Journal
STEREOTACTIC AND FUNCTIONAL NEUROSURGERY
Volume 93, Issue 6, Pages 427-439Publisher
KARGER
DOI: 10.1159/000442424
Keywords
Functional MRI; Resting-state functional MRI; Resting state networks; Multilayer perceptron
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Funding
- Washington University Department of Neurosurgery
- NATIONAL INSTITUTE OF MENTAL HEALTH [F30MH099877] Funding Source: NIH RePORTER
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Currently, functional magnetic resonance imaging (fMRI) facilitates a preoperative awareness of an association of an eloquent region with a tumor. This information gives the neurosurgeon helpful information that can aid in creating a surgical strategy. Typically, task-based fMRI has been employed to preoperatively localize speech and motor function. Task-based fMRI depends on the patient's ability to comply with the task paradigm, which often is impaired in the setting of a brain tumor. This problem is overcome by using resting-state fMRI (rs-fMRI) to localize function. rs-fMRI measures spontaneous fluctuations in the blood oxygen level-dependent (BOLD) signal, representing the brain's functional organization. In a neurosurgical context, it allows noninvasive simultaneous assessment of multiple large-scale distributed networks. Compared with task-related fMRI, rsfMRI provides more comprehensive information on the functional architecture of the brain and is applicable in settings where task-related fMRI may provide inadequate information or could not be performed. Taken together, rs-fMRI substantially expands the preoperative mapping capability in efficiency, effectiveness, and scope. In this article, a brief introduction into rs-fMRI processing methods is followed by a detailed discussion on the role rs-fMRI plays in presurgical planning. (C) 2016 S. Karger AG, Basel
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