Whole-central nervous system functional imaging in larval Drosophila

William Lemon; Stefan Pulver; Burkhard Hockendorf; Katie McDole; Kristin Branson; Jeremy Freeman; Phillip Keller

doi:10.1038/ncomms8924

Whole-central nervous system functional imaging in larval Drosophila

William Lemon, Stefan Pulver^*, Burkhard Hockendorf, Katie McDole, Kristin Branson, Jeremy Freeman, Phillip Keller

^*Corresponding author for this work

School of Psychology and Neuroscience

Research output: Contribution to journal › Article › peer-review

Abstract

Understanding how the brain works in tight concert with the rest of the central nervous system (CNS) hinges upon knowledge of coordinated activity patterns across the whole CNS. We present a method for measuring activity in an entire, non-transparent CNS with high spatiotemporal resolution. We combine a light-sheet microscope capable of simultaneous multi-view imaging at volumetric speeds 25-fold faster than the state-of-the-art, a whole-CNS imaging assay for the isolated Drosophila larval CNS and a computational framework for analysing multi-view, whole-CNS calcium imaging data. We image both brain and ventral nerve cord, covering the entire CNS at 2 or 5 Hz with two- or one-photon excitation, respectively. By mapping network activity during fictive behaviours and quantitatively comparing high-resolution whole-CNS activity maps across individuals, we predict functional connections between CNS regions and reveal neurons in the brain that identify type and temporal state of motor programs executed in the ventral nerve cord.

Original language	English
Article number	7924
Number of pages	16
Journal	Nature Communications
Volume	6
DOIs	https://doi.org/10.1038/ncomms8924
Publication status	Published - 11 Aug 2015

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ncomms8924
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Stefan Robert Pulver
- sp96st-andrews.acuk
Person: Academic

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title = "Whole-central nervous system functional imaging in larval Drosophila",

abstract = "Understanding how the brain works in tight concert with the rest of the central nervous system (CNS) hinges upon knowledge of coordinated activity patterns across the whole CNS. We present a method for measuring activity in an entire, non-transparent CNS with high spatiotemporal resolution. We combine a light-sheet microscope capable of simultaneous multi-view imaging at volumetric speeds 25-fold faster than the state-of-the-art, a whole-CNS imaging assay for the isolated Drosophila larval CNS and a computational framework for analysing multi-view, whole-CNS calcium imaging data. We image both brain and ventral nerve cord, covering the entire CNS at 2 or 5 Hz with two- or one-photon excitation, respectively. By mapping network activity during fictive behaviours and quantitatively comparing high-resolution whole-CNS activity maps across individuals, we predict functional connections between CNS regions and reveal neurons in the brain that identify type and temporal state of motor programs executed in the ventral nerve cord.",

author = "William Lemon and Stefan Pulver and Burkhard Hockendorf and Katie McDole and Kristin Branson and Jeremy Freeman and Phillip Keller",

note = "This work was supported by the Howard Hughes Medical Institute.",

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AU - Lemon, William

AU - Pulver, Stefan

AU - Hockendorf, Burkhard

AU - McDole, Katie

AU - Branson, Kristin

AU - Freeman, Jeremy

AU - Keller, Phillip

N1 - This work was supported by the Howard Hughes Medical Institute.

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AB - Understanding how the brain works in tight concert with the rest of the central nervous system (CNS) hinges upon knowledge of coordinated activity patterns across the whole CNS. We present a method for measuring activity in an entire, non-transparent CNS with high spatiotemporal resolution. We combine a light-sheet microscope capable of simultaneous multi-view imaging at volumetric speeds 25-fold faster than the state-of-the-art, a whole-CNS imaging assay for the isolated Drosophila larval CNS and a computational framework for analysing multi-view, whole-CNS calcium imaging data. We image both brain and ventral nerve cord, covering the entire CNS at 2 or 5 Hz with two- or one-photon excitation, respectively. By mapping network activity during fictive behaviours and quantitatively comparing high-resolution whole-CNS activity maps across individuals, we predict functional connections between CNS regions and reveal neurons in the brain that identify type and temporal state of motor programs executed in the ventral nerve cord.

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Whole-central nervous system functional imaging in larval Drosophila

Abstract

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Stefan Robert Pulver

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