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Higuchi fractal dimension: An efficient approach to detection of brain entrainment to theta binaural beats

机译:HIGUCHI分形维数:一种有效的方法,可以检测脑螺母到θ的双耳节拍

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摘要

Binaural beats (BBs) are two pure tones with a small frequency difference (i.e., beat) separately presented to each ear. They cause the beat perception in the brain. BBs are used in both clinical and basic science applications. Studies in BB literature have mainly focused on linear analysis of the brain signals. Even though these approaches have produced promising findings, there may still be some facets left to be considered, which cannot be studied by linear measures. BBs entrain the brain and generate synchronous responses. Previous studies have proved that increasing brain synchronicity reduced its complexity measured by fractal dimension (FD). In this study, Higuchi fractal dimension (HFD) was used to test whether: 1) BB stimulation decreases the electroencephalogram (EEG) complexity, and 2) HFD is a reliable alternative to its common linear counterpart (i.e., relative power of the band in which the beat frequency lies) in terms of the brain entrainment detection. Results revealed that 3-min BB stimulation significantly decreased the HFD in temporal and parietal lobes, which was about half the time required to probe any changes in EEG power. Moreover, there was significant negative correlation between the relative power and HFD in these regions. In comparison to the relative power, HFD produced mostly higher classification accuracies and areas under empirical receiver operating characteristic (ROC) curve in these lobes. Our findings suggest that HFD can be a reliable replacement for relative power in terms of entrainment detection and response classification.
机译:双耳节拍(BBS)是两种具有小频率差(即,击败)的纯音调,单独呈现给每只耳朵。它们导致大脑中的节拍感知。 BBS用于临床和基础科学应用。 BB文献中的研究主要集中在大脑信号的线性分析。尽管这些方法产生了有希望的发现,但仍然可能需要一些刻痕,这不能通过线性措施来研究。 BBS夹带大脑并生成同步响应。先前的研究证明,脑同步性增加通过分形维数(FD)测量其复杂性。在本研究中,使用HIGUCHI分形尺寸(HFD)来测试:1)BB刺激是否降低了脑电图(EEG)复杂性,并且2)HFD是其常见线性对应物的可靠替代物(即,带的相对电力在脑夹带检测方面,拍频呈现。结果表明,3分钟的BB刺激在颞叶中显着降低了HFD,这大约是探测EEG权力的任何变化所需的一半时间。此外,这些区域中的相对功率和HFD之间存在显着的负相关性。与相对功率相比,HFD在这些凸起中产生了大多数较高的分类精度和在经验接收器操作特征(ROC)曲线下的区域。我们的研究结果表明,在夹带检测和响应分类方面,HFD可以是相对功率的可靠替代品。

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