Persistently increased post-stress activity of paraventricular thalamic neurons is essential for the emergence of stress-induced alterations in behaviour

PLoS Biol. 2025 Jan 21;23(1):e3002962. doi: 10.1371/journal.pbio.3002962. eCollection 2025 Jan.

Abstract

A single exposure to a stressful event can result in enduring changes in behaviour. Long-term modifications in neuronal networks induced by stress are well explored but the initial steps leading to these alterations remain incompletely understood. In this study, we found that acute stress exposure triggers an immediate increase in the firing activity of calretinin-positive neurons in the paraventricular thalamic nucleus (PVT/CR+) that persists for several days in mice. This increase in activity had a causal role in stress-induced changes in spontaneous behaviour. Attenuating PVT/CR+ neuronal activity for only 1 h after the stress event rescued both the protracted increase in PVT/CR+ firing rate and the stress-induced behavioural alterations. Activation of the key forebrain targets (basolateral amygdala, prelimbic cortex, and nucleus accumbens) that mediate defensive behaviour has also been reduced by this post-stress inhibition. Reduction of PVT/CR+ cell activity 5 days later remained still effective in ameliorating stress-induced changes in spontaneous behaviour. The results demonstrate a critical role of the prolonged, post-stress changes in firing activity of PVT/CR+ neurons in shaping the behavioural changes associated with stress. Our data proposes a therapeutic window for intervention in acute stress-related disorders, offering potential avenues for targeted treatment strategies.

MeSH terms

  • Animals
  • Behavior, Animal* / physiology
  • Calbindin 2 / metabolism
  • Male
  • Mice
  • Mice, Inbred C57BL
  • Midline Thalamic Nuclei* / physiology
  • Neurons* / metabolism
  • Neurons* / physiology
  • Stress, Psychological* / physiopathology

Substances

  • Calbindin 2

Grants and funding

LA was supported by the European Research Council (ERC Advanced Grant, FRONTHAL, grant no. 742595; see details at https://erc.europa.eu/funding/advanced-grants) and the European Union within the framework of the Artificial Intelligence National Laboratory (RRF-2.3.1-21-2022-00004; more information at https://ai-hu.eu). BH was supported by the European Research Council (ERC Starting Grant, CholAminCo, grant no. 715043; details available at https://erc.europa.eu/funding/starting-grants) and the National Research, Development and Innovation Office of Hungary (NKFIH, grant no. K135561; information can be found at https://nkfih.gov.hu). LA also received funding from the “Lendület” Program of the Hungarian Academy of Sciences (grant no. LP2023-2/2023; further details at https://mta.hu/lendulet). RB was supported by the Ministry of Innovation and Technology of Hungary through the Higher Education Institutional Excellence Program (grant no. TKP2021-EGA-25; information available at https://nkfih.gov.hu). MAD received support from the French National Research Agency (ANR, grant nos. ANR-21-CE37-0025-02 and ANR-21-CE16-0012-02; information can be found at https://anr.fr). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.