Complexity analysis of source activity underlying the neuromagnetic somatosensory steady-state response

NeuroImage
Vasily A VakorinAnthony R McIntosh

Abstract

Using the notion of complexity and synchrony, this study presents a data-driven pipeline of nonlinear analysis of neuromagnetic sources reconstructed from human magnetoencephalographic (MEG) data collected in reaction to vibrostimulation of the right index finger. The dynamics of MEG source activity was reconstructed with synthetic aperture magnetometry (SAM) beam-forming technique. Considering brain as a complex system, we applied complexity-based tools to identify brain areas with dynamic patterns that remain regular across repeated stimulus presentations, and to characterize their synchronized behavior. Volumetric maps of brain activation were calculated using sample entropy as a measure of signal complexity. The complexity analysis identified activity in the primary somatosensory (SI) area contralateral to stimuli and bilaterally in the posterior parietal cortex (PPC) as regions with decreased complexity, consistently expressed in a group of subjects. Seeding an activated source with low complexity in the SI area, cross-sample entropy was used to generate synchrony maps. Cross-sample entropy analysis confirmed the synchronized dynamics of neuromagnetic activity between areas SI and PPC, robustly expressed across subjects. O...Continue Reading

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Citations

Jan 23, 2013·Medical & Biological Engineering & Computing·Peng LiChangchun Liu
Jun 20, 2014·Brain Connectivity·Walter S PritchardSatoru Hayasaka
Jan 15, 2014·Journal of Clinical Monitoring and Computing·Yinghua WangXiaoli Li
Oct 14, 2011·Clinical Neurophysiology : Official Journal of the International Federation of Clinical Neurophysiology·Zhenhu LiangXiaoli Li
Dec 1, 2011·IEEE Transactions on Bio-medical Engineering·Younes ZeroualiJean-Marc Lina
Jul 7, 2014·Clinical Neurophysiology : Official Journal of the International Federation of Clinical Neurophysiology·Zhenhu LiangXiaoli Li
Jun 29, 2010·Journal of Neural Engineering·Duan LiJamie W Sleigh
Feb 2, 2013·Journal of Neural Engineering·Zhenhu LiangXiaoli Li
Jan 31, 2019·Frontiers in Neural Circuits·Vasily A VakorinAnthony R McIntosh
Apr 18, 2017·Journal of Neuroengineering and Rehabilitation·Martijn P VlaarUNKNOWN 4D-EEG consortium
Mar 7, 2020·Frontiers in Integrative Neuroscience·Arindam BhattacharjeeChristoph Braun

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