Literature DB >> 34100992

Partial directed coherence: twenty years on some history and an appraisal.

Luiz A Baccalá1, Koichi Sameshima2.   

Abstract

Here while we reminisce about how partial directed coherence was proposed, its motivation and evolution, we take the opportunity to relate it to some of its kin quantities and some of its offspring. Emphasis is placed on our development of asymptotic criteria to place it as a reliable investigation tool, where the connectivity detection problem is completely solved as opposed to what we call the characterization problem. We end by musing over some points now on our wishlist.

Keywords:  Connectivity; Granger causality; Partial directed coherence

Year:  2021        PMID: 34100992     DOI: 10.1007/s00422-021-00880-y

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


  7 in total

1.  Partial directed coherence: a new concept in neural structure determination.

Authors:  L A Baccalá; K Sameshima
Journal:  Biol Cybern       Date:  2001-06       Impact factor: 2.086

2.  A new method of the description of the information flow in the brain structures.

Authors:  M J Kamiński; K J Blinowska
Journal:  Biol Cybern       Date:  1991       Impact factor: 2.086

3.  Backward renormalization-group inference of cortical dipole sources and neural connectivity efficacy.

Authors:  Selene da Rocha Amaral; Luiz A Baccalá; Leonardo S Barbosa; Nestor Caticha
Journal:  Phys Rev E       Date:  2017-06-23       Impact factor: 2.529

4.  Effective connectivity: influence, causality and biophysical modeling.

Authors:  Pedro A Valdes-Sosa; Alard Roebroeck; Jean Daunizeau; Karl Friston
Journal:  Neuroimage       Date:  2011-04-06       Impact factor: 6.556

5.  Detection of feedback in the central nervous system using system identification techniques.

Authors:  S M Schnider; R H Kwong; F A Lenz; H C Kwan
Journal:  Biol Cybern       Date:  1989       Impact factor: 2.086

6.  The physiological plausibility of time-varying Granger-causal modeling: normalization and weighting by spectral power.

Authors:  Gijs Plomp; Charles Quairiaux; Christoph M Michel; Laura Astolfi
Journal:  Neuroimage       Date:  2014-04-13       Impact factor: 6.556

7.  Local dimension-reduced dynamical spatio-temporal models for resting state network estimation.

Authors:  Gilson Vieira; Edson Amaro; Luiz A Baccalá
Journal:  Brain Inform       Date:  2015-02-03
  7 in total
  1 in total

1.  Mathematization of nature: how it is done.

Authors:  J Leo van Hemmen
Journal:  Biol Cybern       Date:  2021-12       Impact factor: 2.086

  1 in total

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