Comparative connectomics of the descending and ascending neurons of theDrosophilanervous system: stereotypy and sexual dimorphism

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: June 6, 2024

In most complex nervous systems there is a clear anatomical separation between the nerve cord, which contains of final motor outputs necessary for behaviour, and brain. insects, neck connective both physical information bottleneck connecting brain ventral cord (VNC, spinal analogue) comprises diverse populations descending (DN), ascending (AN) sensory neurons, are crucial sensorimotor signalling control. Integrating three separate EM datasets, we now provide complete connectomic description neurons female system

Language: Английский

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Divergent neural circuits for proprioceptive and exteroceptive sensing of theDrosophilaleg

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: April 28, 2024

Abstract Somatosensory neurons provide the nervous system with information about mechanical forces originating inside and outside body. Here, we use connectomics from electron microscopy to reconstruct analyze neural circuits downstream of largest somatosensory organ in Drosophila leg, femoral chordotonal (FeCO). The FeCO has been proposed support both proprioceptive sensing fly’s femur-tibia joint exteroceptive substrate vibrations, but it was unknown which sensory central contribute each these functions. We found that different subtypes feed into distinct pathways. Position- movement-encoding connect local leg motor control ventral nerve cord (VNC), indicating a function. In contrast, signals vibration-encoding are integrated across legs transmitted mechanosensory regions brain, an Overall, our analyses reveal structure specialized for processing fly leg. These findings consistent growing body work invertebrate vertebrate species demonstrating existence limb pathways external vibrations.

Language: Английский

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Sensorimotor delays constrain robust locomotion in a 3D kinematic model of fly walking

Published: March 20, 2025

Walking animals must maintain stability in the presence of external perturbations, despite significant temporal delays neural signaling and muscle actuation. Here, we develop a 3D kinematic model with layered control architecture to investigate how sensorimotor constrain robustness walking behavior fruit fly, Drosophila. Motivated by anatomical insect locomotor circuits, our consists three component layers: network that generates realistic joint kinematics for each leg, an optimal controller executes while accounting delays, inter-leg coordinator. The simulated resembles real fly sustains even when subjected unexpected generalizing beyond its training data. However, found model’s perturbations deteriorates delay parameters exceed physiological range. These results suggest circuits operate close limit at which they can detect respond perturbations. More broadly, show modular, be used constraints on animal behavior.

Language: Английский

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Comparative connectomics of Drosophila descending and ascending neurons

Nature, Journal Year: 2025, Volume and Issue: unknown

Published: April 30, 2025

In most complex nervous systems there is a clear anatomical separation between the nerve cord, which contains of final motor outputs necessary for behaviour, and brain. insects, neck connective both physical an information bottleneck connecting brain ventral cord (an analogue spinal cord) comprises diverse populations descending neurons (DNs), ascending (ANs) sensory neurons, are crucial sensorimotor signalling control. Here, by integrating three separate electron microscopy (EM) datasets1-4, we provide complete connectomic description ANs DNs Drosophila female system compare them with male cord. Proofread neuronal reconstructions matched across hemispheres, datasets sexes. Crucially, also match 51% DN cell types to light-level data5 defining specific driver lines, as well classifying all populations. We use these results reveal circuit logic neurons. observe connected chains spanning neck, may subserve sequences. sexually dimorphic AN populations, detailed analyses selected circuits reproductive behaviours, including courtship6 (DNa12; known aSP22) song production7 (AN from hemilineage 08B) ovipositor extrusion8 (DNp13). Our work provides EM-level that span entire central adult animal.

Language: Английский

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Divergent neural circuits for proprioceptive and exteroceptive sensing of the Drosophila leg

Nature Communications, Journal Year: 2025, Volume and Issue: 16(1)

Published: May 2, 2025

Abstract Somatosensory neurons provide the nervous system with information about mechanical forces originating inside and outside body. Here, we use connectomics from electron microscopy to reconstruct analyze neural circuits downstream of largest somatosensory organ in Drosophila leg, femoral chordotonal (FeCO). The FeCO has been proposed support both proprioceptive sensing fly’s femur-tibia joint exteroceptive substrate vibrations, but it was unknown which sensory central contribute each these functions. We found that different subtypes feed into distinct pathways. Position- movement-encoding connect local leg motor control ventral nerve cord (VNC), indicating a function. In contrast, signals vibration-encoding are integrated across legs transmitted mechanosensory regions brain, an Overall, our analyses reveal structure specialized for processing fly leg. These findings consistent growing body work invertebrate vertebrate species demonstrating existence limb pathways external vibrations.

Language: Английский

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Sensorimotor delays constrain robust locomotion in a 3D kinematic model of fly walking

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: April 22, 2024

Abstract Walking animals must maintain stability in the presence of external perturbations, despite significant temporal delays neural signaling and muscle actuation. Here, we develop a 3D kinematic model with layered control architecture to investigate how sensorimotor constrain robustness walking behavior fruit fly, Drosophila. Motivated by anatomical insect locomotor circuits, our consists three component layers: network that generates realistic joint kinematics for each leg, an optimal controller executes while accounting delays, inter-leg coordinator. The simulated resembles real fly sustains even when subjected unexpected generalizing beyond its training data. However, found model’s perturbations deteriorates delay parameters exceed physiological range. These results suggest circuits operate close limit at which they can detect respond perturbations. More broadly, show modular, be used constraints on animal behavior.

Language: Английский

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Inhibitory circuits coordinate leg movements duringDrosophilagrooming

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: June 6, 2024

Limbs execute diverse actions coordinated by the nervous system through multiple motor programs. The basic architecture of neurons that activate muscles articulate joints for antagonistic flexion and extension movements is conserved from flies to vertebrates. While excitatory premotor circuits are expected establish sets leg work together, our study uncovered a new instructive role inhibitory circuits: their ability generate rhythmic movements. Using electron microscopy data Drosophila nerve cord, we categorized ~120 GABAergic 13A 13B hemi-lineages into classes based on similarities in morphology connectivity. By mapping synaptic partners, pathways inhibiting specific groups neurons, disinhibiting counterparts, inducing alternation between extension. We tested function optogenetic activation silencing, using an in-depth ethological analysis during grooming. combined anatomy behavior findings construct computational model can reproduce major aspects observed behavior, confirming sufficiency these rhythms.

Language: Английский

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Sensorimotor delays constrain robust locomotion in a 3D kinematic model of fly walking

Published: Aug. 27, 2024

Walking animals must maintain stability in the presence of external perturbations, despite significant temporal delays neural signaling and muscle actuation. Here, we develop a 3D kinematic model with layered control architecture to investigate how sensorimotor constrain robustness walking behavior fruit fly, Drosophila . Motivated by anatomical insect locomotor circuits, our consists three component layers: network that generates realistic joint kinematics for each leg, an optimal controller executes while accounting delays, inter-leg coordinator. The simulated matches real fly sustains even when subjected unexpected generalizing beyond its training data. However, found model’s perturbations deteriorates delay parameters exceed physiological range. These results suggest circuits operate close limit at which they can detect respond perturbations. More broadly, show modular, be used constraints on animal behavior.

Language: Английский

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GABA Increases Sensory Transmission In Monkeys

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

Published: Dec. 28, 2023

ABSTRACT Sensory input flow is central to voluntary movements. For almost a century, GABA was believed modulate this by inhibiting sensory axons in the spinal cord sculpt neural inputs into skilled motor output. Instead, here we show that can also facilitate transmission monkeys and consequently increase cortical responses challenging our understanding of generation perception movement.

Language: Английский

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Modelling Sensory Attenuation as Bayesian Causal Inference across two Datasets

Published: March 27, 2024

Introduction. To interact with the environment, it is crucial to distinguish between sensory information that externally generated and inputs are self-generated. The consequences of one’s own movements tend induce attenuated behavioral- neural responses compared inputs. We propose a computational model attenuation (SA) based on Bayesian Causal Inference, where SA occurs when an internal cause for inferred. Methods. Experiment 1investigates during stroking movement. Tactile stimuli finger were suppressed, especially they predictable. 2 showed impaired delay detection arm movement video participants moving vs. their was moved passively. reconsider these results from perspective Inference (BCI). Using hierarchical Markov Model (HMM) variational message passing, we first qualitatively capture patterns task behavior in simulations. Next, identify participant-specific parameters both experiments using optimization. Results. A sequential BCI well equipped empirical across datasets. optimized parameters, find good agreement data predictions, capturing tactile detections 1 2. Discussion. appropriate framework humans. Computational models may help bridge gap different modalities experimental paradigms contribute towards improved description understanding deficits specific patient groups (e.g. schizophrenia).

Language: Английский

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