OBJECTIVE: To investigate reproducibility and clinical relevance of quantitative EEG parameters in ischemic cerebrovascular disease. METHODS: EEG was recorded in 31 patients suffering from subacute ischemic cerebrovascular disease. Ten age-matched control subjects were included as a reference group. Intra-recording, intrarater and interrater reproducibility was calculated for standard EEG measures and for a pair wise derived Brain Symmetry Index (pdBSI). Correlations between EEG parameters, clinical status and volume of ischemia on diffusion weighted imaging (DWI) were calculated. RESULTS: pdBSI was sensitive to asymmetry in the amplitude and frequency domain in a random white noise model and in a simulated sinusoidal model. Minimal Cronbach alpha for intra-recording, intra- and inter-rater reproducibility ranged between 0.95 and 0.99 for standard spectral parameters and between 0.96 and 0.99 for pdBSI. We found a significant difference in pdBSI between stroke patients and control or TIA (p=0.0003). pdBSI correlated significantly with NIH stroke scale at admission and DWI volume across different levels of stroke probability (Spearman's rho=0.64-0.70 and 0.79-0.84, respectively, p<0.00001 for both). CONCLUSIONS: pdBSI displays high multilevel reproducibility and reliably discriminates between stroke and TIA patients or control subjects, and correlates significantly with clinical and radiological status. SIGNIFICANCE: Based on this methodological analysis, reliable EEG parameters can be evaluated in a general stroke population for clinically relevant state and outcome measures.
OBJECTIVE: To investigate reproducibility and clinical relevance of quantitative EEG parameters in ischemic cerebrovascular disease. METHODS: EEG was recorded in 31 patients suffering from subacute ischemic cerebrovascular disease. Ten age-matched control subjects were included as a reference group. Intra-recording, intrarater and interrater reproducibility was calculated for standard EEG measures and for a pair wise derived Brain Symmetry Index (pdBSI). Correlations between EEG parameters, clinical status and volume of ischemia on diffusion weighted imaging (DWI) were calculated. RESULTS: pdBSI was sensitive to asymmetry in the amplitude and frequency domain in a random white noise model and in a simulated sinusoidal model. Minimal Cronbach alpha for intra-recording, intra- and inter-rater reproducibility ranged between 0.95 and 0.99 for standard spectral parameters and between 0.96 and 0.99 for pdBSI. We found a significant difference in pdBSI between strokepatients and control or TIA (p=0.0003). pdBSI correlated significantly with NIH stroke scale at admission and DWI volume across different levels of stroke probability (Spearman's rho=0.64-0.70 and 0.79-0.84, respectively, p<0.00001 for both). CONCLUSIONS: pdBSI displays high multilevel reproducibility and reliably discriminates between stroke and TIApatients or control subjects, and correlates significantly with clinical and radiological status. SIGNIFICANCE: Based on this methodological analysis, reliable EEG parameters can be evaluated in a general stroke population for clinically relevant state and outcome measures.
Authors: Susan T Herman; Nicholas S Abend; Thomas P Bleck; Kevin E Chapman; Frank W Drislane; Ronald G Emerson; Elizabeth E Gerard; Cecil D Hahn; Aatif M Husain; Peter W Kaplan; Suzette M LaRoche; Marc R Nuwer; Mark Quigg; James J Riviello; Sarah E Schmitt; Liberty A Simmons; Tammy N Tsuchida; Lawrence J Hirsch Journal: J Clin Neurophysiol Date: 2015-04 Impact factor: 2.177
Authors: Jennifer Wu; Ramesh Srinivasan; Erin Burke Quinlan; Ana Solodkin; Steven L Small; Steven C Cramer Journal: J Neurophysiol Date: 2016-03-02 Impact factor: 2.714
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