Multiscale neural connectivity during human sensory processing in the brain.

Stimulus-related brain activity is considered using wavelet-based analysis of neural interactions between occipital and parietal brain areas in alpha (8-12 Hz) and beta (15-30 Hz) frequency bands. We show that human sensory processing related to the visual stimuli perception induces brain response resulted in different ways of parieto-occipital interactions in these bands. In the alpha frequency band the parieto-occipital neuronal network is characterized by homogeneous increase of the interaction between all interconnected areas both within occipital and parietal lobes and between them. In the beta frequency band the occipital lobe starts to play a leading role in the dynamics of the occipital-parietal network: The perception of visual stimuli excites the visual center in the occipital area and then, due to the increase of parieto-occipital interactions, such excitation is transferred to the parietal area, where the attentional center takes place. In the case when stimuli are characterized by a high degree of ambiguity, we find greater increase of the interaction between interconnected areas in the parietal lobe due to the increase of human attention. Based on revealed mechanisms, we describe the complex response of the parieto-occipital brain neuronal network during the perception and primary processing of the visual stimuli. The results can serve as an essential complement to the existing theory of neural aspects of visual stimuli processing.

[1]  Alexander N. Pisarchik,et al.  Critical slowing down and noise-induced intermittency in bistable perception: bifurcation analysis , 2014, Biological Cybernetics.

[2]  R. Desimone,et al.  Laminar differences in gamma and alpha coherence in the ventral stream , 2011, Proceedings of the National Academy of Sciences.

[3]  E. Macaluso,et al.  Occipital-parietal interactions during shifts of exogenous visuospatial attention: trial-dependent changes of effective connectivity. , 2004, Magnetic Resonance Imaging.

[4]  John J. Foxe,et al.  Multisensory auditory-visual interactions during early sensory processing in humans: a high-density electrical mapping study. , 2002, Brain research. Cognitive brain research.

[5]  Gian Domenico Iannetti,et al.  Alpha and gamma oscillation amplitudes synergistically predict the perception of forthcoming nociceptive stimuli , 2015, Human brain mapping.

[6]  Fernando Maestú,et al.  Artificial neural network detects human uncertainty. , 2018, Chaos.

[7]  N. Shourie Cepstral Analysis of EEG During Visual Perception and Mental Imagery Reveals the Influence of Artistic Expertise , 2016, Journal of medical signals and sensors.

[8]  Pejman Sehatpour,et al.  A human intracranial study of long-range oscillatory coherence across a frontal–occipital–hippocampal brain network during visual object processing , 2008, Proceedings of the National Academy of Sciences.

[9]  Geraint Rees,et al.  Human Occipital and Parietal GABA Selectively Influence Visual Perception of Orientation and Size , 2017, The Journal of Neuroscience.

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

[11]  Manuel Schabus,et al.  A shift of visual spatial attention is selectively associated with human EEG alpha activity , 2005, The European journal of neuroscience.

[12]  Robert T Knight,et al.  Prefrontal cortex modulates posterior alpha oscillations during top-down guided visual perception , 2017, Proceedings of the National Academy of Sciences.

[13]  Helmut Laufs,et al.  Where the BOLD signal goes when alpha EEG leaves , 2006, NeuroImage.

[14]  H. Kennedy,et al.  Alpha-Beta and Gamma Rhythms Subserve Feedback and Feedforward Influences among Human Visual Cortical Areas , 2016, Neuron.

[15]  M. Balconi,et al.  Consciousness and arousal effects on emotional face processing as revealed by brain oscillations. A gamma band analysis. , 2008, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.

[16]  John J. Foxe,et al.  The Role of Alpha-Band Brain Oscillations as a Sensory Suppression Mechanism during Selective Attention , 2011, Front. Psychology.

[17]  Arnaud Delorme,et al.  Frontal midline EEG dynamics during working memory , 2005, NeuroImage.

[18]  C T VAN VALKENBURG,et al.  [Neurology of consciousness]. , 1958, Nederlands tijdschrift voor geneeskunde.

[19]  Christopher W. Pleydell-Pearce,et al.  The phase of pre-stimulus alpha oscillations influences the visual perception of stimulus timing , 2016, NeuroImage.

[20]  A. Wróbel,et al.  Beta activity: a carrier for visual attention. , 2000, Acta neurobiologiae experimentalis.

[21]  John T. Serences,et al.  Attention modulates spatial priority maps in the human occipital, parietal and frontal cortices , 2013, Nature Neuroscience.

[22]  Manuel Schabus,et al.  Fronto-parietal EEG coherence in theta and upper alpha reflect central executive functions of working memory. , 2005, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.

[23]  F. H. Lopes da Silva,et al.  Interdependence of EEG signals: Linear vs. nonlinear Associations and the significance of time delays and phase shifts , 2005, Brain Topography.

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

[25]  Michael Bach,et al.  Necker cube: stimulus-related (low-level) and percept-related (high-level) EEG signatures early in occipital cortex. , 2011, Journal of vision.

[26]  R. VanRullen,et al.  The Phase of Ongoing EEG Oscillations Predicts Visual Perception , 2009, The Journal of Neuroscience.

[27]  T. Ergenoğlu,et al.  Alpha rhythm of the EEG modulates visual detection performance in humans. , 2004, Brain research. Cognitive brain research.

[28]  Alexander N. Pisarchik,et al.  Controlling bistability in a stochastic perception model , 2015 .

[29]  Front , 2020, 2020 Fourth World Conference on Smart Trends in Systems, Security and Sustainability (WorldS4).

[30]  A. Banerjee,et al.  Large Scale Functional Brain Networks Underlying Temporal Integration of Audio-Visual Speech Perception: An EEG Study , 2016, Front. Psychol..

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

[32]  Vladimir Nedayvozov,et al.  Visual perception affected by motivation and alertness controlled by a noninvasive brain-computer interface , 2017, PloS one.

[33]  Anastasiya E. Runnova,et al.  Classifying the Perceptual Interpretations of a Bistable Image Using EEG and Artificial Neural Networks , 2017, Front. Neurosci..

[34]  L. A. N. Esq.,et al.  LXI. Observations on some remarkable optical phænomena seen in Switzerland; and on an optical phænomenon which occurs on viewing a figure of a crystal or geometrical solid , 1832 .

[35]  Ernst Fernando Lopes Da Silva Niedermeyer,et al.  Electroencephalography, basic principles, clinical applications, and related fields , 1982 .

[36]  A. Wróbel,et al.  EEG beta band activity is related to attention and attentional deficits in the visual performance of elderly subjects. , 2013, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.

[37]  Y. Coello,et al.  Conflict between gesture representations extinguishes μ rhythm desynchronization during manipulable object perception: An EEG study , 2018, Biological Psychology.

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

[39]  Pascal Fries,et al.  Stimulus-induced visual cortical networks are recapitulated by spontaneous local and interareal synchronization , 2015, Proceedings of the National Academy of Sciences.

[40]  Saskia Haegens,et al.  Inter- and intra-individual variability in alpha peak frequency , 2014, NeuroImage.

[41]  Daniel Strüber,et al.  Voluntary control of Necker cube reversals modulates the EEG delta- and gamma-band response , 2006, Neuroscience Letters.

[42]  T. Sejnowski,et al.  Estimating alertness from the EEG power spectrum , 1997, IEEE Transactions on Biomedical Engineering.

[43]  P. Fries,et al.  Beta Oscillation Dynamics in Extrastriate Cortex after Removal of Primary Visual Cortex , 2014, The Journal of Neuroscience.

[44]  Stefano Boccaletti,et al.  Macroscopic and microscopic spectral properties of brain networks during local and global synchronization. , 2017, Physical review. E.

[45]  C. Dang,et al.  Using recurrence plot for determinism analysis of EEG recordings in genetic absence epilepsy rats , 2008, Clinical Neurophysiology.

[46]  G. Gregoriou,et al.  Oscillatory synchrony as a mechanism of attentional processing , 2015, Brain Research.

[47]  Xiaoping Hu,et al.  Activity and effective connectivity of parietal and occipital cortical regions during haptic shape perception , 2007, Neuropsychologia.

[48]  Gordon Pipa,et al.  Transfer entropy—a model-free measure of effective connectivity for the neurosciences , 2010, Journal of Computational Neuroscience.

[49]  Ning-Han Liu,et al.  Recognizing the Degree of Human Attention Using EEG Signals from Mobile Sensors , 2013, Sensors.

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

[51]  A. Ishai,et al.  Effective connectivity within the distributed cortical network for face perception. , 2007, Cerebral cortex.

[52]  Alexander N. Pisarchik,et al.  Stochastic sensitivity of a bistable energy model for visual perception , 2017 .