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Published in: Brain Topography 3/2009

Open Access 01-11-2009 | Original Paper

Similarities Between Simulated Spatial Spectra of Scalp EEG, MEG and Structural MRI

Authors: Ceon Ramon, Walter J. Freeman, Mark Holmes, A. Ishimaru, Jens Haueisen, Paul H. Schimpf, Elham Rezvanian

Published in: Brain Topography | Issue 3/2009

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Abstract

Electrical dipoles oriented perpendicular to the cortical surface are the primary source of the scalp EEGs and MEGs. Thus, in particular, gyri and sulci structures on the cortical surface have a definite possibility to influence the EEGs and MEGs. This was examined by comparing the spatial power spectral density (PSD) of the upper portion of the human cortex in MRI slices to that of simulated scalp EEGs and MEGs. The electrical activity was modeled with 2,650 dipolar sources oriented normal to the local cortical surface. The resulting scalp potentials were calculated with a finite element model of the head constructed from 51 segmented sagittal MR images. The PSD was computed after taking the fast Fourier transform of scalp potentials. The PSD of the cortical contour in each slice was also computed. The PSD was then averaged over all the slices. This was done for sagittal and coronal view both. The PSD of EEG and MEG showed two broad peaks, one from 0.05 to 0.22 cycles/cm (wavelength 20–4.545 cm) and the other from 0.22 to 1.2 cycles/cm (wavelength 4.545–0.834 cm). The PSD of the cortex showed a broad peak from 0.08 to 0.32 cycles/cm (wavelength 12.5–3.125 cm) and other two peaks within the range of 0.32 to 0.9 cycles/cm (wavelength 3.125–1.11 cm). These peaks are definitely due to the gyri structures and associated larger patterns on the cortical surface. Smaller peaks in the range of 1–3 cycles/cm were also observed which are possibly due to sulci structures. These results suggest that the spatial information was present in the EEG and MEG at the spatial frequencies of gyri. This also implies that the practical Nyquist frequency for sampling scalp EEGs should be 3.0 cycles/cm and an optimal interelectrode spacing of about 3 mm is needed for extraction of cortical patterns from scalp EEGs in humans.
Literature
go back to reference Cooper R, Winter AL, Crow HJ, Walter WG (1965) Comparison of subcortical, cortical and scalp activity using chronically indwelling electrodes in man. Electroencephalogr Clin Neurophysiol 18:217–228PubMedCrossRef Cooper R, Winter AL, Crow HJ, Walter WG (1965) Comparison of subcortical, cortical and scalp activity using chronically indwelling electrodes in man. Electroencephalogr Clin Neurophysiol 18:217–228PubMedCrossRef
go back to reference Foster KR, Schwan HP (1989) Dielectric properties of tissues and biological material: a critical review. Crit Rev Biomed Eng 17:25–104PubMed Foster KR, Schwan HP (1989) Dielectric properties of tissues and biological material: a critical review. Crit Rev Biomed Eng 17:25–104PubMed
go back to reference Freeman WJ, Burke BC, Holmes MD, Vanhatalo S (2003) Spatial spectra of scalp EEG and EMG from awake humans. Clin Neurophysiol 114:1053–1068PubMedCrossRef Freeman WJ, Burke BC, Holmes MD, Vanhatalo S (2003) Spatial spectra of scalp EEG and EMG from awake humans. Clin Neurophysiol 114:1053–1068PubMedCrossRef
go back to reference Freeman WJ, Ahlfors SP, Menon V (2009) Combining fMRI with EEG and MEG in order to relate patterns of brain activity to cognition. Int J Psychophysiol 73:43–52PubMedCrossRef Freeman WJ, Ahlfors SP, Menon V (2009) Combining fMRI with EEG and MEG in order to relate patterns of brain activity to cognition. Int J Psychophysiol 73:43–52PubMedCrossRef
go back to reference Gabriel S, Lau RW, Gabriel C (1996) The dielectric properties of biological tissues: III. Parametric models for the dielectric spectrum of tissues. Phys Med Biol 41:2271–2293PubMedCrossRef Gabriel S, Lau RW, Gabriel C (1996) The dielectric properties of biological tissues: III. Parametric models for the dielectric spectrum of tissues. Phys Med Biol 41:2271–2293PubMedCrossRef
go back to reference Geddes LA, Baker LE (1967) The specific resistance of biological material—a compendium of data for the biomedical engineer and physiologist. Med Biol Eng 5:271–293PubMedCrossRef Geddes LA, Baker LE (1967) The specific resistance of biological material—a compendium of data for the biomedical engineer and physiologist. Med Biol Eng 5:271–293PubMedCrossRef
go back to reference Gyldensted C, Kosteljanetz M (1975) Measurements of the normal hemispheric sulci with computer tomography: a preliminary study on 44 adults. Neuroradiology 10:147–149PubMedCrossRef Gyldensted C, Kosteljanetz M (1975) Measurements of the normal hemispheric sulci with computer tomography: a preliminary study on 44 adults. Neuroradiology 10:147–149PubMedCrossRef
go back to reference Haueisen J, Tuch DS, Ramon C, Schimpf P, Wedeen VJ, George JS, Belliveau JW (2002) The influence of brain anisotropy on human EEG and MEG. Neuroimage 15:159–166PubMedCrossRef Haueisen J, Tuch DS, Ramon C, Schimpf P, Wedeen VJ, George JS, Belliveau JW (2002) The influence of brain anisotropy on human EEG and MEG. Neuroimage 15:159–166PubMedCrossRef
go back to reference Lai Y, van Drongelen W, Ding L, Hecox KE, Towle VL, Frim DM, He B (2005) Estimation of in vivo human brain to skull conductivity ratio from simultaneous extra and intracranial electrical potential recordings. Clin Neurophysiol 116:456–465PubMedCrossRef Lai Y, van Drongelen W, Ding L, Hecox KE, Towle VL, Frim DM, He B (2005) Estimation of in vivo human brain to skull conductivity ratio from simultaneous extra and intracranial electrical potential recordings. Clin Neurophysiol 116:456–465PubMedCrossRef
go back to reference Oostendorp TF, Delbeke J, Stegeman DF (2000) The conductivity of the human skull: results of in vivo and in vitro measurements. IEEE Trans Biomed Eng 47:1487–1492PubMedCrossRef Oostendorp TF, Delbeke J, Stegeman DF (2000) The conductivity of the human skull: results of in vivo and in vitro measurements. IEEE Trans Biomed Eng 47:1487–1492PubMedCrossRef
go back to reference Pfurtscheller G, Cooper R (1975) Frequency dependence of the transmission of the EEG from cortex to scalp. Electroencephalogr Clin Neurophysiol 38:93–96PubMedCrossRef Pfurtscheller G, Cooper R (1975) Frequency dependence of the transmission of the EEG from cortex to scalp. Electroencephalogr Clin Neurophysiol 38:93–96PubMedCrossRef
go back to reference Ramon C, Schimpf P, Haueisen J, Holmes M, Ishimaru A (2004) Role of soft bone, CSF and gray matter in EEG simulations. Brain Topogr 16:245–248PubMedCrossRef Ramon C, Schimpf P, Haueisen J, Holmes M, Ishimaru A (2004) Role of soft bone, CSF and gray matter in EEG simulations. Brain Topogr 16:245–248PubMedCrossRef
go back to reference Ramon C, Schimpf P, Haueisen J (2006a) Influence of head models on EEG simulations and inverse source localizations. Biomed Eng Online 5:10PubMedCrossRef Ramon C, Schimpf P, Haueisen J (2006a) Influence of head models on EEG simulations and inverse source localizations. Biomed Eng Online 5:10PubMedCrossRef
go back to reference Ramon C, Haueisen J, Schimpf PH (2006b) Influence of head models on neuromagnetic fields and inverse source localizations. Biomed Eng Online 5:55PubMedCrossRef Ramon C, Haueisen J, Schimpf PH (2006b) Influence of head models on neuromagnetic fields and inverse source localizations. Biomed Eng Online 5:55PubMedCrossRef
go back to reference Schimpf P, Haueisen J, Ramon C, Nowak H (1998) Realistic computer modeling of electric and magnetic fields of human head and torso. Parallel Comput 24:1433–1460CrossRef Schimpf P, Haueisen J, Ramon C, Nowak H (1998) Realistic computer modeling of electric and magnetic fields of human head and torso. Parallel Comput 24:1433–1460CrossRef
go back to reference Wolters CH, Anwander A, Tricoche X, Weinstein D, Koch MA, MacLeod RS (2006) Influence of tissue conductivity anisotropy on EEG/MEG field and return current computation in a realistic head model: a simulation and visualization study using high-resolution finite element modeling. Neuroimage 30:813–826PubMedCrossRef Wolters CH, Anwander A, Tricoche X, Weinstein D, Koch MA, MacLeod RS (2006) Influence of tissue conductivity anisotropy on EEG/MEG field and return current computation in a realistic head model: a simulation and visualization study using high-resolution finite element modeling. Neuroimage 30:813–826PubMedCrossRef
Metadata
Title
Similarities Between Simulated Spatial Spectra of Scalp EEG, MEG and Structural MRI
Authors
Ceon Ramon
Walter J. Freeman
Mark Holmes
A. Ishimaru
Jens Haueisen
Paul H. Schimpf
Elham Rezvanian
Publication date
01-11-2009
Publisher
Springer US
Published in
Brain Topography / Issue 3/2009
Print ISSN: 0896-0267
Electronic ISSN: 1573-6792
DOI
https://doi.org/10.1007/s10548-009-0104-7

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