Literature DB >> 34322160

Analytically determining frequency and amplitude of spontaneous alpha oscillation in Jansen's neural mass model using the describing function method.

Yao Xu1,2, Chun-Hui Zhang1, Ernst Niebur3, Jun-Song Wang1.   

Abstract

Spontaneous alpha oscillations are a ubiquitous phenomenon in the brain and play a key role in neural information processing and various cognitive functions. Jansen's neural mass model (NMM) was initially proposed to study the origin of alpha oscillations. Most of previous studies of the spontaneous alpha oscillations in the NMM were conducted using numerical methods. In this study, we aim to propose an analytical approach using the describing function method to elucidate the spontaneous alpha oscillation mechanism in the NMM. First, the sigmoid nonlinear function in the NMM is approximated by its describing function, allowing us to reformulate the NMM and derive its standard form composed of one nonlinear part and one linear part. Second, by conducting a theoretical analysis, we can assess whether or not the spontaneous alpha oscillation would occur in the NMM and, furthermore, accurately determine its amplitude and frequency. The results reveal analytically that the interaction between linearity and nonlinearity of the NMM plays a key role in generating the spontaneous alpha oscillations. Furthermore, strong nonlinearity and large linear strength are required to generate the spontaneous alpha oscillations.

Keywords:  describing function; neural mass model; spontaneous alpha oscillation

Year:  2018        PMID: 34322160      PMCID: PMC8315699          DOI: 10.1088/1674-1056/27/4/048701

Source DB:  PubMed          Journal:  Chin Phys B        ISSN: 1674-1056            Impact factor:   1.494


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