Intraoperative Resting-State Functional Connectivity Based on RGB Imaging

• Published in: Diagnostics (Basel) Vol. 11; no. 11; p. 2067
• Main Authors: Caredda, Charly, Mahieu-Williame, Laurent, Sablong, Raphaël, Sdika, Michaël, Schneider, Fabien C., Guyotat, Jacques, Montcel, Bruno
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.11.2021; MDPI
• Subjects: Bioengineering; Blood vessels; Brain cancer; C plus plus; Decomposition; functional connectivity; General anesthesia; Imaging; intraoperative imaging; Life Sciences; optical imaging; Patients; resting-state; RGB imaging; Software; Surgery; France
• ISSN: 2075-4418; 2075-4418
• DOI: 10.3390/diagnostics11112067

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.