OBJECTIVE: Resection of brain tumors adjacent to eloquent areas represents a challenge in neurosurgery. If maximal resection is desired without inducing postoperative neurological deficits, a detailed knowledge of the functional topography in and around the tumor is crucial. The aim of the present work is to evaluate the value of preoperative magnetoencephalography (MEG) imaging of functional connectivity to predict the results of intraoperative electrical stimulation (IES) mapping, the clinical gold standard for neurosurgical localization of functional areas. METHODS: Resting-state whole-cortex MEG recordings were obtained from 57 consecutive subjects with focal brain tumors near or within motor, sensory, or language areas. Neural activity was estimated using adaptive spatial filtering algorithms, and the mean imaginary coherence between the rest of the brain and voxels in and around brain tumors were compared to the mean imaginary coherence between the rest of the brain and contralesional voxels as an index of functional connectivity. IES mapping was performed in all subjects. The cortical connectivity pattern near the tumor was compared to the IES results. RESULTS: Maps with decreased resting-state functional connectivity in the entire tumor area had a negative predictive value of 100% for absence of eloquent cortex during IES. Maps showing increased resting-state functional connectivity within the tumor area had a positive predictive value of 64% for finding language, motor, or sensory cortical sites during IES mapping. INTERPRETATION: Preoperative resting state MEG connectivity analysis is a useful noninvasive tool to evaluate the functionality of the tissue surrounding tumors within eloquent areas, and could potentially contribute to surgical planning and patient counseling.
OBJECTIVE: Resection of brain tumors adjacent to eloquent areas represents a challenge in neurosurgery. If maximal resection is desired without inducing postoperative neurological deficits, a detailed knowledge of the functional topography in and around the tumor is crucial. The aim of the present work is to evaluate the value of preoperative magnetoencephalography (MEG) imaging of functional connectivity to predict the results of intraoperative electrical stimulation (IES) mapping, the clinical gold standard for neurosurgical localization of functional areas. METHODS: Resting-state whole-cortex MEG recordings were obtained from 57 consecutive subjects with focal brain tumors near or within motor, sensory, or language areas. Neural activity was estimated using adaptive spatial filtering algorithms, and the mean imaginary coherence between the rest of the brain and voxels in and around brain tumors were compared to the mean imaginary coherence between the rest of the brain and contralesional voxels as an index of functional connectivity. IES mapping was performed in all subjects. The cortical connectivity pattern near the tumor was compared to the IES results. RESULTS: Maps with decreased resting-state functional connectivity in the entire tumor area had a negative predictive value of 100% for absence of eloquent cortex during IES. Maps showing increased resting-state functional connectivity within the tumor area had a positive predictive value of 64% for finding language, motor, or sensory cortical sites during IES mapping. INTERPRETATION: Preoperative resting state MEG connectivity analysis is a useful noninvasive tool to evaluate the functionality of the tissue surrounding tumors within eloquent areas, and could potentially contribute to surgical planning and patient counseling.
Authors: Linda Douw; Hans Baayen; Ingeborg Bosma; Martin Klein; Peter Vandertop; Jan Heimans; Kees Stam; Jan de Munck; Jaap Reijneveld Journal: Exp Neurol Date: 2008-03-26 Impact factor: 5.330
Authors: Anthony T Lee; Claire Faltermeier; Ramin A Morshed; Jacob S Young; Sofia Kakaizada; Claudia Valdivia; Anne M Findlay; Phiroz E Tarapore; Srikantan S Nagarajan; Shawn L Hervey-Jumper; Mitchel S Berger Journal: J Neurosurg Date: 2020-04-03 Impact factor: 5.115
Authors: Leighton B N Hinkley; Sophia Vinogradov; Adrian G Guggisberg; Melissa Fisher; Anne M Findlay; Srikantan S Nagarajan Journal: Biol Psychiatry Date: 2011-09-08 Impact factor: 13.382
Authors: Syed Ali Ahsan; Kassem Chendeb; Robert G Briggs; Luke R Fletcher; Ryan G Jones; Arpan R Chakraborty; Cameron E Nix; Christina C Jacobs; Alison M Lack; Daniel T Griffin; Charles Teo; Michael Edward Sughrue Journal: J Neurooncol Date: 2020-01-01 Impact factor: 4.130
Authors: Phiroz E Tarapore; Juan Martino; Adrian G Guggisberg; Julia Owen; Susanne M Honma; Anne Findlay; Mitchel S Berger; Heidi E Kirsch; Srikantan S Nagarajan Journal: Neurosurgery Date: 2012-11 Impact factor: 4.654
Authors: L J Larson-Prior; R Oostenveld; S Della Penna; G Michalareas; F Prior; A Babajani-Feremi; J-M Schoffelen; L Marzetti; F de Pasquale; F Di Pompeo; J Stout; M Woolrich; Q Luo; R Bucholz; P Fries; V Pizzella; G L Romani; M Corbetta; A Z Snyder Journal: Neuroimage Date: 2013-05-20 Impact factor: 6.556
Authors: Phiroz E Tarapore; Anne M Findlay; Sara C Lahue; Hana Lee; Susanne M Honma; Danielle Mizuiri; Tracy L Luks; Geoffrey T Manley; Srikantan S Nagarajan; Pratik Mukherjee Journal: J Neurosurg Date: 2013-04-19 Impact factor: 5.115