Brazdzionis James, Wiginton James, Patchana Tye, Savla Paras, Hung James, Zhang Yongming, Miulli Dan E
Neurosurgery, Riverside University Health System Medical Center, Moreno Valley, USA.
Electrical Engineering, Quasar Federal Systems, San Diego, USA.
Cureus. 2022 Mar 9;14(3):e23006. doi: 10.7759/cureus.23006. eCollection 2022 Mar.
Introduction The actions of neurons are dependent on electrochemical signal pathways mediated by neurotransmitters and create measurable electrical charges. These charges have been found to be measurable through neuroimaging technologies and now through a novel non-contact non-invasive sensor without supercooling. Identifying whether this technology can be appropriately interpreted with synchronized motor well-defined activities in vivo may allow for further clinical applications. Methods A non-contact, non-invasive helmet constructed and modified using shielding technology with proprietary magnetic field sensors was utilized to measure the brain's electromagnetic field (EMF). Human volunteers donned helmets and were asked to perform repetitive tapping exercises in order to identify waves consistent with tapping from the left and right hemispheres. A gyroscope was utilized to ensure that measured waves were not from micro-movement but were from neuronal firing. Multiple individuals were tested to evaluate the reproducibility of tapping and commonalities between individuals Results Right and left-sided tapping generated discernible wave changes from baseline measurements obtained by the helmet without a subject as well as differed from when the subject was at rest. Wave patterns varied from person to person but were overall similar in each subject individually. Shielding was necessary to identify signals but EMF was identified when shielding was transitioned from around the helmet to within the helmet design. Conclusion It is possible to measure in-vivo electromagnetic fields generated by the human brain generated by stereotyped tasks in a non-contact non-invasive manner. These waves were reliably obtained within each individual with some variability in morphology from subject to subject however were similar in each subject. Signals varied based on activity and stereotyped motor activities were identified. A helmet using shielding technology within the helmet itself was able to effectively identify EMF signals. Future analysis may focus on translating these waves into functional mapping for clinical applications.
引言 神经元的活动依赖于由神经递质介导的电化学信号通路,并产生可测量的电荷。现已发现,这些电荷可通过神经成像技术进行测量,如今还可通过一种无需超低温的新型非接触式无创传感器进行测量。确定这项技术是否能够在体内与明确的同步运动活动进行恰当解读,可能会推动进一步的临床应用。方法 使用带有专利磁场传感器的屏蔽技术构建并改装了一个非接触式无创头盔,用于测量大脑的电磁场(EMF)。人类志愿者戴上头盔,并被要求进行重复性敲击练习,以识别与左右半球敲击相一致的脑电波。使用陀螺仪确保所测量的脑电波并非来自微运动,而是来自神经元放电。对多名个体进行测试,以评估敲击的可重复性以及个体之间的共性。结果 左右侧敲击产生了与无受试者时头盔获得的基线测量值明显不同的波形变化,也与受试者休息时的波形不同。波形模式因人而异,但每个受试者个体的波形总体相似。屏蔽对于识别信号是必要的,但当屏蔽从头盔周围转移到头盔设计内部时,能够识别出电磁场。结论 有可能以非接触式无创方式测量人类大脑在定型任务中产生的体内电磁场。这些脑电波在每个个体中都能可靠地获得,尽管形态上存在一些个体差异,但每个受试者的脑电波相似。信号因活动而异,并且识别出了定型的运动活动。在头盔本身内部使用屏蔽技术的头盔能够有效识别电磁场信号。未来的分析可能集中于将这些脑电波转化为临床应用的功能图谱。
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