Work

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

Year: 2019

Type: article

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 matter thickness (GM th ), grey matter volume (GM vol ) and white matter surface area (WM sa ) for the superior frontal gyrus (SFG), supramarginal gyrus (SMG), and cingulate gyrus (CG) from 4 parcellation protocols as implemented in the FreeSurfer, BrainSuite, and BrainGyrusMapping (BGM) software packages. Corresponding gyral definitions and morphometry approaches were not identical across the packages. As expected, there were differences in the bordering landmarks of each gyrus as well as in the manner in which variability was addressed. Rostral and caudal SFG and SMG boundaries differed, and in the event of a double CG occurrence, its upper fold was not always addressed. This led to a knock-on effect that was visible at the neighbouring gyri (e.g., knock-on effect at the SFG following CG definition) as well as gyral morphometric measurements of the affected gyri. Statistical analysis showed that the most consistent approaches were FreeSurfer’s Desikan-Killiany-Tourville (DKT) protocol for GM th and BrainGyrusMapping for GM vol . Package consistency varied for WM sa , depending on the region of interest. Given the significance and implications that a parcellation protocol will have on the classification, and sometimes treatment, of subjects, it is essential to select the protocol which accurately represents their regions of interest and corresponding morphometrics, while embracing cortical variability.

Source: BMC Bioinformatics

DOI: 10.1186/s12859-019-2609-8

Authors: Shadia S. Mikhael, Cyril Pernet

Institution: University of Edinburgh

Language: English

Topic: Functional Brain Connectivity Studies

Subfield: Cognitive Neuroscience

Field: Neuroscience

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: $2,170