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  3D reconstruction and standardization of the rat vibrissal cortex for precise registration of single neuron morphology

Egger, R., Narayanan, R. T., Helmstaedter, M., de Kock, C. P. J., & Oberlaender, M. (2012). 3D reconstruction and standardization of the rat vibrissal cortex for precise registration of single neuron morphology. PLoS Computational Biology, 8(12): e1002837. doi:10.1371/journal.pcbi.1002837.

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 Creators:
Egger, Robert, Author
Narayanan, Rajeevan T., Author
Helmstaedter, Moritz1, Author           
de Kock, Christiaan P. J., Author
Oberlaender, Marcel, Author           
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1Research Group: Structure of Neocortical Circuits / Helmstaedter, MPI of Neurobiology, Max Planck Society, ou_1128547              

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 Abstract: Author Summary
For studying the neural basis of perception and behavior,
it would be ideal to directly monitor sensory-evoked
excitation streams within neural circuits, at sub-cellular and
millisecond resolution. To do so, reverse engineering
approaches of reconstructing circuit anatomy and synaptic
wiring have been suggested. The resulting anatomically
realistic models may then allow for computer simulations
(in silico experiments) of circuit function. A natural starting
point for reconstructing neural circuits is a cortical column,
which is thought to be an elementary functional unit of
sensory cortices. In the vibrissal area of rodent somatosensory
cortex, a cytoarchitectonic equivalent, designated
as a ‘barrel column’, has been described. By reconstructing
the 3D geometry of almost 1,000 barrel columns, we show
that the somatotopic layout of the vibrissal cortex is highly
preserved across animals. This allows generating a standard
cortex and registering neuron morphologies, obtained
from different experiments, to their ‘true’ location.
Marking a crucial step towards reverse engineering of
cortical circuits, the present study will allow estimating
synaptic connectivity within an entire cortical area by
structural overlap of registered axons and dendrites.

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Language(s): eng - English
 Dates: 2012-12-20
 Publication Status: Issued
 Pages: 18
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1371/journal.pcbi.1002837
 Degree: -

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Title: PLoS Computational Biology
Source Genre: Journal
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Publ. Info: San Francisco, CA : Public Library of Science
Pages: - Volume / Issue: 8 (12) Sequence Number: e1002837 Start / End Page: - Identifier: ISSN: 1553-734X
CoNE: https://pure.mpg.de/cone/journals/resource/1000000000017180_1