Behavioral Sciences Research Center, Baqiyatallah University of Medical Sciences, Tehran, Iran.
Neurosci Lett. 2013 Feb 22;535:7-11. doi: 10.1016/j.neulet.2012.12.043. Epub 2013 Jan 8.
Investigating gender differences of the brain is of both scientific and clinical importance, as understanding such differences may be helpful for improving gender specific treatments of neuropsychiatric disorders. As brain is a highly complex system, it is crucial to investigate its activity in terms of nonlinear dynamics. However, there are few studies that investigated gender differences based on dynamical characteristics of the brain. Fractal dimension (FD) is a key characteristic of the brain dynamics which indicates the level of complexity on which the neuronal regions function or interact and quantifies the associated brain processes on a scale ranging from fully deterministic to fully random. This study investigates the gender differences of brain dynamics, comparing fractal dimension of scalp EEGs (in eyes-closed resting state) of 34 female and 34 male healthy adults. The results showed significantly greater FDs in females compared to males in all brain regions except in lateral and occipital lobes. This indicates a higher complexity of the brain dynamics in females relative to males. The high accuracies of 87.8% and 93.1% obtained by logistic regression and enhanced probabilistic neural network, respectively, in discriminating between the gender groups based on the FDs also confirmed the great gender differences of complexity of brain activities. The results showed that delta, alpha, and beta bands are the frequency bands that contribute most to the gender differences in brain complexity. Furthermore, the lateralization analysis showed the leftward lateralization of complexity in females is greater than in males.
研究大脑的性别差异具有重要的科学和临床意义,因为了解这些差异可能有助于改善针对神经精神障碍的性别特异性治疗。由于大脑是一个高度复杂的系统,因此从非线性动力学的角度研究其活动至关重要。然而,基于大脑动力学的性别差异进行研究的研究很少。分形维数(FD)是大脑动力学的关键特征,它表示神经元区域发挥或相互作用的复杂程度,并在从完全确定性到完全随机性的范围内量化相关的大脑过程。本研究比较了 34 名女性和 34 名健康男性在闭眼静息状态下头皮 EEG 的分形维数,以研究大脑动力学的性别差异。结果表明,除了外侧和枕叶之外,女性的所有大脑区域的 FD 均明显大于男性,这表明女性大脑动力学的复杂性高于男性。逻辑回归和增强概率神经网络分别获得了 87.8%和 93.1%的高精度,可根据 FD 区分性别组,这也证实了大脑活动复杂性的巨大性别差异。结果表明,delta、alpha 和 beta 频段是导致大脑复杂性性别差异的主要频段。此外,偏侧化分析表明,女性的复杂性左偏化程度大于男性。