Literature DB >> 19235884

Source connectivity analysis with MEG and EEG.

Jan-Mathijs Schoffelen1, Joachim Gross.   

Abstract

Interactions between functionally specialized brain regions are crucial for normal brain function. Magnetoencephalography (MEG) and electroencephalography (EEG) are techniques suited to capture these interactions, because they provide whole head measurements of brain activity in the millisecond range. More than one sensor picks up the activity of an underlying source. This field spread severely limits the utility of connectivity measures computed directly between sensor recordings. Consequentially, neuronal interactions should be studied on the level of the reconstructed sources. This article reviews several methods that have been applied to investigate interactions between brain regions in source space. We will mainly focus on the different measures used to quantify connectivity, and on the different strategies adopted to identify regions of interest. Despite various successful accounts of MEG and EEG source connectivity, caution with respect to the interpretation of the results is still warranted. This is due to the fact that effects of field spread can never be completely abolished in source space. However, in this very exciting and developing field of research this cautionary note should not discourage researchers from further investigation into the connectivity between neuronal sources. (c) 2009 Wiley-Liss, Inc.

Mesh:

Year:  2009        PMID: 19235884      PMCID: PMC6870611          DOI: 10.1002/hbm.20745

Source DB:  PubMed          Journal:  Hum Brain Mapp        ISSN: 1065-9471            Impact factor:   5.038


  41 in total

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Journal:  Brain       Date:  2003-01       Impact factor: 13.501

2.  A neural mass model for MEG/EEG: coupling and neuronal dynamics.

Authors:  Olivier David; Karl J Friston
Journal:  Neuroimage       Date:  2003-11       Impact factor: 6.556

3.  The magnetic lead field theorem in the quasi-static approximation and its use for magnetoencephalography forward calculation in realistic volume conductors.

Authors:  Guido Nolte
Journal:  Phys Med Biol       Date:  2003-11-21       Impact factor: 3.609

4.  Identifying true brain interaction from EEG data using the imaginary part of coherency.

Authors:  Guido Nolte; Ou Bai; Lewis Wheaton; Zoltan Mari; Sherry Vorbach; Mark Hallett
Journal:  Clin Neurophysiol       Date:  2004-10       Impact factor: 3.708

5.  Spatiotemporal dynamics and connectivity pattern differences between centrally and peripherally presented faces.

Authors:  Lichan Liu; Andreas A Ioannides
Journal:  Neuroimage       Date:  2006-03-24       Impact factor: 6.556

6.  Understanding brain connectivity from EEG data by identifying systems composed of interacting sources.

Authors:  Laura Marzetti; Cosimo Del Gratta; Guido Nolte
Journal:  Neuroimage       Date:  2008-05-06       Impact factor: 6.556

7.  Measuring directional coupling between EEG sources.

Authors:  Germán Gómez-Herrero; Mercedes Atienza; Karen Egiazarian; Jose L Cantero
Journal:  Neuroimage       Date:  2008-07-26       Impact factor: 6.556

8.  Dynamic imaging of coherent sources: Studying neural interactions in the human brain.

Authors:  J Gross; J Kujala; M Hamalainen; L Timmermann; A Schnitzler; R Salmelin
Journal:  Proc Natl Acad Sci U S A       Date:  2001-01-16       Impact factor: 11.205

9.  Dynamic causal modelling of evoked potentials: a reproducibility study.

Authors:  Marta I Garrido; James M Kilner; Stefan J Kiebel; Klaas E Stephan; Karl J Friston
Journal:  Neuroimage       Date:  2007-03-27       Impact factor: 6.556

10.  A neural mass model of spectral responses in electrophysiology.

Authors:  R J Moran; S J Kiebel; K E Stephan; R B Reilly; J Daunizeau; K J Friston
Journal:  Neuroimage       Date:  2007-05-31       Impact factor: 6.556

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  250 in total

Review 1.  Spectral fingerprints of large-scale neuronal interactions.

Authors:  Markus Siegel; Tobias H Donner; Andreas K Engel
Journal:  Nat Rev Neurosci       Date:  2012-01-11       Impact factor: 34.870

2.  Dynamic task-specific brain network connectivity in children with severe reading difficulties.

Authors:  Michael Vourkas; Sifis Micheloyannis; Panagiotis G Simos; Roozbeh Rezaie; Jack M Fletcher; Paul T Cirino; Andrew C Papanicolaou
Journal:  Neurosci Lett       Date:  2010-11-10       Impact factor: 3.046

3.  Development of Network Synchronization Predicts Language Abilities.

Authors:  Sam M Doesburg; Keriann Tingling; Matt J MacDonald; Elizabeth W Pang
Journal:  J Cogn Neurosci       Date:  2015-09-24       Impact factor: 3.225

4.  Temporal Information of Directed Causal Connectivity in Multi-Trial ERP Data using Partial Granger Causality.

Authors:  Vahab Youssofzadeh; Girijesh Prasad; Muhammad Naeem; KongFatt Wong-Lin
Journal:  Neuroinformatics       Date:  2016-01

5.  Psilocybin-induced spiritual experiences and insightfulness are associated with synchronization of neuronal oscillations.

Authors:  Michael Kometer; Thomas Pokorny; Erich Seifritz; Franz X Volleinweider
Journal:  Psychopharmacology (Berl)       Date:  2015-08-01       Impact factor: 4.530

6.  A geometric correction scheme for spatial leakage effects in MEG/EEG seed-based functional connectivity mapping.

Authors:  Vincent Wens; Brice Marty; Alison Mary; Mathieu Bourguignon; Marc Op de Beeck; Serge Goldman; Patrick Van Bogaert; Philippe Peigneux; Xavier De Tiège
Journal:  Hum Brain Mapp       Date:  2015-09-02       Impact factor: 5.038

Review 7.  IFCN-endorsed practical guidelines for clinical magnetoencephalography (MEG).

Authors:  Riitta Hari; Sylvain Baillet; Gareth Barnes; Richard Burgess; Nina Forss; Joachim Gross; Matti Hämäläinen; Ole Jensen; Ryusuke Kakigi; François Mauguière; Nobukatzu Nakasato; Aina Puce; Gian-Luca Romani; Alfons Schnitzler; Samu Taulu
Journal:  Clin Neurophysiol       Date:  2018-04-17       Impact factor: 3.708

8.  The contribution of electrophysiology to functional connectivity mapping.

Authors:  Marieke L Schölvinck; David A Leopold; Matthew J Brookes; Patrick H Khader
Journal:  Neuroimage       Date:  2013-04-13       Impact factor: 6.556

9.  Decreased event-related theta power and phase-synchrony in young binge drinkers during target detection: An anatomically-constrained MEG approach.

Authors:  A Correas; E López-Caneda; L Beaton; S Rodríguez Holguín; L M García-Moreno; L F Antón-Toro; F Cadaveira; F Maestú; K Marinkovic
Journal:  J Psychopharmacol       Date:  2018-10-24       Impact factor: 4.153

10.  Oscillation-Based Connectivity Architecture Is Dominated by an Intrinsic Spatial Organization, Not Cognitive State or Frequency.

Authors:  Parham Mostame; Sepideh Sadaghiani
Journal:  J Neurosci       Date:  2020-11-17       Impact factor: 6.167

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