National Center for Adaptive Neurotechnologies, Wadsworth Center, New York State Dept. of Health, Albany, NY, United States; Dept. of Neurology, Albany Medical College, Albany, NY, United States; Dept. of Biomedical Sciences, State University of New York, Albany, NY, United States.
National Center for Adaptive Neurotechnologies, Wadsworth Center, New York State Dept. of Health, Albany, NY, United States; Dept. of Computer Science, University of Kansas, Lawrence, KS, United States.
Neuroimage. 2017 Aug 15;157:545-554. doi: 10.1016/j.neuroimage.2017.06.014. Epub 2017 Jun 15.
For decades, oscillatory brain activity has been characterized primarily by measurements of power and phase. While many studies have linked those measurements to cortical excitability, their relationship to each other and to the physiological underpinnings of excitability is unclear. The recently proposed Function-through-Biased-Oscillations (FBO) hypothesis (Schalk, 2015) addressed these issues by suggesting that the voltage potential at the cortical surface directly reflects the excitability of cortical populations, that this voltage is rhythmically driven away from a low resting potential (associated with depolarized cortical populations) towards positivity (associated with hyperpolarized cortical populations). This view explains how oscillatory power and phase together influence the instantaneous voltage potential that directly regulates cortical excitability. This implies that the alternative measurement of instantaneous voltage of oscillatory activity should better predict cortical excitability compared to either of the more traditional measurements of power or phase. Using electrocorticographic (ECoG) data from 28 human subjects, the results of our study confirm this prediction: compared to oscillatory power and phase, the instantaneous voltage explained 20% and 31% more of the variance in broadband gamma, respectively, and power and phase together did not produce better predictions than the instantaneous voltage. These results synthesize the previously separate power- and phase-based interpretations and associate oscillatory activity directly with a physiological interpretation of cortical excitability. This alternative view has implications for the interpretation of studies of oscillatory activity and for current theories of cortical information transmission.
几十年来,脑震荡活动主要通过测量功率和相位来描述。虽然许多研究将这些测量结果与皮质兴奋性联系起来,但它们之间以及与兴奋性的生理基础之间的关系尚不清楚。最近提出的功能偏置振荡(FBO)假说(Schalk,2015)通过提出皮质表面的电压势直接反映皮质群体的兴奋性来解决这些问题,即这种电压势有节奏地从低静息电位(与去极化皮质群体相关)向正电位(与超极化皮质群体相关)驱动。这种观点解释了振荡功率和相位如何共同影响直接调节皮质兴奋性的瞬时电压势。这意味着,与更传统的功率或相位测量相比,振荡活动的瞬时电压的替代测量应该能够更好地预测皮质兴奋性。使用来自 28 名人类受试者的脑电图(ECoG)数据,我们的研究结果证实了这一预测:与振荡功率和相位相比,瞬时电压分别解释了宽带伽马的 20%和 31%的方差,而功率和相位一起并不能比瞬时电压产生更好的预测。这些结果综合了以前独立的功率和相位解释,并将振荡活动与皮质兴奋性的生理解释直接联系起来。这种替代观点对振荡活动研究的解释以及当前的皮质信息传输理论都具有重要意义。