Literature DB >> 8376627

Anatomy of the mushroom bodies in the honey bee brain: the neuronal connections of the alpha-lobe.

J Rybak1, R Menzel.   

Abstract

Neural connections between the mushroom body (MB) and other protocerebral areas of the honeybee's brain were studied with the help of cobalt chloride and Golgi staining methods. Focal injections of cobalt ions into the alpha-lobe neuropil of the MB reveal seven clusters of somata located in the protocerebrum and deutocerebrum of each brain hemisphere. These neurons connect the mushroom body neuropil with protocerebral areas and number approximately 400. They contact the layered organization of the alpha-lobe at different locations. Some project not only into the alpha-lobe, but also into the beta-lobe and pedunculus neuropils. Fifteen cell types which form intraprotocerebral circuits are morphologically described. They can be divided into three categories: 1) unilateral neurons, with projection fields restricted to the ipsilateral protocerebrum; these neurons connect the alpha-lobe with areas in the protocerebral lobe and ramify with densely layered arborisations arranged perpendicularly to the longitudinal axis of the alpha-lobe; 2) recurrent neurons, which interconnect subcompartments of the MB, forming loops at different levels of the neuropil; their arborisations are mainly restricted to the alpha-lobe, beta-lobe, pedunculus, and calyces of the ipsilateral MB; they also ramify sparsely around the neuropil of the alpha-lobe; and 3) bilateral neurons, which either interconnect both alpha-lobes or connect the ipsilateral alpha-lobe and protocerebral lobe with the dorsolateral protocerebral lobe of the contralateral hemisphere. The connections of different compartments of the MB with other parts of the protocerebrum as revealed in this study are discussed in the context of hypotheses about the functional role of MBs in the honeybee brain.

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Year:  1993        PMID: 8376627     DOI: 10.1002/cne.903340309

Source DB:  PubMed          Journal:  J Comp Neurol        ISSN: 0021-9967            Impact factor:   3.215


  67 in total

Review 1.  What do the mushroom bodies do for the insect brain? an introduction.

Authors:  M Heisenberg
Journal:  Learn Mem       Date:  1998 May-Jun       Impact factor: 2.460

2.  The organization of extrinsic neurons and their implications in the functional roles of the mushroom bodies in Drosophila melanogaster Meigen.

Authors:  K Ito; K Suzuki; P Estes; M Ramaswami; D Yamamoto; N J Strausfeld
Journal:  Learn Mem       Date:  1998 May-Jun       Impact factor: 2.460

3.  Integrative properties of the Pe1 neuron, a unique mushroom body output neuron.

Authors:  J Rybak; R Menzel
Journal:  Learn Mem       Date:  1998 May-Jun       Impact factor: 2.460

4.  Identification and punctate nuclear localization of a novel noncoding RNA, Ks-1, from the honeybee brain.

Authors:  Miyuki Sawata; Daisuke Yoshino; Hideaki Takeuchi; Azusa Kamikouchi; Kazuaki Ohashi; Takeo Kubo
Journal:  RNA       Date:  2002-06       Impact factor: 4.942

5.  Experience-dependent tuning of early olfactory processing in the adult honey bee, Apis mellifera.

Authors:  Christopher M Jernigan; Rachael Halby; Richard C Gerkin; Irina Sinakevitch; Fernando Locatelli; Brian H Smith
Journal:  J Exp Biol       Date:  2020-01-06       Impact factor: 3.312

6.  Functional feedback from mushroom bodies to antennal lobes in the Drosophila olfactory pathway.

Authors:  Aiqun Hu; Wei Zhang; Zuoren Wang
Journal:  Proc Natl Acad Sci U S A       Date:  2010-05-17       Impact factor: 11.205

Review 7.  Evolution, discovery, and interpretations of arthropod mushroom bodies.

Authors:  N J Strausfeld; L Hansen; Y Li; R S Gomez; K Ito
Journal:  Learn Mem       Date:  1998 May-Jun       Impact factor: 2.460

8.  Early development of mushroom bodies in the brain of the honeybee Apis mellifera as revealed by BrdU incorporation and ablation experiments.

Authors:  D Malun
Journal:  Learn Mem       Date:  1998 May-Jun       Impact factor: 2.460

9.  Tripartite mushroom body architecture revealed by antigenic markers.

Authors:  J R Crittenden; E M Skoulakis; K A Han; D Kalderon; R L Davis
Journal:  Learn Mem       Date:  1998 May-Jun       Impact factor: 2.460

10.  A computational framework for understanding decision making through integration of basic learning rules.

Authors:  Maxim Bazhenov; Ramon Huerta; Brian H Smith
Journal:  J Neurosci       Date:  2013-03-27       Impact factor: 6.167

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