Normalized Power Variance: A new Field Orthogonal to Power in EEG Analysis

Normalized Power Variance: A new Field Orthogonal to Power in EEG Analysis
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DOI:
10.1177/15500594221088736
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发表时间:
2021-07
影响因子:
2
通讯作者:
Y. Aoki;H. Kazui;R. Pascual-Marqui;R. Bruña;K. Yoshiyama;Tamiki Wada;Hideki Kanemoto;Yukiko Suzuki;Takashi Suehiro;Y. Satake;Maki Yamakawa;Masahiro Hata;L. Canuet;R. Ishii;M. Iwase;M. Ikeda
Y. Aoki;H. Kazui;R. Pascual-Marqui;R. Bruña;K. Yoshiyama;Tamiki Wada;Hideki Kanemoto;Yukiko Suzuki;Takashi Suehiro;Y. Satake;Maki Yamakawa;Masahiro Hata;L. Canuet;R. Ishii;M. Iwase;M. Ikeda
中科院分区:
医学4区
文献类型:
--
作者:
Y. Aoki;H. Kazui;R. Pascual-Marqui;R. Bruña;K. Yoshiyama;Tamiki Wada;Hideki Kanemoto;Yukiko Suzuki;Takashi Suehiro;Y. Satake;Maki Yamakawa;Masahiro Hata;L. Canuet;R. Ishii;M. Iwase;M. Ikeda

文献摘要

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迄今为止,脑电图(EEG)已通过检查脑电图波并识别异常放电和基波减慢来诊断癫痫、痴呆和意识障碍。此外,脑电图功率分析与精确低分辨率脑电磁断层扫描(eLORETA)等源估计方法相结合,根据脑电图数据计算皮层电活动的功率,已被广泛用于研究神经精神疾病中的皮层电活动。然而,最近发展起来的数学领域“信息几何”表明,脑电图还有另一个与功率维度正交的维度——归一化功率方差(NPV)。此外,通过引入信息几何的思想,获得了收敛速度明显更快的NPV估计器。迄今为止,对该 NPV 坐标的研究还很有限。在本研究中,我们将 eLORETA 的 NPV 分析应用于脑脊液 (CSF) 分流手术前的特发性正常压力脑积水 (iNPH) 患者,其中传统功效分析无法检测到与 CSF 分流手术结果相关的任何差异。我们对 eLORETA 的 NPV 分析发现,在 17 名分流反应者和 19 名无反应者之间,β 频段高凸度区域的 NPV 值明显更高。考虑到我们目前和过去关于 NPV 的研究结果,我们还讨论了 NPV 代表皮质损伤敏感早期预警信号的应用的优势。总的来说,我们的研究结果表明,脑电图还有另一个维度——NPV,它包含大量有关皮质电活动的信息,可在临床实践中发挥作用。
To date, electroencephalogram (EEG) has been used in the diagnosis of epilepsy, dementia, and disturbance of consciousness via the inspection of EEG waves and identification of abnormal electrical discharges and slowing of basic waves. In addition, EEG power analysis combined with a source estimation method like exact-low-resolution-brain-electromagnetic-tomography (eLORETA), which calculates the power of cortical electrical activity from EEG data, has been widely used to investigate cortical electrical activity in neuropsychiatric diseases. However, the recently developed field of mathematics “information geometry” indicates that EEG has another dimension orthogonal to power dimension — that of normalized power variance (NPV). In addition, by introducing the idea of information geometry, a significantly faster convergent estimator of NPV was obtained. Research into this NPV coordinate has been limited thus far. In this study, we applied this NPV analysis of eLORETA to idiopathic normal pressure hydrocephalus (iNPH) patients prior to a cerebrospinal fluid (CSF) shunt operation, where traditional power analysis could not detect any difference associated with CSF shunt operation outcome. Our NPV analysis of eLORETA detected significantly higher NPV values at the high convexity area in the beta frequency band between 17 shunt responders and 19 non-responders. Considering our present and past research findings about NPV, we also discuss the advantage of this application of NPV representing a sensitive early warning signal of cortical impairment. Overall, our findings demonstrated that EEG has another dimension — that of NPV, which contains a lot of information about cortical electrical activity that can be useful in clinical practice.