Literature DB >> 9788081

Dynamic changes in effective connectivity characterized by variable parameter regression and Kalman filtering.

C Büchel1, K J Friston.   

Abstract

Attention to visual motion can increase the responsiveness of the motion-selective cortical area V5 and the posterior parietal cortex. We addressed attentional modulation of effective connectivity using variable parameter regression and functional magnetic resonance imaging. We present data from a single subject scanned under identical stimulus conditions (visual motion) while varying only the attentional component of the task. Variable parameter regression of the influence of V5 on PP revealed increased effective connectivity during attention to visual motion. With this dynamic measure of effective connectivity we were able to make inferences about the source of modulation by looking for regions that predicted the observed changes in connectivity. Using an ordinary regression analysis, we showed that activity in the prefrontal cortex could explain these changes and was sufficient to account for these modulatory influences on connections in the dorsal visual pathway.

Mesh:

Year:  1998        PMID: 9788081      PMCID: PMC6873378     

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


  3 in total

1.  Modulation of connectivity in visual pathways by attention: cortical interactions evaluated with structural equation modelling and fMRI.

Authors:  C Büchel; K J Friston
Journal:  Cereb Cortex       Date:  1997-12       Impact factor: 5.357

2.  Nonlinear regression in parametric activation studies.

Authors:  C Büchel; R J Wise; C J Mummery; J B Poline; K J Friston
Journal:  Neuroimage       Date:  1996-08       Impact factor: 6.556

3.  Psychophysiological and modulatory interactions in neuroimaging.

Authors:  K J Friston; C Buechel; G R Fink; J Morris; E Rolls; R J Dolan
Journal:  Neuroimage       Date:  1997-10       Impact factor: 6.556

  3 in total
  17 in total

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4.  Stochastic models of neuronal dynamics.

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

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Journal:  Hum Brain Mapp       Date:  2017-10-23       Impact factor: 5.038

9.  A method for evaluating dynamic functional network connectivity and task-modulation: application to schizophrenia.

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10.  Network discovery with DCM.

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