El Zghir Rawan Khalil, Gabay Natasha C, Robinson P A
School of Physics, University of Sydney, Sydney, NSW, Australia.
Center for Integrative Brain Function, University of Sydney, Sydney, NSW, Australia.
Front Comput Neurosci. 2024 Aug 26;18:1335130. doi: 10.3389/fncom.2024.1335130. eCollection 2024.
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.
利用先前从皮质丘脑神经场理论推导出来的前四个脑电活动本征模式,获得了对人类α波段节律的频率结构和地形的简洁描述。对于脑电图中具有单个枕叶集中α峰的受试者,发现仅两个频率重叠的本征模式就能再现经典α节律的观察到的地形。在这个四模式框架内,使用本征函数展开和微扰方法,对α频率分裂和双α峰的相对幅度进行了分析和数值研究。发现这些效应主要源于与本征模式相对应的不同特征值和皮质丘脑增益。对于具有双α峰的受试者,三个具有两个不重叠频率的模式足以再现观察到的地形,其中明显的第二个α峰的出现需要相对于第一个更高本征模式的皮质丘脑增益增加。相反,α阻断被推断与相关本征模式增益的相对较小的注意力依赖性降低有关,其效应因大脑的近临界状态而增强,其符号与神经场理论的推断一致。α波段内的μ和τ节律的地形和阻断也通过本征模式类似地进行了解释。此外,在α波段观察到三种节律是由于空间不均匀模式的第一族恰好有三个成员。因此,这些结果提供了对α波段节律的简单、统一描述,并使光谱结构和地形的实验观察能够直接与理论和潜在生理学联系起来。