CASE REPORT article
Front. Neurosci.
Sec. Brain Imaging Methods
Volume 19 - 2025 | doi: 10.3389/fnins.2025.1486249
Case report: electro-cortical network effects of an acute stroke revealed by High density-Electroencephalography
Provisionally accepted- 1Wisconsin Institute for Sleep and Consciousness, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, United States
- 2Department of Neurology, University of Wisconsin-Madison, Madison, United States
- 3Padua Neuroscience Center, University of Padua, Padua, Veneto, Italy
- 4William S. Middleton Memorial Veterans Hospital, United States Department of Veterans Affairs, Madison, Wisconsin, United States
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Focal lesions such as a stroke can cause not only local effects, but also distant effects in anatomically intact regions. The impact of stroke lesions on brain networks has been mapped using neuroimaging techniques as functional magnetic resonance imaging (fMRI) and diffusion tensor imaging (DTI). In the present study, we established the feasibility of detecting network dysfunction at the electro-cortical level using High density-electroencephalography (Hd-EEG).We studied brain function using Hd-EEG in a patient with an acute left middle cerebral artery stroke. Slowing in the delta range was present beyond the ischemic focus, extending to the perilesional regions as well as distant regions. There was also delta connectivity in the stroke hemisphere with slowing affecting mainly distant regions that were interconnected with the site of the ischemic region (i.e., network-level diaschisis), although this was not statistically significant.This case study illustrates the feasibility of using Hd-EEG to map local and distant electrical activity consequences of an acute stroke on cortical functions. Such technique could be clinically useful to improve personalized stroke-network mapping in patients with acute cortical lesions.
Keywords: hdEEG, Stroke, network, diaschisis, Slow Wave
Received: 28 Aug 2024; Accepted: 25 Apr 2025.
Copyright: © 2025 Monai, Sevak, Gjini, Pini, Tononi, Struck and Boly. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Melanie Boly, Department of Neurology, University of Wisconsin-Madison, Madison, United States
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