Overview of Functional Magnetic Resonance Imaging
By Gary H. Glover. Neurosurgery clinics of North America, 2011
907 citations recorded by the source corpus.
Synopsis Blood Oxygen Level Dependent (BOLD) functional magnetic resonance imaging (fMRI) depicts changes in deoxyhemoglobin concentration consequent to task-induced or spontaneous modulation of neural metabolism. Since its inception in 1990, this method has been widely employed in thousands of studies of cognition for clinical applications such as surgical planning, for monitoring treatment outcomes, and as a biomarker in pharmacologic and training programs. Technical developments have solved most of the challenges of applying fMRI in practice. These challenges include low contrast to noise ratio of BOLD signals, image distortion, and signal dropout. More recently, attention is turning to the use of pattern classification and other statistical methods to draw increasingly complex inferences about cognitive brain states from fMRI data. This paper reviews the methods, some of the challenges and the future of fMRI.
Subfields: Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging
View Paper: https://www.semanticscholar.org/paper/b14bcfd947a42b64b08d6ee3e45490d6b3cc4e45
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In Cognitive Neuroscience
In Radiology, Nuclear Medicine and Imaging
Citations in the corpus
- Impacts of technology use on children (2019, background): “…fMRI allows for detection of brain activity as shown through changes in local cerebral blood flow and from changes in oxygenation concentration (Glover, 2011[46]). fMRI is a non-invasive way of examining the central nervous system, and can provide researchers and clinicians with high…”
- Simultaneous invasive and non-invasive recordings in humans: A novel Rosetta stone for deciphering brain activity (2024, unknown): “…offered crucial insight into the behavior of different neural subtypes (such as excitatory and inhibitory cells) during seizures and IEDs, revealing how seizures arise from underlying neural activity (Agopyan-Miu et al., 2023; Keller et al., 2010; Schevon et al., 2012; Truccolo et al., 2014, 2011).”