Language lateralization from task-based and resting state functional MRI in patients with epilepsy.
epilepsy
fMRI
functional laterality
language
magnetic resonance imaging
resting state
seizures
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 08 2020
01 08 2020
Historique:
received:
30
09
2019
revised:
20
03
2020
accepted:
23
03
2020
pubmed:
25
4
2020
medline:
11
11
2021
entrez:
25
4
2020
Statut:
ppublish
Résumé
We compared resting state (RS) functional connectivity and task-based fMRI to lateralize language dominance in 30 epilepsy patients (mean age = 33; SD = 11; 12 female), a measure used for presurgical planning. Language laterality index (LI) was calculated from task fMRI in frontal, temporal, and frontal + temporal regional masks using LI bootstrap method from SPM12. RS language LI was assessed using two novel methods of calculating RS language LI from bilateral Broca's area seed based connectivity maps across regional masks and multiple thresholds (p < .05, p < .01, p < .001, top 10% connections). We compared LI from task and RS fMRI continuous values and dominance classifications. We found significant positive correlations between task LI and RS LI when functional connectivity thresholds were set to the top 10% of connections. Concordance of dominance classifications ranged from 20% to 30% for the intrahemispheric resting state LI method and 50% to 63% for the resting state LI intra- minus interhemispheric difference method. Approximately 40% of patients left dominant on task showed RS bilateral dominance. There was no difference in LI concordance between patients with right-sided and left-sided resections. Early seizure onset (<6 years old) was not associated with atypical language dominance during task-based or RS fMRI. While a relationship between task LI and RS LI exists in patients with epilepsy, language dominance is less lateralized on RS than task fMRI. Concordance of language dominance classifications between task and resting state fMRI depends on brain regions surveyed and RS LI calculation method.
Identifiants
pubmed: 32329951
doi: 10.1002/hbm.25003
pmc: PMC7336139
doi:
Types de publication
Journal Article
Research Support, N.I.H., Intramural
Langues
eng
Sous-ensembles de citation
IM
Pagination
3133-3146Subventions
Organisme : NIH HHS
ID : ZIANS002236
Pays : United States
Informations de copyright
Published [2020]. This article is a U.S. Government work and is in the public domain in the USA.
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