Rachel Rolinski1, Alison Austermuehle1, Edythe Wiggs1, Shubhi Agrawal1,2, Leigh N Sepeta1,3, William D Gaillard1,3, Kareem A Zaghloul4, Sara K Inati5, William H Theodore1. 1. Clinical Epilepsy Section, National Institute of Neurological Disorders and Stroke, Bethesda, Maryland. 2. Berman Brain & Spine Institute, Baltimore, Maryland. 3. Department of Neurology, Children's National Medical Center, Washington, District of Columbia. 4. Surgical Neurology Branch, National Institute of Neurological Disorders and Stroke, Bethesda, Maryland. 5. Electroencephalography Section, National Institute of Neurological Disorders and Stroke, Bethesda, Maryland.
Abstract
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. Published 2019. This article is a U.S. Government work and is in the public domain in the USA.
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. Published 2019. This article is a U.S. Government work and is in the public domain in the USA.
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Authors: Rachel Rolinski; Xiaozhen You; Javier Gonzalez-Castillo; Gina Norato; Richard C Reynolds; Sara K Inati; William H Theodore Journal: Hum Brain Mapp Date: 2020-04-24 Impact factor: 5.038