Literature DB >> 1912013

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

M J Kamiński1, K J Blinowska.   

Abstract

The paper describes the method of determining direction and frequency content of the brain activity flow. The method was formulated in the framework of the AR model. The transfer function matrix was found for multichannel EEG process. Elements of this matrix, properly normalized, appeared to be good estimators of the propagation direction and spectral properties of the investigated signals. Simulation experiments have shown that the estimator proposed by us unequivocally reveals the direction of the signal flow and is able to distinguish between direct and indirect transfer of information. The method was applied to the signals recorded in the brain structures of the experimental animals and also to the human normal and epileptic EEG. The sensitivity of the method and its usefulness in the neurological and clinical applications was demonstrated.

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Year:  1991        PMID: 1912013     DOI: 10.1007/bf00198091

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


  6 in total

1.  Cortico-cortical associations and EEG coherence: a two-compartmental model.

Authors:  R W Thatcher; P J Krause; M Hrybyk
Journal:  Electroencephalogr Clin Neurophysiol       Date:  1986-08

2.  EEG alpha map series: brain micro-states by space-oriented adaptive segmentation.

Authors:  D Lehmann; H Ozaki; I Pal
Journal:  Electroencephalogr Clin Neurophysiol       Date:  1987-09

3.  A new method of presentation of the average spectral properties of the EEG time series.

Authors:  K J Blinowska; P J Franaszczuk; P Mitraszewski
Journal:  Int J Biomed Comput       Date:  1988-03

4.  The application of parametric multichannel spectral estimates in the study of electrical brain activity.

Authors:  P J Franaszczuk; K J Blinowska; M Kowalczyk
Journal:  Biol Cybern       Date:  1985       Impact factor: 2.086

5.  EEG data reduction by means of autoregressive representation and discriminant analysis procedures.

Authors:  K J Blinowska; L T Czerwosz; W Drabik; P J Franaszczuk; H Ekiert
Journal:  Electroencephalogr Clin Neurophysiol       Date:  1981-06

6.  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 in total
  205 in total

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Journal:  Hum Brain Mapp       Date:  2003-04       Impact factor: 5.038

2.  Anticipatory cortico-cortical interactions: switching the task configuration between effectors.

Authors:  Deborah J Serrien; Alek H Pogosyan; Michael J Cassidy; Peter Brown
Journal:  Exp Brain Res       Date:  2003-11-15       Impact factor: 1.972

3.  Detecting effective connectivity in networks of coupled neuronal oscillators.

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

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Journal:  Hum Brain Mapp       Date:  2011-01       Impact factor: 5.038

5.  Ictal source analysis: localization and imaging of causal interactions in humans.

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Journal:  Neuroimage       Date:  2006-11-16       Impact factor: 6.556

6.  Determination of transmission patterns in multichannel data.

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

7.  Network dynamics of the epileptic brain at rest.

Authors:  Catherine Stamoulis; Lawrence J Gruber; Bernard S Chang
Journal:  Annu Int Conf IEEE Eng Med Biol Soc       Date:  2010

8.  Directional functional coupling of cerebral rhythms between anterior cingulate and dorsolateral prefrontal areas during rare stimuli: a directed transfer function analysis of human depth EEG signal.

Authors:  Milan Brázdil; Claudio Babiloni; Robert Roman; Pavel Daniel; Martin Bares; Ivan Rektor; Fabrizio Eusebi; Paolo Maria Rossini; Fabrizio Vecchio
Journal:  Hum Brain Mapp       Date:  2009-01       Impact factor: 5.038

9.  Estimation of time-varying connectivity patterns through the use of an adaptive directed transfer function.

Authors:  Christopher Wilke; Lei Ding; Bin He
Journal:  IEEE Trans Biomed Eng       Date:  2008-11       Impact factor: 4.538

10.  Analysis of epileptogenic network properties during ictal activity.

Authors:  Christopher Wilke; Gregory A Worrell; Bin He
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2009
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