William Louis Gross1, Alexander I Helfand2, Sara J Swanson2, Lisa L Conant2, Colin J Humphries2, Manoj Raghavan2, Wade M Mueller2, Robyn M Busch2, Linda Allen2, Christopher Todd Anderson2, Chad E Carlson2, Mark J Lowe2, John T Langfitt2, Madalina E Tivarus2, Daniel L Drane2, David W Loring2, Monica Jacobs2, Victoria L Morgan2, Jane B Allendorfer2, Jerzy P Szaflarski2, Leonardo Bonilha2, Susan Bookheimer2, Thomas Grabowski2, Jennifer Vannest2, Jeffrey R Binder2. 1. From the Departments of Neurology (W.L.G., A.H., S.J.S., L.L.C., C.H., M.R., L.A., C.T.A., C.E.C., J.R.B.), Anesthesiology (W.L.G.), and Neurosurgery (W.M.M.), Medical College of Wisconsin, Milwaukee; Departments of Neurology (R.M.B.) and Radiology (M.J.L.), Cleveland Clinic Foundation, OH; Departments of Neurology (J.T.L.) and Imaging Sciences (M.E.T.), University of Rochester, NY; Departments of Neurology (D.L.D., D.W.L.) and Pediatrics (D.L.D.), Emory University, Atlanta, GA; Department of Neurology (D.L.D., T.G.), University of Washington, Seattle; Departments of Psychology (M.J.) and Radiology (V.L.M.), Vanderbilt University Medical Center, Nashville, TN; Department of Neurology (J.B.A., J.P.S.), University of Alabama at Birmingham; Department of Neurology (L.B.), Medical University of South Carolina, Charleston; Department of Neurology (S.B.), University of California, Los Angeles; and Department of Neurology (J.V.), University of Cincinnati, OH. bgross@mcw.edu. 2. From the Departments of Neurology (W.L.G., A.H., S.J.S., L.L.C., C.H., M.R., L.A., C.T.A., C.E.C., J.R.B.), Anesthesiology (W.L.G.), and Neurosurgery (W.M.M.), Medical College of Wisconsin, Milwaukee; Departments of Neurology (R.M.B.) and Radiology (M.J.L.), Cleveland Clinic Foundation, OH; Departments of Neurology (J.T.L.) and Imaging Sciences (M.E.T.), University of Rochester, NY; Departments of Neurology (D.L.D., D.W.L.) and Pediatrics (D.L.D.), Emory University, Atlanta, GA; Department of Neurology (D.L.D., T.G.), University of Washington, Seattle; Departments of Psychology (M.J.) and Radiology (V.L.M.), Vanderbilt University Medical Center, Nashville, TN; Department of Neurology (J.B.A., J.P.S.), University of Alabama at Birmingham; Department of Neurology (L.B.), Medical University of South Carolina, Charleston; Department of Neurology (S.B.), University of California, Los Angeles; and Department of Neurology (J.V.), University of Cincinnati, OH.
Abstract
BACKGROUND AND OBJECTIVES: Naming decline after left temporal lobe epilepsy (TLE) surgery is common and difficult to predict. Preoperative language fMRI may predict naming decline, but this application is still lacking evidence. We performed a large multicenter cohort study of the effectiveness of fMRI in predicting naming deficits after left TLE surgery. METHODS: At 10 US epilepsy centers, 81 patients with left TLE were prospectively recruited and given the Boston Naming Test (BNT) before and ≈7 months after anterior temporal lobectomy. An fMRI language laterality index (LI) was measured with an auditory semantic decision-tone decision task contrast. Correlations and a multiple regression model were built with a priori chosen predictors. RESULTS: Naming decline occurred in 56% of patients and correlated with fMRI LI (r = -0.41, p < 0.001), age at epilepsy onset (r = -0.30, p = 0.006), age at surgery (r = -0.23, p = 0.039), and years of education (r = 0.24, p = 0.032). Preoperative BNT score and duration of epilepsy were not correlated with naming decline. The regression model explained 31% of the variance, with fMRI contributing 14%, with a 96% sensitivity and 44% specificity for predicting meaningful naming decline. Cross-validation resulted in an average prediction error of 6 points. DISCUSSION: An fMRI-based regression model predicted naming outcome after left TLE surgery in a large, prospective multicenter sample, with fMRI as the strongest predictor. These results provide evidence supporting the use of preoperative language fMRI to predict language outcome in patients undergoing left TLE surgery. CLASSIFICATION OF EVIDENCE: This study provides Class I evidence that fMRI language lateralization can help in predicting naming decline after left TLE surgery.
BACKGROUND AND OBJECTIVES: Naming decline after left temporal lobe epilepsy (TLE) surgery is common and difficult to predict. Preoperative language fMRI may predict naming decline, but this application is still lacking evidence. We performed a large multicenter cohort study of the effectiveness of fMRI in predicting naming deficits after left TLE surgery. METHODS: At 10 US epilepsy centers, 81 patients with left TLE were prospectively recruited and given the Boston Naming Test (BNT) before and ≈7 months after anterior temporal lobectomy. An fMRI language laterality index (LI) was measured with an auditory semantic decision-tone decision task contrast. Correlations and a multiple regression model were built with a priori chosen predictors. RESULTS: Naming decline occurred in 56% of patients and correlated with fMRI LI (r = -0.41, p < 0.001), age at epilepsy onset (r = -0.30, p = 0.006), age at surgery (r = -0.23, p = 0.039), and years of education (r = 0.24, p = 0.032). Preoperative BNT score and duration of epilepsy were not correlated with naming decline. The regression model explained 31% of the variance, with fMRI contributing 14%, with a 96% sensitivity and 44% specificity for predicting meaningful naming decline. Cross-validation resulted in an average prediction error of 6 points. DISCUSSION: An fMRI-based regression model predicted naming outcome after left TLE surgery in a large, prospective multicenter sample, with fMRI as the strongest predictor. These results provide evidence supporting the use of preoperative language fMRI to predict language outcome in patients undergoing left TLE surgery. CLASSIFICATION OF EVIDENCE: This study provides Class I evidence that fMRI language lateralization can help in predicting naming decline after left TLE surgery.
Authors: Jeffrey R Binder; Jia-Qing Tong; Sara B Pillay; Lisa L Conant; Colin J Humphries; Manoj Raghavan; Wade M Mueller; Robyn M Busch; Linda Allen; William L Gross; Christopher T Anderson; Chad E Carlson; Mark J Lowe; John T Langfitt; Madalina E Tivarus; Daniel L Drane; David W Loring; Monica Jacobs; Victoria L Morgan; Jane B Allendorfer; Jerzy P Szaflarski; Leonardo Bonilha; Susan Bookheimer; Thomas Grabowski; Jennifer Vannest; Sara J Swanson Journal: Epilepsia Date: 2020-08-11 Impact factor: 5.864
Authors: Elisabeth M S Sherman; Samuel Wiebe; Taryn B Fay-McClymont; Jose Tellez-Zenteno; Amy Metcalfe; Lisbeth Hernandez-Ronquillo; Walter J Hader; Nathalie Jetté Journal: Epilepsia Date: 2011-03-22 Impact factor: 5.864
Authors: Jeffrey R Binder; William L Gross; Jane B Allendorfer; Leonardo Bonilha; Jessica Chapin; Jonathan C Edwards; Thomas J Grabowski; John T Langfitt; David W Loring; Mark J Lowe; Katherine Koenig; Paul S Morgan; Jeffrey G Ojemann; Christopher Rorden; Jerzy P Szaflarski; Madalina E Tivarus; Kurt E Weaver Journal: Neuroimage Date: 2010-09-25 Impact factor: 6.556
Authors: Elisabeth Schmid; Aljoscha Thomschewski; Alexandra Taylor; Georg Zimmermann; Margarita Kirschner; Teia Kobulashvili; Francesco Brigo; Matea Rados; Christoph Helmstaedter; Kees Braun; Eugen Trinka Journal: Epilepsia Date: 2018-10-30 Impact factor: 6.740
Authors: C Rosazza; F Ghielmetti; L Minati; P Vitali; A R Giovagnoli; F Deleo; G Didato; A Parente; C Marras; M G Bruzzone; L D'Incerti; R Spreafico; F Villani Journal: Neuroimage Clin Date: 2013-07-11 Impact factor: 4.881