Literature DB >> 16455407

Investigating directed influences between activated brain areas in a motor-response task using fMRI.

Birgit Abler1, Alard Roebroeck, Rainer Goebel, Anett Höse, Carlos Schönfeldt-Lecuona, Günter Hole, Henrik Walter.   

Abstract

Localization of cognitive processes is a strength of functional neuroimaging. However, information about functional interactions between brain areas is crucial for a deeper understanding of brain function. We applied vector autoregressive modeling in the context of Granger causality as a method to analyze directed connectivity in a standard event-related fMRI study using a simple auditory-motor paradigm. The basic idea is to use temporal information in stochastic time series of a brain region in order to predict signal time courses in other brain regions. Thus, we predicted that the method should demonstrate causal influence of the auditory cortex and the supplementary motor area (SMA) on primary motor cortex. Eleven right-handed healthy female subjects were instructed to press a ball with either their left or their right hand when hearing the command "left" or "right" in the scanner. Influence to the left motor cortex was found from bilateral auditory cortex as well as from the SMA in 9 of 11 subjects. Granger causality to the right motor cortex existed from bilateral auditory cortex in 5 and from SMA in 6 subjects. Granger causality to the SMA existed from right auditory cortex in 7 subjects and from left auditory cortex in 8 subjects. Our findings in a simple task show that even under suboptimal circumstances (a relatively long TR of 2440 ms), Granger causality can be a useful tool to explore effective connectivity. Temporally optimized scanning should increase that potential.

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Year:  2005        PMID: 16455407     DOI: 10.1016/j.mri.2005.10.022

Source DB:  PubMed          Journal:  Magn Reson Imaging        ISSN: 0730-725X            Impact factor:   2.546


  55 in total

1.  Frequency domain connectivity identification: an application of partial directed coherence in fMRI.

Authors:  João R Sato; Daniel Y Takahashi; Silvia M Arcuri; Koichi Sameshima; Pedro A Morettin; Luiz A Baccalá
Journal:  Hum Brain Mapp       Date:  2009-02       Impact factor: 5.038

2.  Functional connectivity estimation in fMRI data: influence of preprocessing and time course selection.

Authors:  Maria Gavrilescu; Geoffrey W Stuart; Susan Rossell; Katherine Henshall; Colette McKay; Alex A Sergejew; David Copolov; Gary F Egan
Journal:  Hum Brain Mapp       Date:  2008-09       Impact factor: 5.038

3.  Effective connectivity during haptic perception: a study using Granger causality analysis of functional magnetic resonance imaging data.

Authors:  Gopikrishna Deshpande; Xiaoping Hu; Randall Stilla; K Sathian
Journal:  Neuroimage       Date:  2008-02-09       Impact factor: 6.556

4.  Spatio-temporal dynamics of neural mechanisms underlying component operations in working memory.

Authors:  Brian T Miller; Leon Y Deouell; Cathrine Dam; Robert T Knight; Mark D'Esposito
Journal:  Brain Res       Date:  2008-02-02       Impact factor: 3.252

Review 5.  Assessing functional connectivity in the human brain by fMRI.

Authors:  Baxter P Rogers; Victoria L Morgan; Allen T Newton; John C Gore
Journal:  Magn Reson Imaging       Date:  2007-05-11       Impact factor: 2.546

6.  A critical role for the right fronto-insular cortex in switching between central-executive and default-mode networks.

Authors:  Devarajan Sridharan; Daniel J Levitin; Vinod Menon
Journal:  Proc Natl Acad Sci U S A       Date:  2008-08-22       Impact factor: 11.205

7.  The equivalence of linear Gaussian connectivity techniques.

Authors:  Catherine E Davey; David B Grayden; Maria Gavrilescu; Gary F Egan; Leigh A Johnston
Journal:  Hum Brain Mapp       Date:  2012-05-19       Impact factor: 5.038

8.  Effect of hemodynamic variability on Granger causality analysis of fMRI.

Authors:  Gopikrishna Deshpande; K Sathian; Xiaoping Hu
Journal:  Neuroimage       Date:  2009-12-11       Impact factor: 6.556

9.  Dissociating the contributions of independent corticostriatal systems to visual categorization learning through the use of reinforcement learning modeling and Granger causality modeling.

Authors:  Carol A Seger; Erik J Peterson; Corinna M Cincotta; Dan Lopez-Paniagua; Charles W Anderson
Journal:  Neuroimage       Date:  2009-12-05       Impact factor: 6.556

10.  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

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