Probabilistic mapping of language networks from high frequency activity induced by direct electrical stimulation.
Adult
Brain Mapping
Cerebral Cortex
/ diagnostic imaging
Child
Drug Resistant Epilepsy
/ physiopathology
Electric Stimulation
Electrocorticography
Epilepsies, Partial
/ physiopathology
Female
Humans
Implantable Neurostimulators
Language
Language Tests
Male
Middle Aged
Nerve Net
/ diagnostic imaging
Retrospective Studies
Young Adult
direct electrical stimulation
high frequency activity
intracranial electroencephalography
language
naming
paraphasia
speech arrest
Journal
Human brain mapping
ISSN: 1097-0193
Titre abrégé: Hum Brain Mapp
Pays: United States
ID NLM: 9419065
Informations de publication
Date de publication:
01 10 2020
01 10 2020
Historique:
received:
23
12
2019
revised:
28
05
2020
accepted:
02
06
2020
pubmed:
23
7
2020
medline:
15
12
2021
entrez:
23
7
2020
Statut:
ppublish
Résumé
Direct electrical stimulation (DES) at 50 Hz is used as a gold standard to map cognitive functions but little is known about its ability to map large-scale networks and specific subnetwork. In the present study, we aim to propose a new methodological approach to evaluate the specific hypothesis suggesting that language errors/dysfunction induced by DES are the result of large-scale network modification rather than of a single cortical region, which explains that similar language symptoms may be observed after stimulation of different cortical regions belonging to this network. We retrospectively examined 29 patients suffering from focal drug-resistant epilepsy who benefitted from stereo-electroencephalographic (SEEG) exploration and exhibited language symptoms during a naming task following 50 Hz DES. We assessed the large-scale language network correlated with behavioral DES-induced responses (naming errors) by quantifying DES-induced changes in high frequency activity (HFA, 70-150 Hz) outside the stimulated cortical region. We developed a probabilistic approach to report the spatial pattern of HFA modulations during DES-induced language errors. Similarly, we mapped the pattern of after-discharges (3-35 Hz) occurring after DES. HFA modulations concurrent to language symptoms revealed a brain network similar to our current knowledge of language gathered from standard brain mapping. In addition, specific subnetworks could be identified within the global language network, related to different language processes, generally described in relation to the classical language regions. Spatial patterns of after-discharges were similar to HFA induced during DES. Our results suggest that this new methodological DES-HFA mapping is a relevant approach to map functional networks during SEEG explorations, which would allow to shift from "local" to "network" perspectives.
Identifiants
pubmed: 32697353
doi: 10.1002/hbm.25112
pmc: PMC7469846
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
4113-4126Subventions
Organisme : Agence Nationale de la Recherche
ID : RFTC ANR- 18-CE92-0053-01
Organisme : Agence Nationale pour la Recherche
ID : FORCE ANR-2013-TECS-0013-01
Organisme : European Union's Seventh Framework Programme
ID : 616268 F-TRACT
Organisme : Grenoble-Alpes University Hospital
ID : DRCI 1325
Organisme : European Union's Horizon 2020 Framework Programme for Research and Innovation
ID : 785907
Informations de copyright
© 2020 The Authors. Human Brain Mapping published by Wiley Periodicals LLC.
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