A connectome and analysis of the adult Drosophila central brain

eLife, Год журнала: 2020, Номер 9

Опубликована: Сен. 3, 2020

The neural circuits responsible for animal behavior remain largely unknown. We summarize new methods and present the circuitry of a large fraction brain fruit fly Drosophila melanogaster . Improved include procedures to prepare, image, align, segment, find synapses in, proofread such data sets. define cell types, refine computational compartments, provide an exhaustive atlas examples many them novel. detailed consisting neurons their chemical most central brain. make public simplify access, reducing effort needed answer circuit questions, linking defined by our analysis with genetic reagents. Biologically, we examine distributions connection strengths, motifs on different scales, electrical consequences compartmentalization, evidence that maximizing packing density is important criterion in evolution fly’s

Язык: Английский

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The connectome of the adult Drosophila mushroom body provides insights into function

eLife, Год журнала: 2020, Номер 9

Опубликована: Дек. 14, 2020

Making inferences about the computations performed by neuronal circuits from synapse-level connectivity maps is an emerging opportunity in neuroscience. The mushroom body (MB) well positioned for developing and testing such approach due to its conserved architecture, recently completed dense connectome, extensive prior experimental studies of roles learning, memory, activity regulation. Here, we identify new components MB circuit Drosophila, including visual input output neurons (MBONs) with direct connections descending neurons. We find unexpected structure sensory inputs, transfer information different modalities MBONs, modulation that dopaminergic (DANs). provide insights into circuitry used integrate outputs, between central complex inputs DANs, feedback MBONs. Our results a foundation further theoretical work.

Язык: Английский

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The natverse, a versatile toolbox for combining and analysing neuroanatomical data

eLife, Год журнала: 2020, Номер 9

Опубликована: Апрель 14, 2020

To analyse neuron data at scale, neuroscientists expend substantial effort reading documentation, installing dependencies and moving between analysis visualisation environments. facilitate this, we have developed a suite of interoperable open-source R packages called the natverse. The natverse allows users to read local remote data, perform popular analyses including clustering graph-theoretic neuronal branching. Unlike most tools, enables comparison across many neurons morphology connectivity after imaging or co-registration within common template space. also transformations different spaces modalities. We demonstrate tools that integrate vast majority

Язык: Английский

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Information flow, cell types and stereotypy in a full olfactory connectome

eLife, Год журнала: 2021, Номер 10

Опубликована: Май 25, 2021

The

Язык: Английский

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Neurotransmitter classification from electron microscopy images at synaptic sites in Drosophila melanogaster

Cell, Год журнала: 2024, Номер 187(10), С. 2574 - 2594.e23

Опубликована: Май 1, 2024

High-resolution electron microscopy of nervous systems has enabled the reconstruction synaptic connectomes. However, we do not know sign for each connection (i.e., whether a is excitatory or inhibitory), which implied by released transmitter. We demonstrate that artificial neural networks can predict transmitter types presynapses from micrographs: network trained to six transmitters (acetylcholine, glutamate, GABA, serotonin, dopamine, octopamine) achieves an accuracy 87% individual synapses, 94% neurons, and 91% known cell across D. melanogaster whole brain. visualize ultrastructural features used prediction, discovering subtle but significant differences between phenotypes. also analyze distributions brain find neurons develop together largely express only one fast-acting GABA). hope our publicly available predictions act as accelerant neuroscientific hypothesis generation fly.

Язык: Английский

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A searchable image resource of Drosophila GAL4 driver expression patterns with single neuron resolution

eLife, Год журнала: 2023, Номер 12

Опубликована: Фев. 23, 2023

Precise, repeatable genetic access to specific neurons via GAL4/UAS and related methods is a key advantage of

Язык: Английский

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Multisensory learning binds neurons into a cross-modal memory engram

Nature, Год журнала: 2023, Номер 617(7962), С. 777 - 784

Опубликована: Апрель 26, 2023

Associating multiple sensory cues with objects and experience is a fundamental brain process that improves object recognition memory performance. However, neural mechanisms bind features during learning augment expression are unknown. Here we demonstrate multisensory appetitive aversive in Drosophila. Combining colours odours improved performance, even when each modality was tested alone. Temporal control of neuronal function revealed visually selective mushroom body Kenyon cells (KCs) to be required for enhancement both visual olfactory after training. Voltage imaging head-fixed flies showed binds activity between streams modality-specific KCs so unimodal input generates multimodal response. Binding occurs regions the KC axons, which receive valence-relevant dopaminergic reinforcement, propagated downstream. Dopamine locally releases GABAergic inhibition permit specific microcircuits within KC-spanning serotonergic neurons as an excitatory bridge previously 'modality-selective' streams. Cross-modal binding thereby expands representing engram into those other. This broadening performance permits single feature retrieve experience.

Язык: Английский

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Connectome-driven neural inventory of a complete visual system

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2024, Номер unknown

Опубликована: Апрель 18, 2024

Vision provides animals with detailed information about their surroundings, conveying diverse features such as color, form, and movement across the visual scene. Computing these parallel spatial requires a large network of neurons, that in distant flies humans, regions comprise half brain's volume. These brain often reveal remarkable structure-function relationships, neurons organized along maps shapes directly relate to roles processing. To unravel stunning diversity complex system, careful mapping neural architecture matched tools for targeted exploration circuitry is essential. Here, we report new connectome right optic lobe from male Drosophila central nervous system FIB-SEM volume comprehensive inventory fly's neurons. We developed computational framework quantify anatomy establishing basis interpreting how vision. By integrating this analysis connectivity information, neurotransmitter identity, expert curation, classified ~53,000 into 727 types, which are systematically described named first time. Finally, share an extensive collection split-GAL4 lines our neuron type catalog. Together, set data unlock possibilities systematic investigations vision Drosophila, foundation deeper understanding sensory

Язык: Английский

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NeuronBridge: an intuitive web application for neuronal morphology search across large data sets

BMC Bioinformatics, Год журнала: 2024, Номер 25(1)

Опубликована: Март 15, 2024

Abstract Background Neuroscience research in Drosophila is benefiting from large-scale connectomics efforts using electron microscopy (EM) to reveal all the neurons a brain and their connections. To exploit this knowledge base, researchers relate connectome’s structure neuronal function, often by studying individual neuron cell types. Vast libraries of fly driver lines expressing fluorescent reporter genes sets have been created imaged confocal light (LM), enabling targeting for experimentation. However, creating line driving gene expression within single found an EM connectome remains challenge, as it typically requires identifying pair where only interest expressed both. This task other emerging scientific workflows require finding similar across large data different modalities. Results Here, we present NeuronBridge, web application easily rapidly putative morphological matches between We describe functionality construction NeuronBridge service, including its user-friendly graphical user interface (GUI), extensible model, serverless cloud architecture, massively parallel image search engine. Conclusions fills critical gap workflow used hundreds neuroscience around world. offer our software code, open APIs, processed integration reuse, provide service at http://neuronbridge.janelia.org .

Язык: Английский

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Transforming descending input into behavior: The organization of premotor circuits in the Drosophila Male Adult Nerve Cord connectome

Опубликована: Март 18, 2024

In most animals, a relatively small number of descending neurons (DNs) connect higher brain centers in the animal’s head to circuits and motor (MNs) nerve cord body that effect movement limbs. To understand how signals generate behavior, it is critical these pathways are organized onto MNs. fly, Drosophila melanogaster , MNs controlling muscles leg, wing, other systems reside ventral (VNC), analogous mammalian spinal cord. companion papers, we introduced densely-reconstructed connectome Male Adult Nerve Cord (MANC, Takemura et al., 2023), including cell type developmental lineage annotation (Marin which provides complete VNC connectivity at synaptic resolution. Here, present first look organization networks connecting DNs based on this new information. We proofread curated all ensure accuracy reliability, then systematically matched DN axon terminals MN dendrites with light microscopy data link their morphology inputs or muscle targets. report both broad organizational patterns entire network fine-scale analysis selected interest. discover direct DN-MN connections infrequent identify communities intrinsic linked control different systems, putative for walking, dorsal flight steering power generation, intermediate lower tectulum coordinated action wings legs. Our generates hypotheses future functional experiments and, together MANC connectome, empowers others investigate richer mechanistic detail.

Язык: Английский

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