Functionally refined encoding of threat memory by distinct populations of basal forebrain cholinergic projection neurons

  1. Prithviraj Rajebhosale
  2. Mala R Ananth
  3. Ronald Kim
  4. Richard B Crouse
  5. Li Jiang
  6. Gretchen López- Hernández
  7. Chongbo Zhong
  8. Christian Arty
  9. Shaohua Wang
  10. Alice Jone
  11. Niraj S Desai
  12. Yulong Li
  13. Marina R Picciotto
  14. Lorna W Role  Is a corresponding author
  15. David A Talmage  Is a corresponding author
  1. National Institute of Neurological Disorders and Stroke, United States
  2. Yale University, United States
  3. Kansas City University of Medicine and Biosciences, United States
  4. LinkedIn, United States
  5. National Institute of Environmental Health Sciences, United States
  6. Steris, United States
  7. Peking University, China

Abstract

Neurons of the basal forebrain nucleus basalis and posterior substantia innominata (NBM/SIp) comprise the major source of cholinergic input to the basolateral amygdala (BLA). Using a genetically-encoded acetylcholine (ACh) sensor in mice, we demonstrate that BLA-projecting cholinergic neurons can 'learn' the association between a naïve tone and a foot shock (training) and release ACh in the BLA in response to the conditioned tone 24h later (recall). In the NBM/SIp cholinergic neurons express the immediate early gene, Fos following both training and memory recall. Cholinergic neurons that express Fos following memory recall display increased intrinsic excitability. Chemogenetic silencing of these learning-activated cholinergic neurons prevents expression of the defensive behavior to the tone. In contrast, we show that NBM/SIp cholinergic neurons are not activated by an innately threatening stimulus (predator odor). Instead, VP/SIa cholinergic neurons are activated and contribute to defensive behaviors in response to predator odor, an innately threatening stimulus. Taken together, we find that distinct populations of cholinergic neurons are recruited to signal distinct aversive stimuli, demonstrating functionally refined organization of specific types of memory within the cholinergic basal forebrain of mice.

Data availability

Source data for the fiber photometry experiments presented in Figure 1 and supplements are provided as individual source data files.

Article and author information

Author details

  1. Prithviraj Rajebhosale

    NINDS, National Institute of Neurological Disorders and Stroke, Bethesda, United States
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0001-9893-3025
  2. Mala R Ananth

    NINDS, National Institute of Neurological Disorders and Stroke, Bethesda, United States
    Competing interests
    The authors declare that no competing interests exist.
  3. Ronald Kim

    NINDS, National Institute of Neurological Disorders and Stroke, Bethesda, United States
    Competing interests
    The authors declare that no competing interests exist.
  4. Richard B Crouse

    Office of New Haven Affairs, Yale University, New Haven, United States
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-9509-9263
  5. Li Jiang

    NINDS, National Institute of Neurological Disorders and Stroke, Bethesda, United States
    Competing interests
    The authors declare that no competing interests exist.
  6. Gretchen López- Hernández

    Kansas City University of Medicine and Biosciences, Kansas City, United States
    Competing interests
    The authors declare that no competing interests exist.
  7. Chongbo Zhong

    NINDS, National Institute of Neurological Disorders and Stroke, Bethesda, United States
    Competing interests
    The authors declare that no competing interests exist.
  8. Christian Arty

    LinkedIn, Sunnyvale, United States
    Competing interests
    The authors declare that no competing interests exist.
  9. Shaohua Wang

    National Institute of Environmental Health Sciences, Research Triangle Park, United States
    Competing interests
    The authors declare that no competing interests exist.
  10. Alice Jone

    Regulatory Affairs Division, Steris, Mentor, United States
    Competing interests
    The authors declare that no competing interests exist.
  11. Niraj S Desai

    NINDS, National Institute of Neurological Disorders and Stroke, Bethesda, United States
    Competing interests
    The authors declare that no competing interests exist.
  12. Yulong Li

    State Key Laboratory of Membrane Biology, Peking University, Beijing, China
    Competing interests
    The authors declare that no competing interests exist.
  13. Marina R Picciotto

    Department of Psychiatry, Yale University, New Haven, United States
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-4404-1280
  14. Lorna W Role

    NINDS, National Institute of Neurological Disorders and Stroke, Bethesda, United States
    For correspondence
    Lorna.Role@nih.gov
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0001-5851-212X
  15. David A Talmage

    NINDS, National Institute of Neurological Disorders and Stroke, Bethesda, United States
    For correspondence
    david.talmage@NIH.gov
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0003-4627-3007

Funding

National Institute of Neurological Disorders and Stroke (1ZIANS009424)

  • David A Talmage

National Institute of Neurological Disorders and Stroke (1ZIANS009416,1ZIANS009422)

  • Lorna W Role

National Institute of Neurological Disorders and Stroke (NS22061)

  • Lorna W Role
  • David A Talmage

National Institute of Mental Health (U01-MH109104)

  • Lorna W Role
  • David A Talmage

National Institute of Mental Health (MH077681)

  • Marina R Picciotto

National Institute on Drug Abuse (DA14241,DA037566)

  • Marina R Picciotto

National Institute of Neurological Disorders and Stroke (NS007224)

  • Richard B Crouse

The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.

Ethics

Animal experimentation: All animal care and experimental procedures were approved by the Animal Care and Use Committees (ACUC) of the National Institute of Neurological Disorders & Stroke (NINDS) (Protocol #1531), SUNY Research Foundation at Stony Brook University (Protocol #1618), and Yale University (Protocol #2019-07895).

Copyright

This is an open-access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication.

Metrics

  • 1,335
    views
  • 190
    downloads
  • 7
    citations

Views, downloads and citations are aggregated across all versions of this paper published by eLife.

Download links

A two-part list of links to download the article, or parts of the article, in various formats.

Downloads (link to download the article as PDF)

Open citations (links to open the citations from this article in various online reference manager services)

Cite this article (links to download the citations from this article in formats compatible with various reference manager tools)

  1. Prithviraj Rajebhosale
  2. Mala R Ananth
  3. Ronald Kim
  4. Richard B Crouse
  5. Li Jiang
  6. Gretchen López- Hernández
  7. Chongbo Zhong
  8. Christian Arty
  9. Shaohua Wang
  10. Alice Jone
  11. Niraj S Desai
  12. Yulong Li
  13. Marina R Picciotto
  14. Lorna W Role
  15. David A Talmage
(2024)
Functionally refined encoding of threat memory by distinct populations of basal forebrain cholinergic projection neurons
eLife 13:e86581.
https://doi.org/10.7554/eLife.86581

Share this article

https://doi.org/10.7554/eLife.86581

Further reading

    1. Neuroscience
    Cameron T Ellis, Tristan S Yates ... Nicholas Turk-Browne
    Research Article

    Studying infant minds with movies is a promising way to increase engagement relative to traditional tasks. However, the spatial specificity and functional significance of movie-evoked activity in infants remains unclear. Here, we investigated what movies can reveal about the organization of the infant visual system. We collected fMRI data from 15 awake infants and toddlers aged 5–23 months who attentively watched a movie. The activity evoked by the movie reflected the functional profile of visual areas. Namely, homotopic areas from the two hemispheres responded similarly to the movie, whereas distinct areas responded dissimilarly, especially across dorsal and ventral visual cortex. Moreover, visual maps that typically require time-intensive and complicated retinotopic mapping could be predicted, albeit imprecisely, from movie-evoked activity in both data-driven analyses (i.e. independent component analysis) at the individual level and by using functional alignment into a common low-dimensional embedding to generalize across participants. These results suggest that the infant visual system is already structured to process dynamic, naturalistic information and that fine-grained cortical organization can be discovered from movie data.

    1. Neuroscience
    Gaqi Tu, Peiying Wen ... Kaori Takehara-Nishiuchi
    Research Article

    Outcomes can vary even when choices are repeated. Such ambiguity necessitates adjusting how much to learn from each outcome by tracking its variability. The medial prefrontal cortex (mPFC) has been reported to signal the expected outcome and its discrepancy from the actual outcome (prediction error), two variables essential for controlling the learning rate. However, the source of signals that shape these coding properties remains unknown. Here, we investigated the contribution of cholinergic projections from the basal forebrain because they carry precisely timed signals about outcomes. One-photon calcium imaging revealed that as mice learned different probabilities of threat occurrence on two paths, some mPFC cells responded to threats on one of the paths, while other cells gained responses to threat omission. These threat- and omission-evoked responses were scaled to the unexpectedness of outcomes, some exhibiting a reversal in response direction when encountering surprising threats as opposed to surprising omissions. This selectivity for signed prediction errors was enhanced by optogenetic stimulation of local cholinergic terminals during threats. The enhanced threat-evoked cholinergic signals also made mice erroneously abandon the correct choice after a single threat that violated expectations, thereby decoupling their path choice from the history of threat occurrence on each path. Thus, acetylcholine modulates the encoding of surprising outcomes in the mPFC to control how much they dictate future decisions.