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.
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 strokepatients' 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.
Authors: Lauren Shreve; Arshdeep Kaur; Christopher Vo; Jennifer Wu; Jessica M Cassidy; Andrew Nguyen; Robert J Zhou; Thuong B Tran; Derek Z Yang; Ariana I Medizade; Bharath Chakravarthy; Wirachin Hoonpongsimanont; Erik Barton; Wengui Yu; Ramesh Srinivasan; Steven C Cramer Journal: J Stroke Cerebrovasc Dis Date: 2019-06-04 Impact factor: 2.136
Authors: Yu-Hang Liu; Su Jing Chan; Han-Chi Pan; Aishwarya Bandla; Nicolas K K King; Peter Tsun Hon Wong; You-Yin Chen; Wai Hoe Ng; Nitish V Thakor; Lun-De Liao Journal: Neurophotonics Date: 2017-10-04 Impact factor: 3.593
Authors: Jennifer Diedler; Marek Sykora; Thomas Bast; Sven Poli; Roland Veltkamp; Patricio Mellado; Thorsten Steiner; André Rupp Journal: Neurocrit Care Date: 2009 Impact factor: 3.210
Authors: Gabriel C Müller; Samanta O Loureiro; Letícia F Pettenuzzo; Roberto F Almeida; Evandro Y Ynumaru; Pedro A Guazzelli; Fabíola S Meyer; Mayara V Pasquetti; Marcelo Ganzella; Maria Elisa Calcagnotto; Diogo O Souza Journal: Purinergic Signal Date: 2021-04-09 Impact factor: 3.765