Language mapping using high gamma electrocorticography, fMRI, and TMS versus electrocortical stimulation. Issue 3 (March 2016)

• Record Type: Journal Article
• Authors: Babajani-Feremi, Abbas; Narayana, Shalini; Rezaie, Roozbeh; Choudhri, Asim F.; Fulton, Stephen P.; Boop, Frederick A.; Wheless, James W.; Papanicolaou, Andrew C.
• Is Part Of: Clinical neurophysiology. Volume 127:Issue 3(2016:Mar.)
• Page Start: 1822
• Page End: 1836
• Publication Date: 2016-03
• Subjects: Epilepsy -- Presurgical language mapping -- Cortical stimulation mapping (CSM) -- High gamma electrocorticography (hgECoG) -- Functional MRI (fMRI) -- Transcranial magnetic stimulation (TMS); Neurophysiology -- Periodicals; Electroencephalography -- Periodicals; Electromyography -- Periodicals; Neurology -- Periodicals; 612.8
• DOI: 10.1016/j.clinph.2015.11.017
• Languages: English
• ISSNs: 1388-2457

Abstract

Highlights: There is considerable concordance between CSM, high gamma ECoG (hgECoG), fMRI, and TMS. TMS, hgECoG, and fMRI are valuable tools for presurgical language mapping. A multimodal language mapping approach can overcome the limitations of CSM. Abstract: Objective: The aim of the present study was to compare localization of the language cortex using cortical stimulation mapping (CSM), high gamma electrocorticography (hgECoG), functional magnetic resonance imaging (fMRI), and transcranial magnetic stimulation (TMS). Methods: Language mapping using CSM, hgECoG, fMRI, and TMS were compared in nine patients with epilepsy. Considering CSM as reference, we compared language mapping approaches based on hgECoG, fMRI, and TMS using their sensitivity, specificity, and the results of receiver operating characteristic (ROC) analyses. Results: Our results show that areas involved in language processing can be identified by hgECoG, fMRI, and TMS. The average sensitivity/specificity of hgECoG, fMRI, and TMS across all patients was 100%/85%, 50%/80%, and 67%/66%, respectively. The average area under the ROC curve of hgECoG, fMRI, and TMS across CSM-positive patients was 0.98, 0.76, and 0.68, respectively. Conclusions: There is considerable concordance between CSM, hgECoG, fMRI, and TMS language mapping. Our results reveal that hgECoG, fMRI, and TMS are valuable tools for presurgical language mapping. Significance: Language mapping on the basis of hgECoG, fMRI, and TMS can provide important additional information, therefore, these methods can be used in conjunction with CSM or as an alternative, when the latter is deemed impractical.