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Comparison between resting state fMRI networks and responsive cortical stimulations in glioma patients
Human brain mapping, 2016-11, Vol.37 (11), p.3721-3732
Cochereau, Jérôme
Deverdun, Jérémy
Herbet, Guillaume
Charroud, Céline
Boyer, Anthony
Moritz-Gasser, Sylvie
Le Bars, Emmanuelle
Molino, François
Bonafé, Alain
Menjot de Champfleur, Nicolas
Duffau, Hugues
2016
Details
Autor(en) / Beteiligte
Cochereau, Jérôme
Deverdun, Jérémy
Herbet, Guillaume
Charroud, Céline
Boyer, Anthony
Moritz-Gasser, Sylvie
Le Bars, Emmanuelle
Molino, François
Bonafé, Alain
Menjot de Champfleur, Nicolas
Duffau, Hugues
Titel
Comparison between resting state fMRI networks and responsive cortical stimulations in glioma patients
Ist Teil von
Human brain mapping, 2016-11, Vol.37 (11), p.3721-3732
Ort / Verlag
United States: Blackwell Publishing Ltd
Erscheinungsjahr
2016
Link zum Volltext
Quelle
Wiley Online Library Journals Frontfile Complete
Beschreibungen/Notizen
Objectives To validate the functional relevance of resting state networks (RSNs) by means of a comparison of resting state connectivity (RSC) between language regions elicited by direct cortical stimulation versus RSC between random regions; and to evaluate the accuracy of resting state fMRI in surgical planning by assessing the overlap between RSNs and intraoperative functional mapping results. Methods Sensorimotor and language eloquent sites were identified by direct electrical cortical stimulation in 98 patients with a diffuse low‐grade glioma. A seed to voxel analysis with inter‐language stimulation point connectivity versus inter‐random ROIs connectivity was performed (19 patients). An independant component analysis (ICA) was also applied to rsfMRI data. Language and sensorimotor components were selected over 20 independent components and compared to the corresponding stimulation points and resected cortex masks (31 and 90 patients, respectively). Results Mean connectivity value between language seeds was significantly higher than the one between random seeds (0.68 ± 0.39 and 0.12 ± 0.21 respectively, P < 10−10). 96 ± 11% of sensorimotor stimulation points were located within 10 mm from sensorimotor ICA maps versus 92 ± 21% for language. 3.1 and 15% of resected cortex overlapped sensorimotor and language networks, respectively. Mean sensorimotor stimulation points and resected cortex z‐scores were 2.0 ± 1.2 and −0.050 ± 0.60, respectively (P < 10−10). Mean language stimulation points and resected cortex z‐scores were 1.6 ± 1.9 and 0.68 ± 0.91, respectively, P < 0.005. Conclusion The significantly higher RSC between language seeds than between random seeds validated the functional relevance of RSC. ICA partly succeeded to distinguish eloquent versus surgically removable areas and may be possibly used as a complementary tool to intraoperative mapping. Hum Brain Mapp 37:3721–3732, 2016. © 2016 Wiley Periodicals, Inc.
Sprache
Englisch
Identifikatoren
ISSN: 1065-9471
eISSN: 1097-0193
DOI: 10.1002/hbm.23270
Titel-ID: cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6867351
Format
–
Schlagworte
Adult
,
Bioinformatics
,
Brain - diagnostic imaging
,
Brain - physiopathology
,
Brain - surgery
,
Brain Mapping
,
Brain Neoplasms - diagnostic imaging
,
Brain Neoplasms - physiopathology
,
Brain Neoplasms - surgery
,
Computer Science
,
Electric Stimulation
,
Female
,
functional magnetic resonance imaging
,
glioma
,
Glioma - diagnostic imaging
,
Glioma - physiopathology
,
Glioma - surgery
,
Humans
,
Imaging, Three-Dimensional
,
Language
,
Magnetic Resonance Imaging
,
Male
,
neurosurgery
,
Preoperative Care
,
Rest
,
resting-state fMRI
,
sensorimotor cortex
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