Literature DB >> 8598178

Spatio-temporal correlations in human gamma band electrocorticograms.

V Menon1, W J Freeman, B A Cutillo, J E Desmond, M F Ward, S L Bressler, K D Laxer, N Barbaro, A S Gevins.   

Abstract

Animal electrocorticogram (ECoG) studies have shown that spatial patterns in the gamma band (>20 Hz) reflect perceptual categorization. Spatio-temporal correlations were investigated in the 20-50 Hz range in search for similar phenomena in human ECoG. ECoGs were recorded in a somatosensory discrimination task from 64-electrode subdural grid arrays, with inter-electrode spacing of 1 cm, overlying somatosensory, motor and superior temporal cortices in 2 patients with intractable epilepsy. Bootstrap techniques were devised to analyze the spatial and temporal characteristics of the correlations. Despite an extensive search, no evidence was found for globally correlated activity related to behavior either in narrow (1.e., 35-45 Hz) or broad (i.e., 20-50 Hz) bands. Spatial patterns, extracted using principal component analysis, could not be classified with respect to stimulus type in any time interval. Instead, spatially and temporally intermittent synchronization was observed between pairs of electrodes in 1 cm X 1 cm regions with high variability within and across trials. The distribution of correlation coefficients differed substantially from background levels at inter-electrode distances of 1 cm and 1.4 cm but not 2 cm or more. The minimum duration of correlation, the decorrelation time, of the ECoG was about 50 msec; the average correlation duration at 1 cm inter-electrode distance was about 150 msec; and the recurrence rate of significant correlation peaks was about 1.3/sec. The findings suggest that the surface diameters of domains of spatially correlated activity underlying perceptual categorization in human gamma band ECoG are limited to less than 2 cm and that the intermittent synchronization observed across separations of 1 cm and 1.4 cm is not solely due to volume conduction. Thus, if such gamma band spatial patterns exist in the human brain, no existing technology would be capable of measuring them at the scalp, and subdural electrode arrays for cortical surface recording would have to have spacings under 5 mm.

Entities:  

Mesh:

Year:  1996        PMID: 8598178     DOI: 10.1016/0013-4694(95)00206-5

Source DB:  PubMed          Journal:  Electroencephalogr Clin Neurophysiol        ISSN: 0013-4694


  32 in total

1.  Electroencephalographic imaging of higher brain function.

Authors:  A Gevins; M E Smith; L K McEvoy; H Leong; J Le
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  1999-07-29       Impact factor: 6.237

2.  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

3.  Early widespread cortical distribution of coherent fusiform face selective activity.

Authors:  J Klopp; K Marinkovic; P Chauvel; V Nenov; E Halgren
Journal:  Hum Brain Mapp       Date:  2000-12       Impact factor: 5.038

Review 4.  Neurophysiological and computational principles of cortical rhythms in cognition.

Authors:  Xiao-Jing Wang
Journal:  Physiol Rev       Date:  2010-07       Impact factor: 37.312

5.  Anatomical constraints on source models for high-resolution EEG and MEG derived from MRI.

Authors:  Ramesh Srinivasan
Journal:  Technol Cancer Res Treat       Date:  2006-08

6.  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

7.  Theta and Alpha Oscillations Are Traveling Waves in the Human Neocortex.

Authors:  Honghui Zhang; Andrew J Watrous; Ansh Patel; Joshua Jacobs
Journal:  Neuron       Date:  2018-06-07       Impact factor: 17.173

8.  An EEG-based real-time cortical functional connectivity imaging system.

Authors:  Han-Jeong Hwang; Kyung-Hwan Kim; Young-Jin Jung; Do-Won Kim; Yong-Ho Lee; Chang-Hwan Im
Journal:  Med Biol Eng Comput       Date:  2011-06-24       Impact factor: 2.602

9.  Stochastic neural field model: multiple firing events and correlations.

Authors:  Yao Li; Hui Xu
Journal:  J Math Biol       Date:  2019-07-10       Impact factor: 2.259

10.  Testing for significance of phase synchronisation dynamics in the EEG.

Authors:  Ian Daly; Catherine M Sweeney-Reed; Slawomir J Nasuto
Journal:  J Comput Neurosci       Date:  2012-10-27       Impact factor: 1.621

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.