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Abstract
Advances in epilepsy treatment are occurring at a rapid pace, and it is challenging for us to keep up with the latest in our field. As we struggle to keep up with the literature and concentrate on our own research and clinical work, we often fail to exercise our imagination and envision what our field will be like in future decades. This was the assignment to the speakers for the Presidential Symposium at the 2016 American Epilepsy Society Annual Meeting. I challenged the experts to step outside the frame of their usual daily work to imagine what epilepsy treatment would and should look like for the next generation of epilepsy specialists and their patients. As you will read in the following sections, the speakers truly stepped up to the challenge to look into the crystal ball. The following are summaries of each lecture that describe the current state, existing cutting edge ideas, and some surprising predictions for the future. I am grateful for the tremendous effort these experts put into this challenge and hope they stimulate your imagination so you will work to bring these advances to our patients.
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Benjamin CF, Walshaw PD, Hale K, Gaillard WD, Baxter LC, Berl MM, Polczynska M, Noble S, Alkawadri R, Hirsch LJ, Constable RT, Bookheimer SY. Presurgical language fMRI: Mapping of six critical regions. Hum Brain Mapp 2017; 38:4239-4255. [PMID: 28544168 PMCID: PMC5518223 DOI: 10.1002/hbm.23661] [Citation(s) in RCA: 65] [Impact Index Per Article: 8.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2016] [Revised: 05/12/2017] [Accepted: 05/15/2017] [Indexed: 02/01/2023] Open
Abstract
Language mapping is a key goal in neurosurgical planning. fMRI mapping typically proceeds with a focus on Broca's and Wernicke's areas, although multiple other language‐critical areas are now well‐known. We evaluated whether clinicians could use a novel approach, including clinician‐driven individualized thresholding, to reliably identify six language regions, including Broca's Area, Wernicke's Area (inferior, superior), Exner's Area, Supplementary Speech Area, Angular Gyrus, and Basal Temporal Language Area. We studied 22 epilepsy and tumor patients who received Wada and fMRI (age 36.4[12.5]; Wada language left/right/mixed in 18/3/1). fMRI tasks (two × three tasks) were analyzed by two clinical neuropsychologists who flexibly thresholded and combined these to identify the six regions. The resulting maps were compared to fixed threshold maps. Clinicians generated maps that overlapped significantly, and were highly consistent, when at least one task came from the same set. Cases diverged when clinicians prioritized different language regions or addressed noise differently. Language laterality closely mirrored Wada data (85% accuracy). Activation consistent with all six language regions was consistently identified. In blind review, three external, independent clinicians rated the individualized fMRI language maps as superior to fixed threshold maps; identified the majority of regions significantly more frequently; and judged language laterality to mirror Wada lateralization more often. These data provide initial validation of a novel, clinician‐based approach to localizing language cortex. They also demonstrate clinical fMRI is superior when analyzed by an experienced clinician and that when fMRI data is of low quality judgments of laterality are unreliable and should be withheld. Hum Brain Mapp 38:4239–4255, 2017. © 2017 Wiley Periodicals, Inc.
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Affiliation(s)
- Christopher F Benjamin
- Department of Neurology, Comprehensive Epilepsy Center, Yale School of Medicine, New Haven, Connecticut.,Department of Neurosurgery, Yale School of Medicine, New Haven, Connecticut
| | - Patricia D Walshaw
- UCLA Department of Psychiatry and Biobehavioral Sciences, Los Angeles, California
| | - Kayleigh Hale
- U.S. Department of Veterans Affairs, War Related Illness and Injury Study Center, Washington, DC
| | - William D Gaillard
- Center for Neuroscience Research, Children's National Health System, Washington, DC
| | - Leslie C Baxter
- Department of Neuroimaging Research, Barrow Neurological Institute, Phoenix, Arizona
| | - Madison M Berl
- Center for Neuroscience Research, Children's National Health System, Washington, DC
| | - Monika Polczynska
- UCLA Department of Psychiatry and Biobehavioral Sciences, Los Angeles, California.,Faculty of English, Adam Mickiewicz University, Poznań, Poland
| | - Stephanie Noble
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, Connecticut
| | - Rafeed Alkawadri
- Department of Neurology, Comprehensive Epilepsy Center, Yale School of Medicine, New Haven, Connecticut
| | - Lawrence J Hirsch
- Department of Neurology, Comprehensive Epilepsy Center, Yale School of Medicine, New Haven, Connecticut
| | - R Todd Constable
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, Connecticut
| | - Susan Y Bookheimer
- UCLA Department of Psychiatry and Biobehavioral Sciences, Los Angeles, California
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Austermuehle A, Cocjin J, Reynolds R, Agrawal S, Sepeta L, Gaillard WD, Zaghloul K, Inati S, Theodore WH. Language functional MRI and direct cortical stimulation in epilepsy preoperative planning. Ann Neurol 2017; 81:526-537. [PMID: 28220524 PMCID: PMC5401636 DOI: 10.1002/ana.24899] [Citation(s) in RCA: 36] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2016] [Revised: 02/13/2017] [Accepted: 02/13/2017] [Indexed: 11/12/2022]
Abstract
OBJECTIVE Presurgical language assessment can help minimize damage to eloquent cortex during resective epilepsy surgery. Two methods for presurgical language mapping are functional MRI (fMRI) and direct cortical stimulation (DCS) of implanted subdural electrodes. We compared fMRI results to DCS to help optimize noninvasive language localization and assess its validity. METHODS We studied 19 patients referred for presurgical evaluation of drug-resistant epilepsy. Patients completed four language tasks during preoperative fMRI. After subdural electrode implantation, we used DCS to localize language areas. For each stimulation site, we determined whether language positive electrode pairs intersected with significant fMRI activity clusters for language tasks. RESULTS Sensitivity and specificity depended on electrode region of interest radii and statistical thresholding. For patients with at least one language positive stimulation site, an auditory description decision task provided the best trade-off between sensitivity and specificity. For patients with no language positive stimulation sites, fMRI was a dependable method of excluding eloquent language processing. INTERPRETATION Language fMRI is an effective tool for determining language lateralization before electrode implantation and is especially useful for excluding unexpected critical language areas. It can help guide subdural electrode implantation and narrow the search for eloquent cortical areas by DCS. Ann Neurol 2017;81:526-537.
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Affiliation(s)
- Alison Austermuehle
- Clinical Epilepsy Section, National Institute of Neurological Disorders and Stroke
| | - John Cocjin
- Surgical Neurology Branch, National Institute of Neurological Disorders and Stroke
| | - Richard Reynolds
- Scientific and Statistical Computing Core, National Institute of Mental Health
| | - Shubhi Agrawal
- Clinical Epilepsy Section, National Institute of Neurological Disorders and Stroke
| | - Leigh Sepeta
- Clinical Epilepsy Section, National Institute of Neurological Disorders and Stroke
| | - William D. Gaillard
- Clinical Epilepsy Section, National Institute of Neurological Disorders and Stroke
| | - Kareem Zaghloul
- Surgical Neurology Branch, National Institute of Neurological Disorders and Stroke
| | - Sara Inati
- Electroencephalography Section, National Institute of Neurological Disorders and Stroke
| | - William H. Theodore
- Clinical Epilepsy Section, National Institute of Neurological Disorders and Stroke
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