Sentence examples for brain voxels using the from inspiring English sources

The parameter estimates were calculated for all brain voxels using the general linear model.

The parameter estimates were calculated for all brain voxels using the general linear model, and contrast images comparing each condition against fixation (i.e., the baseline) were computed [Friston et al., 1995b].

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.

The volumes were first realigned, corrected for different slice acquisition times, normalized into 2 mm cubic voxels, using the Montreal Neurological Institute reference brain, by fourth-degree B-spine interpolation, and smoothed with an isotropic 8-mm full-width at half-maximum Gaussian kernel.

Here, we investigated the functional connectivity between homotopic points in the brain using the voxel-mirrored homotopic connectivity (VMHC) approach.

Probability density functions on up to two principal fibre directions were estimated at each voxel in the brain using the Bayesian estimation of diffusion parameters obtained using sampling techniques toolbox (BEDPOSTX; Behrens et al. 2007) implemented in FSL.

The process is briefly summarized as follows: (1) The T1-weighted images were segmented into GM, white matter (WM) and non-brain voxels (cerebrospinal fluid, skull) using the 'new-segment' routine implemented in SPM8 [24].

For the analysis of the functional couplings between LPFC and any other voxel in the brain, we used the psychophysiological interaction (PPI) framework implemented in SPM8 (Friston et al., 1997; Gitelman, Penny, Ashburner, & Friston, 2003) in its generalized form proposed recently (McLaren, Ries, Xu, & Johnson, 2012).

The mean and standard deviation was measured four times, as follows: (1) all voxels inside the brain mask determined by using the Otsu's thresholding technique, without removal of the CSF or vessels; (2) the brain mask after CSF voxel removal; (3) the brain mask after vessel voxel removal; and (4) the brain mask after removal of both the CSF and vessel voxels.

After calculating these two scaling factors, the CBV and CBF values were calculated from the rCBV and rCBF values for all voxels inside the brain mask determined by using the Otsu's technique.

Before averaging individual voxel data, the waveform of each brain voxel was filtered using a bandpass filter (0.008 < f < 0.09) to reduce the effect of low-frequency drift and high-frequency noise.