CAVE: Connectome Annotation Versioning Engine DOI Creative Commons
Sven Dorkenwald, Casey M Schneider-Mizell, Derrick Brittain

и другие.

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2023, Номер unknown

Опубликована: Июль 28, 2023

Abstract Advances in Electron Microscopy, image segmentation and computational infrastructure have given rise to large-scale richly annotated connectomic datasets which are increasingly shared across communities. To enable collaboration, users need be able concurrently create new annotations correct errors the automated by proofreading. In large datasets, every proofreading edit relabels cell identities of millions voxels thousands like synapses. For analysis, require immediate reproducible access this constantly changing expanding data landscape. Here, we present Connectome Annotation Versioning Engine (CAVE), a for connectome analysis up-to petascale (∼1mm 3 ) while annotating is ongoing. segmentation, CAVE provides distributed continuous versioning reconstructions. Annotations defined locations such that they can quickly assigned underlying segment enables fast queries CAVE’s arbitrary time points. supports schematized, extensible annotations, so researchers readily design novel annotation types. already used many connectomics including largest available date.

Язык: Английский

Temporal and Notch identity determine layer targeting and synapse location of medulla neurons DOI Creative Commons
Isabel Holguera, Yee‐Chun Chen, Yu‐Chieh Chen

и другие.

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2025, Номер unknown

Опубликована: Янв. 6, 2025

How specification mechanisms that generate neural diversity translate into specific neuronal targeting, connectivity, and function in the adult brain is not understood. In medulla region of Drosophila optic lobe, progenitors different neurons a fixed order by sequentially expressing series temporal transcription factors as they age. Then, Notch signaling intermediate further diversifies progeny. By establishing birth neurons, we found their identity correlates with depth neuropil targeting brain, for both local interneurons projection neurons. We show this identity-dependent unfolds early development genetically determined. leveraging Electron Microscopy reconstruction fly determined synapse location lobe neuropils find it significantly associated status. Moreover, all putative same predicted share similar location, indicating ensembles layers encode visual functions. conclusion, status can predict function, linking developmental patterning connectivity functional features brain.

Язык: Английский

Процитировано

1

Mutual coupling of neurons in the circadian master clock: what we can learn from fruit flies DOI Creative Commons
Charlotte Helfrich‐Förster, Nils Reinhard

Neurobiology of Sleep and Circadian Rhythms, Год журнала: 2025, Номер 18, С. 100112 - 100112

Опубликована: Янв. 18, 2025

Circadian master clocks in the brain consist of multiple neurons that are organized into populations with different morphology, physiology, and neuromessenger content presumably functions. In most animals, these distributed bilaterally, located close proximity to visual system, synchronized by eyes light-dark cycles environment. mammals cockroaches, each two consists a core region receives information from shell which output projections originate, whereas flies several other insects, lateral dorsal regions. all cases, morning evening clock seem exist, communication between them neurons, as well connection across hemispheres, is prerequisite for normal rhythmic function. Phenomena such rhythm splitting, internal desynchronization caused "decoupling" hemispheres or decoupling certain within one hemisphere. Since contain relatively few characterized at individual level, fly particularly suited study neurons. Here, we review organization bilateral brain, focus on synaptic paracrine connections comparison insects mammals.

Язык: Английский

Процитировано

1

Scale-free behavior of weight distributions of connectomes DOI Creative Commons
Michelle T. Cirunay, Géza Ódor, I. Papp

и другие.

Physical Review Research, Год журнала: 2025, Номер 7(1)

Опубликована: Фев. 5, 2025

To determine the precise link between anatomical structure and function, brain studies primarily concentrate on wiring of its topological properties. In this work, we investigate weighted degree connection length distributions KKI-113 KKI-18 human connectomes, fruit fly, mouse retina. We find that node strength (weighted degree) distribution behavior differs depending considered scale. On global scale, are found to follow a power-law behavior, with roughly universal exponent close 3. However, breaks at local scale as stretched exponential, fly retina log-normal distribution, respectively, which indicative underlying random multiplicative processes underpins nonlocality learning in critical state. for case H01 (1mm3) datasets, an exponentially truncated power law, may hint fact mechanism have manifested level too. Published by American Physical Society 2025

Язык: Английский

Процитировано

1

Network Statistics of the Whole-Brain Connectome ofDrosophila DOI Creative Commons
Albert Lin, Runzhe Yang, Sven Dorkenwald

и другие.

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2023, Номер unknown

Опубликована: Июль 29, 2023

Abstract Brains comprise complex networks of neurons and connections. Network analysis applied to the wiring diagrams brains can offer insights into how support computations regulate information flow. The completion first whole-brain connectome an adult Drosophila , largest date, containing 130,000 millions connections, offers unprecedented opportunity analyze its network properties topological features. To gain local connectivity, we computed prevalence two- three-node motifs, examined their strengths neurotransmitter compositions, compared these metrics with other animals. We discovered that fly brain displays rich club organization, a large population (30% percent connectome) highly connected neurons. identified subsets may serve as integrators or broadcasters signals. Finally, subnetworks based on 78 anatomically defined regions neuropils. These data products are shared within FlyWire Codex will foundation for models experiments exploring relationship between neural activity anatomical structure.

Язык: Английский

Процитировано

19

CAVE: Connectome Annotation Versioning Engine DOI Creative Commons
Sven Dorkenwald, Casey M Schneider-Mizell, Derrick Brittain

и другие.

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2023, Номер unknown

Опубликована: Июль 28, 2023

Abstract Advances in Electron Microscopy, image segmentation and computational infrastructure have given rise to large-scale richly annotated connectomic datasets which are increasingly shared across communities. To enable collaboration, users need be able concurrently create new annotations correct errors the automated by proofreading. In large datasets, every proofreading edit relabels cell identities of millions voxels thousands like synapses. For analysis, require immediate reproducible access this constantly changing expanding data landscape. Here, we present Connectome Annotation Versioning Engine (CAVE), a for connectome analysis up-to petascale (∼1mm 3 ) while annotating is ongoing. segmentation, CAVE provides distributed continuous versioning reconstructions. Annotations defined locations such that they can quickly assigned underlying segment enables fast queries CAVE’s arbitrary time points. supports schematized, extensible annotations, so researchers readily design novel annotation types. already used many connectomics including largest available date.

Язык: Английский

Процитировано

18