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The Relationship Between Cerebral Blood Flow and the EEG in Normals

Published online by Cambridge University Press:  18 September 2015

Devidas Menon*
Affiliation:
Division of Biomedical Engineering, and Applied Sciences, and the Department of Psychology, The University of Alberta, Edmonton, Alberta, Canada
Zoltan Koles
Affiliation:
Division of Biomedical Engineering, and Applied Sciences, and the Department of Psychology, The University of Alberta, Edmonton, Alberta, Canada
Allen Dobbs
Affiliation:
Division of Biomedical Engineering, and Applied Sciences, and the Department of Psychology, The University of Alberta, Edmonton, Alberta, Canada
*
10-102 Clinical Sciences Building, University of Alberta, Edmonton, Alberta, Canada T6G 2G3
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Using the Xel33 inhalation technique, measurements of the blood flow to the left and right parietal and temporal regions of the cerebrum were obtained in 5 healthy individuals while simultaneously recording their EEGs. Up to 3 measurements were obtained from each of the subjects the first while they were mentally at rest and the others while they were engaged in prescribed forms of mental activity. Relationships between the measured blood flow through grey matter, initial slope index, relative grey weight, percent grey flow and power in the delta, delta-theta, alpha, beta and gamma rhythms of the EEG were examined. The results showed that for the subject group as a whole there was a strong correlation between the power present in the low frequency components of EEG and the grey flow and relative grey weight parameters of blood flow. On an individual basis, the observed relationships were highly variable particularly at high flow rates and at low relative grey weights, but became much more definitive at low flows and high weights. The results as they relate to previous work of this kind are discussed.

Type
Research Article
Copyright
Copyright © Canadian Neurological Sciences Federation 1980

References

REFERENCES

Baldy-Moulinier, M. (1975). Cerebral electrical activity and CBF during mental activation. In: Ingvar, D.H. and Lassen, N.A. (eds.). Brain Work, Munksgaard, Copenhagen pp 353360.Google Scholar
Baron, J.C., Ackerman, R.M., Correia, J.A.. Chiappa, K.H., Wolpow, E.R., Nelson, C.N., Young, R.R., and Taveras, J.M. (1979). Comparison of two methods for cerebral activity: 133-Xenon inhalation blood flow studies and compressed spectral analysis of EEC Presented at: Cerebrovascular Clinical Research Centre Workshop, Phoenix.Google Scholar
Butler, S.R. and Glass, A. (1976). EEG correlates of cerebral dominance. In: Riesen, A.H. and Thompson, R.F. (eds.). Advances in Psychobiology, Vol. 3, Wiley, New York pp 219272.Google Scholar
Enevoldsen, E.M. and Jensen, F.T. (1978). Reproducibility of regional cerebral blood flow measurements in acute severe head injury. J. Neurosurg. 49: 366377.CrossRefGoogle ScholarPubMed
Galen, D., Johnstone, J., and Herron, J. (1978). Effects of task difficulty on EEG measures of mental engagement. Neuro-psychologia 16: 461472.Google Scholar
Grossman, R.G., Turner, J.W., Miller, J.D. and Rowan, J.O. (1975). The relationship between cortical electrical activity, cerebral perfusion pressure and CBF during increased intracranial pressure. In: Langfitt, T.W., McHenry, L.C. jr., Reivich, M. and Wollman, H. (eds.). Cerebral Circulation and Metabolism, Springer-Verlag, New York.Google Scholar
Hachinski, V.C., Olesen, J., Norris, J.W., Larsen, B., Enevoldsen, E. and Lassen, N.A. (1977). Cerebral hemodynamics in migraine. Can. J. Neurol. Sci. 4: 245249.CrossRefGoogle ScholarPubMed
Ingvar, D.H., Baldy-Moulinier, M., Sulg, I. and Horman, S. (1965). Regional cerebral blood flow related to EEG. Acta Neurol. Scand. Suppl. 14: 179182.Google ScholarPubMed
Ingvar, D.H. (1977). Functional responses of the human brain studied by regional cerebral blood flow techniques. Acta Clin. Belgica 32: 6883.CrossRefGoogle ScholarPubMed
Menon, D. and Weir, B. (1979) Evaluation of cerebral blood flow in arteriovenous malformations by the Xenon 133 inhalation method. Can. J. Neurol. Sci. 6: 411416.CrossRefGoogle ScholarPubMed
Obrist, W.D., Sokoloff, L., Lassen, N.A., Lane, M.H., Buller, R.N. and Feinberg, I. (1963). Relation of EEG to cerebral blood flow and metabolism in old age. Electroenceph. Clin. Neurophysiol. 15: 610619.CrossRefGoogle ScholarPubMed
Shaw, J.E., O’, K.P. and Ongley, C. (1977). The EEG asa measure of cerebral function organisation. Brit. J. Psychiatry 130: 260264.CrossRefGoogle Scholar
Sulg, L.A., and Ingvar, D.H. (1968). Regional cerebral blood flow and EEG in occlusions of the middle cerebral artery. Scand. J. Clin. Lab. Invest. Suppl. 102: Sec. XVI:D.CrossRefGoogle ScholarPubMed
Trojaborg, W. and Boysen, G. (1973). Relation between EEG, rCBF and internal carotid artery pressure during carotid endarterectomy. Electroenceph. Clin. Neurophysiol. 34: 6169.CrossRefGoogle Scholar
Weir, B., Menon, D. and Overton, T. (1978). Regional cerebral blood flow in patients with aneurysms: Estimation by Xenon 133 inhalation. Can. J. Neurol. Sci. 5: 301305.CrossRefGoogle ScholarPubMed
Welch, P.D. (1967). The use of the Fast Fourier Transform for the estimation of power spectra: a method based on time averaging over short modified periodograms. IEEE Trans. Audio and Electroacoustics 15: 7073.CrossRefGoogle Scholar
York, E.L., Jones, R.L., Menon, D. and Sproule, B.J. (1979). Effects of secondary polycythemia on cerebral blood flow in chronic obstructive pulmonary disease. (In press) The American Review of Respiratory Disease.Google Scholar