Sentence examples for maximum probability map from inspiring English sources

Using a maximum probability map (MPM), activations were assigned to the most probable histological area at their respective locations.

> The maximum probability map (MPM) reflects the most frequent positions of each area in a sample of ten post-mortem brains.

Last, these probabilistic maps were merged into a maximum probability map (MPM) based on the majority rule (each voxel is assigned to the cluster with the highest probability).

In that approach, a maximum probability map is created of all cytoarchitectonically identified brain areas (BA6 [Brodmann area 6], 44, 45, 1, 2, 3, 4; parietal operculum, inferior parietal lobule; primary visual areas; hippocampus and amygdala).

A "maximum probability map" (MPM) of all early dorsal visual areas was calculated by analyzing the probabilities of all previously delineated occipital area (i.e., the numbers of overlapping representations) in each voxel (Eickhoff et al. 2005, 2007).

The probability maps of all areas in the ventral visual cortex were visualized as a continuous, non-overlapping map of this region by generating a maximum probability map (MPM).

Whole-brain, voxel-wise partial correlation analyses were conducted to determine RSFC of bilateral BLA and SFA seed regions, created using the Eickhoff Zilles maximum probability maps based on cytoarchitectonic mapping and FMRIB's Integrated Registration and Segmentation Tool (FIRS T.

The localization of those parts of the probability maps of the individual brains, which showed a high overlap (low variability, corresponding approximately to the maximum probability maps), coincides nicely with the localization of the area found in every individual brain.

A large anatomical ROI was constructed that consisted of bilateral PAC, defined using the maximum probability maps from the SPM anatomy toolbox (Eickhoff et al. 2005), and the bilateral superior, middle, and inferior temporal gyri taken from the AAL ROI library.

We first identified the cytoarchitectonic localization of each statistically significant [ p (FWE) < .05] GMV cluster detected in the mass-univariate analyses by calculating its overlap with the maximum probability maps (MPMs) of each cytoarchitectonic area (Eickhoff et al. 2005, 2006).

The study of Caspers et al. (2011) defined their ROIs via maximum probability maps, and tracking was performed across an entire cytoarchitectonic region rather than a small area within its centre, as was done in the current study.