期刊
ELIFE
卷 10, 期 -, 页码 -出版社
eLIFE SCIENCES PUBL LTD
DOI: 10.7554/eLife.62889
关键词
behavioral states; neuromodulation; foraging; neural circuits; sensorimotor; C; elegans
类别
资金
- National Institute of Neurological Disorders and Stroke [R01NS104892]
- National Science Foundation [IOS 1845663, DUE 1734870]
- JPB Foundation
- Brain and Behavior Research Foundation NARSAD Young Investigator Award
- McKnight Foundation McKnight Scholars Award
- JPB Foundation Picower Fellowship
- Alfred P. Sloan Foundation Sloan Research Fellowship
- Charles A. King Trust Charles King Trust Postdoctoral Fellowship
The neural circuit controlling the choice between roaming and dwelling states in C. elegans shows stereotyped changes in circuit activity corresponding to each behavioral state. Mutual inhibition between two antagonistic neuromodulatory systems underlies the persistence and mutual exclusivity of neural activity patterns observed in each state, enabling flexible, sensory-driven control of persistent behavioral states.
To adapt to their environments, animals must generate behaviors that are closely aligned to a rapidly changing sensory world. However, behavioral states such as foraging or courtship typically persist over long time scales to ensure proper execution. It remains unclear how neural circuits generate persistent behavioral states while maintaining the flexibility to select among alternative states when the sensory context changes. Here, we elucidate the functional architecture of a neural circuit controlling the choice between roaming and dwelling states, which underlie exploration and exploitation during foraging in C. elegans. By imaging ensemble-level neural activity in freely moving animals, we identify stereotyped changes in circuit activity corresponding to each behavioral state. Combining circuit-wide imaging with genetic analysis, we find that mutual inhibition between two antagonistic neuromodulatory systems underlies the persistence and mutual exclusivity of the neural activity patterns observed in each state. Through machine learning analysis and circuit perturbations, we identify a sensory processing neuron that can transmit information about food odors to both the roaming and dwelling circuits and bias the animal towards different states in different sensory contexts, giving rise to context-appropriate state transitions. Our findings reveal a potentially general circuit architecture that enables flexible, sensory-driven control of persistent behavioral states.
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