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P31.3 On the estimation of causality between cortical spatial patterns during voluntary movements in normal subjects by using independent component analysis

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Clinical Neurophysiology 2006年 117卷 149-149页

作者： H. Bakardjian F. Babiloni A. Cichocki F. Cincotti M.G. Marciani F. De Vico Fallani F. Miwakeichi Y. Yamaguchi L. Astolfi D. Mattia Laboratory for Advanced Brain Signal Processing Riken Brain Science Institute Japan IRCCS Fondazione Santa Lucia Italy Centro di Ricerca de “La Sapienza” Italy Department of Medical System Engineering Faculty of Engineering Chiba University Japan Laboratory for Dynamics of Emergent Intelligence Riken Brain Science Institute Japan Universita’ “La Sapienza” Italy

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Modeling the relationship between regional activation and functional connectivity during wakefulness and sleep

arXiv

引用

arXiv 2019年

作者： Ipinã, Ignacio Perez Kehoe, Patricio Donnelly Kringelbach, Morten Laufs, Helmut Ibañez, Agustin Deco1, Gustavo Per, Yonatan Sanz Tagliazucchi, Enzo Department of Physics University of Buenos Aires National Scientific and Technical Research Council Buenos Aires Centro Internacional Franco Argentino de Ciencias de la Información y de Sistemas National Scientific and Technical Research Council Rosario Argentina Laboratory for System Dynamics and Signal Processing Universidad Nacional de Rosario Laboratory of Neuroimaging and Neuroscience INECO Foundation Rosario Rosario Department of Psychiatry University of Oxford Oxford United Kingdom Center for Music in the Brain Dept. of Clinical Medicine Aarhus University Department of Neurology University of Kiel Kiel Germany Laboratory of Experimental Psychology and Neuroscience Institute of Cognitive and Translational Neuroscience INECO Foundation Favaloro University Buenos Aires Centre of Excellence in Cognition and Its Disorders Australian Research Council Sydney Center for Social and Cognitive Neuroscience School of Psychology Universidad Adolfo Ibáñez Santiago Universidad Autónoma Del Caribe Barranquilla Colombia Center for Brain and Cognition Computational Neuroscience Group Department of Information and Communication Technologies Universitat Pompeu Fabra Barcelona Institució Catalana de la Recerca i Estudis Avancats Universitat Pompeu Fabra Barcelona

Global brain activity self-organizes into discrete patterns characterized by distinct behavioral observables and modes of information processing. The human thalamocortical system is a densely connected network where local neural activation reciprocally influences coordinated collective dynamics. We introduce a semi-empirical model to investigate the relationship between regional activation and long-range functional connectivity in the different brain states visited during the natural wake-sleep cycle. Our model combines functional magnetic resonance imaging (fMRI) data, in vivo estimates of structural connectivity, and anatomically-informed priors that constrain the independent variation of regional activation. As expected, priors based on functionally coherent networks resulted in the best fit between empirical and simulated brain activity. We show that sleep progressively divided the cortex into regions presenting opposite dynamical behavior: Frontoparietal regions approached a bifurcation towards local oscillatory dynamics, while sensorimotor regions presented stable dynamics governed by noise. In agreement with human electrophysiological experiments, sleep onset induced subcortical deactivation and uncoupling, which was subsequently reversed for deeper stages. Finally, we introduced external forcing of variable intensity to simulate external perturbations, and identifiedthe key regionsespecially relevant for the recovery of wakefulness from deep sleep. Our model represents sleep as a state where long-range decoupling and regional deactivation coexist with the latent capacity for a rapid transition towards wakefulness. The mechanistic insights provided by our simulations allow the in silico parametric exploration of such transitions in terms of external perturbations, with potential applications for the control of physiological and pathological brain states. Copyright © 2019, The Authors. All rights reserved.

关键词： Chemical activation

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