EEG in ischaemic stroke: Quantitative EEG can uniquely inform (sub-)acute prognoses and clinical management

• Published in: Clinical neurophysiology Vol. 124; no. 1; pp. 10 - 19
• Main Authors: Finnigan, Simon, van Putten, Michel J.A.M
• Format: Journal Article
• Language: English
• Published: Oxford Elsevier Ireland Ltd 01.01.2013; Elsevier
• Subjects: Acute stroke; Biological and medical sciences; Brain Ischemia - physiopathology; Brain Ischemia - therapy; Case Management; Electrodiagnosis. Electric activity recording; Electroencephalography; Humans; Investigative techniques, diagnostic techniques (general aspects); Ischaemia; Medical sciences; Monitoring, Physiologic; Nervous system; Neurology; Prognosis; Quantitative electroencephalography; Stroke - physiopathology; Stroke - therapy; Stroke outcomes; Thrombolysis; Thrombolytic Therapy - methods; Vascular diseases and vascular malformations of the nervous system; Ischaemia; Quantitative electroencephalography; Prognosis; Stroke outcomes; Thrombolysis; Acute stroke; Electrophysiology; Cardiovascular disease; Electroencephalography; Review; Vascular disease; Voltage; Predictive value; Cerebrovascular disease; Monitoring; Human; Nervous system diseases; Stroke; Translation; Prediction; Decision; Cerebral disorder; Asymmetry; Central nervous system disease; Brain ischemia; Strategy; Clinical investigation; Rehabilitation
• ISSN: 1388-2457; 1872-8952
• DOI: 10.1016/j.clinph.2012.07.003

Highlights ► Quantitative electroencephalographic (QEEG) abnormality indices sensitive to power of slow relative to faster activity, or to interhemispheric asymmetry, can uniquely inform clinical prognoses and management during (sub-)acute ischaemic stroke. ► Continuous bedside monitoring of these QEEG indices during thrombolytic therapy may instantaneously inform clinicians about the efficacy of same and thereby inform decisions about “bridging” protocols involving intra-arterial interventions. ► Current clinical EEG systems compute and display various QEEG indices, facilitating non-expert EEG interpretation. Hence wider utilisation of such technology appears warranted and would address a key stroke management objective proposed by numerous stroke opinion leaders.