Cortical connectivity in stroke using signals from resting-state EEG: a review of current literature.

Autor: Bistriceanu CE; Elytis Hospital Hope, Iasi, Romania. catalina_nastac@yahoo.com.; Neurology Department, Faculty of Medicine, 'Grigore T. Popa' University of Medicine and Pharmacy, Iasi, Romania. catalina_nastac@yahoo.com., Danciu FA; Prof. Dr. N. Oblu' Neurosurgery Clinical Emergency Hospital, Iasi, Romania., Cuciureanu DI; Prof. Dr. N. Oblu' Neurosurgery Clinical Emergency Hospital, Iasi, Romania.; Neurology Department, Faculty of Medicine, 'Grigore T. Popa' University of Medicine and Pharmacy, Iasi, Romania.
Jazyk: angličtina
Zdroj: Acta neurologica Belgica [Acta Neurol Belg] 2023 Apr; Vol. 123 (2), pp. 351-357. Date of Electronic Publication: 2022 Oct 03.
DOI: 10.1007/s13760-022-02102-z
Abstrakt: Introduction: Stroke is considered a substantial cause of disability worldwide and many researches are focused on rehabilitative interventions. Functional magnetic resonance imaging studies centered on brain networks after stroke describe affected functional connectivity between areas within the default mode, sensorimotor, visual, fronto-parietal and executive networks. Recent studies renewed the perspective of utilizing electroencephalography to describe markers of cortical activity in stroke and recovery neurophysiological processes.
Methods: We included in our research studies realized on patients that had an ischemic or hemorrhagic stroke that performed electroencephalography and had an analysis of connectivity indices. Resting-state electroencephalography has the advantage of including patients with any neurological deficit and it is easier to perform than the task-based variant. The changes in resting-state EEG networks after stroke are important to determine a relationship between frequency cortical activity and spatial conformation of a network. From conventional to quantitative EEG analysis in stroke, these techniques are improved with additional brain connectivity tools that lead to a better characterization between injured areas and other intra- and inter-hemispheric areas.
Results: There are studies that underline the disruptions in local networks in a frequency-dependent modality after stroke, while other results are focused on bilateral changes in resting-state cortical networks, independent of the side of the lesions.
Conclusions: Many studies found alterations in various connectivity measures after stroke with the help of EEG, but the clinical significance of these findings is a field of increasing interest in research area.
(© 2022. The Author(s) under exclusive licence to Belgian Neurological Society.)
Databáze: MEDLINE
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