Unified theory of alpha, mu, and tau rhythms via eigenmodes of brain activity

IF 2.1 4区 医学 Q2 MATHEMATICAL & COMPUTATIONAL BIOLOGY
Rawan El-Zghir, Natasha Gabay, Peter Robinson
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Abstract

A compact description of the frequency structure and topography of human alpha-band rhythms is obtained by use of the first four brain activity eigenmodes previously derived from corticothalamic neural field theory. Just two eigenmodes that overlap in frequency are found to reproduce the observed topography of the classical alpha rhythm for subjects with a single, occipitally concentrated alpha peak in their electroencephalograms. Alpha frequency splitting and relative amplitudes of double alpha peaks are explored analytically and numerically within this four-mode framework using eigenfunction expansion and perturbation methods. These effects are found to result primarily from the different eigenvalues and corticothalamic gains corresponding to the eigenmodes. Three modes with two non-overlapping frequencies suffice to reproduce the observed topography for subjects with a double alpha peak, where the appearance of a distinct second alpha peak requires an increase of the corticothalamic gain of higher eigenmodes relative to the first. Conversely, alpha blocking is inferred to be linked to a relatively small attention-dependent reduction of the gain of the relevant eigenmodes, whose effect is enhanced by the near-critical state of the brain and whose sign is consistent with inferences from neural field theory. The topographies and blocking of the mu and tau rhythms within the alpha-band are explained analogously via eigenmodes. Moreover, the observation of three rhythms in the alpha band is due to there being exactly three members of the first family of spatially nonuniform modes. These results thus provide a simple, unified description of alpha band rhythms and enable experimental observations of spectral structure and topography to be linked directly to theory and underlying physiology.
通过大脑活动的特征模式统一阿尔法、缪和陶氏节律理论
通过使用以前从皮质-丘脑神经场理论推导出的前四种大脑活动特征模式,对人类阿尔法波段节律的频率结构和拓扑结构进行了简洁的描述。研究发现,对于脑电图中只有一个枕部集中α峰的受试者来说,仅有两个频率重叠的特征模态就能再现所观察到的经典α节律拓扑结构。在此四模式框架内,使用特征函数展开和扰动方法对阿尔法频率分裂和双阿尔法峰的相对振幅进行了分析和数值探索。研究发现,这些效应主要源于与特征模式相对应的不同特征值和皮质-丘脑增益。具有两个非重叠频率的三个模式足以再现观察到的具有双阿尔法峰的受试者的地形图,其中第二个阿尔法峰的出现需要较高特征模式的皮质-丘脑增益相对于第一个特征模式有所增加。相反,α阻滞则被推断为与相关特征模态增益相对较小的注意力依赖性降低有关,其效果因大脑接近临界状态而增强,其符号与神经场理论的推断一致。α波段内的μ和tau节律的地形和阻滞也可以通过特征模式得到类似的解释。此外,在阿尔法波段观察到的三种节律是由于空间非均匀模式第一族恰好有三个成员。因此,这些结果为阿尔法波段节律提供了一个简单、统一的描述,并使光谱结构和地形的实验观察结果与理论和基本生理学直接联系起来。
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来源期刊
Frontiers in Computational Neuroscience
Frontiers in Computational Neuroscience MATHEMATICAL & COMPUTATIONAL BIOLOGY-NEUROSCIENCES
CiteScore
5.30
自引率
3.10%
发文量
166
审稿时长
6-12 weeks
期刊介绍: Frontiers in Computational Neuroscience is a first-tier electronic journal devoted to promoting theoretical modeling of brain function and fostering interdisciplinary interactions between theoretical and experimental neuroscience. Progress in understanding the amazing capabilities of the brain is still limited, and we believe that it will only come with deep theoretical thinking and mutually stimulating cooperation between different disciplines and approaches. We therefore invite original contributions on a wide range of topics that present the fruits of such cooperation, or provide stimuli for future alliances. We aim to provide an interactive forum for cutting-edge theoretical studies of the nervous system, and for promulgating the best theoretical research to the broader neuroscience community. Models of all styles and at all levels are welcome, from biophysically motivated realistic simulations of neurons and synapses to high-level abstract models of inference and decision making. While the journal is primarily focused on theoretically based and driven research, we welcome experimental studies that validate and test theoretical conclusions. Also: comp neuro
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