Objective
Adaptive behaviour to ever-changing environments is crucial for an animals survival in conditions of immediate threat. Meanwhile, there is growing evidence that psychiatric conditions, including anxiety disorders, are at least partly based on maladaptive learning. Neuropeptide signalling plays a key role in regulating synaptic plasticity and hence learning in a state-dependent manner, and dysregulated peptide signalling has been observed in patients suffering from psychiatric disorders. Due to specific expression of peptides and their receptors in distinct cell types and microcircuits, they can contribute to the specificity of neural communication on both temporal and spatial scales. However, the signalling mechanisms and behavioural roles of neuropeptides in individual circuit elements are not well understood.
In this proposal, we will use a multimodal approach to determine the role of neuropeptides in innate and learned fear and anxiety states. We will focus on microcircuits of the amygdala, more specifically on distinct interneuron types, which co-release different peptides with their common main transmitter GABA. Using state-of-the-art technology, we will analyse under which conditions neuropeptides are released from interneurons, and probe their causal contribution to fear learning and anxiety states with intersectional genetic interrogations. Large-scale, longitudinal in vivo calcium imaging combined with novel spatial transcriptomics will further reveal peptide impact on circuit computations. As both amygdala circuitry and function as well as neuropeptide expression are evolutionarily conserved, we expect that this proposal will unravel fundamental mechanisms of neural circuit functions for survival. This research will not only provide novel insights into the neural mechanisms of fear and anxiety, but will also hold significant clinical relevance for understanding the underlying pathophysiological processes that contribute to psychiatric disorders.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
- natural sciencesbiological sciencesbiochemistrybiomolecules
- natural scienceschemical sciencesinorganic chemistryalkaline earth metals
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Programme(s)
- HORIZON.1.1 - European Research Council (ERC) Main Programme
Funding Scheme
HORIZON-ERC - HORIZON ERC GrantsHost institution
53127 Bonn
Germany