Literature DB >> 21113332

Using Granger-Geweke causality model to evaluate the effective connectivity of primary motor cortex (M1), supplementary motor area (SMA) and cerebellum.

Le Zhang1, Guangjin Zhong, Yukun Wu, Mark G Vangel, Beini Jiang, Jian Kong.   

Abstract

Currently, Granger-Geweke causality models have been widely applied to investigate the dynamic direction relationships among brain regions. In a previous study, we have found that the right hand finger-tapping task can produce relatively reliable brain response. As an extension of our previous study, we developed an algorithm based on the classical Granger-Geweke causality model to further investigate the effective connectivity of three brain regions (left primary motor cortex (M1), supplementary motor area (SMA) and right cerebellum) that showed the most robust brain activations. Our computational results not only confirm the strong linear feedback among SMA, M1 and right cerebellum, but also demonstrate that M1 is the hub of these three regions indicated by the anatomy research. Moreover, the model predicts the high intermediate node density existing in the area between SMA and M1, which will stimulate the imaging experimentalists to carry out new experiments to validate this postulation.

Entities:  

Year:  2010        PMID: 21113332      PMCID: PMC2991070          DOI: 10.4236/jbise.2010.39115

Source DB:  PubMed          Journal:  J Biomed Sci Eng        ISSN: 1937-6871


  16 in total

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Authors:  Andrea Brovelli; Mingzhou Ding; Anders Ledberg; Yonghong Chen; Richard Nakamura; Steven L Bressler
Journal:  Proc Natl Acad Sci U S A       Date:  2004-06-21       Impact factor: 11.205

2.  Estimation of the effective and functional human cortical connectivity with structural equation modeling and directed transfer function applied to high-resolution EEG.

Authors:  Laura Astolfi; Febo Cincotti; Donatella Mattia; Serenella Salinari; Claudio Babiloni; Alessandra Basilisco; Paolo Maria Rossini; Lei Ding; Ying Ni; Bin He; Maria Grazia Marciani; Fabio Babiloni
Journal:  Magn Reson Imaging       Date:  2004-12       Impact factor: 2.546

3.  A graphical approach for evaluating effective connectivity in neural systems.

Authors:  Michael Eichler
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2005-05-29       Impact factor: 6.237

4.  A new method for detecting causality in fMRI data of cognitive processing.

Authors:  Alessandro Londei; Alessandro D'Ausilio; Demis Basso; Marta Olivetti Belardinelli
Journal:  Cogn Process       Date:  2005-10-27

5.  Test-retest study of fMRI signal change evoked by electroacupuncture stimulation.

Authors:  Jian Kong; Randy L Gollub; J Megan Webb; Jiang-Ti Kong; Mark G Vangel; Kenneth Kwong
Journal:  Neuroimage       Date:  2006-12-06       Impact factor: 6.556

6.  A method to produce evolving functional connectivity maps during the course of an fMRI experiment using wavelet-based time-varying Granger causality.

Authors:  João Ricardo Sato; Edson Amaro Junior; Daniel Yasumasa Takahashi; Marcelo de Maria Felix; Michael John Brammer; Pedro Alberto Morettin
Journal:  Neuroimage       Date:  2006-01-23       Impact factor: 6.556

7.  Kernel Granger causality mapping effective connectivity on FMRI data.

Authors:  Wei Liao; Daniele Marinazzo; Zhengyong Pan; Qiyong Gong; Huafu Chen
Journal:  IEEE Trans Med Imaging       Date:  2009-08-25       Impact factor: 10.048

8.  Identification and validation of effective connectivity networks in functional magnetic resonance imaging using switching linear dynamic systems.

Authors:  Jason F Smith; Ajay Pillai; Kewei Chen; Barry Horwitz
Journal:  Neuroimage       Date:  2009-12-05       Impact factor: 6.556

9.  Lexical influences on speech perception: a Granger causality analysis of MEG and EEG source estimates.

Authors:  David W Gow; Jennifer A Segawa; Seppo P Ahlfors; Fa-Hsuan Lin
Journal:  Neuroimage       Date:  2008-07-25       Impact factor: 6.556

10.  Dynamic Granger-Geweke causality modeling with application to interictal spike propagation.

Authors:  Fa-Hsuan Lin; Keiko Hara; Victor Solo; Mark Vangel; John W Belliveau; Steven M Stufflebeam; Matti S Hämäläinen
Journal:  Hum Brain Mapp       Date:  2009-06       Impact factor: 5.038

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  4 in total

1.  More discussions for granger causality and new causality measures.

Authors:  Sanqing Hu; Yu Cao; Jianhai Zhang; Wanzeng Kong; Kun Yang; Yanbin Zhang; Xun Li
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2.  Measuring Granger causality between cortical regions from voxelwise fMRI BOLD signals with LASSO.

Authors:  Wei Tang; Steven L Bressler; Chad M Sylvester; Gordon L Shulman; Maurizio Corbetta
Journal:  PLoS Comput Biol       Date:  2012-05-24       Impact factor: 4.475

3.  Effective Connectivity Analysis of the Brain Network in Drivers during Actual Driving Using Near-Infrared Spectroscopy.

Authors:  Zhian Liu; Ming Zhang; Gongcheng Xu; Congcong Huo; Qitao Tan; Zengyong Li; Quan Yuan
Journal:  Front Behav Neurosci       Date:  2017-10-31       Impact factor: 3.558

4.  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

  4 in total

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