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Recording of focal direct current (DC) changes in the human cerebral cortex using refined non-invasive DC-EEG methodology

  • Stefanie Leistner , Hans-Juergen Scheer , Tilmann Sander , Martin Burghoff , Lutz Trahms , Gabriel Curio and Bruno-Marcel Mackert
Published/Copyright: February 22, 2007
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Biomedical Engineering / Biomedizinische Technik
From the journal Volume 52 Issue 1

Abstract

A non-invasive DC electroencephalographic (DC-EEG) method was developed to record and analyze focal low-frequency (<0.1 Hz) DC changes in the human cerebral cortex. A simple repetitive finger-movement task was used as a physiological activation paradigm. DC-EEG amplitudes were recorded using a custom-made DC amplifier with automatic offset correction. A total of 16 standard Ag/AgCl electrodes covered the left primary motor cortex. In three of six subjects, reliable focal motor-related DC-EEG shifts over the hand cortex were monitored. This study demonstrates that refined DC-EEG recording and data analysis procedures allow non-invasive recording of low-frequency and low-amplitude focal cortical changes in humans. An important clinical perspective of this technology is the detection of stroke-associated cortical DC activity.


Corresponding author: Stefanie Leistner, Dept. of Neurology, Campus Benjamin Franklin, Charité– University Medicine Berlin, Hindenburgdamm 30, 12203 Berlin, Germany Phone: +49-30-8445-2276 Fax: +49-30-8445-4264

References

[1] Back T, Kohno K, Hossmann KA. Cortical negative DC deflections following middle cerebral artery occlusion and KCl-induced spreading depression: effect on blood flow, tissue oxygenation and electroencephalogram. J Cereb Blood Flow Metab1994; 14: 12–19.10.1038/jcbfm.1994.3Search in Google Scholar

[2] Barkley GL, Moran JE, Takanashi Y, Tepley N. Techniques for DC magnetoencephalography. J Clin Neurophysiol1991; 8: 189–199.10.1097/00004691-199104000-00006Search in Google Scholar

[3] Burghoff M, Sander TH, Schnabel A, Drung D, Curio G, Trahms L, Mackert BM. DC magnetoencephalography: direct measurement in a magnetically extremely well shielded room. Appl Phys Lett2004; 85: 6278–6280.10.1063/1.1836869Search in Google Scholar

[4] Elbert T, Rockstroh B, Lutzenberger W, Birbaumer N. The influence of low-level, event-related DC currents during time estimation in humans. Int J Neurosci1981; 15: 103–106.10.3109/00207458108985850Search in Google Scholar

[5] Gardner-Medwin AR, Tepley N, Barkley GL, et al. Magnetic fields associated with spreading depression in anaesthetized rabbits. Brain Res1991; 540: 153–158.10.1016/0006-8993(91)90502-MSearch in Google Scholar

[6] Kasischke KA, Vishwasrao HD, Fisher PJ, Zipfel WR, Webb WW. Neural activity triggers neuronal oxidative metabolism followed by astrocytic glycolysis. Science2004; 305: 99–103.10.1126/science.1096485Search in Google Scholar

[7] Lagerlund TD, Gross RA. DC-EEG recording. A paradigm shift in seizure localization. Neurology2003; 60: 1062–1063.10.1212/WNL.60.7.1062Search in Google Scholar

[8] Lauritzen M. Cortical spreading depression in migraine. Cephalalgia2001; 21: 757–760.10.1046/j.1468-2982.2001.00244.xSearch in Google Scholar

[9] Lauritzen M. Pathophysiology of the migraine aura. The spreading depression theory. Brain1994; 117: 199–210.10.1093/brain/117.1.199Search in Google Scholar

[10] Leao AAP. The slow voltage variation of cortical spreading depression of activity. Electroecephalogr Clin Neurophysiol1951; 3: 315–321.10.1016/0013-4694(51)90079-XSearch in Google Scholar

[11] Mackert BM, Wubbeler G, Leistner S, Trahms L, Curio G. Non-invasive single-trial monitoring of human movement-related brain activation based on DC-magnetoencephalography. Neuroreport2001; 12: 1689–1692.10.1097/00001756-200106130-00034Search in Google Scholar PubMed

[12] Mackert BM. The discovery of slowness – recent progress in DC-MEG research. Neurol Clin Neurophysiol2004; 30: 41–47.Search in Google Scholar

[13] Müller W, Grunwald P, Riedel W, Burghoff M. Mehrkanal – Aufnahmesystem für Biosignale mit bis zu 512 analogen Eingängen. Biomed Tech2003; 48: 40–41.10.1515/bmte.2003.48.s1.40Search in Google Scholar

[14] Niemann J, Winker T, Gerling J, Landwehrmeyer B, Jung R. Changes of slow cortical negative DC-potentials during the acquisition of a complex finger motor task. Exp Brain Res1991; 85: 417–422.10.1007/BF00229418Search in Google Scholar PubMed

[15] Scheer HJ, Sander T, Burghoff M. A high resolution preamplifier for DC-EEG. Biomed Tech2005; 50(Suppl 1): 165–166.Search in Google Scholar

[16] Scheer HJ, Sander T, Trahms L. The influence of amplifier, interface and biological noise in high resolution EEG recordings. Physiol Meas2006; 27: 109–117.10.1088/0967-3334/27/2/002Search in Google Scholar PubMed

[17] Strong AJ, Fabricius M, Boutelle MG, et al. Spreading and synchronous depressions of cortical activity in acutely injured human brain. Stroke2002; 33: 2738–2743.10.1161/01.STR.0000043073.69602.09Search in Google Scholar

[18] Okada Y, Lauritzen M, Nicholson C. MEG source models and physiology. Phys Med Biol1987; 32: 43–51.10.1088/0031-9155/32/1/007Search in Google Scholar PubMed

[19] Tallgren P, Vanhatalo S, Kaila K, Voipio J. Evaluation of commercially available electrodes and gels for recording of slow EEG potentials. Clin Neurophysiol2005; 116: 799–806.10.1016/j.clinph.2004.10.001Search in Google Scholar PubMed

[20] Vanhatalo S, Holmes MD, Tallgren P, Voipio J, Kaila K, Miller JW. Very slow EEG responses lateralize temporal lobe seizures: an evaluation of non-invasive DC-EEG. Neurology2003; 60: 1098–1104.10.1212/01.WNL.0000052993.37621.CCSearch in Google Scholar

[21] Vanhatalo S, Voipio J, Kaila K. Full-band EEG (FbEEG): an emerging standard in electroencephalography. Clin Neurophysiol2005; 116: 1–8.10.1016/j.clinph.2004.09.015Search in Google Scholar PubMed

[22] Yoshinaga H, Nakahori T, Ohtsuka Y, et al. Benefit of simultaneous recording of EEG and MEG in dipole localization. Epilepsia2002; 43: 924–928.10.1046/j.1528-1157.2002.42901.xSearch in Google Scholar PubMed

Published Online: 2007-02-22
Published in Print: 2007-02-01

©2007 by Walter de Gruyter Berlin New York

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