Regression and Simulation Models for Human and Baboon Brain Parameters

The variations in morphometric parameter of mammalian brains may be influenced by process of functional complexity, evolution and adaptation. Comparative analysis of linear measurements of cerebrum in the human and baboon has shown morphometric differences. In the present study linear measurements f...

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Autores principales:	Pokhariyal,Ganesh, Hassanali,Jameela
Lenguaje:	English
Publicado:	Sociedad Chilena de Anatomía 2011
Materias:	Morphometric parameters Human Baboon Brains Regression and simulation models
Acceso en línea:	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-95022011000300052
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spelling	oai:scielo:S0717-950220110003000522012-06-11Regression and Simulation Models for Human and Baboon Brain ParametersPokhariyal,GaneshHassanali,Jameela Morphometric parameters Human Baboon Brains Regression and simulation models The variations in morphometric parameter of mammalian brains may be influenced by process of functional complexity, evolution and adaptation. Comparative analysis of linear measurements of cerebrum in the human and baboon has shown morphometric differences. In the present study linear measurements from human and baboon cerebrum (n=10 each) were used to predict various values for human and baboon brain and body parameters through multiple regression models. The average brain weights were found to be 2.08% and 0.84% of the body weights for humans and baboons respectively. The elasticity of regression models revealed that unit percentage increase in Occipital-Frontal (OF) distance would increase the human brain weight by 66.19%, while the baboon brain weight would increase by 7.63%. The unit percentage increase in the Height of Temporal Lobe (HTL) would increase the human brain weight by 16.28%, while the baboon brain weight would increase by only 0.28%. Unit percentage increase in Frontal-Temporal (FT) distance would decrease the human and baboon brain weights by 14.04% and 0.46% respectively. Inter-species values were also predicted through simulation techniques by using the ratios of model parameters with application of programming language Python. The OF, FT and HTL values for human were found to be 2.01 times, 1.55 times and 1.91 times respectively to that of baboon.info:eu-repo/semantics/openAccessSociedad Chilena de AnatomíaInternational Journal of Morphology v.29 n.3 20112011-09-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-95022011000300052en10.4067/S0717-95022011000300052
institution	Scielo Chile
collection	Scielo Chile
language	English
topic	Morphometric parameters Human Baboon Brains Regression and simulation models
spellingShingle	Morphometric parameters Human Baboon Brains Regression and simulation models Pokhariyal,Ganesh Hassanali,Jameela Regression and Simulation Models for Human and Baboon Brain Parameters
description	The variations in morphometric parameter of mammalian brains may be influenced by process of functional complexity, evolution and adaptation. Comparative analysis of linear measurements of cerebrum in the human and baboon has shown morphometric differences. In the present study linear measurements from human and baboon cerebrum (n=10 each) were used to predict various values for human and baboon brain and body parameters through multiple regression models. The average brain weights were found to be 2.08% and 0.84% of the body weights for humans and baboons respectively. The elasticity of regression models revealed that unit percentage increase in Occipital-Frontal (OF) distance would increase the human brain weight by 66.19%, while the baboon brain weight would increase by 7.63%. The unit percentage increase in the Height of Temporal Lobe (HTL) would increase the human brain weight by 16.28%, while the baboon brain weight would increase by only 0.28%. Unit percentage increase in Frontal-Temporal (FT) distance would decrease the human and baboon brain weights by 14.04% and 0.46% respectively. Inter-species values were also predicted through simulation techniques by using the ratios of model parameters with application of programming language Python. The OF, FT and HTL values for human were found to be 2.01 times, 1.55 times and 1.91 times respectively to that of baboon.
author	Pokhariyal,Ganesh Hassanali,Jameela
author_facet	Pokhariyal,Ganesh Hassanali,Jameela
author_sort	Pokhariyal,Ganesh
title	Regression and Simulation Models for Human and Baboon Brain Parameters
title_short	Regression and Simulation Models for Human and Baboon Brain Parameters
title_full	Regression and Simulation Models for Human and Baboon Brain Parameters
title_fullStr	Regression and Simulation Models for Human and Baboon Brain Parameters
title_full_unstemmed	Regression and Simulation Models for Human and Baboon Brain Parameters
title_sort	regression and simulation models for human and baboon brain parameters
publisher	Sociedad Chilena de Anatomía
publishDate	2011
url	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-95022011000300052
work_keys_str_mv	AT pokhariyalganesh regressionandsimulationmodelsforhumanandbaboonbrainparameters AT hassanalijameela regressionandsimulationmodelsforhumanandbaboonbrainparameters
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Regression and Simulation Models for Human and Baboon Brain Parameters

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