Literature DB >> 22102157

Source connectivity analysis from MEG and its application to epilepsy source localization.

Yakang Dai1, Wenbo Zhang, Deanna L Dickens, Bin He.   

Abstract

We report an approach to perform source connectivity analysis from MEG, and initially evaluate this approach to interictal MEG to localize epileptogenic foci and analyze interictal discharge propagations in patients with medically intractable epilepsy. Cortical activities were reconstructed from MEG using individual realistic geometry boundary element method head models. Directional connectivity among cortical regions of interest was then estimated using directed transfer function. The MEG source connectivity analysis method was implemented in the eConnectome software, which is open-source and freely available at http://econnectome.umn.edu . As an initial evaluation, the method was applied to study MEG interictal spikes from five epilepsy patients. Estimated primary epileptiform sources were consistent with surgically resected regions, suggesting the feasibility of using cortical source connectivity analysis from interictal MEG for potential localization of epileptiform activities.

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Year:  2011        PMID: 22102157      PMCID: PMC3299922          DOI: 10.1007/s10548-011-0211-0

Source DB:  PubMed          Journal:  Brain Topogr        ISSN: 0896-0267            Impact factor:   3.020


  36 in total

1.  EEG and MEG: forward solutions for inverse methods.

Authors:  J C Mosher; R M Leahy; P S Lewis
Journal:  IEEE Trans Biomed Eng       Date:  1999-03       Impact factor: 4.538

2.  Sensitivity of MEG and EEG to source orientation.

Authors:  Seppo P Ahlfors; Jooman Han; John W Belliveau; Matti S Hämäläinen
Journal:  Brain Topogr       Date:  2010-07-18       Impact factor: 3.020

3.  Estimation of the cortical functional connectivity with the multimodal integration of high-resolution EEG and fMRI data by directed transfer function.

Authors:  F Babiloni; F Cincotti; C Babiloni; F Carducci; D Mattia; L Astolfi; A Basilisco; P M Rossini; L Ding; Y Ni; J Cheng; K Christine; J Sweeney; B He
Journal:  Neuroimage       Date:  2005-01-01       Impact factor: 6.556

4.  Motor imagery classification by means of source analysis for brain-computer interface applications.

Authors:  Lei Qin; Lei Ding; Bin He
Journal:  J Neural Eng       Date:  2004-08-31       Impact factor: 5.379

5.  Assessing cortical functional connectivity by linear inverse estimation and directed transfer function: simulations and application to real data.

Authors:  L Astolfi; F Cincotti; D Mattia; C Babiloni; F Carducci; A Basilisco; P M Rossini; S Salinari; L Ding; Y Ni; B He; F Babiloni
Journal:  Clin Neurophysiol       Date:  2004-12-28       Impact factor: 3.708

6.  Electric dipole tracing in the brain by means of the boundary element method and its accuracy.

Authors:  B He; T Musha; Y Okamoto; S Homma; Y Nakajima; T Sato
Journal:  IEEE Trans Biomed Eng       Date:  1987-06       Impact factor: 4.538

7.  eConnectome: A MATLAB toolbox for mapping and imaging of brain functional connectivity.

Authors:  Bin He; Yakang Dai; Laura Astolfi; Fabio Babiloni; Han Yuan; Lin Yang
Journal:  J Neurosci Methods       Date:  2010-12-02       Impact factor: 2.390

8.  Propagation of epileptic spikes reconstructed from spatiotemporal magnetoencephalographic and electroencephalographic source analysis.

Authors:  Naoaki Tanaka; Matti S Hämäläinen; Seppo P Ahlfors; Hesheng Liu; Joseph R Madsen; Blaise F Bourgeois; Jong Woo Lee; Barbara A Dworetzky; John W Belliveau; Steven M Stufflebeam
Journal:  Neuroimage       Date:  2009-12-16       Impact factor: 6.556

9.  Estimation of in vivo brain-to-skull conductivity ratio in humans.

Authors:  Yingchun Zhang; Wim van Drongelen; Bin He
Journal:  Appl Phys Lett       Date:  2006       Impact factor: 3.791

10.  Can magnetoencephalography aid epilepsy surgery?

Authors:  Robert C Knowlton
Journal:  Epilepsy Curr       Date:  2008 Jan-Feb       Impact factor: 7.500

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  11 in total

1.  Noninvasive Electromagnetic Source Imaging and Granger Causality Analysis: An Electrophysiological Connectome (eConnectome) Approach.

Authors:  Abbas Sohrabpour; Shuai Ye; Gregory A Worrell; Wenbo Zhang; Bin He
Journal:  IEEE Trans Biomed Eng       Date:  2016-10-11       Impact factor: 4.538

2.  Interictal networks in magnetoencephalography.

Authors:  Urszula Malinowska; Jean-Michel Badier; Martine Gavaret; Fabrice Bartolomei; Patrick Chauvel; Christian-George Bénar
Journal:  Hum Brain Mapp       Date:  2013-09-18       Impact factor: 5.038

3.  Magnetoencephalographic signatures of insular epileptic spikes based on functional connectivity.

Authors:  Younes Zerouali; Philippe Pouliot; Manon Robert; Ismail Mohamed; Alain Bouthillier; Frédéric Lesage; Dang K Nguyen
Journal:  Hum Brain Mapp       Date:  2016-05-24       Impact factor: 5.038

4.  Epileptic neuronal networks: methods of identification and clinical relevance.

Authors:  Hermann Stefan; Fernando H Lopes da Silva
Journal:  Front Neurol       Date:  2013-03-01       Impact factor: 4.003

5.  EEGNET: An Open Source Tool for Analyzing and Visualizing M/EEG Connectome.

Authors:  Mahmoud Hassan; Mohamad Shamas; Mohamad Khalil; Wassim El Falou; Fabrice Wendling
Journal:  PLoS One       Date:  2015-09-17       Impact factor: 3.240

Review 6.  Mapping epileptic activity: sources or networks for the clinicians?

Authors:  Francesca Pittau; Pierre Mégevand; Laurent Sheybani; Eugenio Abela; Frédéric Grouiller; Laurent Spinelli; Christoph M Michel; Margitta Seeck; Serge Vulliemoz
Journal:  Front Neurol       Date:  2014-11-05       Impact factor: 4.003

7.  Permutation Statistics for Connectivity Analysis between Regions of Interest in EEG and MEG Data.

Authors:  Fahimeh Mamashli; Matti Hämäläinen; Jyrki Ahveninen; Tal Kenet; Sheraz Khan
Journal:  Sci Rep       Date:  2019-05-28       Impact factor: 4.379

8.  Estimating Directed Connectivity from Cortical Recordings and Reconstructed Sources.

Authors:  Margarita Papadopoulou; Karl Friston; Daniele Marinazzo
Journal:  Brain Topogr       Date:  2015-09-09       Impact factor: 3.020

9.  Reliability of EEG Interactions Differs between Measures and Is Specific for Neurological Diseases.

Authors:  Yvonne Höller; Kevin Butz; Aljoscha Thomschewski; Elisabeth Schmid; Andreas Uhl; Arne C Bathke; Georg Zimmermann; Santino O Tomasi; Raffaele Nardone; Wolfgang Staffen; Peter Höller; Markus Leitinger; Julia Höfler; Gudrun Kalss; Alexandra C Taylor; Giorgi Kuchukhidze; Eugen Trinka
Journal:  Front Hum Neurosci       Date:  2017-07-05       Impact factor: 3.169

10.  Frequency-specific changes in the default mode network in patients with cingulate gyrus epilepsy.

Authors:  Xuerong Leng; Jing Xiang; Yingxue Yang; Tao Yu; Xiaohong Qi; Xiating Zhang; Siqi Wu; Yuping Wang
Journal:  Hum Brain Mapp       Date:  2020-02-25       Impact factor: 5.038

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