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Stroke. 2004;35:899-903
Published online before print March 4, 2004, doi: 10.1161/01.STR.0000122622.73916.d2
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*Stroke

(Stroke. 2004;35:899.)
© 2004 American Heart Association, Inc.


Original Contributions

Correlation of Quantitative EEG in Acute Ischemic Stroke With 30-Day NIHSS Score

Comparison With Diffusion and Perfusion MRI

Simon P. Finnigan, PhD; Stephen E. Rose, PhD; Michael Walsh, FRACP; Mark Griffin, PhD; Andrew L. Janke, PhD; Katie L. McMahon, PhD; Rowan Gillies, RN; Mark W. Strudwick, PhD; Catharine M. Pettigrew, BSpPath; James Semple, PhD; John Brown, MA, MD, FRCP, FMedSci, FRES; Peter Brown, MD, FRCP Jonathan B. Chalk, FRACP, PhD

From the Centre for Magnetic Resonance (S.F., S.E.R., M.W., M.G., A.L.J., K.L.M., R.G., M.W.S., J.B.C.), the Department of Speech Pathology and Audiology (C.M.P.), and the Department of Medicine (J.B.C.), University of Queensland, Brisbane, Australia; the Translational Medicine and Technology Group (J.S., J.B.), GlaxoSmithKline, Cambridge, United Kingdom; the Academic Department of Psychiatry (J.S.), University of Cambridge, Cambridge, United Kingdom; and the Sobell Department of Motor Neuroscience and Motor Disorders (P.B.), Institute of Neurology, London, United Kingdom.

Correspondence to Dr Simon P. Finnigan, PhD, Centre for Magnetic Resonance, Gehrmann Building, Research Road, University of Queensland, Brisbane, Queensland 4072, Australia. E-mail finnigan{at}cmr.uq.edu.au

Background and Purpose— Magnetic resonance imaging (MRI) methods such as diffusion- (DWI) and perfusion-weighted (PWI) imaging have been widely studied as surrogate markers to monitor stroke evolution and predict clinical outcome. The utility of quantitative electroencephalography (qEEG) as such a marker in acute stroke has not been intensively studied. The aim of the present study was to correlate ischemic cortical stroke patients’ clinical outcomes with acute qEEG, DWI, and PWI data.

Materials and Methods— DWI and PWI data were acquired from 11 patients within 7 and 16 hours after onset of symptoms. Sixty-four channel EEG data were obtained within 2 hours after the initial MRI scan and 1 hour before the second MRI scan. The acute delta change index (aDCI), a measure of the rate of change of average scalp delta power, was compared with the National Institutes of Health Stroke Scale scores (NIHSSS) at 30 days, as were MRI lesion volumes.

Results— The aDCI was significantly correlated with the 30-day NIHSSS, as was the initial mean transit time (MTT) abnormality volume ({rho}=0.80, P<0.01 and {rho}=0.79, P<0.01, respectively). Modest correlations were obtained between the 15-hour DWI lesion volume and both the aDCI and 30-day NIHSSS ({rho}=0.62, P<0.05 and {rho}=0.73, P<0.05, respectively).

Conclusions— In this small sample the significant correlation between 30-day NIHSSS and acute qEEG data (aDCI) was equivalent to that between the former and MTT abnormality volume. Both were greater than the modest correlation between acute DWI lesion volume and 30-day NIHSSS. These preliminary results indicate that acute qEEG data might be used to monitor and predict stroke evolution.


Key Words: magnetic resonance imaging, perfusion-weighted • electroencephalography • stroke assessment • magnetic resonance imaging, diffusion-weighted




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M. J.A.M. van Putten and D. L.J. Tavy
Continuous Quantitative EEG Monitoring in Hemispheric Stroke Patients Using the Brain Symmetry Index
Stroke, November 1, 2004; 35(11): 2489 - 2492.
[Abstract] [Full Text] [PDF]