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Journal ArticleDOI

Localizing hand motor area using resting-state fMRI: validated with direct cortical stimulation.

TLDR
R-fMRI sensitivity and specificity are high for localizing hand motor area and even equivalent or slightly higher compared with T-f MRI, given its convenience for patients.
Abstract
Resting-state functional magnetic resonance imaging (R-fMRI) is a promising tool in clinical application, especially in presurgical mapping for neurosurgery. This study aimed to investigate the sensitivity and specificity of R-fMRI in the localization of hand motor area in patients with brain tumors validated by direct cortical stimulation (DCS). We also compared this technique to task-based blood oxygenation level-dependent (BOLD) fMRI (T-fMRI). R-fMRI and T-fMRI were acquired from 17 patients with brain tumors. The cortex sites of the hand motor area were recorded by DCS. Site-by-site comparisons between R-fMRI/T-fMRI and DCS were performed to calculate R-fMRI and T-fMRI sensitivity and specificity using DCS as a “gold standard”. R-fMRI and T-fMRI performances were compared statistically A total of 609 cortex sites were tested with DCS and compared with R-fMRI findings in 17 patients. For hand motor area localization, R-fMRI sensitivity and specificity were 90.91 and 89.41 %, respectively. Given that two subjects could not comply with T-fMRI, 520 DCS sites were compared with T-fMRI findings in 15 patients. The sensitivity and specificity of T-fMRI were 78.57 and 84.76 %, respectively. In the 15 patients who successfully underwent both R-fMRI and T-fMRI, there was no statistical difference in sensitivity or specificity between the two methods (p = 0.3198 and p = 0.1431, respectively) R-fMRI sensitivity and specificity are high for localizing hand motor area and even equivalent or slightly higher compared with T-fMRI. Given its convenience for patients, R-fMRI is a promising substitute for T-fMRI for presurgical mapping

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Journal ArticleDOI

Functional MRI for Surgery of Gliomas

TL;DR: Noninvasive functional MRI techniques may offer the opportunity to perform a multimodal assessment in brain tumors, to be integrated with intraoperative mapping and clinical data for improving surgical management and oncological and functional outcome in patients affected by gliomas.
Journal ArticleDOI

Comparison between resting state fMRI networks and responsive cortical stimulations in glioma patients.

TL;DR: To validate the functional relevance of resting state networks (RSNs) by means of a comparison of restingState connectivity between language regions elicited by direct cortical stimulation versus RSC between random regions and to evaluate the accuracy of restingstate fMRI in surgical planning by assessing the overlap between RSNs and intraoperative functional mapping results.
Journal ArticleDOI

How much is enough-Can resting state fMRI provide a demarcation for neurosurgical resection in glioma?

TL;DR: There is a potential clinical utility of rs‐fMRI for identifying the functional brain network disruptions occurring in the setting of gliomas and further studies utilizing standardized analytical methods are required to elucidate the mechanism through which glioma induce global changes in brain connectivity.
Journal ArticleDOI

Limitations of functional neuroimaging for patient selection and surgical planning in glioma surgery.

TL;DR: Faces of functional neuroimaging techniques that may limit their impact on neurosurgical oncology and critically evaluate the evidence supporting fMRI and DTI for patient selection and operative planning in glioma surgery are described.
References
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Journal ArticleDOI

Functional connectivity in the motor cortex of resting human brain using echo-planar MRI.

TL;DR: It is concluded that correlation of low frequency fluctuations, which may arise from fluctuations in blood oxygenation or flow, is a manifestation of functional connectivity of the brain.
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Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging.

TL;DR: Recent studies examining spontaneous fluctuations in the blood oxygen level dependent (BOLD) signal of functional magnetic resonance imaging as a potentially important and revealing manifestation of spontaneous neuronal activity are reviewed.
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DPARSF: A MATLAB Toolbox for “Pipeline” Data Analysis of Resting-State fMRI

TL;DR: A MATLAB toolbox called Data Processing Assistant for Resting-State fMRI (DPARSF) for "pipeline" data analysis of resting-state fMRI is developed and users can use DPARSF to extract time courses from regions of interest.
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Spontaneous neuronal activity distinguishes human dorsal and ventral attention systems

TL;DR: It is demonstrated that the neuroanatomical substrates of human attention persist in the absence of external events, reflected in the correlation structure of spontaneous activity.
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REST: A Toolkit for Resting-State Functional Magnetic Resonance Imaging Data Processing

TL;DR: A toolkit for the analysis of RS-fMRI data, namely the RESting-state fMRI data analysis Toolkit (REST), which was developed in MATLAB with graphical user interface (GUI).
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