PUBLICATION

Functional and pharmacological analyses of visual habituation learning in larval zebrafish

Authors
Lamiré, L.A., Haesemeyer, M., Engert, F., Granato, M., Randlett, O.
ID
ZDB-PUB-231219-2
Date
2023
Source
eLIFE   12: (Journal)
Registered Authors
Engert, Florian, Granato, Michael
Keywords
Ca2+ imaging, GABA, behaviour, habituation, neuroscience, pharmacology, plasticity, zebrafish
MeSH Terms
  • Animals
  • Brain
  • Consensus
  • Larva
  • Perciformes*
  • Spatial Learning
  • Zebrafish*
PubMed
38108818 Full text @ Elife
Abstract
Habituation allows animals to learn to ignore persistent but inconsequential stimuli. Despite being the most basic form of learning, a consensus model on the underlying mechanisms has yet to emerge. To probe relevant mechanisms, we took advantage of a visual habituation paradigm in larval zebrafish, where larvae reduce their reactions to abrupt global dimming (a dark flash). We used Ca2+ imaging during repeated dark flashes and identified 12 functional classes of neurons that differ based on their rate of adaptation, stimulus response shape, and anatomical location. While most classes of neurons depressed their responses to repeated stimuli, we identified populations that did not adapt or that potentiated their response. These neurons were distributed across brain areas, consistent with a distributed learning process. Using a small-molecule screening approach, we confirmed that habituation manifests from multiple distinct molecular mechanisms, and we have implicated molecular pathways in habituation, including melatonin, oestrogen, and GABA signalling. However, by combining anatomical analyses and pharmacological manipulations with Ca2+ imaging, we failed to identify a simple relationship between pharmacology, altered activity patterns, and habituation behaviour. Collectively, our work indicates that habituation occurs via a complex and distributed plasticity processes that cannot be captured by a simple model. Therefore, untangling the mechanisms of habituation will likely require dedicated approaches aimed at sub-component mechanisms underlying this multidimensional learning process.
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