Literature DB >> 33618418

fMRI Resting-State Connectivity between Language and Nonlanguage Areas as Defined by Intraoperative Electrocortical Stimulation in Low-Grade Glioma Patients.

Jasper van Lieshout1, Wouter Debaene2, Marion Rapp1, Herke Jan Noordmans3, Geert-Jan Rutten4.   

Abstract

BACKGROUND AND OBJECTIVES: It remains to be determined whether noninvasive functional imaging techniques can rival the clinical potential of direct electrocortical stimulation (DES). In this study, we compared the results of resting-state functional magnetic resonance imaging (rs-fMRI) to those of DES for language mapping. Our goals were twofold: (1) to replicate a previous study that demonstrated that resting-state connectivity (RSC) was significantly larger between positive DES language sites than between negative DES language sites and (2) to compare the spatial resolution of rs-fMRI to that of DES.
METHODS: We conducted a retrospective study of nine low-grade glioma patients. Language sites were identified by intraoperative DES. We compared RSC values between and within groups of DES-positive and DES-negative regions of interest (ROIs). Both close-negative sites (i.e., DES-negative sites <1 cm apart from and on the same gyrus as DES-positive sites) and far-negative sites (i.e., purely randomly chosen sites not in the vicinity of the tumor or of the DES-positive sites but on the same lobe) were included. Receiver operating characteristics were used to quantify comparisons.
RESULTS: Functional connectivity between all positive language sites was on average significantly higher than between all close-negative sites and between all far-negative sites. The functional connectivity between the positive language ROIs and their respective close-negative control sites was not smaller than between all positive language sites.
CONCLUSION: rs-fMRI likely reflects similar neural information as detected with DES, but in its current form does not reach the spatial resolution of DES. Thieme. All rights reserved.

Entities:  

Year:  2021        PMID: 33618418     DOI: 10.1055/s-0040-1721757

Source DB:  PubMed          Journal:  J Neurol Surg A Cent Eur Neurosurg        ISSN: 2193-6315            Impact factor:   1.268


  1 in total

Review 1.  What Can Resting-State fMRI Data Analysis Explain about the Functional Brain Connectivity in Glioma Patients?

Authors:  Giovanni Sighinolfi; Micaela Mitolo; Claudia Testa; Matteo Martinoni; Stefania Evangelisti; Magali Jane Rochat; Matteo Zoli; Diego Mazzatenta; Raffaele Lodi; Caterina Tonon
Journal:  Tomography       Date:  2022-01-27
  1 in total

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