Quantitative EEG indices of sub-acute ischaemic stroke correlate with clinical outcomes

Finnigan, Simon P., Walsh, Michael G., Rose, Stephen E. and Chalk, Jonathan B. (2007) Quantitative EEG indices of sub-acute ischaemic stroke correlate with clinical outcomes. Clinical Neurophysiology, 118 11: 2525-2532. doi:10.1016/j.clinph.2007.07.021


Author Finnigan, Simon P.
Walsh, Michael G.
Rose, Stephen E.
Chalk, Jonathan B.
Title Quantitative EEG indices of sub-acute ischaemic stroke correlate with clinical outcomes
Journal name Clinical Neurophysiology   Check publisher's open access policy
ISSN 1388-2457
1872-8952
Publication date 2007-11
Sub-type Article (original research)
DOI 10.1016/j.clinph.2007.07.021
Volume 118
Issue 11
Start page 2525
End page 2532
Total pages 8
Editor M. Hallet
Place of publication Amsterdam, Netherlands
Publisher Elsevier Ireland
Collection year 2008
Language eng
Subject 321013 Neurology and Neuromuscular Diseases
C1
730104 Nervous system and disorders
1702 Cognitive Sciences
1103 Clinical Sciences
1109 Neurosciences
Formatted abstract
Objective
We investigated the ability of quantitative electroencephalography (QEEG) measures in sub-acute stroke to assist monitoring or prognostication of stroke evolution. QEEG indices and National Institutes of Health Stroke Scale (NIHSS) scores were compared.

Methods
Ischaemic cortical stroke patients were studied. Resting, 62-channel EEG and NIHSS score were acquired at 49 ± 3 h post-symptom onset, and NIHSS administered at 30 ± 2 days post-stroke. Mean power was calculated for delta (1-4 Hz), theta (4.1-8 Hz), alpha (8.1-12.5 Hz) and beta (12.6-30 Hz) frequency bands, using a 62-channel electrode array and a 19-channel subset.

Results
Thirteen patients (6 male, median age 66, range 54-86 years) were studied. Sub-acute delta:alpha power ratio (DAR; r = 0.91, P < 0.001), relative alpha power (r = -0.82, P < 0.01), and NIHSS score (r = 0.92, P < 0.001) each were significantly correlated with 30-day NIHSS score. The former two significant correlations were upheld in 19-channel EEG data. QEEG measures involving theta or beta power were not significantly correlated with NIHSS scores.

Conclusions
QEEG measures such as DAR demonstrate potential to augment bedside assessment of cerebral pathophysiology and prognostication of stroke evolution. A standard, 19-channel array seems adequate for these purposes. Future studies in larger samples should investigate the potential effects on these measures of sleep state and possible causes of artefacts.

Significance
QEEG measures from a standard number of electrodes, if available rapidly and robust to potential artefacts, may inform future management of stroke patients.
© 2007 International Federation of Clinical Neurophysiology. Published by Elsevier Ireland Ltd. All rights reserved.
Keyword Clinical Neurology
Neurosciences
Stroke
EEG
Quantitative EEG
Delta activity
Alpha activity
Subarachnoid hemorrhage
Cerebral infarction
Scale
Reliability
Lesions
Ratio
MRI
Q-Index Code C1

 
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Created: Mon, 18 Feb 2008, 15:39:48 EST