Multimodal Image Coregistration and Partitioning—A Unified Framework

TL;DR: Disrupted excitation-inhibition balance in cognitively normal individuals at risk of Alzheimer’s disease is sex-dependent, with significant alterations in males and females with increasing age and APOE-ɛ4 allele carriers.

TL;DR: It is shown that different fronto-parietal circuits plan the same action, by a relative emphasis on either selecting a sequence of movements to achieve a desired end-state, or selecting movements spatially compatible with given object properties.

TL;DR: A distributed pattern of FC abnormalities within large‐scale neuronal networks occurs in pediatric MS patients, contributes to their cognitive status, and is partially driven by focal white matter lesions.

TL;DR: A novel 3-D segmentation technique posed within the Random Forests (RF) classification framework that develops methods to improve voxel classification by selecting relatively “strong” features and neglecting “weak” ones and weighting each tree in the forest during the testing stage is described.

TL;DR: A general technique that facilitates nonlinear spatial (stereotactic) normalization and image realignment is presented that minimizes the sum of squares between two images following non linear spatial deformations and transformations of the voxel (intensity) values.

TL;DR: A computer algorithm for the three-dimensional alignment of PET images is described that relies on anatomic information in the images rather than on external fiducial markers and can be applied retrospectively, during acquisition, to reposition the scanner gantry and bed to match an earlier study.

TL;DR: The authors have collected over 300 MRI volumetric datasets from normal individuals and transformed these datasets into stereotaxic space using a 3D linear re-sampling algorithm, and generated a series of statistical measures which express this population nonlinear variability in the form of parametric volumes.

TL;DR: The results indicate that retrospective techniques have the potential to produce satisfactory results much of the time, but that visual inspection is necessary to guard against large errors.