Magnetoencephalography for brain electrophysiology and imaging

被引:534
作者
Baillet, Sylvain [1 ]
机构
[1] McGill Univ, Montreal Neurol Inst, McConnell Brain Imaging Ctr, Montreal, PQ, Canada
关键词
INTERICTAL EPILEPTIFORM ACTIVITY; SPONTANEOUS FLUCTUATIONS; FUNCTIONAL CONNECTIVITY; PREOPERATIVE EVALUATION; CORTICAL OSCILLATIONS; OBJECT RECOGNITION; EVOKED RESPONSES; SIMULTANEOUS MEG; VISUAL-CORTEX; COMBINING MEG;
D O I
10.1038/nn.4504
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
We review the aspects that uniquely characterize magnetoencephalography (MEG) among the techniques available to explore and resolve brain function and dysfunction. While emphasizing its specific strengths in terms of millisecond source imaging, we also identify and discuss current practical challenges, in particular in signal extraction and interpretation. We also take issue with some perceived disadvantages of MEG, including the misconception that the technique is redundant with electroencephalography. Overall, MEG contributes uniquely to our deeper comprehension of both regional and large-scale brain dynamics: from the functions of neural oscillations and the nature of event-related brain activation, to the mechanisms of functional connectivity between regions and the emergence of modes of network communication in brain systems. We expect MEG to play an increasing and pivotal role in the elucidation of these grand mechanistic principles of cognitive, systems and clinical neuroscience.
引用
收藏
页码:327 / 339
页数:13
相关论文
共 142 条
  • [1] Magnetoencephalography of Epilepsy with a Microfabricated Atomic Magnetrode
    Alem, Orang
    Benison, Alex M.
    Barth, Daniel S.
    Kitching, John
    Knappe, Svenja
    [J]. JOURNAL OF NEUROSCIENCE, 2014, 34 (43) : 14324 - 14327
  • [2] Magnetoencephalography in the Preoperative Evaluation for Epilepsy Surgery
    Anderson, Christopher T.
    Carlson, Chad E.
    Li, Zhimin
    Raghavan, Manoj
    [J]. CURRENT NEUROLOGY AND NEUROSCIENCE REPORTS, 2014, 14 (05)
  • [3] Cortical oscillations and sensory predictions
    Arnal, Luc H.
    Giraud, Anne-Lise
    [J]. TRENDS IN COGNITIVE SCIENCES, 2012, 16 (07) : 390 - 398
  • [4] Modelling and detecting deep brain activity with MEG and EEG
    Attal, Y.
    Bhattacharjee, M.
    Yelnik, J.
    Cottereau, B.
    Lefevre, J.
    Okada, Y.
    Bardinet, E.
    Chupin, M.
    Baillet, S.
    [J]. IRBM, 2009, 30 (03) : 133 - 138
  • [5] Assessment of Subcortical Source Localization Using Deep Brain Activity Imaging Model with Minimum Norm Operators: A MEG Study
    Attal, Yohan
    Schwartz, Denis
    [J]. PLOS ONE, 2013, 8 (03):
  • [6] Evaluation of inverse methods and head models for EEG source localization using a human skull phantom
    Baillet, S
    Riera, JJ
    Marin, G
    Mangin, JF
    Aubert, J
    Garnero, L
    [J]. PHYSICS IN MEDICINE AND BIOLOGY, 2001, 46 (01) : 77 - 96
  • [7] Electromagnetic brain mapping
    Baillet, S
    Mosher, JC
    Leahy, RM
    [J]. IEEE SIGNAL PROCESSING MAGAZINE, 2001, 18 (06) : 14 - 30
  • [8] Combined MEG and EEG source imaging by minimization of mutual information
    Baillet, S
    Garnero, L
    Marin, G
    Hugonin, JP
    [J]. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 1999, 46 (05) : 522 - 534
  • [9] Academic Software Applications for Electromagnetic Brain Mapping Using MEG and EEG
    Baillet, Sylvain
    Friston, Karl
    Oostenveld, Robert
    [J]. COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE, 2011, 2011
  • [10] Neural Mechanisms of Object-Based Attention
    Baldauf, Daniel
    Desimone, Robert
    [J]. SCIENCE, 2014, 344 (6182) : 424 - 427