Structural properties of brain functional network during Schulte table solving

In this paper, we analyze the inter-layer connectivity of multiplex functional network of the brain, where each layer represent the separate timescale. For this task we conduct the EEG experiments, which involve the solving of Schulte tables, the widespread psycological test. Using the wavelet bicoherence we reconstruct the functional network on various frequency bands of brain activity, that allows us to build multiplex functional network. Using the concept of betweenness centrality we analyze the inter-layer interaction in the brain functional network and reveal the regions, which demonstrate maximal inter-layer activity.

[1]  E. Curran,et al.  Learning to control brain activity: A review of the production and control of EEG components for driving brain–computer interface (BCI) systems , 2003, Brain and Cognition.

[2]  Alan Bernjak,et al.  Wavelet Phase Coherence Analysis: Application to Skin Temperature and Blood Flow , 2004 .

[3]  S. Boccaletti,et al.  Assortative mixing in spatially-extended networks , 2018, Scientific Reports.

[4]  Alexander E. Hramov,et al.  Time-frequency characteristics and dynamics of sleep spindles in WAG/Rij rats with absence epilepsy , 2014, Brain Research.

[5]  Daqing Li,et al.  From a single network to a network of networks , 2014 .

[6]  Duncan J. Watts,et al.  Collective dynamics of ‘small-world’ networks , 1998, Nature.

[7]  Albert,et al.  Emergence of scaling in random networks , 1999, Science.

[8]  Yamir Moreno,et al.  Synchronization of Kuramoto oscillators in scale-free networks , 2004 .

[9]  Paul J. Laurienti,et al.  The Ubiquity of Small-World Networks , 2011, Brain Connect..

[10]  R. Turner,et al.  Eigenvector Centrality Mapping for Analyzing Connectivity Patterns in fMRI Data of the Human Brain , 2010, PloS one.

[11]  A Stefanovska,et al.  Oscillatory dynamics of vasoconstriction and vasodilation identified by time-localized phase coherence , 2011, Physics in medicine and biology.

[12]  E. Bullmore,et al.  The hubs of the human connectome are generally implicated in the anatomy of brain disorders , 2014, Brain : a journal of neurology.

[13]  Vladimir A. Maksimenko,et al.  Betweenness centrality in multiplex brain network during mental task evaluation , 2018, Physical Review E.

[14]  V. Latora,et al.  Complex networks: Structure and dynamics , 2006 .

[15]  A. Barabasi,et al.  Network medicine : a network-based approach to human disease , 2010 .

[16]  O. Sporns,et al.  The economy of brain network organization , 2012, Nature Reviews Neuroscience.

[17]  E. Bullmore,et al.  The Convergence of Maturational Change and Structural Covariance in Human Cortical Networks , 2013, The Journal of Neuroscience.

[18]  A. Barrat,et al.  Dynamical and bursty interactions in social networks. , 2010, Physical review. E, Statistical, nonlinear, and soft matter physics.

[19]  Arjan Hillebrand,et al.  Disrupted brain network topology in Parkinson's disease: a longitudinal magnetoencephalography study. , 2014, Brain : a journal of neurology.

[20]  J. Martinerie,et al.  Comparison of Hilbert transform and wavelet methods for the analysis of neuronal synchrony , 2001, Journal of Neuroscience Methods.

[21]  Harry Eugene Stanley,et al.  Robustness of interdependent networks under targeted attack , 2010, Physical review. E, Statistical, nonlinear, and soft matter physics.

[22]  U. Brandes A faster algorithm for betweenness centrality , 2001 .

[23]  Vito Latora,et al.  Emergence of structural patterns out of synchronization in networks with competitive interactions , 2011, Scientific reports.

[24]  Vladimir A. Maksimenko,et al.  Nonlinear effect of biological feedback on brain attentional state , 2018, Nonlinear Dynamics.

[25]  Vangelis Sakkalis,et al.  Review of advanced techniques for the estimation of brain connectivity measured with EEG/MEG , 2011, Comput. Biol. Medicine.

[26]  Shan Yu,et al.  A Small World of Neuronal Synchrony , 2008, Cerebral cortex.

[27]  Alex Arenas,et al.  Evolution of microscopic and mesoscopic synchronized patterns in complex networks. , 2011, Chaos.

[28]  Matjaz Perc,et al.  Spreading of cooperative behaviour across interdependent groups , 2013, Scientific Reports.

[29]  Alexey N. Pavlov,et al.  Wavelet analysis in neurodynamics , 2012 .

[30]  Matthias Wacker,et al.  Matching Pursuit-Based Time-Variant Bispectral Analysis and its Application to Biomedical Signals , 2015, IEEE Transactions on Biomedical Engineering.

[31]  O. Sporns,et al.  Complex brain networks: graph theoretical analysis of structural and functional systems , 2009, Nature Reviews Neuroscience.

[32]  Vladimir V. Makarov,et al.  Multiplex networks of musical artists: The effect of heterogeneous inter-layer links , 2018, Physica A: Statistical Mechanics and its Applications.

[33]  Jürgen Kurths,et al.  Network mechanism for burst generation. , 2007, Physical review letters.

[34]  Alexey N. Pavlov,et al.  Wavelets in Neuroscience , 2014, Springer Series in Synergetics.