Neuroimaging clinics of North America
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Neuroimaging Clin. N. Am. · Nov 2017
ReviewApplication of Resting State Functional MR Imaging to Presurgical Mapping: Language Mapping.
Resting state functional MR imaging (rs-fMR imaging) has become an indispensable tool for examining brain function. The greatest opportunity to translate rs-fMR imaging from the research domain into clinical use is as a tool for examining intrinsic brain networks for preoperative planning. Many studies have demonstrated concordance of intrinsic motor networks from rs-fMR imaging data with task-fMR imaging and direct cortical stimulation. Earlier reports show concordance of language networks as well, although more recent studies with larger numbers of subjects demonstrate subject-level variability that needs to be further investigated and addressed before widespread implementation of rs-fMR imaging for preoperative planning.
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Neuroimaging Clin. N. Am. · Nov 2017
ReviewResting-state Functional Magnetic Resonance Imaging in Presurgical Functional Mapping: Sensorimotor Localization.
This article compares resting-state functional magnetic resonance (fMR) imaging with task fMR imaging for presurgical functional mapping of the sensorimotor (SM) region. Before tumor resection, 38 patients were scanned using both methods. ⋯ A paired t-test showed higher overlap between resting-state maps and anatomic references compared with task activation when using a maximal overlap criterion. Resting state-derived maps are more comprehensive than those derived from task fMR imaging.
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Neuroimaging Clin. N. Am. · Nov 2017
ReviewLimitations of Resting-State Functional MR Imaging in the Setting of Focal Brain Lesions.
Methods of image acquisition and analysis for resting-state functional MR imaging (rsfMR imaging) are still evolving. Neurovascular uncoupling and susceptibility artifact are important confounds of rsfMR imaging in the setting of focal brain lesions such as brain tumors. This article reviews the detection of these confounds using rsfMR imaging metrics in the setting of focal brain lesions. In the near future, with the wide range of ongoing research in rsfMR imaging, these issues likely will be overcome and will open new windows into brain function and connectivity.
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Neuroimaging Clin. N. Am. · Nov 2017
ReviewApplications of Resting-State Functional MR Imaging to Epilepsy.
We discuss the value of resting-state functional MR imaging (rsfMR imaging) as an emerging technique to address questions about memory and language that are central in surgery for temporal-lobe epilepsy, namely the identification and characterization of eloquent cortex to avoid surgical morbidity. The emergence of a robust set of data using rsfMR imaging has opened new avenues for exploring more direct relationships between neural networks and current cognitive function and prediction of postoperative change. These techniques are also being explored for their potential to characterize epilepsy subtypes, identify epileptic foci, and monitor treatment effects.
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Neuroimaging Clin. N. Am. · Nov 2017
ReviewMachine Learning Applications to Resting-State Functional MR Imaging Analysis.
Machine learning is one of the most exciting and rapidly expanding fields within computer science. Academic and commercial research entities are investing in machine learning methods, especially in personalized medicine via patient-level classification. There is great promise that machine learning methods combined with resting state functional MR imaging will aid in diagnosis of disease and guide potential treatment for conditions thought to be impossible to identify based on imaging alone, such as psychiatric disorders. We discuss machine learning methods and explore recent advances.