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Doctoral Thesis
DOI
10.11606/T.59.2016.tde-30112016-142327
Document
Author
Full name
Rafael Arantes
E-mail
Institute/School/College
Knowledge Area
Date of Defense
Published
Ribeirão Preto, 2016
Supervisor
Committee
Silva Filho, Antonio Carlos Roque da (President)
Bosco, Geraldine Góes
Herrera, Hector Julian Tejada
Salum, Cristiane Otero Reis
Tabach, Ricardo
Title in Portuguese
Modelagem estocástica do labirinto em cruz elevado
Keywords in Portuguese
Ansiedade
Cadeias de Markov
Comportamento
Labirinto em Cruz Elevado
Abstract in Portuguese
O labirinto em cruz elevado é muito usado em estudos relacionados à ansiedade em ratos. As medidas tradicionalmente usadas são o número de entradas e o tempo passado nos braços abertos. Trabalhos recentes analisam a movimentação no interior dos braços, mas não propõem um índice que resuma as análises feitas. Esta tese sintetiza as informações de um destes trabalhos em índices. Um dos índices propostos usa os tempos médios de primeira visita a cada posição do labirinto e o outro se baseia na distribuição estacionária de probabilidade, o primeiro é capaz de diferenciar grupos de ratos submetidos a diferentes drogas ansiolíticas. Além disso, a tese propõe um modelo de processo Markoviano que incorpora informações desconsideradas no modelo anterior. A comparação entre os modelos revelou valores super ou subestimados no primeiro. Por fim, esta tese propõe um modelo de cadeias de Markov considerando como estados o seguinte conjunto de comportamentos: "rearing", "stretching", "dipping", "freezing" e "grooming". Tal abordagem inédita, apesar de simplificar exageradamente o modelo, foi capaz de reproduzir várias características conhecidas da exploração.
Title in English
Elevated Plus Maze: a Stochastic Modeling
Keywords in English
Anxity
Behavior
Elevated Plus-Maze
Markov Chain
Abstract in English
The elevated plus maze is widely used in studies related to anxiety in rats. The most widely used measures are the amount of entries and time spent on open arms. Recent studies analyze the movement inside the arms, but do not propose an index that summarizes the analyzes. This thesis summarizes by indices the information in one of these studies. An index uses the first visit average time to each position of the maze and another is based on the stationary probability distribution, the first one are able to differentiate groups of rats submitted to different anxiolytic drugs. These thesis also proposes a Markov process model that incorporates more information than the other model. The comparison between the models showed over- or underestimated values in the first. Finally, this thesis proposes a Markov chains model considering the following behaviors as states: rearing, stretching, dipping, freezing and grooming. This new approach, though oversimplify the model was able to reproduce several known features of exploitation.
 
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tese.pdf (1.15 Mbytes)
Publishing Date
2016-12-08
 
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