Volume 60, Issue 3 pp. 527-538
FULL-LENGTH ORIGINAL RESEARCH

fMRI prediction of naming change after adult temporal lobe epilepsy surgery: Activation matters

Xiaozhen You

Xiaozhen You

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

Center for Neuroscience, Children's National Hospital System, Washington, District of Columbia

Psychology, Georgetown University, Washington, District of Columbia

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Ashley N. Zachery

Ashley N. Zachery

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

Center for Neuroscience, Children's National Hospital System, Washington, District of Columbia

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Eleanor J. Fanto

Eleanor J. Fanto

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

Center for Neuroscience, Children's National Hospital System, Washington, District of Columbia

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Gina Norato

Gina Norato

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

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Sierra C. Germeyan

Sierra C. Germeyan

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

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Eric J. Emery

Eric J. Emery

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

Center for Neuroscience, Children's National Hospital System, Washington, District of Columbia

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Leigh N. Sepeta

Leigh N. Sepeta

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

Center for Neuroscience, Children's National Hospital System, Washington, District of Columbia

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Madison M. Berl

Madison M. Berl

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

Center for Neuroscience, Children's National Hospital System, Washington, District of Columbia

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Chelsea L. Black

Chelsea L. Black

Center for Neuroscience, Children's National Hospital System, Washington, District of Columbia

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Edythe Wiggs

Edythe Wiggs

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

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Kareem Zaghloul

Kareem Zaghloul

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

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Sara K. Inati

Sara K. Inati

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

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William D. Gaillard

William D. Gaillard

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

Center for Neuroscience, Children's National Hospital System, Washington, District of Columbia

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William H. Theodore

Corresponding Author

William H. Theodore

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

Correspondence

William H. Theodore, Clinical Epilepsy Section, National Institute of Neurological Disorders and Stroke, Bethesda, MD.

Email: [email protected]

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First published: 11 February 2019
Citations: 28

Summary

Objective

We aimed to predict language deficits after epilepsy surgery. In addition to evaluating surgical factors examined previously, we determined the impact of the extent of functional magnetic resonance imaging (fMRI) activation that was resected on naming ability.

Method

Thirty-five adults (mean age 37.5 ± 10.9 years, 13 male) with temporal lobe epilepsy completed a preoperative fMRI auditory description decision task, which reliably activates frontal and temporal language networks. Patients underwent temporal lobe resections (20 left resection). The Boston Naming Test (BNT) was used to determine language functioning before and after surgery. Language dominance was determined for Broca and Wernicke area (WA) by calculating a laterality index following statistical parametric mapping processing. We used an innovative method to generate anatomic resection masks automatically from pre- and postoperative MRI tissue map comparison. This mask provided the following: (a) resection volume; (b) overlap between resection and preoperative activation; and (c) overlap between resection and WA. We examined postoperative language change predictors using stepwise linear regression. Predictors included parameters described above as well as age at seizure onset (ASO), preoperative BNT score, and resection side and its relationship to language dominance.

Results

Seven of 35 adults had significant naming decline (6 dominant-side resections). The final regression model predicted 38% of the naming score change variance (adjusted r= 0.28, P = 0.012). The percentage of top 10% fMRI activation resected (P = 0.017) was the most significant contributor. Other factors in the model included WA LI, ASO, volume of WA resected, and WA LI absolute value (extent of laterality).

Significance

Resection of fMRI activation during a word-definition decision task is an important factor for postoperative change in naming ability, along with other previously reported predictors. Currently, many centers establish language dominance using fMRI. Our results suggest that the amount of the top 10% of language fMRI activation in the intended resection area provides additional predictive power and should be considered when planning surgical resection.

DISCLOSURE

None of the authors have any conflict of interest to disclose. We have confirmed that we have read Journal's position on issues involved in ethical publication and affirm that this report is consistent with those guidelines.

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