The best hope for survival and improved quality of life in patients with epilepsy is to remove of as much of the lesion causing seizures as possible, while preserving as much normal functioning brain as possible. Currently, presurgical mapping of patients with epilepsy requires a multi-layered approach that involves several different procedures and tests. Many young children cannot have presurgical mapping due to the inability to follow tasks and often need anesthesia for a MRI. We hope to develop a neuroimaging method that can be performed in virtually any patient that maps all relevant eloquent cortex-including the motor system, language systems, and memory systems-in about 10 minutes, and without the need of patient active participation. We hypothesize that essential areas of cortex can be accurately mapped based on intrinsic functional connectivity using functional connectivity magnetic resonance imaging (fcMRI). While at rest, and even under anestheisa, patient compliance will not be required and a single, simple procedure could be used for functional mapping of specific neural systems. This technique makes it possible to map language, memory, and motor systems in patients who might have difficulty following English directions, such as children, the developmentally impaired, and even people who are unconscious. This type of neuroimaging may lead to a new language and memory lateralization technique, and might be useful when the traditional invasive Wada test and invasive brain mapping are not possible. Here, we propose a plan to develop the technique in healthy subjects and then validate it in patients who undergo surgery to correct their epilepsy. This project proposes a new approach for presurgical mapping for epilepsy patients that, if successful, would allow presurgical functional neuroimaging in patients who currently are unable to have functional mapping.

Public Health Relevance

Epilepsy affects about 1.5 million people in the United States. The goal of this project is to use a new method of imaging to locate the site in the brain where the seizures originate. Further, with the same test, determine where language, memory and motor function are in the brain. This test will be performed on a standard magnetic resonance imaging scanner (MRI) that is widely available in the United State. After a ten minute scan, it will give a neurosurgeon the complete map of the brain for surgical treatment of epilepsy.

Agency
National Institute of Health (NIH)
Institute
National Institute of Neurological Disorders and Stroke (NINDS)
Type
Research Project (R01)
Project #
1R01NS069696-01A1
Application #
8104591
Study Section
Special Emphasis Panel (ZRG1-NT-B (09))
Program Officer
Babcock, Debra J
Project Start
2011-06-15
Project End
2016-05-31
Budget Start
2011-06-15
Budget End
2012-05-31
Support Year
1
Fiscal Year
2011
Total Cost
$613,094
Indirect Cost
Name
Massachusetts General Hospital
Department
Type
DUNS #
073130411
City
Boston
State
MA
Country
United States
Zip Code
02199
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Tanaka, Naoaki; Papadelis, Christos; Tamilia, Eleonora et al. (2018) Magnetoencephalographic Mapping of Epileptic Spike Population Using Distributed Source Analysis: Comparison With Intracranial Electroencephalographic Spikes. J Clin Neurophysiol 35:339-345
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Douw, Linda; Leveroni, Catherine L; Tanaka, Naoaki et al. (2016) Correction: Loss of Resting-State Posterior Cingulate Flexibility Is Associated with Memory Disturbance in Left Temporal Lobe Epilepsy. PLoS One 11:e0148664
Meier, Jil; Tewarie, Prejaas; Hillebrand, Arjan et al. (2016) A Mapping Between Structural and Functional Brain Networks. Brain Connect 6:298-311
DeSalvo, Matthew N; Tanaka, Naoaki; Douw, Linda et al. (2016) Resting-State Functional MR Imaging for Determining Language Laterality in Intractable Epilepsy. Radiology 281:264-9
Tanaka, Naoaki; Stufflebeam, Steven M (2016) Presurgical Mapping of the Language Network Using Resting-state Functional Connectivity. Top Magn Reson Imaging 25:19-24
Douw, Linda; Wakeman, Daniel G; Tanaka, Naoaki et al. (2016) State-dependent variability of dynamic functional connectivity between frontoparietal and default networks relates to cognitive flexibility. Neuroscience 339:12-21

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