The spatial and temporal structure of neural activity across the fly brain

What are the spatial and temporal scales of brainwide neuronal activity? We used swept, confocally-aligned planar excitation (SCAPE) microscopy to image all cells in a large volume of the brain of adult Drosophila with high spatiotemporal resolution while flies engaged in a variety of spontaneous be...

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Veröffentlicht in:Nature communications 2023-09, Vol.14 (1), p.5572-15, Article 5572
Hauptverfasser: Schaffer, Evan S., Mishra, Neeli, Whiteway, Matthew R., Li, Wenze, Vancura, Michelle B., Freedman, Jason, Patel, Kripa B., Voleti, Venkatakaushik, Paninski, Liam, Hillman, Elizabeth M. C., Abbott, L. F., Axel, Richard
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Sprache:eng
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Zusammenfassung:What are the spatial and temporal scales of brainwide neuronal activity? We used swept, confocally-aligned planar excitation (SCAPE) microscopy to image all cells in a large volume of the brain of adult Drosophila with high spatiotemporal resolution while flies engaged in a variety of spontaneous behaviors. This revealed neural representations of behavior on multiple spatial and temporal scales. The activity of most neurons correlated (or anticorrelated) with running and flailing over timescales that ranged from seconds to a minute. Grooming elicited a weaker global response. Significant residual activity not directly correlated with behavior was high dimensional and reflected the activity of small clusters of spatially organized neurons that may correspond to genetically defined cell types. These clusters participate in the global dynamics, indicating that neural activity reflects a combination of local and broadly distributed components. This suggests that microcircuits with highly specified functions are provided with knowledge of the larger context in which they operate. Neuropil regions across the fly brain are activated by locomotion. Here, authors show that this movement-related activity involves most neurons in the dorsal fly brain, including genetically defined neurons with known, seemingly unrelated functions.
ISSN:2041-1723
2041-1723
DOI:10.1038/s41467-023-41261-2