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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Morphological Homogeneity of Neurons: Searching for Outlier Neuronal Cells

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Author(s):
Zawadzki, Krissia [1] ; Feenders, Christoph [2, 3] ; Viana, Matheus P. [1] ; Kaiser, Marcus [2, 4, 5] ; Costa, Luciano da F. [1]
Total Authors: 5
Affiliation:
[1] Univ Sao Paulo, Inst Phys Sao Carlos, BR-13560970 Sao Carlos, SP - Brazil
[2] Newcastle Univ, Sch Comp Sci, Newcastle Upon Tyne NE1 7RU, Tyne & Wear - England
[3] Carl von Ossietzky Univ Oldenburg, Inst Chem & Biol Marine Environm, Oldenburg - Germany
[4] Newcastle Univ, Inst Neurosci, Newcastle Upon Tyne NE2 4HH, Tyne & Wear - England
[5] Seoul Natl Univ, Dept Brain & Cognit Sci, Seoul - South Korea
Total Affiliations: 5
Document type: Journal article
Source: NEUROINFORMATICS; v. 10, n. 4, p. 379-389, OCT 2012.
Web of Science Citations: 7
Abstract

We report a morphology-based approach for the automatic identification of outlier neurons, as well as its application to the NeuroMorpho.org database, with more than 5,000 neurons. Each neuron in a given analysis is represented by a feature vector composed of 20 measurements, which are then projected into a two-dimensional space by applying principal component analysis. Bivariate kernel density estimation is then used to obtain the probability distribution for the group of cells, so that the cells with highest probabilities are understood as archetypes while those with the smallest probabilities are classified as outliers. The potential of the methodology is illustrated in several cases involving uniform cell types as well as cell types for specific animal species. The results provide insights regarding the distribution of cells, yielding single and multi-variate clusters, and they suggest that outlier cells tend to be more planar and tortuous. The proposed methodology can be used in several situations involving one or more categories of cells, as well as for detection of new categories and possible artifacts. (AU)

FAPESP's process: 05/00587-5 - Mesh (graph) modeling and techniques of pattern recognition: structure, dynamics and applications
Grantee:Roberto Marcondes Cesar Junior
Support type: Research Projects - Thematic Grants
FAPESP's process: 10/01994-1 - A systematic investigation of neuronal morphology through the NeuroMorpho public database
Grantee:Krissia de Zawadzki
Support type: Scholarships in Brazil - Scientific Initiation