紧张型头痛波动振幅的频率特异性交替:机器学习研究。

IF 2.9 3区 医学 Q2 NEUROSCIENCES
Xize Jia, Mengting Li, Shuxian Zhang, Collins Opoku Antwi, Linlin Zhan, Mengqi Zhao, Jianjie Wen, Su Hu, Zeqi Hao, Jun Ren
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引用次数: 0

摘要

不同频段的大脑神经信号与不同的功能有关。然而,紧张型头痛(TTH)--最常见的原发性头痛--的大脑自发活动的频率特异性在很大程度上仍然未知。我们采用低频波动分数振幅(fALFF)、振幅波动百分比(PerAF)和小波-ALFF分析方法,研究了33名TTH患者和31名健康对照组(HCs)在常规频段和两个亚频段(慢-4和慢-5频段)的局部神经活动。以年龄为协变量,我们采用双样本 t 检验来比较各频段各项指标的组间差异。支持向量机(SVM)根据自发脑活动的改变对TTH患者和HC进行分类。TTH患者左侧小脑小叶X、左侧海马旁回和右侧辅助运动区在慢-5频段的fALFF值较低。在三个波段中,TTH 患者左侧纺锤形区和小脑区的 PerAF 值较低。检测到右侧丘脑、左侧顶叶前回、顶叶上回、额叶中部和顶叶区域在三个频段的 Wavelet-ALFF 值发生了改变。根据 fALFF、PerAF 和小波 ALFF 值,SVM 分类器的总体准确率分别为 77.38%、82.38% 和 95%。TTH 患者在不同脑区表现出异常的神经活动。异常脑活动是区分 TTH 患者的有力特征。这一初步探索为了解 TTH 的内在机制提供了新的视角。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Frequency-Specific Alternations in the Amplitude of Fluctuations in Tension-Type Headache: A Machine Learning Study

Frequency-Specific Alternations in the Amplitude of Fluctuations in Tension-Type Headache: A Machine Learning Study

Brain neural signal at different frequency bands relates to different functions. However, the frequency-specific properties of spontaneous brain activity in tension-type headache (TTH)—the most rampant primary headache—remain largely unknown. We investigated the local neural activity of 33 TTH patients and 31 healthy controls (HCs) in the conventional frequency band and two sub-frequency bands (slow-4 and slow-5 frequency band), employing fractional amplitude of low-frequency fluctuations (fALFF), percent amplitude fluctuations (PerAF) and Wavelet-ALFF analytic methods. Using age as covariate, we performed two sample t-test to compare the between-group differences of each metrics in each frequency band. Support vector machine (SVM) was conducted to classify TTH patients and HCs on the basis of altered spontaneous brain activities. TTH patients showed lower fALFF values in the left cerebellar lobule X, left parahippocampal gyrus, and right supplementary motor area in slow-5 band. TTH patients showed lower PerAF in the left fusiform and cerebellar regions in three bands. Altered Wavelet-ALFF values in the right thalamus, left anterior cingulum gyrus, superior parietal gyrus and middle and parietal frontal regions in three frequency bands were detected. And the SVM classifier obtained an overall accuracy of 77.38%, 82.38%, and 95% based on fALFF, PerAF, and Wavelet ALFF values, respectively. TTH patients exhibited abnormal neural activity in various brain regions. The abnormal brain activities serve as powerful features for distinguishing TTH patients. This preliminary exploration provides a novel insight into the underlying mechanism of TTH.

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来源期刊
Journal of Neuroscience Research
Journal of Neuroscience Research 医学-神经科学
CiteScore
9.50
自引率
2.40%
发文量
145
审稿时长
1 months
期刊介绍: The Journal of Neuroscience Research (JNR) publishes novel research results that will advance our understanding of the development, function and pathophysiology of the nervous system, using molecular, cellular, systems, and translational approaches. JNR covers both basic research and clinical aspects of neurology, neuropathology, psychiatry or psychology. The journal focuses on uncovering the intricacies of brain structure and function. Research published in JNR covers all species from invertebrates to humans, and the reports inform the readers about the function and organization of the nervous system, with emphasis on how disease modifies the function and organization.
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