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Magnetoencephalography (MEG) is a functional neuroimaging technique for mapping brain activity by recording magnetic fields produced by electrical currents occurring naturally in the brain, using very sensitive magnetometers.
Initiated in 2006 and currently funded by NIH Grant number: 1R24EB029173, [1] [2] NITRC's mission is to provide a user-friendly knowledge environment that enables the distribution, enhancement, and adoption of neuroimaging tools and resources and has expanded from MR to Imaging Genomics, EEG/MEG, PET/SPECT, CT, optical imaging, clinical neuroinformatics, and computational neuroscience.
All neuroimaging is considered part of brain mapping. Brain mapping can be conceived as a higher form of neuroimaging, producing brain images supplemented by the result of additional (imaging or non-imaging) data processing or analysis, such as maps projecting (measures of) behavior onto brain regions (see fMRI).
Functional magnetic resonance imaging data. Functional neuroimaging is the use of neuroimaging technology to measure an aspect of brain function, often with a view to understanding the relationship between activity in certain brain areas and specific mental functions.
EEG-fMRI (short for EEG-correlated fMRI or electroencephalography-correlated functional magnetic resonance imaging) is a multimodal neuroimaging technique whereby EEG and fMRI data are recorded synchronously for the study of electrical brain activity in correlation with haemodynamic changes in brain during the electrical activity, be it normal function or associated with disorders.
Neuroimaging is the use of quantitative (computational) techniques to study the structure and function of the central nervous system, developed as an objective way of scientifically studying the healthy human brain in a non-invasive manner. Increasingly it is also being used for quantitative research studies of brain disease and psychiatric ...
MRI, fMRI, MEG data for ~700 population-derived healthy adults aged 18–88 Human Macroscopic Images, Descriptive, Numerical Healthy No [18] The Cancer Imaging Archive MRI, CT, and PET imaging of cancer patients with supporting clinical data (in many cases) Human Macroscopic Images, Descriptive, Numerical Cancer No [19]
Seed-based d mapping (previously signed differential mapping, SDM): a method for conducting meta-analyses of voxel-based neuroimaging studies. The Spinal Cord Toolbox (SCT) is the first comprehensive and open-source software for processing MR images of the spinal cord. [4] Statistical parametric mapping (SPM)