fly_hemibrain — Fly hemibrain (2020)
- Description
The connectome of a large part of the central brain (the "hemibrain") of an adult female fruit fly Drosophila melanogaster, reconstructed by the FlyEM project at the Janelia Research Campus from focused ion beam scanning electron microscopy (FIB-SEM) images, with automated segmentation followed by extensive manual proofreading. Nodes are neurons, and a directed edge $(i, j)$ indicates chemical synapses from neuron $i$ (presynaptic) to neuron $j$ (postsynaptic) within a given brain region. This is version v1.2 of the data set, as exported from neuPrint, and includes only the "traced" neurons that are not cropped by the boundaries of the imaged volume.
Connections between a pair of neurons are split according to the primary region of interest (ROI, i.e. brain region) where the synapses reside, so that the same pair of neurons may be connected by several parallel edges, one per ROI. Synapses that lie outside any primary ROI are not included.
The network has the following properties:
- (Node)
bodyId: the neuron's identifier in the hemibrain data set (neuPrint body ID). - (Node)
type: the cell type of the neuron (e.g.CL141,FS4C); empty if not assigned. - (Node)
instance: the neuron's instance name, typically the cell type followed by additional qualifiers and the brain side (e.g.FS4C(FQ12)_C4_R). - (Edge)
roi(edges): the primary brain region in which the synapses of the connection are located (e.g.SLP(R)). - (Edge)
weight(edges): the number of synapses from $i$ to $j$ in that region.
- (Node)
- Tags
- Biological Connectome Weighted Metadata
- Added
- 2022-11-17
- Citation
-
- L. K. Scheffer et al., "A connectome and analysis of the adult Drosophila central brain." eLife 9, e57443 (2020) 10.7554/eLife.57443 Sci-Hub
- Upstream URL OK
- https://www.janelia.org/project-team/flyem/hemibrain
- Networks
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Tip: hover over a column header for a description.
Column legend
- $\left<k\right>$
- Mean degree
- $\sigma_k$
- Standard deviation of the degrees
- $\lambda_h$
- Largest eigenvalue of the Hashimoto (non-backtracking) matrix
- $\tau$
- Random walk mixing time
- $r$
- Degree assortativity
- $c$
- Global clustering coefficient
- $\oslash$
- (Pseudo-) diameter
- $S$
- Relative size of the largest component
- NPs
- Node properties
- EPs
- Edge properties
- Ridiculograms*
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