Lack of Sex Differences in Psychostimulant-Induced Locomotor Activity When Comparing Rats From the Same Behavioral Groups

IF 4 Q2 NEUROSCIENCES
Anthony M. Tigano, Martin O. Job
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Abstract

Background

We hypothesized that sex differences in baseline-, saline-, and psychostimulant-induced locomotor activity (LMA) would not be observed when we compared males and females that belonged to the same behavioral group(s). Our aim was to determine whether we could detect differences between males and females within a truly distinct behavioral group. To identify behavioral groups, current models use median-split analysis typically of one variable, but this procedure may not be effective. With the rationale that clustering analysis of several variables is a more robust grouping strategy, we developed a new model termed the MISSING (Mapping Intrinsic Sex Similarities as an Integral quality of Normalized Groups) model to test our hypothesis.

Methods

We obtained baseline LMA, drug-induced LMA, and a new variable that integrates both baseline and drug-induced LMA (drug-induced LMA normalized-to-baseline activity-time) from LMA assessments following saline (males n = 12, females n = 11) and cocaine 10 mg/kg (male n = 22, female n = 23) intraperitoneal injections, and intra–nucleus accumbens dopamine 15 μg/side (male n = 20, female n = 17). Using regression analysis and analysis of variance, we compared the MISSING model with the current model for effectiveness in identifying distinct groups.

Results

The MISSING model was superior to the median split in distinct behavioral group identification. For both models, we confirmed that there were no differences in psychostimulant-induced LMA when we compared males and females within the same group/cluster.

Conclusions

There were no sex differences in psychostimulant-induced LMA when we compared rats from the same behavioral group(s).
当比较来自相同行为组的大鼠时,精神兴奋剂诱导的运动活动缺乏性别差异
我们假设,当我们比较属于同一行为组的男性和女性时,基线、生理盐水和精神兴奋剂诱导的运动活动(LMA)的性别差异不会被观察到。我们的目的是确定我们是否可以在一个真正不同的行为群体中发现男性和女性之间的差异。为了识别行为群体,目前的模型通常使用一个变量的中位数分割分析,但这种方法可能并不有效。基于对多个变量进行聚类分析是一种更稳健的分组策略的基本原理,我们开发了一个名为MISSING(将内在性别相似性映射为归一化组的整体质量)的新模型来验证我们的假设。方法通过生理盐水(男性n = 12,女性n = 11)和可卡因10 mg/kg(男性n = 22,女性n = 23)腹腔注射和伏隔核内多巴胺15 μg/侧(男性n = 20,女性n = 17)的LMA评估,获得基线LMA、药物诱导LMA以及一个综合基线和药物诱导LMA(药物诱导LMA归一化至基线活动时间)的新变量。利用回归分析和方差分析,我们比较了MISSING模型与当前模型在识别不同群体方面的有效性。结果MISSING模型在不同行为群体识别上优于中位数分割模型。对于这两个模型,我们证实,当我们比较同一组/集群内的男性和女性时,精神兴奋剂诱导的LMA没有差异。结论在同一行为组中,精神兴奋剂诱导的LMA无性别差异。
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来源期刊
Biological psychiatry global open science
Biological psychiatry global open science Psychiatry and Mental Health
CiteScore
4.00
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审稿时长
91 days
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