Volume 60, Issue 3 pp. 560-570
FULL-LENGTH ORIGINAL RESEARCH

Functional MRI and direct cortical stimulation: Prediction of postoperative language decline

Rachel Rolinski

Corresponding Author

Rachel Rolinski

Clinical Epilepsy Section, National Institute of Neurological Disorders and Stroke, Bethesda, Maryland

Correspondence

Rachel Rolinski, Clinical Epilepsy Section, National Institute of Neurological Disorders and Stroke, Bethesda, MD.

Email: [email protected]

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Alison Austermuehle

Alison Austermuehle

Clinical Epilepsy Section, National Institute of Neurological Disorders and Stroke, Bethesda, Maryland

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Edythe Wiggs

Edythe Wiggs

Clinical Epilepsy Section, National Institute of Neurological Disorders and Stroke, Bethesda, Maryland

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Shubhi Agrawal

Shubhi Agrawal

Clinical Epilepsy Section, National Institute of Neurological Disorders and Stroke, Bethesda, Maryland

Berman Brain & Spine Institute, Baltimore, Maryland

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Leigh N. Sepeta

Leigh N. Sepeta

Clinical Epilepsy Section, National Institute of Neurological Disorders and Stroke, Bethesda, Maryland

Department of Neurology, Children's National Medical Center, Washington, District of Columbia

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William D. Gaillard

William D. Gaillard

Clinical Epilepsy Section, National Institute of Neurological Disorders and Stroke, Bethesda, Maryland

Department of Neurology, Children's National Medical Center, Washington, District of Columbia

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Kareem A. Zaghloul

Kareem A. Zaghloul

Surgical Neurology Branch, National Institute of Neurological Disorders and Stroke, Bethesda, Maryland

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Sara K. Inati

Sara K. Inati

Electroencephalography Section, National Institute of Neurological Disorders and Stroke, Bethesda, Maryland

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William H. Theodore

William H. Theodore

Clinical Epilepsy Section, National Institute of Neurological Disorders and Stroke, Bethesda, Maryland

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First published: 11 February 2019
Citations: 25

Summary

Objective

To assess the ability of functional MRI (fMRI) to predict postoperative language decline compared to direct cortical stimulation (DCS) in epilepsy surgery patients.

Methods

In this prospective case series, 17 patients with drug-resistant epilepsy had intracranial monitoring and resection from 2012 to 2016 with 1-year follow-up. All patients completed preoperative language fMRI, mapping with DCS of subdural electrodes, pre- and postoperative neuropsychological testing for language function, and resection. Changes in language function before and after surgery were assessed. fMRI activation and DCS electrodes in the resection were evaluated as potential predictors of language decline.

Results

Four of 17 patients (12 female; median [range] age, 43 [23-59] years) experienced postoperative language decline 1 year after surgery. Two of 4 patients had overlap of fMRI activation, language-positive electrodes in basal temporal regions (within 1 cm), and resection. Two had overlap between resection volume and fMRI activation, but not DCS. fMRI demonstrated 100% sensitivity and 46% specificity for outcome compared to DCS (50% and 85%, respectively). When fMRI and DCS language findings were concordant, the combined tests showed 100% sensitivity and 75% specificity for language outcome. Seizure-onset age, resection side, type, volume, or 1 year seizure outcome did not predict language decline.

Significance

Language localization overlap of fMRI and direct cortical stimulation in the resection influences postoperative language performance. Our preliminary study suggests that fMRI may be more sensitive and less specific than direct cortical stimulation. Together they may predict outcome better than either test alone.

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