Multiphoton imaging of neural structure and activity in Drosophila through the intact cuticle DOI Creative Commons
Max Jameson Aragon, Aaron T. Mok, Jamien Shea

и другие.

eLife, Год журнала: 2022, Номер 11

Опубликована: Янв. 24, 2022

We developed a multiphoton imaging method to capture neural structure and activity in behaving flies through the intact cuticle. Our measurements showed that fly head cuticle has surprisingly high transmission at wavelengths >900nm, difficulty of through-cuticle is due air sacs and/or fat tissue underneath By compressing or removing sacs, we performed brain anatomical functional results show 2- 3-photon are comparable superficial regions such as mushroom body, but superior deeper central complex beyond. further demonstrated 2-photon odor-evoked calcium responses from body γ-lobes short term long term. The here extends time limits vivo opens new ways brain.

Язык: Английский

The connectome of the adult Drosophila mushroom body provides insights into function DOI Creative Commons
Feng Li, Jack Lindsey, Elizabeth C. Marin

и другие.

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

Процитировано

347

The natverse, a versatile toolbox for combining and analysing neuroanatomical data DOI Creative Commons
Alexander Shakeel Bates, James D. Manton, Sridhar R. Jagannathan

и другие.

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

Процитировано

206

Complete Connectomic Reconstruction of Olfactory Projection Neurons in the Fly Brain DOI Creative Commons
Alexander Shakeel Bates, Philipp Schlegel, Ruairí J.V. Roberts

и другие.

Current Biology, Год журнала: 2020, Номер 30(16), С. 3183 - 3199.e6

Опубликована: Июль 2, 2020

Nervous systems contain sensory neurons, local projection and motor neurons. To understand how these building blocks form whole circuits, we must distil broad classes into neuronal cell types describe their network connectivity. Using an electron micrograph dataset for entire Drosophila melanogaster brain, reconstruct the first complete inventory of olfactory projections connecting antennal lobe, insect analog mammalian bulb, to higher-order brain regions in adult animal brain. We then connect this extant data literature, providing synaptic-resolution "holotypes" both heavily investigated previously unknown types. Projection neurons are approximately twice as numerous reported by light level studies; stereotyped, but not identical, synapse numbers between hemispheres. The lateral horn, cortical amygdala, is main target information has been shown guide innate behavior. Here, find new connectivity motifs, including axo-axonic feedback, inhibition axons a large population convergence different inputs, non-olfactory inputs memory-related feedback onto third-order These features less prominent mushroom body calyx, piriform cortex center associative memory. Our work provides neuroanatomical platform future studies system.

Язык: Английский

Процитировано

175

Information flow, cell types and stereotypy in a full olfactory connectome DOI Creative Commons
Philipp Schlegel, Alexander Shakeel Bates, Tomke Stürner

и другие.

eLife, Год журнала: 2021, Номер 10

Опубликована: Май 25, 2021

The

Язык: Английский

Процитировано

144

The emergence and influence of internal states DOI Creative Commons
Steven W. Flavell, Nadine Gogolla, Matthew Lovett-Barron

и другие.

Neuron, Год журнала: 2022, Номер 110(16), С. 2545 - 2570

Опубликована: Май 27, 2022

Язык: Английский

Процитировано

142

Neurotransmitter classification from electron microscopy images at synaptic sites in Drosophila melanogaster DOI Creative Commons
Nils Eckstein, Alexander Shakeel Bates, Andrew Champion

и другие.

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

Процитировано

115

A neural circuit for wind-guided olfactory navigation DOI Creative Commons
Andrew M. M. Matheson, Aaron J. Lanz,

Ashley M. Medina

и другие.

Nature Communications, Год журнала: 2022, Номер 13(1)

Опубликована: Авг. 8, 2022

Abstract To navigate towards a food source, animals frequently combine odor cues about source identity with wind direction location. Where and how these two are integrated to support navigation is unclear. Here we describe pathway the Drosophila fan-shaped body that encodes attractive promotes upwind navigation. We show neurons throughout this encode odor, but not direction. Using connectomics, identify local called h∆C receive input from previously described pathway. exhibit odor-gated, direction-tuned activity, sparse activation of in reproducible direction, activity required for persistent orientation during odor. Based on connectome data, develop computational model showing can promote goal such as an source. Our results suggest processed by separate pathways within goal-directed

Язык: Английский

Процитировано

91

Elementary sensory-motor transformations underlying olfactory navigation in walking fruit-flies DOI Creative Commons

Efrén Álvarez-Salvado,

Angela Licata,

Erin Connor

и другие.

eLife, Год журнала: 2018, Номер 7

Опубликована: Авг. 21, 2018

Odor attraction in walking Drosophila melanogaster is commonly used to relate neural function behavior, but the algorithms underlying are unclear. Here, we develop a high-throughput assay measure olfactory behavior response well-controlled sensory stimuli. We show that odor evokes two behaviors: an upwind run during (ON response), and local search at offset (OFF response). Wind orientation requires antennal mechanoreceptors, driven solely by odor. Using dynamic stimuli, dependence of these behaviors on intensity history. Based data, navigation model recapitulates flies our apparatus, generates realistic trajectories when turbulent boundary layer plume. The ability parse into quantifiable elementary sensori-motor transformations provides foundation for dissecting circuits govern behavior.

Язык: Английский

Процитировано

135

Neurotransmitter Classification from Electron Microscopy Images at Synaptic Sites in Drosophila Melanogaster DOI Creative Commons
Nils Eckstein, Alexander Shakeel Bates, Andrew Champion

и другие.

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2020, Номер unknown

Опубликована: Июнь 13, 2020

Abstract High-resolution electron microscopy of nervous systems enables the reconstruction connectomes. A key piece missing information from connectomes is synaptic sign. We show that for D. melanogaster , artificial neural networks can predict transmitter type released at synapses micrographs and thus add putative signs to connections. Our network discriminates between six transmitters (acetylcholine, glutamate, GABA, serotonin, dopamine, octopamine) with an average accuracy 87%/94% synapses/entire neurons. developed explainability method reveal which features our using found significant ultrastructural differences classical transmitters. in two characterize morphological connection properties tens thousands neurons classed by predicted expression. find hemilineages largely express only one fastacting among their Furthermore, we different may differ like polarization projection targets.

Язык: Английский

Процитировано

112

The neural basis for a persistent internal state in Drosophila females DOI Creative Commons
David Deutsch, Diego A. Pacheco,

Lucas Encarnacion-Rivera

и другие.

eLife, Год журнала: 2020, Номер 9

Опубликована: Ноя. 23, 2020

Sustained changes in mood or action require persistent neural activity, but it has been difficult to identify the circuit mechanisms that underlie activity and contribute long-lasting behavior. Here, we show a subset of Doublesex+ pC1 neurons Drosophila female brain, called pC1d/e, can drive minutes-long behavior presence males. Using automated reconstruction volume electron microscopic (EM) image map all inputs outputs both pC1d pC1e. This reveals strong recurrent connectivity between, particular, pC1d/e specific Fruitless+ aIPg. We additionally find activation drives brain areas cells overlapping with network, including neurons. Our work thus links architecture brain.

Язык: Английский

Процитировано

87