Literature DB >> 11508777

Evaluating causal relations in neural systems: granger causality, directed transfer function and statistical assessment of significance.

M Kamiński1, M Ding, W A Truccolo, S L Bressler.   

Abstract

We consider the question of evaluating causal relations among neurobiological signals. In particular, we study the relation between the directed transfer function (DTF) and the well-accepted Granger causality, and show that DTF can be interpreted within the framework of Granger causality. In addition, we propose a method to assess the significance of causality measures. Finally, we demonstrate the applications of these measures to simulated data and actual neurobiological recordings.

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Year:  2001        PMID: 11508777     DOI: 10.1007/s004220000235

Source DB:  PubMed          Journal:  Biol Cybern        ISSN: 0340-1200            Impact factor:   2.086


  258 in total

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2.  Causality analysis of neural connectivity: critical examination of existing methods and advances of new methods.

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3.  Beta oscillations in a large-scale sensorimotor cortical network: directional influences revealed by Granger causality.

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4.  Causal interactions in attention networks predict behavioral performance.

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5.  Representation and propagation of epileptic activity in absences and generalized photoparoxysmal responses.

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7.  Reorganization of Brain Networks in Aging and Age-related Diseases.

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Journal:  Aging Dis       Date:  2011-11-28       Impact factor: 6.745

8.  Effective connectivity of the multiplication network: a functional MRI and multivariate Granger Causality Mapping study.

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9.  A phase synchrony measure for quantifying dynamic functional integration in the brain.

Authors:  Selin Aviyente; Edward M Bernat; Westley S Evans; Scott R Sponheim
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10.  On directed information theory and Granger causality graphs.

Authors:  Pierre-Olivier Amblard; Olivier J J Michel
Journal:  J Comput Neurosci       Date:  2010-03-24       Impact factor: 1.621

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