Intraoperative Resting-State Functional Connectivity Based on RGB Imaging

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-s...

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Autores principales: Charly Caredda, Laurent Mahieu-Williame, Raphaël Sablong, Michaël Sdika, Fabien C. Schneider, Jacques Guyotat, Bruno Montcel
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Publicado: MDPI AG 2021
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Acceso en línea:https://doaj.org/article/c07fe002f54c40fc93359c71fcfadf91
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spelling oai:doaj.org-article:c07fe002f54c40fc93359c71fcfadf912021-11-25T17:21:19ZIntraoperative Resting-State Functional Connectivity Based on RGB Imaging10.3390/diagnostics111120672075-4418https://doaj.org/article/c07fe002f54c40fc93359c71fcfadf912021-11-01T00:00:00Zhttps://www.mdpi.com/2075-4418/11/11/2067https://doaj.org/toc/2075-4418RGB 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 (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>D</mi><mi>I</mi><mi>C</mi><mi>E</mi><mo>:</mo><mn>0.55</mn><mspace width="3.33333pt"></mspace><mo>±</mo><mspace width="3.33333pt"></mspace><mn>0.29</mn></mrow></semantics></math></inline-formula>). Resting state procedures showed a strong correspondence between them (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>D</mi><mi>I</mi><mi>C</mi><mi>E</mi><mo>:</mo><mn>0.66</mn><mspace width="3.33333pt"></mspace><mo>±</mo><mspace width="3.33333pt"></mspace><mn>0.11</mn></mrow></semantics></math></inline-formula>) 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.Charly CareddaLaurent Mahieu-WilliameRaphaël SablongMichaël SdikaFabien C. SchneiderJacques GuyotatBruno MontcelMDPI AGarticleresting-statefunctional connectivityintraoperative imagingoptical imagingRGB imagingMedicine (General)R5-920ENDiagnostics, Vol 11, Iss 2067, p 2067 (2021)
institution DOAJ
collection DOAJ
language EN
topic resting-state
functional connectivity
intraoperative imaging
optical imaging
RGB imaging
Medicine (General)
R5-920
spellingShingle resting-state
functional connectivity
intraoperative imaging
optical imaging
RGB imaging
Medicine (General)
R5-920
Charly Caredda
Laurent Mahieu-Williame
Raphaël Sablong
Michaël Sdika
Fabien C. Schneider
Jacques Guyotat
Bruno Montcel
Intraoperative Resting-State Functional Connectivity Based on RGB Imaging
description 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 (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>D</mi><mi>I</mi><mi>C</mi><mi>E</mi><mo>:</mo><mn>0.55</mn><mspace width="3.33333pt"></mspace><mo>±</mo><mspace width="3.33333pt"></mspace><mn>0.29</mn></mrow></semantics></math></inline-formula>). Resting state procedures showed a strong correspondence between them (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>D</mi><mi>I</mi><mi>C</mi><mi>E</mi><mo>:</mo><mn>0.66</mn><mspace width="3.33333pt"></mspace><mo>±</mo><mspace width="3.33333pt"></mspace><mn>0.11</mn></mrow></semantics></math></inline-formula>) 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.
format article
author Charly Caredda
Laurent Mahieu-Williame
Raphaël Sablong
Michaël Sdika
Fabien C. Schneider
Jacques Guyotat
Bruno Montcel
author_facet Charly Caredda
Laurent Mahieu-Williame
Raphaël Sablong
Michaël Sdika
Fabien C. Schneider
Jacques Guyotat
Bruno Montcel
author_sort Charly Caredda
title Intraoperative Resting-State Functional Connectivity Based on RGB Imaging
title_short Intraoperative Resting-State Functional Connectivity Based on RGB Imaging
title_full Intraoperative Resting-State Functional Connectivity Based on RGB Imaging
title_fullStr Intraoperative Resting-State Functional Connectivity Based on RGB Imaging
title_full_unstemmed Intraoperative Resting-State Functional Connectivity Based on RGB Imaging
title_sort intraoperative resting-state functional connectivity based on rgb imaging
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/c07fe002f54c40fc93359c71fcfadf91
work_keys_str_mv AT charlycaredda intraoperativerestingstatefunctionalconnectivitybasedonrgbimaging
AT laurentmahieuwilliame intraoperativerestingstatefunctionalconnectivitybasedonrgbimaging
AT raphaelsablong intraoperativerestingstatefunctionalconnectivitybasedonrgbimaging
AT michaelsdika intraoperativerestingstatefunctionalconnectivitybasedonrgbimaging
AT fabiencschneider intraoperativerestingstatefunctionalconnectivitybasedonrgbimaging
AT jacquesguyotat intraoperativerestingstatefunctionalconnectivitybasedonrgbimaging
AT brunomontcel intraoperativerestingstatefunctionalconnectivitybasedonrgbimaging
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