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Focal lesions induce large-scale percolation of sleep-like intracerebral activity in awake humans.

Authors :
Russo S
Pigorini A
Mikulan E
Sarasso S
Rubino A
Zauli FM
Parmigiani S
d'Orio P
Cattani A
Francione S
Tassi L
Bassetti CLA
Lo Russo G
Nobili L
Sartori I
Massimini M
Source :
NeuroImage [Neuroimage] 2021 Jul 01; Vol. 234, pp. 117964. Date of Electronic Publication: 2021 Mar 23.
Publication Year :
2021

Abstract

Focal cortical lesions are known to result in large-scale functional alterations involving distant areas; however, little is known about the electrophysiological mechanisms underlying these network effects. Here, we addressed this issue by analysing the short and long distance intracranial effects of controlled structural lesions in humans. The changes in Stereo-Electroencephalographic (SEEG) activity after Radiofrequency-Thermocoagulation (RFTC) recorded in 21 epileptic subjects were assessed with respect to baseline resting wakefulness and sleep activity. In addition, Cortico-Cortical Evoked Potentials (CCEPs) recorded before the lesion were employed to interpret these changes with respect to individual long-range connectivity patterns. We found that small structural ablations lead to the generation and large-scale propagation of sleep-like slow waves within the awake brain. These slow waves match those recorded in the same subjects during sleep, are prevalent in perilesional areas, but can percolate up to distances of 60 mm through specific long-range connections, as predicted by CCEPs. Given the known impact of slow waves on information processing and cortical plasticity, demonstrating their intrusion and percolation within the awake brain add key elements to our understanding of network dysfunction after cortical injuries.<br /> (Copyright © 2021 The Author(s). Published by Elsevier Inc. All rights reserved.)

Details

Language :
English
ISSN :
1095-9572
Volume :
234
Database :
MEDLINE
Journal :
NeuroImage
Publication Type :
Academic Journal
Accession number :
33771696
Full Text :
https://doi.org/10.1016/j.neuroimage.2021.117964