Neuroimaging clinics of North America
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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
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.
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Neuroimaging Clin. N. Am. · Nov 2017
ReviewApplications of Resting State Functional MR Imaging to Traumatic Brain Injury.
Traumatic brain injury (TBI) is an important public health issue. TBI includes a broad spectrum of injury severities and abnormalities. ⋯ Specifically, graph theory is being used to study the change in networks after TBI. Machine learning methods allow researchers to build models capable of predicting injury severity and recovery trajectories.
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Neuroimaging Clin. N. Am. · Nov 2017
ReviewApplications of Resting State Functional MR Imaging to Neuropsychiatric Diseases.
Resting state studies in neuropsychiatric disorders have already provided much useful information, but the field is regarded as being at a relatively preliminary stage and subject to several design issues that set limits on the overall utility.