Connectivity characterization of the mouse basolateral amygdalar complex
Houri Hintiryan1,2, Ian Bowman3,4, David L Johnson3
1Stevens Neuroimaging and Informatics Institute, Laboratory of Neuro Imaging, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA. HHintiryan@mednet.ucla.edu.
Nature Communications
|May 18, 2021
Summary
Researchers mapped the basolateral amygdala (BLA) using computational analysis, revealing distinct neuron types in anterior BLA domains. This connectivity map aids future studies on BLA cell functions in behavior.
Area of Science:
- Neuroscience
- Computational Neuroscience
Background:
- The basolateral amygdalar complex (BLA) is crucial for behaviors like fear and addiction.
- Optogenetics links specific BLA cell types to circuit functions.
- A detailed BLA projection neuron connectivity map is needed for cell-type specific research.
Purpose of the Study:
- To create a comprehensive BLA connectivity map using computational analysis.
- To identify distinct BLA neuron populations and their targets.
Main Methods:
- Applied machine learning and informatics to circuit-tracing data.
- Performed retrograde tracing to identify inputs to BLA nuclei.
Main Results:
- Identified three distinct domains within the anterior BLA (BLAa) with target-specific projection neurons.
- Characterized brain-wide targets for BLAa projection neurons and other BLA nuclei.
- Mapped inputs to various BLA nuclei.
Conclusions:
- Discovered connectionally unique, domain-specific BLAa neurons.
- These neurons are associated with distinct behavioral networks.
- The BLA connectivity map provides a foundation for granular, cell-type specific interrogations.
