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DREAM:解码大脑系统节律的工具包。

DREAM : A Toolbox to Decode Rhythms of the Brain System.

机构信息

Key Laboratory of Behavioral Sciences, Institute of Psychology, Chinese Academy of Sciences, Beijing, China.

National Basic Public Science Data Center, Beijing, China.

出版信息

Neuroinformatics. 2021 Jul;19(3):529-545. doi: 10.1007/s12021-020-09500-9. Epub 2021 Jan 7.

Abstract

Rhythms of the brain are generated by neural oscillations across multiple frequencies. These oscillations can be decomposed into distinct frequency intervals associated with specific physiological processes. In practice, the number and ranges of decodable frequency intervals are determined by sampling parameters, often ignored by researchers. To improve the situation, we report on an open toolbox with a graphical user interface for decoding rhythms of the brain system (DREAM). We provide worked examples of DREAM to investigate frequency-specific performance of both neural (spontaneous brain activity) and neurobehavioral (in-scanner head motion) oscillations. DREAM decoded the head motion oscillations and uncovered that younger children moved their heads more than older children across all five frequency intervals whereas boys moved more than girls in the age of 7 to 9 years. It is interesting that the higher frequency bands contain more head movements, and showed stronger age-motion associations but weaker sex-motion interactions. Using data from the Human Connectome Project, DREAM mapped the amplitude of these neural oscillations into multiple frequency bands and evaluated their test-retest reliability. The resting-state brain ranks its spontaneous oscillation's amplitudes spatially from high in ventral-temporal areas to low in ventral-occipital areas when the frequency band increased from low to high, while those in part of parietal and ventral frontal regions are reversed. The higher frequency bands exhibited more reliable amplitude measurements, implying more inter-individual variability of the amplitudes for the higher frequency bands. In summary, DREAM adds a reliable and valid tool to mapping human brain function from a multiple-frequency window into brain waves.

摘要

大脑的节律是由多个频率的神经振荡产生的。这些振荡可以分解为与特定生理过程相关的不同频率间隔。在实践中,可解码的频率间隔的数量和范围取决于采样参数,而这些参数常常被研究人员忽略。为了改善这种情况,我们报告了一个具有图形用户界面的开放式工具包,用于解码大脑系统的节律(DREAM)。我们提供了 DREAM 的示例,以研究神经(自发脑活动)和神经行为(扫描内头部运动)振荡的频率特异性性能。DREAM 解码了头部运动振荡,并发现所有五个频率间隔中,年龄较小的儿童头部运动比年龄较大的儿童多,而 7 至 9 岁的男孩比女孩头部运动多。有趣的是,较高的频带包含更多的头部运动,并且显示出更强的年龄-运动关联,但较弱的性别-运动相互作用。使用人类连接组计划的数据,DREAM 将这些神经振荡的幅度映射到多个频带,并评估其测试-重测可靠性。当频率从低到高增加时,静息状态的大脑会从腹侧颞区的高到腹侧枕区的低对其自发振荡的幅度进行空间排列,而部分顶叶和腹侧额叶区域的则相反。较高的频带表现出更可靠的幅度测量,这意味着较高频带的幅度具有更多的个体间可变性。总之,DREAM 为从多频窗映射人类大脑功能到脑波增加了一个可靠且有效的工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7b38/8233299/1e2a0bf3c194/12021_2020_9500_Fig1_HTML.jpg

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