or incertus neurons impaired memory recall. Our data suggest a novel disinhibition-based memory mechanism in the hippocampus that is supported by local somatostatin interneurons and their pontine brainstem inputs.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Animals
  • Fear / physiology
  • Hippocampus / metabolism
  • Interneurons* / metabolism
  • Memory* / physiology
  • Mice
  • Somatostatin / metabolism

Substances

  • Somatostatin

Grants and funding

This work was supported by the Hungarian National Research, Development and Innovation Office (OTKA K119521); the Frontline Research Excellence Program, by the Hungarian National Research, Development and Innovation Office (NRDI Fund 133837), the Hungarian Brain Research Program [NAP2.0 (2017-1.2.1-NKP-2017-00002) and NAP3.0 (NAP2022-I-1/2022)], European Union project RRF-2.3.1-21-2022-00004 within the framework of the Artificial Intelligence National Laboratory; European Union project RRF-2.3.1-21-2022-00011 within the framework of the Translational Neuroscience National Laboratory to G.N. The National Academy of Scientist Education Program of the National Biomedical Foundation under the sponsorship of the Hungarian Ministry of Culture and Innovation (FEIF/646-4/2021- ITM_SZERZ) to G.N and R.Z.S. The New National Excellence Program of the Ministry of Innovation, Hungary, UNKP-20-3-SE-31 and UNKP-21-3-SE-9 and the Semmelweis 250+ Excellence PhD Fellowship, EFOP-3.6.3-VEKOP-16-2017-00009 to K.Z. The National Research, Development and Innovation Office, Hungary, FK129019 to A.M.B. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.