Advances in brain mapping including functional magnetic resonance imaging (fMRI) have increased our understanding of functional brain organization. Particularly relevant for clinical applications, fMRI has proven a useful and valid method for mapping of individual brain function and is increasingly being adopted as a pre-surgical tool to guide neurosurgical decision-making. fMRI now carries a clinical billing code reflecting its utility in minimizing the use of more invasive brain mapping techniques such as the intracarotid amytal test (Wada test) for language lateralization and intra- operative electrocortical stimulation (ECS) for localization of critical brain regions. Traditional fMRI requires that the subject perform a behavioral task of interest and uses correlations between task timing and signal changes to demonstrate brain areas involved in the performance of that task. Recent studies have investigated functional connectivity of brain regions as a method to functionally categorize brain regions, even during resting states. The use of fMRI data acquired during rest could offer numerous advantages if it is found to be valid and reliable. Compared to task-based fMRI that requires an expert neuropsychologist to administer and score the behavioral paradigm, resting-state fMRI could be acquired by a greater range of professionals thereby making it more broadly available and cost-effective. Resting-state fMRI does not require active subject participation and may thus be particularly well-suited to patients who may have neurological deficits. Investigating functional connectivity in patients undergoing neurosurgery for brain lesions may also provide insights into the changes in brain functional organization that accompany brain injury and recovery. During the award period the research team will acquire resting-state and task-based language fMRI in 15 brain tumors patients undergoing neurosurgical evaluation and treatment. We will develop functional connectivity MRI approaches to map language function at the individual subject level. The proposed experiments will evaluate test-retest reliability and validity of resting-state fMRI for language mapping against clinical god-standard techniques in individual patients. Our hypothesis is that resting-state fMRI is reliable for language mapping, and in agreement with task-based language fMRI, Wada and ECS testing. Our goal is to improve fMRI language mapping for brain tumor surgery, and to create an easily administered test which could help standardize fMRI studies across institutions. This exploratory project will generate valuable preliminary data for larger multi-center validation of resting- state fMRI in image-guide brain tumor surgery.

Public Health Relevance

Our goal is to develop an improved method to map critical language areas in brain tumor patients using functional Magnetic Resonance Imaging (fMRI) to help neurosurgeons perform more effective and safer brain surgeries. To overcome some of the difficulties associated with current practice, in which the patient needs to perform many repetitions of complex language tasks, we will evaluate reliability and validity of a resting-state condition in which the patient only needs to rest while in the MRI scanner, comparing this approach with task-based fMRI and the clinical gold-standard tests. This translational research will help more brain tumor patients benefit from functional MRI language mapping, and help standardize and compare functional MRI studies across centers.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Exploratory/Developmental Grants (R21)
Project #
5R21CA198740-02
Application #
9089962
Study Section
Special Emphasis Panel (ZCA1)
Program Officer
Farahani, Keyvan
Project Start
2015-07-01
Project End
2017-06-30
Budget Start
2016-07-01
Budget End
2017-06-30
Support Year
2
Fiscal Year
2016
Total Cost
Indirect Cost
Name
Brigham and Women's Hospital
Department
Type
DUNS #
030811269
City
Boston
State
MA
Country
United States
Zip Code
Albi, Angela; Meola, Antonio; Zhang, Fan et al. (2018) Image Registration to Compensate for EPI Distortion in Patients with Brain Tumors: An Evaluation of Tract-Specific Effects. J Neuroimaging 28:173-182
Silva, Michael A; See, Alfred P; Essayed, Walid I et al. (2018) Challenges and techniques for presurgical brain mapping with functional MRI. Neuroimage Clin 17:794-803
Essayed, Walid I; Zhang, Fan; Unadkat, Prashin et al. (2017) White matter tractography for neurosurgical planning: A topography-based review of the current state of the art. Neuroimage Clin 15:659-672
O'Donnell, Lauren J; Suter, Yannick; Rigolo, Laura et al. (2017) Automated white matter fiber tract identification in patients with brain tumors. Neuroimage Clin 13:138-153
Incekara, Fatih; Olubiyi, Olutayo; Ozdemir, Aysegul et al. (2016) The Value of Pre- and Intraoperative Adjuncts on the Extent of Resection of Hemispheric Low-Grade Gliomas: A Retrospective Analysis. J Neurol Surg A Cent Eur Neurosurg 77:79-87
Geddes, Maiya R; Tie, Yanmei; Gabrieli, John D E et al. (2016) Altered functional connectivity in lesional peduncular hallucinosis with REM sleep behavior disorder. Cortex 74:96-106
Tie, Yanmei; Rigolo, Laura; Ozdemir Ovalioglu, Aysegul et al. (2015) A New Paradigm for Individual Subject Language Mapping: Movie-Watching fMRI. J Neuroimaging 25:710-20