Sleep is required to consolidate odor memory and remodel olfactory synapses DOI Creative Commons
Rashmi Chandra,

Fatima Farah,

Fernando Muñoz-Lobato

et al.

Cell, Journal Year: 2023, Volume and Issue: 186(13), P. 2911 - 2928.e20

Published: June 1, 2023

Animals with complex nervous systems demand sleep for memory consolidation and synaptic remodeling. Here, we show that, although the Caenorhabditis elegans system has a limited number of neurons, is necessary both processes. In addition, it unclear if, in any system, collaborates experience to alter synapses between specific neurons whether this ultimately affects behavior. C. have defined connections well-described contributions We that spaced odor-training post-training induce long-term memory. Memory consolidation, but not acquisition, requires pair interneurons, AIYs, which play role odor-seeking worms consolidate memory, odor conditioning are required diminish inhibitory AWC chemosensory AIYs. Thus, demonstrate living organism events immediately after training drive structures.

Language: Английский

Whole-brain annotation and multi-connectome cell typing quantifies circuit stereotypy inDrosophila DOI Creative Commons
Philipp Schlegel, Yijie Yin, Alexander Shakeel Bates

et al.

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

Published: June 27, 2023

Abstract The fruit fly Drosophila melanogaster combines surprisingly sophisticated behaviour with a highly tractable nervous system. A large part of the fly’s success as model organism in modern neuroscience stems from concentration collaboratively generated molecular genetic and digital resources. As presented our FlyWire companion paper 1 , this now includes first full brain connectome an adult animal. Here we report systematic hierarchical annotation ∼130,000-neuron including neuronal classes, cell types developmental units (hemilineages). This enables any researcher to navigate huge dataset find systems neurons interest, linked literature through Virtual Fly Brain database 2 . Crucially, resource 4,552 types. 3,094 are rigorous consensus validations previously proposed “hemibrain” 3 In addition, propose 1,458 new types, arising mostly fact that spans whole brain, whereas hemibrain derives subvolume. Comparison showed type counts strong connections were largely stable, but connection weights variable within across animals. Further analysis defined simple heuristics for interpretation: stronger than 10 unitary synapses or providing >1% input target conserved. Some increased variability connectomes: most common mushroom body, required learning memory, is almost twice numerous hemibrain. We evidence functional homeostasis adjustments absolute amount excitatory while maintaining excitation-inhibition ratio. Finally, surprisingly, about one third could not yet be reliably identified connectome. therefore suggest should robust inter-individual variation, namely groups cells quantitatively more similar different other same brain. Joint connectomes demonstrates viability utility definition. Our work defines atlas provides both intellectual framework open source toolchain brain-scale comparative connectomics.

Language: Английский

Citations

85
Neural signal propagation atlas of Caenorhabditis elegans DOI Creative Commons
Francesco Randi, Anuj Kumar Sharma, Sophie Dvali

et al.

Nature, Journal Year: 2023, Volume and Issue: 623(7986), P. 406 - 414

Published: Nov. 1, 2023

Abstract Establishing how neural function emerges from network properties is a fundamental problem in neuroscience 1 . Here, to better understand the relationship between structure and of nervous system, we systematically measure signal propagation 23,433 pairs neurons across head nematode Caenorhabditis elegans by direct optogenetic activation simultaneous whole-brain calcium imaging. We sign (excitatory or inhibitory), strength, temporal causal direction these create functional atlas. find that differs model predictions are based on anatomy. Using mutants, show extrasynaptic signalling not visible anatomy contributes this difference. identify many instances dense-core-vesicle-dependent signalling, including timescales less than second, evoke acute transients—often where no wired connection exists but relevant neuropeptides receptors expressed. propose that, such cases, extrasynaptically released serve similar classical neurotransmitters. Finally, our measured atlas predicts dynamics spontaneous activity do models conclude both synaptic drive short timescales, measurements evoked crucial for interpreting function.

Language: Английский

Citations

81
System-wide mapping of peptide-GPCR interactions in C. elegans DOI Creative Commons
Isabel Beets,

Sven Zels,

Elke Vandewyer

et al.

Cell Reports, Journal Year: 2023, Volume and Issue: 42(9), P. 113058 - 113058

Published: Aug. 31, 2023

Neuropeptides and peptide hormones are ancient, widespread signaling molecules that underpin almost all brain functions. They constitute a broad ligand-receptor network, mainly by binding to G protein-coupled receptors (GPCRs). However, the organization of peptidergic network roles many peptides remain elusive, as our insight into peptide-receptor interactions is limited GPCRs still orphan receptors. Here we report genome-wide peptide-GPCR interaction map in Caenorhabditis elegans. By reverse pharmacology screening over 55,384 possible interactions, identify 461 cognate couples uncover with specific complex combinatorial encoded across within single genes. These provide insights functions evolution. Combining dataset phylogenetic analysis supports co-evolution conservation at least 14 bilaterian systems C. This resource lays foundation for system-wide network.

Language: Английский

Citations

76
Bio‐Inspired 3D Artificial Neuromorphic Circuits DOI
Xuhai Liu, Fengyun Wang, Jie Su

et al.

Advanced Functional Materials, Journal Year: 2022, Volume and Issue: 32(22)

Published: Feb. 26, 2022

Abstract Neuromorphic circuits emulating the bio‐brain functionality via artificial devices have achieved a substantial scientific leap in past decade. However, even with advent of highly advanced bio‐inspired algorithms, intelligence based on current neuromorphic is lagging behind significantly when compared naturally evolved biological neural circuits. This massive and intriguing discrepancy partly due to incomprehensive understanding operating mechanism, which relies heavily extremely complexed entangled 3D hierarchical networks. Configuring hardware combined computing memory functionalities, coupled compatible progress software can be an inevitable route surmount limitation encountered by 2D Herein, referring neuron configuration perspective together detailed signal generation propagation von Neumann state‐of‐the‐art in‐memory architecture, development perspectives are highlighted.

Language: Английский

Citations

70
Neuroscience Needs Network Science DOI Creative Commons
Dániel L. Barabási, Ginestra Bianconi, Edward T. Bullmore

et al.

Journal of Neuroscience, Journal Year: 2023, Volume and Issue: 43(34), P. 5989 - 5995

Published: Aug. 23, 2023

The brain is a complex system comprising myriad of interacting elements, posing significant challenges in understanding its structure, function, and dynamics. Network science has emerged as powerful tool for studying such intricate systems, offering framework integrating multiscale data complexity. Here, we discuss the application network study brain, addressing topics models metrics, connectome, role dynamics neural networks. We explore opportunities multiple streams transitions from development to healthy function disease, potential collaboration between neuroscience communities. underscore importance fostering interdisciplinary through funding initiatives, workshops, conferences, well supporting students postdoctoral fellows with interests both disciplines. By uniting communities, can develop novel network-based methods tailored circuits, paving way towards deeper functions.

Language: Английский

Citations

56
Brain-wide representations of behavior spanning multiple timescales and states in C. elegans DOI Creative Commons

Adam A. Atanas,

Jung Soo Kim, Ziyu Wang

et al.

Cell, Journal Year: 2023, Volume and Issue: 186(19), P. 4134 - 4151.e31

Published: Aug. 21, 2023

Changes in an animal's behavior and internal state are accompanied by widespread changes activity across its brain. However, how neurons the brain encode this is impacted poorly understood. We recorded brain-wide diverse motor programs of freely moving C. elegans built probabilistic models that explain each neuron encodes quantitative behavioral features. By determining identities neurons, we created atlas defined classes connectome behavior. Many have conjunctive representations multiple behaviors. Moreover, although many current actions, others integrate recent actions. behavior, identify these flexible nodes connectome. Our results provide a global map cell types

Language: Английский

Citations

47
Network statistics of the whole-brain connectome of Drosophila DOI Creative Commons
Albert Lin, Runzhe Yang, Sven Dorkenwald

et al.

Nature, Journal Year: 2024, Volume and Issue: 634(8032), P. 153 - 165

Published: Oct. 2, 2024

Language: Английский

Citations

28
Synaptic architecture of leg and wing premotor control networks in Drosophila DOI
Ellen Lesser, Anthony W. Azevedo, Jasper S. Phelps

et al.

Nature, Journal Year: 2024, Volume and Issue: 631(8020), P. 369 - 377

Published: June 26, 2024

Language: Английский

Citations

25
Upgrading the Physiological Relevance of Human Brain Organoids DOI Creative Commons

Ashley Del Dosso,

Jean‐Paul Urenda,

Tuan Nguyen

et al.

Neuron, Journal Year: 2020, Volume and Issue: 107(6), P. 1014 - 1028

Published: Sept. 1, 2020

Language: Английский

Citations

83
Imaging whole-brain activity to understand behaviour DOI
Albert Lin, Daniel Witvliet, Luis Hernandez-Nunez

et al.

Nature Reviews Physics, Journal Year: 2022, Volume and Issue: 4(5), P. 292 - 305

Published: March 8, 2022

Language: Английский

Citations

50