Back to Search Start Over

Multivariate temporal pattern analysis applied to the study of rat behavior in the elevated plus maze: Methodological and conceptual highlights.

Authors :
Casarrubea, M.
Magnusson, M. S.
Roy, V.
Arabo, A.
Sorbera, F.
Santangelo, A.
Faulisi, F.
Crescimanno, G.
Source :
Journal of Neuroscience Methods. Aug2014, Vol. 234, p116-126. 11p.
Publication Year :
2014

Abstract

Aim of this article is to illustrate the application of a multivariate approach known as t-pattern analysis in the study of rat behavior in elevated plus maze. By means of this multivariate approach, significant relationships among behavioral events in the course of time can be described. Both quantitative and t-pattern analyses were utilized to analyze data obtained from fifteen male Wistar rats following a trial 1--trial 2 protocol. In trial 2, in comparison with the initial exposure, mean occurrences of behavioral elements performed in protected zones of the maze showed a significant increase counterbalanced by a significant decrease of mean occurrences of behavioral elements in unprotected zones. Multivariate t-pattern analysis, in trial 1, revealed the presence of 134 t-patterns of different composition. In trial 2, the temporal structure of behavior become more simple, being present only 32 different t-patterns. Behavioral strings and stripes (i.e. graphical representation of each t-pattern onset) of all t-patterns were presented both for trial 1 and trial 2 as well. Finally, percent distributions in the three zones of the maze show a clear-cut increase of t-patterns in closed arm and a significant reduction in the remaining zones. Results show that previous experience deeply modifies the temporal structure of rat behavior in the elevated plus maze. In addition, this article, by highlighting several conceptual, methodological and illustrative aspects on the utilization of t-pattern analysis, could represent a useful background to employ such a refined approach in the study of rat behavior in elevated plus maze. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
01650270
Volume :
234
Database :
Academic Search Index
Journal :
Journal of Neuroscience Methods
Publication Type :
Academic Journal
Accession number :
97355160
Full Text :
https://doi.org/10.1016/j.jneumeth.2014.06.009