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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.
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]
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.
In general, fMRI studies acquire both many functional images with fMRI and a structural image with MRI. The structural image is usually of a higher resolution and depends on a different signal, the T1 magnetic field decay after excitation. To demarcate regions of interest in the functional image, one needs to align it with the structural one.
The world record for the spatial resolution of a whole-brain MRI image was a 100-micrometer volume (image) achieved in 2019. The sample acquisition took about 100 hours. [ 2 ] The spatial world record of a whole human brain of any method was an X-ray tomography scan performing at the ESRF (European synchrotron radiation facility), which had a ...
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)