Literature DB >> 20408209

Transient phase-locking and dynamic correlations: Are they the same thing?

K J Friston1, K M Stephan, R S Frackowiak.   

Abstract

This work represents an attempt to bring together two important themes in neuronal dynamics. The first is the characterization of dynamic correlations in multiunit recordings of spike activity using joint-peri-stimulus time histograms (J-PSTHs) [Aertsen and Preissl, 1991: Non Linear Dynamics and Neural Networks]. The second is transient phase-locking at high (gamma) frequencies, either in terms of spiking in separable spike trains [e.g., Eckhorn et al., 1988: Biol Cybern 60:121-130, Gray and Singer, 1989 Proc Natl Acad Sci USA 86:1698-1702], or using continuous electrical or biomagnetic signals [e.g., Desmedt and Tomberg, 1994 Neurosci Lett 168:126-129]. In this paper we suggest that transient phase-locking is necessary for frequency-specific, dynamic event-related correlations. This point is demonstrated using the gamma-frequency (36 Hz) component of neuromagnetic signals measured in the prefrontal and partial regions of a subject during self-paced movements. A J-PSTH analysis revealed dynamic changes in prefronto-parietal correlations in relation to movement onset. These frequency-specific dynamic correlations were associated with changes in the degree of phase-locking, of the sort reported by Desmedt and Tomberg [1994 Neurosci Lett 168:126-129]. Hum. Brain Mapping 5:48-57, 1997. (c) 1997 Wiley-Liss, Inc.

Year:  1997        PMID: 20408209     DOI: 10.1002/(SICI)1097-0193(1997)5:1<48::AID-HBM5>3.0.CO;2-N

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


  6 in total

1.  Measuring phase synchrony in brain signals.

Authors:  J P Lachaux; E Rodriguez; J Martinerie; F J Varela
Journal:  Hum Brain Mapp       Date:  1999       Impact factor: 5.038

2.  A novel approach to the detection of synchronisation in EEG based on empirical mode decomposition.

Authors:  C M Sweeney-Reed; S J Nasuto
Journal:  J Comput Neurosci       Date:  2007-02-02       Impact factor: 1.621

3.  Analysis of stimulus-related activity in rat auditory cortex using complex spectral coefficients.

Authors:  Bryan M Krause; Matthew I Banks
Journal:  J Neurophysiol       Date:  2013-05-08       Impact factor: 2.714

4.  Spatio-temporal patterns of cognitive control revealed with simultaneous electroencephalography and functional magnetic resonance imaging.

Authors:  Thomas Hinault; Kevin Larcher; Natalja Zazubovits; Jean Gotman; Alain Dagher
Journal:  Hum Brain Mapp       Date:  2018-09-26       Impact factor: 5.038

5.  DCM for complex-valued data: cross-spectra, coherence and phase-delays.

Authors:  K J Friston; A Bastos; V Litvak; K E Stephan; P Fries; R J Moran
Journal:  Neuroimage       Date:  2011-07-28       Impact factor: 6.556

6.  Long-Lasting Cortical Reorganization as the Result of Motor Imagery of Throwing a Ball in a Virtual Tennis Court.

Authors:  Ana M Cebolla; Mathieu Petieau; Carlos Cevallos; Axelle Leroy; Bernard Dan; Guy Cheron
Journal:  Front Psychol       Date:  2015-12-01
  6 in total

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