Literature DB >> 9686400

Evaluation of acute ischemic stroke using quantitative EEG: a comparison with conventional EEG and CT scan.

L Murri1, S Gori, R Massetani, E Bonanni, F Marcella, S Milani.   

Abstract

The sensitivity of quantitative electroencephalogram (EEG) was compared with that of conventional EEG in patients with acute ischaemic stroke. In addition, a correlation between quantitative EEG data and computerized tomography (CT) scan findings was carried out for all the areas of lesion in order to reassess the actual role of EEG in the evaluation of stroke. Sixty-five patients were tested with conventional and quantitative EEG within 24 h from the onset of neurological symptoms, whereas CT scan was performed within 4 days from the onset of stroke. EEG was recorded from 19 electrodes placed upon the scalp according to the International 10-20 System. Spectral analysis was carried out on 30 artefact-free 4-sec epochs. For each channel absolute and relative power were calculated for the delta, theta, alpha and beta frequency bands and such data were successively represented in colour-coded maps. Ten patients with extensive lesions documented by CT scan were excluded. The results indicated that conventional EEG revealed abnormalities in 40 of 55 cases, while EEG mapping showed abnormalities in 46 of 55 cases: it showed focal abnormalities in five cases and nonfocal abnormalities in one of six cases which had appeared to be normal according to visual inspection of EEG. In a further 11 cases, where the conventional EEG revealed abnormalities in one hemisphere, the quantitative EEG and maps allowed to further localize abnormal activity in a more localized way. The sensitivity of both methods was higher for frontocentral, temporal and parieto-occipital cortical-subcortical infarctions than for basal ganglia and internal capsule lesions; however, quantitative EEG was more efficient for all areas of lesion in detecting cases that had appeared normal by visual inspection and was clearly superior in revealing focal abnormalities. When we considered the electrode related to which the maximum power of the delta frequency band is recorded, a fairly close correlation was found between the localization of the maximum delta power and the position of lesions documented by CT scan for all areas of lesion excepting those located in the striatocapsular area.

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Year:  1998        PMID: 9686400     DOI: 10.1016/S0987-7053(98)80115-9

Source DB:  PubMed          Journal:  Neurophysiol Clin        ISSN: 0987-7053            Impact factor:   3.734


  12 in total

Review 1.  Pathological changes of brain oscillations following ischemic stroke.

Authors:  Yoshimichi Sato; Oliver Schmitt; Zachary Ip; Gratianne Rabiller; Shunsuke Omodaka; Teiji Tominaga; Azadeh Yazdan-Shahmorad; Jialing Liu
Journal:  J Cereb Blood Flow Metab       Date:  2022-06-25       Impact factor: 6.960

2.  Resting state cortical electroencephalographic rhythms are related to gray matter volume in subjects with mild cognitive impairment and Alzheimer's disease.

Authors:  Claudio Babiloni; Filippo Carducci; Roberta Lizio; Fabrizio Vecchio; Annalisa Baglieri; Silvia Bernardini; Enrica Cavedo; Alessandro Bozzao; Carla Buttinelli; Fabrizio Esposito; Franco Giubilei; Antonio Guizzaro; Silvia Marino; Patrizia Montella; Carlo C Quattrocchi; Alberto Redolfi; Andrea Soricelli; Gioacchino Tedeschi; Raffaele Ferri; Giancarlo Rossi-Fedele; Francesca Ursini; Federica Scrascia; Fabrizio Vernieri; Torleif Jan Pedersen; Hans-Goran Hardemark; Paolo M Rossini; Giovanni B Frisoni
Journal:  Hum Brain Mapp       Date:  2012-02-14       Impact factor: 5.038

Review 3.  Quantitative EEG for the detection of brain ischemia.

Authors:  Brandon Foreman; Jan Claassen
Journal:  Crit Care       Date:  2012-12-12       Impact factor: 9.097

4.  EEG spectral exponent as a synthetic index for the longitudinal assessment of stroke recovery.

Authors:  J Lanzone; M A Colombo; S Sarasso; F Zappasodi; M Rosanova; M Massimini; V Di Lazzaro; G Assenza
Journal:  Clin Neurophysiol       Date:  2022-03-08       Impact factor: 4.861

Review 5.  Perturbation of Brain Oscillations after Ischemic Stroke: A Potential Biomarker for Post-Stroke Function and Therapy.

Authors:  Gratianne Rabiller; Ji-Wei He; Yasuo Nishijima; Aaron Wong; Jialing Liu
Journal:  Int J Mol Sci       Date:  2015-10-26       Impact factor: 5.923

6.  Comparison of low resolution electromagnetic tomography imaging between subjects with mild and severe obstructive sleep apnea syndrome: a preliminary study.

Authors:  Hyun-Kwon Lee; Doo-Heum Park; Hyun-Sil Shin; Seok-Chan Hong
Journal:  Psychiatry Investig       Date:  2008-03-31       Impact factor: 2.505

7.  Connectivity Measures Differentiate Cortical and Subcortical Sub-Acute Ischemic Stroke Patients.

Authors:  Chiara Fanciullacci; Alessandro Panarese; Vincenzo Spina; Michael Lassi; Alberto Mazzoni; Fiorenzo Artoni; Silvestro Micera; Carmelo Chisari
Journal:  Front Hum Neurosci       Date:  2021-07-01       Impact factor: 3.169

8.  Fractal dimension of EEG activity senses neuronal impairment in acute stroke.

Authors:  Filippo Zappasodi; Elzbieta Olejarczyk; Laura Marzetti; Giovanni Assenza; Vittorio Pizzella; Franca Tecchio
Journal:  PLoS One       Date:  2014-06-26       Impact factor: 3.240

9.  Abnormal Resting-State Quantitative Electroencephalogram in Children With Central Auditory Processing Disorder: A Pilot Study.

Authors:  Rafał Milner; Monika Lewandowska; Małgorzata Ganc; Elżbieta Włodarczyk; Diana Grudzień; Henryk Skarżyński
Journal:  Front Neurosci       Date:  2018-05-11       Impact factor: 4.677

10.  Slow Waves Promote Sleep-Dependent Plasticity and Functional Recovery after Stroke.

Authors:  Laura Facchin; Cornelia Schöne; Armand Mensen; Mojtaba Bandarabadi; Federica Pilotto; Smita Saxena; Paul Antoine Libourel; Claudio L A Bassetti; Antoine R Adamantidis
Journal:  J Neurosci       Date:  2020-10-21       Impact factor: 6.167

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