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Correlation between dominant EEG frequency, cerebral oxygen uptake and blood flow

Ingvar, D. H. ; Sjölund, B. and Ardö, Anders LU (1976) In Clinical Neurophysiology 41(3). p.268-276
Abstract
In 32 chronic patients the EEG in temporal and occipito-parietal bipolar leads was analyzed with a manual method giving a period frequency index. The cerebral oxygen uptake (CMRO2) was calculated from the arteriovenous oxygen difference between samples from the internal carotid artery and the jugular bulb respectively, and from measurement of cerebral blood flow with the 133Xenon clearance method. A strong correlation (r = 0.78, P < 0.001) was found between the EEG frequency indices and the CMRO2 of the hemisphere from which the EEG was recorded. Significant correlations between the EEG indices and gray matter cerebral blood flow were also demonstrated, while the correlation between the EEG indices and the blood flow of the white matter... (More)
In 32 chronic patients the EEG in temporal and occipito-parietal bipolar leads was analyzed with a manual method giving a period frequency index. The cerebral oxygen uptake (CMRO2) was calculated from the arteriovenous oxygen difference between samples from the internal carotid artery and the jugular bulb respectively, and from measurement of cerebral blood flow with the 133Xenon clearance method. A strong correlation (r = 0.78, P < 0.001) was found between the EEG frequency indices and the CMRO2 of the hemisphere from which the EEG was recorded. Significant correlations between the EEG indices and gray matter cerebral blood flow were also demonstrated, while the correlation between the EEG indices and the blood flow of the white matter was weak. No correlation at all was found between the EEG indices and the relative weight of the gray matter. We conclude that the EEG carries information about the metabolic activity of the brain tissue. The EEG frequency also correlates with the blood flow of the gray matter of the brain when tissue anoxia has not uncoupled the normal function—flow relationship prevailing in the brain. (Less)
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author
; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Clinical Neurophysiology
volume
41
issue
3
pages
268 - 276
publisher
Elsevier
external identifiers
  • scopus:0017163732
ISSN
1872-8952
DOI
10.1016/0013-4694(76)90119-X
language
English
LU publication?
yes
id
e67f1da1-902a-495f-a376-c42ee6c7c8aa (old id 1055144)
date added to LUP
2016-04-04 07:00:33
date last changed
2021-09-12 03:11:13
@article{e67f1da1-902a-495f-a376-c42ee6c7c8aa,
  abstract     = {{In 32 chronic patients the EEG in temporal and occipito-parietal bipolar leads was analyzed with a manual method giving a period frequency index. The cerebral oxygen uptake (CMRO2) was calculated from the arteriovenous oxygen difference between samples from the internal carotid artery and the jugular bulb respectively, and from measurement of cerebral blood flow with the 133Xenon clearance method. A strong correlation (r = 0.78, P &lt; 0.001) was found between the EEG frequency indices and the CMRO2 of the hemisphere from which the EEG was recorded. Significant correlations between the EEG indices and gray matter cerebral blood flow were also demonstrated, while the correlation between the EEG indices and the blood flow of the white matter was weak. No correlation at all was found between the EEG indices and the relative weight of the gray matter. We conclude that the EEG carries information about the metabolic activity of the brain tissue. The EEG frequency also correlates with the blood flow of the gray matter of the brain when tissue anoxia has not uncoupled the normal function—flow relationship prevailing in the brain.}},
  author       = {{Ingvar, D. H. and Sjölund, B. and Ardö, Anders}},
  issn         = {{1872-8952}},
  language     = {{eng}},
  number       = {{3}},
  pages        = {{268--276}},
  publisher    = {{Elsevier}},
  series       = {{Clinical Neurophysiology}},
  title        = {{Correlation between dominant EEG frequency, cerebral oxygen uptake and blood flow}},
  url          = {{http://dx.doi.org/10.1016/0013-4694(76)90119-X}},
  doi          = {{10.1016/0013-4694(76)90119-X}},
  volume       = {{41}},
  year         = {{1976}},
}