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Background
Brain structure abnormalities throughout the course of Parkinson's disease have yet to be fully elucidated.
Objective
Using a multicenter approach and harmonized analysis methods, we aimed to shed light on Parkinson's disease stage‐specific profiles of pathology, as suggested by in vivo neuroimaging.
Methods
Individual brain MRI and clinical data from 2357 Parkinson's disease patients...
Segmentation of MRI scans is a critical part of the workflow process before we can further analyze neuroimaging data. Although there are several automatic tools for segmentation, no segmentation software is perfectly accurate, and manual correction by visually inspecting the segmentation errors is required. The process of correcting these errors is tedious and time-consuming, so we present a novel...
The USC Stevens Neuroimaging and Informatics Institute in the Laboratory of Neuro Imaging (http://loni.usc.edu) has the largest collection/repository of neuroanatomical MRI scans in the world and is at the forefront of both brain imaging and data storage/processing technology. One of our workflow processes involves algorithmic segmentation of MRI scans into labeled anatomical regions (using FreeSurfer,...
Visualization is a critical component of neuroimaging, and how to best view data that is naturally three dimensional is a long standing question in neuroscience. Many approaches, programs, and techniques have been developed specifically for neuroimaging. However, exploration of 3D information through a 2D screen is inherently limited. Many neuroscientific researchers hope that with the recent commercialization...
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