Language mapping with navigated repetitive TMS: proof of technique and validation.

Neuroimage

Department of Neurological Surgery, University of California, San Francisco, 505 Parnassus Ave., San Francisco, CA 94143, USA.

Published: November 2013

AI Article Synopsis

  • This study explores the effectiveness of navigated transcranial magnetic stimulation (nTMS) and magnetoencephalographic imaging (MEGI) for noninvasive language mapping, comparing them to the traditional direct cortical stimulation (DCS) used in surgery.
  • Through tests on 12 subjects with brain lesions, nTMS identified 21 language disruption sites, while DCS found 10, and MEGI detected 32 active sites, with most disruptions noted in the pars opercularis area of the brain.
  • nTMS demonstrated a high sensitivity of 90% and specificity of 98% compared to DCS, indicating it is a reliable noninvasive option for mapping language pathways, although

Article Abstract

Objective: Lesion-based mapping of speech pathways has been possible only during invasive neurosurgical procedures using direct cortical stimulation (DCS). However, navigated transcranial magnetic stimulation (nTMS) may allow for lesion-based interrogation of language pathways noninvasively. Although not lesion-based, magnetoencephalographic imaging (MEGI) is another noninvasive modality for language mapping. In this study, we compare the accuracy of nTMS and MEGI with DCS.

Methods: Subjects with lesions around cortical language areas underwent preoperative nTMS and MEGI for language mapping. nTMS maps were generated using a repetitive TMS protocol to deliver trains of stimulations during a picture naming task. MEGI activation maps were derived from adaptive spatial filtering of beta-band power decreases prior to overt speech during picture naming and verb generation tasks. The subjects subsequently underwent awake language mapping via intraoperative DCS. The language maps obtained from each of the 3 modalities were recorded and compared.

Results: nTMS and MEGI were performed on 12 subjects. nTMS yielded 21 positive language disruption sites (11 speech arrest, 5 anomia, and 5 other) while DCS yielded 10 positive sites (2 speech arrest, 5 anomia, and 3 other). MEGI isolated 32 sites of peak activation with language tasks. Positive language sites were most commonly found in the pars opercularis for all three modalities. In 9 instances the positive DCS site corresponded to a positive nTMS site, while in 1 instance it did not. In 4 instances, a positive nTMS site corresponded to a negative DCS site, while 169 instances of negative nTMS and DCS were recorded. The sensitivity of nTMS was therefore 90%, specificity was 98%, the positive predictive value was 69% and the negative predictive value was 99% as compared with intraoperative DCS. MEGI language sites for verb generation and object naming correlated with nTMS sites in 5 subjects, and with DCS sites in 2 subjects.

Conclusion: Maps of language function generated with nTMS correlate well with those generated by DCS. Negative nTMS mapping also correlates with negative DCS mapping. In our study, MEGI lacks the same level of correlation with intraoperative mapping; nevertheless it provides useful adjunct information in some cases. nTMS may offer a lesion-based method for noninvasively interrogating language pathways and be valuable in managing patients with peri-eloquent lesions.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3759608PMC
http://dx.doi.org/10.1016/j.neuroimage.2013.05.018DOI Listing

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