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

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

Abstract Background 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...

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Bibliographic Details
Main Authors: Shadia S. Mikhael, Cyril Pernet
Format: Article
Language:English
Published: BMC 2019-01-01
Series:BMC Bioinformatics
Subjects:
Cortical parcellation
Grey matter
Thickness
Volume
Surface area
Superior frontal gyrus
Online Access:http://link.springer.com/article/10.1186/s12859-019-2609-8

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http://link.springer.com/article/10.1186/s12859-019-2609-8

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