Dominant Patterns of Information Flow in the Propagation of the Neuromagnetic Somatosensory Steady-State Response.

作者: Vasily A Vakorin , Bernhard Ross , Sam M Doesburg , Urs Ribary , Anthony R McIntosh

DOI: 10.3389/FNCIR.2018.00118

关键词: Motor cortexSystems neuroscienceNeuroscienceSomatosensory systemIndex fingerThalamusPhysicsCerebellumCoupling (electronics)Stimulation

摘要: Methods of functional connectivity are applied ubiquitously in studies involving non-invasive whole-brain signals, but may be not optimal for exploring the propagation steady-state responses, which strong oscillatory patterns neurodynamics evoked by periodic stimulation. In our study, we explore a network underlying somatosensory response using methods effective connectivity. Human magnetoencephalographic (MEG) data were collected 10 young healthy adults during 23-Hz vibro-tactile stimulation right hand index finger. The dynamics MEG source activity was reconstructed with linearly-constrained minimum variance beamformer. We information-theoretic tools to quantify asymmetries information flows between primary area SI and rest brain. Our analysis identified pattern coupling, leading from secondary somato-sensory SII, thalamus, motor cortex all contralateral stimuli as well cerebellum ipsilateral stimuli. results support previously reported empirical evidence both vitro vivo, indicating critical areas activation system at level systems neuroscience.

参考文章(48)
S. Murray Sherman, Thalamic relay functions. Progress in Brain Research. ,vol. 134, pp. 51- 69 ,(2001) , 10.1016/S0079-6123(01)34005-0
Minoru Hoshiyama, Ryusuke Kakigi, Sachiko Koyama, Shoko Watanabe, Motoko Shimojo, Activity in posterior parietal cortex following somatosensory stimulation in man: magnetoencephalographic study using spatio-temporal source analysis Brain Topography. ,vol. 10, pp. 23- 30 ,(1997) , 10.1023/A:1022206906360
Boris P. Bezruchko, Dmitry A. Smirnov, Extracting Knowledge From Time Series Extracting Knowledge From Time Series: An Introduction to Nonlinear Empirical Modeling. ,(2010) , 10.1007/978-3-642-12601-7
Handbook of Brain Connectivity Handbook of Brain Connectivity: Understanding Complex Systems. ,(2007) , 10.1007/978-3-540-71512-2
Joshua S. Richman, J. Randall Moorman, Physiological time-series analysis using approximate entropy and sample entropy American Journal of Physiology-heart and Circulatory Physiology. ,vol. 278, ,(2000) , 10.1152/AJPHEART.2000.278.6.H2039
Steven L. Bressler, Large-scale cortical networks and cognition Brain Research Reviews. ,vol. 20, pp. 288- 304 ,(1995) , 10.1016/0165-0173(94)00016-I
Arshad Zaman, Wendy Moody, Francis McGlone, N. Roberts, An fMRI study of touch NeuroImage. ,vol. 13, pp. 1285- ,(2001) , 10.1016/S1053-8119(01)92599-6
Christoph Baumgartner, Andreas Doppelbauer, William W. Sutherling, Gerald Lindinger, Michel F. Levesque, Susanne Aull, Josef Zeitlhofer, Lüder Deecke, Somatotopy of human hand somatosensory cortex as studied in scalp EEG Electroencephalography and Clinical Neurophysiology. ,vol. 88, pp. 271- 279 ,(1993) , 10.1016/0168-5597(93)90051-P
Mario Chávez, Jacques Martinerie, Michel Le Van Quyen, Statistical assessment of nonlinear causality: application to epileptic EEG signals. Journal of Neuroscience Methods. ,vol. 124, pp. 113- 128 ,(2003) , 10.1016/S0165-0270(02)00367-9