Spectral and non-linear analysis of thalamocortical neural mass model oscillatory dynamics

Basabdatta Sen-Bhattacharya*, Neslihan Serap-Sengor, Yuksel Cakir, Liam Maguire, Damien Coyle

*Bu çalışma için yazışmadan sorumlu yazar

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4 Atıf (Scopus)

Özet

The chapter is organised in two parts: In the first part, the focus is on a combined power spectral and non-linear behavioural analysis of a neural mass model of the thalamocortical circuitry. The objective is to study the effectiveness of such multi-modal analytical techniques in model-based studies investigating the neural correlates of abnormal brain oscillations in Alzheimer's disease (AD). The power spectral analysis presented here is a study of the slowing (decreasing dominant frequency of oscillation) within the alpha frequency band (8-13 Hz), a hallmark of electroencephalogram (EEG) dynamics in AD. Analysis of the non-linear dynamical behaviour focuses on the bifurcating property of the model. The results show that the alpha rhythmic content is maximal at close proximity to the bifurcation point-an observation made possible by the multi-modal approach adopted herein. Furthermore, a slowing in alpha rhythm is observed for increasing inhibitory connectivity-a consistent feature of our research into neuropathological oscillations associated with AD. In the second part, we have presented power spectral analysis on a model that implements multiple feed-forward and feed-back connectivities in the thalamo-cortico-thalamic circuitry, and is thus more advanced in terms of biological plausibility. This study looks at the effects of synaptic connectivity variation on the power spectra within the delta (1-3 Hz), theta (4-7 Hz), alpha (8-13 Hz) and beta (14-30 Hz) bands. An overall slowing of EEG with decreasing synaptic connectivity is observed, indicated by a decrease of power within alpha and beta bands and increase in power within the theta and delta bands. Thus, the model behaviour conforms to longitudinal studies in AD indicating an overall slowing of EEG.

Orijinal dilİngilizce
Ana bilgisayar yayını başlığıAdvanced Computational Approaches to Biomedical Engineering
YayınlayanSpringer-Verlag Berlin Heidelberg
Sayfalar87-112
Sayfa sayısı26
Hacim9783642415395
ISBN (Elektronik)9783642415395
ISBN (Basılı)3642415385, 9783642415388
DOI'lar
Yayın durumuYayınlandı - 1 Oca 2014

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Publisher Copyright:
© 2014 Springer-Verlag Berlin Heidelberg. All rights are reserved.

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