Literature DB >> 20697790

Comparative power spectral analysis of simultaneous elecroencephalographic and magnetoencephalographic recordings in humans suggests non-resistive extracellular media.

Nima Dehghani1, Claude Bédard, Sydney S Cash, Eric Halgren, Alain Destexhe.   

Abstract

The resistive or non-resistive nature of the extracellular space in the brain is still debated, and is an important issue for correctly modeling extracellular potentials. Here, we first show theoretically that if the medium is resistive, the frequency scaling should be the same for electroencephalogram (EEG) and magnetoencephalogram (MEG) signals at low frequencies (<10 Hz). To test this prediction, we analyzed the spectrum of simultaneous EEG and MEG measurements in four human subjects. The frequency scaling of EEG displays coherent variations across the brain, in general between 1/f and 1/f(2), and tends to be smaller in parietal/temporal regions. In a given region, although the variability of the frequency scaling exponent was higher for MEG compared to EEG, both signals consistently scale with a different exponent. In some cases, the scaling was similar, but only when the signal-to-noise ratio of the MEG was low. Several methods of noise correction for environmental and instrumental noise were tested, and they all increased the difference between EEG and MEG scaling. In conclusion, there is a significant difference in frequency scaling between EEG and MEG, which can be explained if the extracellular medium (including other layers such as dura matter and skull) is globally non-resistive.

Entities:  

Mesh:

Year:  2010        PMID: 20697790      PMCID: PMC2978899          DOI: 10.1007/s10827-010-0263-2

Source DB:  PubMed          Journal:  J Comput Neurosci        ISSN: 0929-5313            Impact factor:   1.621


  21 in total

1.  Modeling extracellular field potentials and the frequency-filtering properties of extracellular space.

Authors:  Claude Bédard; Helmut Kröger; Alain Destexhe
Journal:  Biophys J       Date:  2004-03       Impact factor: 4.033

2.  Influence of filters in the detrended fluctuation analysis of digital electroencephalographic data.

Authors:  Miguel Valencia; Julio Artieda; Manuel Alegre; Diego Maza
Journal:  J Neurosci Methods       Date:  2008-01-20       Impact factor: 2.390

3.  Feedback modulates the temporal scale-free dynamics of brain electrical activity in a hypothesis testing task.

Authors:  M Buiatti; D Papo; P-M Baudonnière; C van Vreeswijk
Journal:  Neuroscience       Date:  2007-04-05       Impact factor: 3.590

4.  Macroscopic models of local field potentials and the apparent 1/f noise in brain activity.

Authors:  Claude Bédard; Alain Destexhe
Journal:  Biophys J       Date:  2009-04-08       Impact factor: 4.033

5.  The brain in fractal time: 1/f-like power spectrum scaling of the human electroencephalogram.

Authors:  W S Pritchard
Journal:  Int J Neurosci       Date:  1992-09       Impact factor: 2.292

6.  The dielectric properties of biological tissues: III. Parametric models for the dielectric spectrum of tissues.

Authors:  S Gabriel; R W Lau; C Gabriel
Journal:  Phys Med Biol       Date:  1996-11       Impact factor: 3.609

7.  The dielectric properties of biological tissues: II. Measurements in the frequency range 10 Hz to 20 GHz.

Authors:  S Gabriel; R W Lau; C Gabriel
Journal:  Phys Med Biol       Date:  1996-11       Impact factor: 3.609

8.  An information-maximization approach to blind separation and blind deconvolution.

Authors:  A J Bell; T J Sejnowski
Journal:  Neural Comput       Date:  1995-11       Impact factor: 2.026

9.  Scalp electrode impedance, infection risk, and EEG data quality.

Authors:  T C Ferree; P Luu; G S Russell; D M Tucker
Journal:  Clin Neurophysiol       Date:  2001-03       Impact factor: 3.708

10.  Cancellation of EEG and MEG signals generated by extended and distributed sources.

Authors:  Seppo P Ahlfors; Jooman Han; Fa-Hsuan Lin; Thomas Witzel; John W Belliveau; Matti S Hämäläinen; Eric Halgren
Journal:  Hum Brain Mapp       Date:  2010-01       Impact factor: 5.038

View more
  28 in total

1.  Intracellular Impedance Measurements Reveal Non-ohmic Properties of the Extracellular Medium around Neurons.

Authors:  Jean-Marie Gomes; Claude Bédard; Silvana Valtcheva; Matthew Nelson; Vitalia Khokhlova; Pierre Pouget; Laurent Venance; Thierry Bal; Alain Destexhe
Journal:  Biophys J       Date:  2016-01-05       Impact factor: 4.033

Review 2.  The origin of extracellular fields and currents--EEG, ECoG, LFP and spikes.

Authors:  György Buzsáki; Costas A Anastassiou; Christof Koch
Journal:  Nat Rev Neurosci       Date:  2012-05-18       Impact factor: 34.870

Review 3.  Modelling and analysis of local field potentials for studying the function of cortical circuits.

Authors:  Gaute T Einevoll; Christoph Kayser; Nikos K Logothetis; Stefano Panzeri
Journal:  Nat Rev Neurosci       Date:  2013-11       Impact factor: 34.870

4.  Differences in MEG and EEG power-law scaling explained by a coupling between spatial coherence and frequency: a simulation study.

Authors:  C G Bénar; C Grova; V K Jirsa; J M Lina
Journal:  J Comput Neurosci       Date:  2019-07-11       Impact factor: 1.621

5.  Changes in EEG multiscale entropy and power-law frequency scaling during the human sleep cycle.

Authors:  Vladimir Miskovic; Kevin J MacDonald; L Jack Rhodes; Kimberly A Cote
Journal:  Hum Brain Mapp       Date:  2018-09-26       Impact factor: 5.038

6.  Beyond Trial-Based Paradigms: Continuous Behavior, Ongoing Neural Activity, and Natural Stimuli.

Authors:  Alexander Huk; Kathryn Bonnen; Biyu J He
Journal:  J Neurosci       Date:  2018-07-23       Impact factor: 6.167

7.  Multiplex core-periphery organization of the human connectome.

Authors:  Federico Battiston; Jeremy Guillon; Mario Chavez; Vito Latora; Fabrizio De Vico Fallani
Journal:  J R Soc Interface       Date:  2018-09-12       Impact factor: 4.118

8.  A unifying principle underlying the extracellular field potential spectral responses in the human cortex.

Authors:  Ella Podvalny; Niv Noy; Michal Harel; Stephan Bickel; Gal Chechik; Charles E Schroeder; Ashesh D Mehta; Misha Tsodyks; Rafael Malach
Journal:  J Neurophysiol       Date:  2015-04-08       Impact factor: 2.714

9.  Is the Extracellular Impedance High and Non-resistive in Cerebral Cortex?

Authors:  Claude Bédard; Alain Destexhe
Journal:  Biophys J       Date:  2017-10-03       Impact factor: 4.033

10.  Distinguishing cognitive effort and working memory load using scale-invariance and alpha suppression in EEG.

Authors:  Omid Kardan; Kirsten C S Adam; Irida Mance; Nathan W Churchill; Edward K Vogel; Marc G Berman
Journal:  Neuroimage       Date:  2020-02-14       Impact factor: 6.556

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.