A controlled comparison of thickness, volume and surface areas from multiple cortical parcellation packages

Volume: 20, Issue: 1
Published: Jan 28, 2019
Abstract
Cortical parcellation is an essential neuroimaging tool for identifying and characterizing morphometric and connectivity brain changes occurring with age and disease. A variety of software packages have been developed for parcellating the brain's cortical surface into a variable number of regions but interpackage differences can undermine reproducibility. Using a ground truth dataset (Edinburgh_NIH10), we investigated such differences for grey...
Paper Details
Title
A controlled comparison of thickness, volume and surface areas from multiple cortical parcellation packages
Published Date
Jan 28, 2019
Volume
20
Issue
1
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