From connectome to effectome: learning the causal interaction map of the fly brain DOI Creative Commons
Dean A. Pospisil, Max Jameson Aragon, Sven Dorkenwald

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2023, Volume and Issue: unknown

Published: Nov. 3, 2023

A long-standing goal of neuroscience is to obtain a causal model the nervous system. This would allow neuroscientists explain animal behavior in terms dynamic interactions between neurons. The recently reported whole-brain fly connectome [1-7] specifies synaptic paths by which neurons can affect each other but not whether, or how, they do vivo. To overcome this limitation, we introduce novel combined experimental and statistical strategy for efficiently learning brain, refer as "effectome". Specifically, propose an estimator dynamical systems brain that uses stochastic optogenetic perturbation data accurately estimate effects prior drastically improve estimation efficiency. We then analyze circuits have greatest total effect on dynamics discover that, fortunately, dominant significantly involve only relatively small populations neurons-thus imaging, stimulation, neuronal identification are feasible. Intriguingly, find approach also re-discovers known generates testable hypotheses about their dynamics. Overall, our analyses provide evidence global generated large collection often anatomically localized operating, largely, independently other. turn implies principal neuroscience, be feasibly obtained fly.

Language: Английский

Mapping the neural dynamics of locomotion across the Drosophila brain DOI

Bella E. Brezovec,

Andrew B. Berger,

Yukun A. Hao

et al.

Current Biology, Journal Year: 2024, Volume and Issue: 34(4), P. 710 - 726.e4

Published: Jan. 21, 2024

Language: Английский

Citations

28
Descending networks transform command signals into population motor control DOI Creative Commons
Jonas Braun, Femke Hurtak, Sibo Wang

et al.

Nature, Journal Year: 2024, Volume and Issue: 630(8017), P. 686 - 694

Published: June 5, 2024

Abstract To convert intentions into actions, movement instructions must pass from the brain to downstream motor circuits through descending neurons (DNs). These include small sets of command-like that are sufficient drive behaviours 1 —the circuit mechanisms for which remain unclear. Here we show DNs in Drosophila directly recruit networks additional orchestrate require active control numerous body parts. Specifically, found previously thought alone 2–4 fact co-activate larger populations DNs. Connectome analyses and experimental manipulations revealed this functional recruitment can be explained by direct excitatory connections between interconnected brain. Descending population is necessary behavioural control: with many partners network co-activation complete only simple stereotyped movements their absence. DN reside within behaviour-specific clusters inhibit one another. results support a mechanism generated increasingly large compose combining multiple subroutines.

Language: Английский

Citations

16
Neural correlates of future volitional action inDrosophila DOI Creative Commons

Luke E. Brezovec,

Andrew B. Berger,

Shaul Druckmann

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2023, Volume and Issue: unknown

Published: Sept. 9, 2023

Abstract The ability to act voluntarily is fundamental animal behavior 1,2,3,4,5 . For example, self-directed movements are critical exploration, particularly in the absence of external sensory signals that could shape a trajectory. However, how neural networks might plan future changes direction salient cues unknown. Here we use volumetric two-photon imaging map activity associated with walking across entire brain fruit fly Drosophila , register these animals micron precision, and generate dataset ∼20 billion measurements thousands bouts voluntary movements. We define spatially clustered selectively forward angular velocity, reveal turning widespread asymmetric between hemispheres. Strikingly, this asymmetry interhemispheric dynamics emerges more than 10 seconds before turn within specific region motor control, Inferior Posterior Slope (IPS). This early, local difference predicts turns on trial-by-trial basis, revealing long-term planning. As each neither trained, nor guided by cues, it must be internally determined. therefore propose pre-motor center contains substrate volitional action.

Language: Английский

Citations

4
Networks of descending neurons transform command-like signals into population-based behavioral control DOI Creative Commons
Jonas Braun, Femke Hurtak, Sibo Wang

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2023, Volume and Issue: unknown

Published: Sept. 12, 2023

Abstract To transform intentions into actions, movement instructions must pass from the brain to downstream motor circuits through descending neurons (DNs). These include small sets of command-like that are sufficient drive behaviors—the circuit mechanisms for which remain unclear. Here, we show DNs in Drosophila directly recruit networks additional orchestrate flexible behaviors. Specifically, found optogenetic activation previously thought behaviors alone fact co-activate larger populations DNs. Connectome analysis revealed this functional recruitment can be explained by direct excitatory connections between and interconnected brain. The size DN is predictive whether population necessary generate a complete behavior: with many partners require network behaviors, while fewer stereotyped simple movements. Finally, reside within behavior-specific clusters inhibit one another. results support mechanism control whereby continuum generated increasingly large likely construct behavior combining multiple subroutines.

Language: Английский

Citations

4
BIFROST: A method for registering diverse imaging datasets of the Drosophila brain DOI Creative Commons

Bella E. Brezovec,

Andrew B. Berger,

Yukun A. Hao

et al.

Proceedings of the National Academy of Sciences, Journal Year: 2024, Volume and Issue: 121(47)

Published: Nov. 14, 2024

Imaging methods that span both functional measures in living tissue and anatomical fixed have played critical roles advancing our understanding of the brain. However, making direct comparisons between different imaging modalities, particularly spanning tissue, has remained challenging. For example, comparing brain-wide neural dynamics across experiments aligning such data to resources, as gene expression patterns or connectomes, requires precise alignment a common set coordinates. reaching this goal is difficult because registering vivo ex reference atlases accommodating differences modality, microscope specification, sample preparation. We overcome these challenges

Language: Английский

Citations

1
From connectome to effectome: learning the causal interaction map of the fly brain DOI Creative Commons
Dean A. Pospisil, Max Jameson Aragon, Sven Dorkenwald

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2023, Volume and Issue: unknown

Published: Nov. 3, 2023

A long-standing goal of neuroscience is to obtain a causal model the nervous system. This would allow neuroscientists explain animal behavior in terms dynamic interactions between neurons. The recently reported whole-brain fly connectome [1-7] specifies synaptic paths by which neurons can affect each other but not whether, or how, they do vivo. To overcome this limitation, we introduce novel combined experimental and statistical strategy for efficiently learning brain, refer as "effectome". Specifically, propose an estimator dynamical systems brain that uses stochastic optogenetic perturbation data accurately estimate effects prior drastically improve estimation efficiency. We then analyze circuits have greatest total effect on dynamics discover that, fortunately, dominant significantly involve only relatively small populations neurons-thus imaging, stimulation, neuronal identification are feasible. Intriguingly, find approach also re-discovers known generates testable hypotheses about their dynamics. Overall, our analyses provide evidence global generated large collection often anatomically localized operating, largely, independently other. turn implies principal neuroscience, be feasibly obtained fly.

Language: Английский

Citations

2