Modular Patterns of Phase Desynchronization Networks During a Simple Visuomotor Task

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• 作者：D. S. Mylonas ; C. I. Siettos ; I. Evdokimidis ; A. C. Papanicolaou…
• 关键词：MEG ; Functional brain connectivity networks ; Phase ; locking value ; Phase scattering ; Visuomotor response ; Empirical mode decomposition ; Task ; negative networks
• 刊名：Brain Topography
• 出版年：2016
• 出版时间：January 2016
• 年：2016
• 卷：29
• 期：1
• 页码：118-129
• 全文大小：2,683 KB
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• 作者单位：D. S. Mylonas (1) (2)
  C. I. Siettos (1)
  I. Evdokimidis (3)
  A. C. Papanicolaou (4)
  N. Smyrnis (2) (5)
  
  1. School of Applied Mathematics and Physical Sciences, National Technical University of Athens, 9 Heroon Polytechniou str., 15780, Athens, Greece
  2. Laboratory of Sensorimotor Control, University Mental Health Research Institute, 2 Soranou Efesiou str., 11527, Athens, Greece
  3. Neurology Department, Aeginition Hospital, Medical School, National and Kapodistrian University of Athens, 72 V. Sofias Ave., 11528, Athens, Greece
  4. Division of Clinical Neurosciences, Department of Pediatrics, University of Tennessee and Neuroscience Institute, Le Bonheur Hospital, 777 Washington Ave., Memphis, TN, 38105, USA
  5. Psychiatry Department, Aeginition Hospital, Medical School, National and Kapodistrian University of Athens, 72 V. Sofias Ave., 11528, Athens, Greece
  
• 刊物类别：Biomedical and Life Sciences
• 刊物主题：Biomedicine
  Neurosciences
  Psychiatry
  Neurology
  
• 出版者：Springer New York
• ISSN：1573-6792

文摘

By performing sensor-level analysis on magnetoencephalography (MEG) data we identified the dynamic evolution of the functional connectivity networks during a simple visuomotor task. The functional connectivity networks were constructed using the concept of phase-locking value (PLV). We illustrate that the task-related activity is mediated by distinct complex networks related to the PLV desynchronization that configure their architecture dynamically during the task. These networks are prominent at β and α band, and are characterized by coherent modular organization. Moreover the time for the development of the desynchronization networks at α band predicts the intra-subject variability of reaction time. Thus, the spatio-temporal dynamics and the structural properties of the emerged functional networks share common characteristics with the mechanism of coactivation and resting state networks. Keywords MEG Functional brain connectivity networks Phase-locking value Phase scattering Visuomotor response Empirical mode decomposition Task-negative networks