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Independent component analysis (ICA) is a widely accepted method to extract brain networks underlying cognitive processes from functional magnetic resonance imaging (fMRI) data.
A template of regions of interest (ROIs) [15] was used to extract brain time-activity curves for the following 13 regions: anterior and posterior cingulate cortices, caudate, putamen, thalamus, pons, cerebellum, hippocampus, parahippocampus, and the prefrontal, parietal, temporal, and occipital cortices.
(2012) developed and evaluated several models to extract brain region connectivity.
Stimulation of TLR9 signaling significantly decreased total (FA extract) and soluble (DEA extract) brain Aβ levels in 3xTg-AD mice, in both study groups.
In order to remove non-brain tissue components and background noise, a brain mask was created from the first b0 image and then applied in the DTI to extract brain voxels using Brain Extraction Tool.
Proton density (PD /T2 images were used collectively to extract brain and subdural/ventricular cerebrospinal fluid (CSF), then the masked T1 was segmented using a T1-based protocol whereby local intensity histograms are fitted to four Gaussian curves to derive cut-offs for classifying each voxel as white matter, grey matter or CSF [ 39].
Similar(49)
Based on the extracted brain surface, the mid-sagittal plane was determined.
The preprocessing step and extracting brain regions time series were done via SPM 12, DPARSF 4.3, and MATLAB codes.
The extracted brain tissue from mice injected with Apt-MNC was dehydrated in increasing alcohol concentrations, cleared in xylene, and embedded in paraffin.
The present study addresses benefits of a linear optimal filter (OF) for independent component analysis (ICA) in extracting brain event-related potentials (ERPs).
Møller's co-author, Johannes Erritzøe, a taxidermist and ornithologist at the House of Bird Research in Christiansfeld, Denmark, autopsied each bird, noted its mass, and weighed its extracted brain.
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