RESUMO
In neuroscience research, longitudinal data are often analysed using analysis of variance (ANOVA) and multivariate analysis of variance (MANOVA) for repeated measures (rmANOVA/rmMANOVA). However, these analyses have special requirements: The variances of the differences between all possible pairs of within-subject conditions (i.e., levels of the independent variable) must be equal. They are also limited to fixed repeated time intervals and are sensitive to missing data. In contrast, other models, such as the generalized estimating equations (GEE) and the generalized linear mixed models (GLMM), suggest another way to think about the data and the studied phenomenon. Instead of forcing the data into the ANOVAs assumptions, it is possible to design a flexible/personalized model according to the nature of the dependent variable. We discuss some advantages of GEE and GLMM as alternatives to rmANOVA and rmMANOVA in neuroscience research, including the possibility of using different distributions for the parameters of the dependent variable, a better approach for different time length points, and better adjustment to missing data. We illustrate these advantages by showing a comparison between rmANOVA and GEE in a real example and providing the data and a tutorial code to reproduce these analyses in R. We conclude that GEE and GLMM may provide more reliable results when compared to rmANOVA and rmMANOVA in neuroscience research, especially in small sample sizes with unbalanced longitudinal designs with or without missing data.
Assuntos
Modelos Estatísticos , Neurociências , Análise de Variância , Projetos de Pesquisa , Modelos Lineares , Estudos LongitudinaisRESUMO
It has been demonstrated that MK-801 potentiates the effects of the non-selective muscarinic antagonist scopolamine on memory in rats. In this study, we investigated the role of the M1-muscarinic receptor in this interaction, by administering different doses of dicyclomine (DIC) and MK-801 in combination to male Wistar rats before training on the inhibitory avoidance task. MK-801 and DIC in sub-effective doses were administered in combination. It was observed that MK-801 at a dose of 0.1125 mg/kg with a sub-effective dose of 8 mg/kg of DIC significantly impaired the retention test when compared with saline-treated animals, i.e. MK-801 potentiated the effects of dicyclomine on memory impairment. Our results suggest an important role for the M1-muscarinic receptor in the synergistic interaction between cholinergic muscarinic and glutamatergic NMDA receptors, which is in line with the findings that the interactive modulation between these two neurotransmitters systems constitutes an important mechanism in cognitive functions.