Intraoperative Resting-State Functional Connectivity Based on RGB Imaging.
RGB imaging
functional connectivity
intraoperative imaging
optical imaging
resting-state
Journal
Diagnostics (Basel, Switzerland)
ISSN: 2075-4418
Titre abrégé: Diagnostics (Basel)
Pays: Switzerland
ID NLM: 101658402
Informations de publication
Date de publication:
09 Nov 2021
09 Nov 2021
Historique:
received:
16
09
2021
revised:
27
10
2021
accepted:
04
11
2021
entrez:
27
11
2021
pubmed:
28
11
2021
medline:
28
11
2021
Statut:
epublish
Résumé
RGB optical imaging is a marker-free, contactless, and non-invasive technique that is able to monitor hemodynamic brain response following neuronal activation using task-based and resting-state procedures. Magnetic resonance imaging (fMRI) and functional near infra-red spectroscopy (fNIRS) resting-state procedures cannot be used intraoperatively but RGB imaging provides an ideal solution to identify resting-state networks during a neurosurgical operation. We applied resting-state methodologies to intraoperative RGB imaging and evaluated their ability to identify resting-state networks. We adapted two resting-state methodologies from fMRI for the identification of resting-state networks using intraoperative RGB imaging. Measurements were performed in 3 patients who underwent resection of lesions adjacent to motor sites. The resting-state networks were compared to the identifications provided by RGB task-based imaging and electrical brain stimulation. Intraoperative RGB resting-state networks corresponded to RGB task-based imaging (DICE:0.55±0.29). Resting state procedures showed a strong correspondence between them (DICE:0.66±0.11) and with electrical brain stimulation. RGB imaging is a relevant technique for intraoperative resting-state networks identification. Intraoperative resting-state imaging has several advantages compared to functional task-based analyses: data acquisition is shorter, less complex, and less demanding for the patients, especially for those unable to perform the tasks.
Identifiants
pubmed: 34829414
pii: diagnostics11112067
doi: 10.3390/diagnostics11112067
pmc: PMC8625493
pii:
doi:
Types de publication
Journal Article
Langues
eng
Subventions
Organisme : LABEX PRIMES
ID : ANR-11-LABX-0063
Organisme : French National Research Agency
ID : ANR-11-IDEX-0007
Organisme : Infrastructures d'Avenir en Biologie Santé
ID : ANR-11-INBS-000
Organisme : France Life Imaging
ID : ANR-11-INBS-0006
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