
Current Biology, Год журнала: 2021, Номер 31(23), С. 5341 - 5349.e4
Опубликована: Сен. 2, 2021
Язык: Английский
Current Biology, Год журнала: 2021, Номер 31(23), С. 5341 - 5349.e4
Опубликована: Сен. 2, 2021
Язык: Английский
Science, Год журнала: 2023, Номер 379(6636)
Опубликована: Март 10, 2023
Brains contain networks of interconnected neurons and so knowing the network architecture is essential for understanding brain function. We therefore mapped synaptic-resolution connectome an entire insect ( Drosophila larva) with rich behavior, including learning, value computation, action selection, comprising 3016 548,000 synapses. characterized neuron types, hubs, feedforward feedback pathways, as well cross-hemisphere brain-nerve cord interactions. found pervasive multisensory interhemispheric integration, highly recurrent architecture, abundant from descending neurons, multiple novel circuit motifs. The brain’s most circuits comprised input output learning center. Some structural features, multilayer shortcuts nested loops, resembled state-of-the-art deep architectures. identified provides a basis future experimental theoretical studies neural circuits.
Язык: Английский
Процитировано
274Cell, Год журнала: 2021, Номер 184(3), С. 759 - 774.e18
Опубликована: Янв. 7, 2021
Язык: Английский
Процитировано
220Nature, Год журнала: 2021, Номер 592(7854), С. 414 - 420
Опубликована: Апрель 7, 2021
Язык: Английский
Процитировано
81Philosophical Transactions of the Royal Society B Biological Sciences, Год журнала: 2021, Номер 376(1821), С. 20190764 - 20190764
Опубликована: Фев. 8, 2021
Discussions of the function early nervous systems usually focus on a causal flow from sensors to effectors, by which an animal coordinates its actions with exogenous changes in environment. We propose, instead, that much sensing was
Язык: Английский
Процитировано
74eLife, Год журнала: 2021, Номер 10
Опубликована: Май 11, 2021
The mechanisms specifying neuronal diversity are well characterized, yet it remains unclear how or if these regulate neural circuit assembly. To address this, we mapped the developmental origin of 160 interneurons from seven bilateral progenitors (neuroblasts) and identify them in a synapse-scale TEM reconstruction Drosophila larval central nervous system. We find that lineages concurrently build sensory motor neuropils by generating hemilineages Notch-dependent manner. Neurons hemilineage share common synaptic targeting within neuropil, which is further refined based on temporal identity. Connectome analysis shows hemilineage-temporal cohorts connectivity. Finally, show proximity alone cannot explain observed connectivity structure, suggesting hemilineage/temporal identity confers an added layer specificity. Thus, demonstrate also govern formation function, principles broadly applicable throughout
Язык: Английский
Процитировано
68Neuron, Год журнала: 2023, Номер 111(22), С. 3554 - 3569.e7
Опубликована: Авг. 22, 2023
Although neuronal subtypes display unique synaptic organization and function, the underlying transcriptional differences that establish these features are poorly understood. To identify molecular pathways contribute to diversity, single-neuron Patch-seq RNA profiling was performed on Drosophila tonic phasic glutamatergic motoneurons. Tonic motoneurons form weaker facilitating synapses onto single muscles, while stronger depressing multiple muscles. Super-resolution microscopy in vivo imaging demonstrated active zones more compact enhanced Ca2+ influx compared with their counterparts. Genetic analysis identified properties mapped gene expression for several cellular pathways, including distinct signaling ligands, post-translational modifications, intracellular buffers. These findings provide insights into how transcriptomes drive functional morphological between subtypes.
Язык: Английский
Процитировано
32Proceedings of the National Academy of Sciences, Год журнала: 2023, Номер 120(11)
Опубликована: Март 10, 2023
How does neural activity drive muscles to produce behavior? The recent development of genetic lines in Hydra that allow complete calcium imaging both neuronal and muscle activity, as well systematic machine learning quantification behaviors, makes this small cnidarian an ideal model system understand the transformation from firing body movements. To achieve this, we have built a neuromechanical ’s fluid-filled hydrostatic skeleton, showing how by activates distinct patterns column biomechanics. Our is based on experimental measurements assumes gap junctional coupling among cells calcium-dependent force generation muscles. With these assumptions, can robustly reproduce basic set behaviors. We further explain puzzling observations, including dual timescale kinetics observed activation engagement ectodermal endodermal different This work delineates spatiotemporal control space movement serve template for future efforts systematically decipher transformations basis behavior.
Язык: Английский
Процитировано
30bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2024, Номер unknown
Опубликована: Март 17, 2024
Abstract Nervous systems coordinate effectors across the body during movements. We know little about cellular-level structure of synaptic circuits for such body-wide control. Here we describe whole-body connectome a segmented larva marine annelid Platynereis dumerilii . reconstructed and annotated over 9,000 neuronal non-neuronal cells in serial electron microscopy dataset. Differentiated were classified into 202 92 cell types. analyse modularity, multisensory integration, left-right intersegmental connectivity motor ciliated cells, glands, pigment muscles. identify several segment-specific types, demonstrating heteromery larval trunk. At same time, segmentally repeated types head, trunk segments pygidium suggest homology all segmental regions. also report descending ascending pathways, peptidergic multi-modal mechanosensory girdle. Our work provides basis understanding coordination an entire animal.
Язык: Английский
Процитировано
10Current Opinion in Neurobiology, Год журнала: 2020, Номер 65, С. 129 - 137
Опубликована: Ноя. 23, 2020
The larva of Drosophila melanogaster is emerging as a powerful model system for comprehensive brain-wide understanding the circuit implementation neural computations. With an unprecedented amount tools in hand, including synaptic-resolution connectomics, whole-brain imaging, and genetic selective targeting single neuron types, it possible to dissect which circuits computations are at work behind behaviors that have interesting level complexity. Here we present some recent advances regarding multisensory integration, learning, action selection larva.
Язык: Английский
Процитировано
54Biology, Год журнала: 2021, Номер 10(2), С. 90 - 90
Опубликована: Янв. 25, 2021
The control of movements is a fundamental feature shared by all animals. At the most basic level, simple are generated coordinated neural activity and muscle contraction patterns that controlled central nervous system. How behavioral responses to various sensory inputs processed integrated downstream network produce flexible adaptive behaviors remains an intense area investigation in many laboratories. Due recent advances experimental techniques, pathways underlying animal have now been elucidated. For example, while role motor neurons locomotion has studied great detail, roles interneurons both noxious environments only recently realized. However, genetic transmitter identities these unclear. In this review, we provide overview circuitry required Drosophila larvae successful movements. By improving our understanding locomotor model systems such as Drosophila, will better how circuits organisms with different bodies brains lead distinct types at organism level. physiological components also provides directions understand higher organisms.
Язык: Английский
Процитировано
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