Neural Circuits: How the brain processes negative emotions

A new brain circuit that contributes to aversive states, such as fear or anxiety, has been characterized in mice.
  1. Gaowei Chen
  2. Zijun Chen
  3. Yingjie Zhu  Is a corresponding author
  1. Institute of Brain Cognition and Brain Disease, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China

When an animal perceives a threat, this triggers an ‘aversive state’ in its brain, making the animal want to run away or hide from the threat. Aversive states are essential for survival, but not much is known about how the brain processes and modulates these negative emotions.

A region of the brainstem called the parabrachial nucleus (PBN) plays a critical role in encoding danger signals, such as threats (Campos et al., 2018). A recent study found that subpopulations of neurons in the PBN have different roles, and that their axons – which the neurons use to relay signals – project away from the PBN in distinct patterns (Chiang et al., 2020).

One of the projection targets of the PBN is the thalamic paraventricular nucleus (PVT), a brain region crucial for regulating emotional processing. The PVT is activated by various stressors (such as electric foot shock) and contributes to memories of fear (Do-Monte et al., 2015; Penzo et al., 2015; Zhu et al., 2016). However, even through our understanding of the neurocircuitry in the PVT has improved, the region of the brain that relays aversive information to the PVT is not well studied.

Now, in eLife, Ling Zhang and Di Mu, along with colleagues from Shanghai Jiao Tong University, Tongji University School of Medicine, Guangzhou Medical University and Southern University of Science and Technology – with Ya-Bing Zhu, Yan Wang and Xiao-Xiao Hua as joint first authors – report that, in mice, projections from the PBN into the PVT regulate aversive states, such as fear and anxiety (Zhu et al., 2022). Their observations describe important details of the previously uncharacterized brain circuit that connects the PBN and the PVT.

First, Zhu et al. used retrograde adeno-associated viruses to characterize the anatomic connections between the PBN and the PVT. This revealed that the neurons from the PBN that project into the PVT are located laterally (on the sides) in the PBN and can rarely be found medially (in the middle).

Next, Zhu et al. examined several genetic markers for subpopulations of PBN neurons from mice, and found that most of the PBN neurons that project into the PVT do not express these genes. This suggests that these cells are a newly identified population of PBN neurons.

To examine the functional connectivity between the PBN and the PVT, Zhu et al. expressed an optogenetic tool that allowed them to activate neurons in the PBN using light and record the synaptic response in PVT neurons. The results showed that PBN neurons send direct excitatory synaptic projections to the PVT. Zhu et al. also demonstrated that these synapses use glutamate as a neurotransmitter, since the synaptic responses can be completely blocked by a glutamate receptor antagonist.

Moreover, more connections were observed between the PBN and the medial and posterior (back) regions of the PVT than with the anterior (front) area of the PVT. Further viral tracing experiments also showed that the density of PBN axonal fibers was higher in the middle and posterior regions of the PVT, consistent with the notion that the posterior of the PVT is particularly sensitive to aversion (Gao et al., 2020).

To interrogate how important the pathway connecting the PBN to the PVT is to emotional processing, Zhu et al. used optogenetics (controlling neural activity with light) along with chemogenetics (controlling neural activity with chemicals). They found that activating the neurons of the PBN that project into the PVT with either light or chemicals induced instant aversion in mice: the animals exhibited fear-like and anxiety-like behaviors in the absence of a danger signal.

These results indicate that the pathway between the PBN and the PVT contributes to negative emotion processing. The next question to be answered is whether blocking this pathway would reduce negative emotions. Zhu et al. tested this hypothesis with optogenetics, using light to inhibit the projections between the PBN and the PVT in mice. When these mice were subjected to an electrical shock or the odor of a predator, they had reduced aversion-like and fear-like freezing behaviors. This establishes the pathway between the PBN and the PVT as a neural circuit essential to modulating negative emotion processing.

Consistent with previous findings, Zhu et al. showed that neurons in the PVT increased their activity after mice were subjected to two methods for inducing stress: mild electrical shocks and blowing puffs of air onto the face (Do-Monte et al., 2015; Penzo et al., 2015; Zhu et al., 2018). Based on the excitatory projections from the PBN to the PVT, this strongly implies that the aversive signal might in part originate in the PBN.

To confirm this, Zhu et al. stained cells in the PVT for Fos protein and mRNA, which will show up when a neuron has been active, and used optoelectrodes to record neural activity. The results showed that electric shocks activated broadly the same neurons in the PVT that became activated when the PBN was stimulated using optogenetics. Further optoelectrode recording results showed that stimulation of PBN inputs could increase activity in the PVT in response to aversive stimuli. In a final step, Zhu et al. used an anterograde labeling strategy, in which they traced axons from their source to their termination, to locate PVT neurons that received PBN inputs. When they directly activated these postsynaptic PVT neurons, the mice exhibited anxiety-like behaviors but not obvious pain-related behaviors.

The results of Zhu et al. address the question of where aversive signals processed by the PVT come from, indicating that inputs from the PBN may be critical for this process (Figure 1). The neurons from the PBN that feed into the PVT do not express current known PBN markers, which means they are a new subpopulation of neurons that will need to be further characterized, particularly at the molecular level. This will allow scientists to better understand how the brain processes and responds to threats, and how behaviors in response to threat evolved.

A pathway between the brainstem and the thalamus contributes to negative emotional processing.

Left: neurons that produce glutamate (shown in red) in the lateral parabrachial nucleus (LPBN) of the brainstem send projections to the paraventricular thalamic nucleus (PVT). The PVT neurons that receive PBN inputs (shown in blue) are mainly located at medial and posterior PVT. The cross on the top left indicates where the anterior, posterior, ventral and dorsal parts of the brain lie, with medial parts in the middle. Right: external aversive stimuli (such as footshock or predator odor) activate the pathway from the PBN to the PVT, inducing negative affective states, such as anxiety, fear, and aversion.

References

Article and author information

Author details

  1. Gaowei Chen

    Gaowei Chen is in the Brain Cognition and Brain Disease Institute, Shenzhen Institutes of Advanced Technology, Chinese Academy of Science, Shenzhen, China

    Contributed equally with
    Zijun Chen
    Competing interests
    No competing interests declared
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0003-4033-2811
  2. Zijun Chen

    Zijun Chen is in the Brain Cognition and Brain Disease Institute, Shenzhen Institutes of Advanced Technology, Chinese Academy of Science, Shenzhen, China

    Contributed equally with
    Gaowei Chen
    Competing interests
    No competing interests declared
  3. Yingjie Zhu

    Yingjie Zhu is in the Brain Cognition and Brain Disease Institute, Shenzhen Institutes of Advanced Technology, Chinese Academy of Science, Shenzhen, China

    For correspondence
    yj.zhu1@siat.ac.cn
    Competing interests
    No competing interests declared
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-0783-0897

Acknowledgements

YZ acknowledges grants from the National Natural Science Foundation of China (81922024) and Science, Technology and Innovation Commission of Shenzhen Municipality (RCJC20200714114556103).

Publication history

  1. Version of Record published: March 17, 2022 (version 1)

Copyright

© 2022, Chen et al.

This article is distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use and redistribution provided that the original author and source are credited.

Metrics

  • 2,741
    Page views
  • 252
    Downloads
  • 0
    Citations

Article citation count generated by polling the highest count across the following sources: Crossref, PubMed Central, Scopus.

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. Gaowei Chen
  2. Zijun Chen
  3. Yingjie Zhu
(2022)
Neural Circuits: How the brain processes negative emotions
eLife 11:e77550.
https://doi.org/10.7554/eLife.77550

Further reading

    1. Neuroscience
    Daichi Sasaki, Ken Imai ... Ko Matsui
    Research Article

    The presence of global synchronization of vasomotion induced by oscillating visual stimuli was identified in the mouse brain. Endogenous autofluorescence was used and the vessel ‘shadow’ was quantified to evaluate the magnitude of the frequency-locked vasomotion. This method allows vasomotion to be easily quantified in non-transgenic wild-type mice using either the wide-field macro-zoom microscopy or the deep-brain fiber photometry methods. Vertical stripes horizontally oscillating at a low temporal frequency (0.25 Hz) were presented to the awake mouse, and oscillatory vasomotion locked to the temporal frequency of the visual stimulation was induced not only in the primary visual cortex but across a wide surface area of the cortex and the cerebellum. The visually induced vasomotion adapted to a wide range of stimulation parameters. Repeated trials of the visual stimulus presentations resulted in the plastic entrainment of vasomotion. Horizontally oscillating visual stimulus is known to induce horizontal optokinetic response (HOKR). The amplitude of the eye movement is known to increase with repeated training sessions, and the flocculus region of the cerebellum is known to be essential for this learning to occur. Here, we show a strong correlation between the average HOKR performance gain and the vasomotion entrainment magnitude in the cerebellar flocculus. Therefore, the plasticity of vasomotion and neuronal circuits appeared to occur in parallel. Efficient energy delivery by the entrained vasomotion may contribute to meeting the energy demand for increased coordinated neuronal activity and the subsequent neuronal circuit reorganization.

    1. Medicine
    2. Neuroscience
    Flora Moujaes, Jie Lisa Ji ... Alan Anticevic
    Research Article

    Background:

    Ketamine has emerged as one of the most promising therapies for treatment-resistant depression. However, inter-individual variability in response to ketamine is still not well understood and it is unclear how ketamine’s molecular mechanisms connect to its neural and behavioral effects.

    Methods:

    We conducted a single-blind placebo-controlled study, with participants blinded to their treatment condition. 40 healthy participants received acute ketamine (initial bolus 0.23 mg/kg, continuous infusion 0.58 mg/kg/hr). We quantified resting-state functional connectivity via data-driven global brain connectivity and related it to individual ketamine-induced symptom variation and cortical gene expression targets.

    Results:

    We found that: (i) both the neural and behavioral effects of acute ketamine are multi-dimensional, reflecting robust inter-individual variability; (ii) ketamine’s data-driven principal neural gradient effect matched somatostatin (SST) and parvalbumin (PVALB) cortical gene expression patterns in humans, while the mean effect did not; and (iii) behavioral data-driven individual symptom variation mapped onto distinct neural gradients of ketamine, which were resolvable at the single-subject level.

    Conclusions:

    These results highlight the importance of considering individual behavioral and neural variation in response to ketamine. They also have implications for the development of individually precise pharmacological biomarkers for treatment selection in psychiatry.

    Funding:

    This study was supported by NIH grants DP5OD012109-01 (A.A.), 1U01MH121766 (A.A.), R01MH112746 (J.D.M.), 5R01MH112189 (A.A.), 5R01MH108590 (A.A.), NIAAA grant 2P50AA012870-11 (A.A.); NSF NeuroNex grant 2015276 (J.D.M.); Brain and Behavior Research Foundation Young Investigator Award (A.A.); SFARI Pilot Award (J.D.M., A.A.); Heffter Research Institute (Grant No. 1–190420) (FXV, KHP); Swiss Neuromatrix Foundation (Grant No. 2016–0111) (FXV, KHP); Swiss National Science Foundation under the framework of Neuron Cofund (Grant No. 01EW1908) (KHP); Usona Institute (2015 – 2056) (FXV).

    Clinical trial number:

    NCT03842800