Literature DB >> 8524805

Temporal fluctuations in coherence of brain waves.

T H Bullock1, M C McClune, J Z Achimowicz, V J Iragui-Madoz, R B Duckrow, S S Spencer.   

Abstract

As a measure of dynamical structure, short-term fluctuations of coherence between 0.3 and 100 Hz in the electroencephalogram (EEG) of humans were studied from recordings made by chronic subdural macroelectrodes 5-10 mm apart, on temporal, frontal, and parietal lobes, and from intracranial probes deep in the temporal lobe, including the hippocampus, during sleep, alert, and seizure states. The time series of coherence between adjacent sites calculated every second or less often varies widely in stability over time; sometimes it is stable for half a minute or more. Within 2-min samples, coherence commonly fluctuates by a factor up to 2-3, in all bands, within the time scale of seconds to tens of seconds. The power spectrum of the time series of these fluctuations is broad, extending to 0.02 Hz or slower, and is weighted toward the slower frequencies; little power is faster than 0.5 Hz. Some records show conspicuous swings with a preferred duration of 5-15s, either irregularly or quasirhythmically with a broad peak around 0.1 Hz. Periodicity is not statistically significant in most records. In our sampling, we have not found a consistent difference between lobes of the brain, subdural and depth electrodes, or sleeping and waking states. Seizures generally raise the mean coherence in all frequencies and may reduce the fluctuations by a ceiling effect. The coherence time series of different bands is positively correlated (0.45 overall); significant nonindependence extends for at least two octaves. Coherence fluctuations are quite local; the time series of adjacent electrodes is correlated with that of the nearest neighbor pairs (10 mm) to a coefficient averaging approximately 0.4, falling to approximately 0.2 for neighbors-but-one (20 mm) and to < 0.1 for neighbors-but-two (30 mm). The evidence indicates fine structure in time and space, a dynamic and local determination of this measure of cooperativity. Widely separated frequencies tending to fluctuate together exclude independent oscillators as the general or usual basis of the EEG, although a few rhythms are well known under special conditions. Broad-band events may be the more usual generators. Loci only a few millimeters apart can fluctuate widely in seconds, either in parallel or independently. Scalp EEG coherence cannot be predicted from subdural or deep recordings, or vice versa, and intracortical microelectrodes show still greater coherence fluctuation in space and time. Widely used computations of chaos and dimensionality made upon data from scalp or even subdural or depth electrodes, even when reproducible in successive samples, cannot be considered representative of the brain or the given structure or brain state but only of the scale or view (receptive field) of the electrodes used. Relevant to the evolution of more complex brains, which is an outstanding fact of animal evolution, we believe that measures of cooperativity are likely to be among the dynamic features by which major evolutionary grades of brains differ.

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Year:  1995        PMID: 8524805      PMCID: PMC40443          DOI: 10.1073/pnas.92.25.11568

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  19 in total

1.  Interdependence of EEG signals: linear vs. nonlinear associations and the significance of time delays and phase shifts.

Authors:  F Lopes da Silva; J P Pijn; P Boeijinga
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2.  Periodicity analysis of sleep EEG in the second and minute ranges--example of application in different alpha activities in sleep.

Authors:  W Scheuler; P Rappelsberger; F Schmatz; C Pastelak-Price; H Petsche; S Kubicki
Journal:  Electroencephalogr Clin Neurophysiol       Date:  1990-09

3.  A permutation test for periodicities in short, noisy time series.

Authors:  R H Odell; S W Smith; F E Yates
Journal:  Ann Biomed Eng       Date:  1975-06       Impact factor: 3.934

4.  Visual motion induces synchronous oscillations in turtle visual cortex.

Authors:  J C Prechtl
Journal:  Proc Natl Acad Sci U S A       Date:  1994-12-20       Impact factor: 11.205

5.  Gamma (40-100 Hz) oscillation in the hippocampus of the behaving rat.

Authors:  A Bragin; G Jandó; Z Nádasdy; J Hetke; K Wise; G Buzsáki
Journal:  J Neurosci       Date:  1995-01       Impact factor: 6.167

6.  Event-related potential maps depend on prestimulus brain electric microstate map.

Authors:  D Lehmann; C M Michel; I Pal; R D Pascual-Marqui
Journal:  Int J Neurosci       Date:  1994 Jan-Feb       Impact factor: 2.292

Review 7.  On the search for the sources of the electroencephalogram.

Authors:  H Petsche; H Pockberger; P Rappelsberger
Journal:  Neuroscience       Date:  1984-01       Impact factor: 3.590

Review 8.  The genesis of the EEG.

Authors:  R Elul
Journal:  Int Rev Neurobiol       Date:  1971-07       Impact factor: 3.230

9.  EEG coherence has structure in the millimeter domain: subdural and hippocampal recordings from epileptic patients.

Authors:  T H Bullock; M C McClune; J Z Achimowicz; V J Iragui-Madoz; R B Duckrow; S S Spencer
Journal:  Electroencephalogr Clin Neurophysiol       Date:  1995-09

10.  Regional coherence and the transfer of ictal activity during seizure onset in the medial temporal lobe.

Authors:  R B Duckrow; S S Spencer
Journal:  Electroencephalogr Clin Neurophysiol       Date:  1992-06
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  32 in total

Review 1.  Spatial-temporal structures of human alpha rhythms: theory, microcurrent sources, multiscale measurements, and global binding of local networks.

Authors:  P L Nunez; B M Wingeier; R B Silberstein
Journal:  Hum Brain Mapp       Date:  2001-07       Impact factor: 5.038

2.  Temporal dynamics of spontaneous MEG activity in brain networks.

Authors:  Francesco de Pasquale; Stefania Della Penna; Abraham Z Snyder; Christopher Lewis; Dante Mantini; Laura Marzetti; Paolo Belardinelli; Luca Ciancetta; Vittorio Pizzella; Gian Luca Romani; Maurizio Corbetta
Journal:  Proc Natl Acad Sci U S A       Date:  2010-03-16       Impact factor: 11.205

3.  EEG and MEG coherence: measures of functional connectivity at distinct spatial scales of neocortical dynamics.

Authors:  Ramesh Srinivasan; William R Winter; Jian Ding; Paul L Nunez
Journal:  J Neurosci Methods       Date:  2007-07-06       Impact factor: 2.390

4.  Dynamics of event-related causality in brain electrical activity.

Authors:  Anna Korzeniewska; Ciprian M Crainiceanu; Rafał Kuś; Piotr J Franaszczuk; Nathan E Crone
Journal:  Hum Brain Mapp       Date:  2008-10       Impact factor: 5.038

5.  The temporal structures and functional significance of scale-free brain activity.

Authors:  Biyu J He; John M Zempel; Abraham Z Snyder; Marcus E Raichle
Journal:  Neuron       Date:  2010-05-13       Impact factor: 17.173

Review 6.  From data patterns to mechanistic models in acute critical illness.

Authors:  Jean-Marie Aerts; Wassim M Haddad; Gary An; Yoram Vodovotz
Journal:  J Crit Care       Date:  2014-03-29       Impact factor: 3.425

7.  Blind separation of auditory event-related brain responses into independent components.

Authors:  S Makeig; T P Jung; A J Bell; D Ghahremani; T J Sejnowski
Journal:  Proc Natl Acad Sci U S A       Date:  1997-09-30       Impact factor: 11.205

Review 8.  Signals and signs in the nervous system: the dynamic anatomy of electrical activity is probably information-rich.

Authors:  T H Bullock
Journal:  Proc Natl Acad Sci U S A       Date:  1997-01-07       Impact factor: 11.205

9.  Virtual Cortical Resection Reveals Push-Pull Network Control Preceding Seizure Evolution.

Authors:  Ankit N Khambhati; Kathryn A Davis; Timothy H Lucas; Brian Litt; Danielle S Bassett
Journal:  Neuron       Date:  2016-08-25       Impact factor: 17.173

10.  Scale-free dynamics of global functional connectivity in the human brain.

Authors:  Cornelis Jan Stam; Eveline Astrid de Bruin
Journal:  Hum Brain Mapp       Date:  2004-06       Impact factor: 5.038

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