Evidence map›Paper›PMID 20827403›Full record

ArticleFrontiers in systems neuroscience2010

The Digital Bee Brain: Integrating and Managing Neurons in a Common 3D Reference System.

Jürgen Rybak, Anja Kuß, Hans Lamecker, Stefan Zachow, Hans-Christian Hege, Matthias Lienhard, Jochen Singer, Kerstin Neubert, Randolf Menzel

Open access · goldAbstract read
In one paragraph

Article in Frontiers in systems neuroscience, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
4.5field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

41 citing papers in PubMed, 93 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Illusional Perspective across Humans and Bees.Vision (Basel, Switzerland) · 2022
    Review
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Brain evolution in social insects: advocating for the comparative approach.Journal of comparative physiology. A, Neuroethology, sensory, neural, and behavioral physiology · 2019
    Review
  14. Planning of skull reconstruction based on a statistical shape model combined with geometric morphometrics.International journal of computer assisted radiology and surgery · 2018
    Article
  15. Article
  16. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 1 institution in 1 country.

Jürgen RybakInstitute for Biology - Neurobiology, Free University Berlin Berlin, Germany.
Anja Kuß
Hans Lamecker
Stefan Zachow
Hans-Christian Hege
Matthias Lienhard
Jochen Singer
Kerstin Neubert
Randolf Menzel
Freie Universität Berlin · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The honeybee standard brain (HSB) serves as an interactive tool for relating morphologies of bee brain neurons and provides a reference system for functional and bibliographical properties (http://www.neurobiologie.fu-berlin.de/beebrain/). The ultimate goal is to document not only the morphological network properties of neurons collected from separate brains, but also to establish a graphical user interface for a neuron-related data base. Here, we review the current methods and protocols used to incorporate neuronal reconstructions into the HSB. Our registration protocol consists of two separate steps applied to imaging data from two-channel confocal microscopy scans: (1) The reconstruction of the neuron, facilitated by an automatic extraction of the neuron's skeleton based on threshold segmentation, and (2) the semi-automatic 3D segmentation of the neuropils and their registration with the HSB. The integration of neurons in the HSB is performed by applying the transformation computed in step (2) to the reconstructed neurons of step (1). The most critical issue of this protocol in terms of user interaction time - the segmentation process - is drastically improved by the use of a model-based segmentation process. Furthermore, the underlying statistical shape models (SSM) allow the visualization and analysis of characteristic variations in large sets of bee brain data. The anatomy of neural networks composed of multiple neurons that are registered into the HSB are visualized by depicting the 3D reconstructions together with semantic information with the objective to integrate data from multiple sources (electrophysiology, imaging, immunocytochemistry, molecular biology). Ultimately, this will allow the user to specify cell types and retrieve their morphologies along with physiological characterizations.

Indexed as

Apis melliferabrain atlasconfocal microscopyimage registrationneural networksneuron reconstructionontologystatistical shape model

Identifiers

PMID20827403
PMCPMC2935790
OpenAlexW2107890024

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.