Literature DB >> 36208399

Comparison of FreeSurfer and CAT12 Software in Parcel-Based Cortical Thickness Calculations.

Ulaş Ay1,2,3, Gozde Kizilates-Evin4,5, Ali Bayram4,5, Elif Kurt4,5, Tamer Demiralp5,6.   

Abstract

Several approaches have emerged to measure the cortical thickness (CT), which can be broadly divided into surface-based and voxel-based algorithms. We aimed to compare parcel-based CT estimation of the widely used FreeSurfer (FS) software and CAT12 software, which is a widely used voxel-based approach, and evaluate the test-retest (TRT) reliability of both methods. MRI images of 417 healthy individuals were analyzed. TRT reliability was performed on 60 participants. The mean CT of the parcels of the Desikan-Killiany atlas were calculated both in FS and CAT12. Linear mixed model was performed to compare the two methods and the TRT reliability, and paired-sample t-test for post-hoc analyses. Linear regression analyses were utilized to examine the regressions between the two methods and between different sessions with each method. CT values calculated using the two methods were significantly correlated (R2adj = 0.67). The significant interaction effect between the method and the parcels were due to larger CT values of FS in 32 of 68 parcels, whereas CT values of CAT12 were higher in 31 of 68 parcels. The TRT reliabilities of both approaches were excellent (FS R2adj = 0.95, CAT12 R2adj = 0.93). We conclude that both techniques can provide equally valid results for groups comparisons or follow-up studies as long as they are not mixed with each other.
© 2022. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Brain morphometry; CAT12; Cortical thickness; FreeSurfer

Year:  2022        PMID: 36208399     DOI: 10.1007/s10548-022-00919-8

Source DB:  PubMed          Journal:  Brain Topogr        ISSN: 0896-0267            Impact factor:   4.275


  21 in total

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Journal:  Stat Methods Med Res       Date:  1999-06       Impact factor: 3.021

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Authors:  John Ashburner; Karl J Friston
Journal:  Neuroimage       Date:  2005-04-01       Impact factor: 6.556

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Authors:  Rahul S Desikan; Florent Ségonne; Bruce Fischl; Brian T Quinn; Bradford C Dickerson; Deborah Blacker; Randy L Buckner; Anders M Dale; R Paul Maguire; Bradley T Hyman; Marilyn S Albert; Ronald J Killiany
Journal:  Neuroimage       Date:  2006-03-10       Impact factor: 6.556

4.  A fast diffeomorphic image registration algorithm.

Authors:  John Ashburner
Journal:  Neuroimage       Date:  2007-07-18       Impact factor: 6.556

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Authors:  A M Dale; B Fischl; M I Sereno
Journal:  Neuroimage       Date:  1999-02       Impact factor: 6.556

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Authors:  B Fischl; M I Sereno; A M Dale
Journal:  Neuroimage       Date:  1999-02       Impact factor: 6.556

7.  A comparison of voxel and surface based cortical thickness estimation methods.

Authors:  Matthew J Clarkson; M Jorge Cardoso; Gerard R Ridgway; Marc Modat; Kelvin K Leung; Jonathan D Rohrer; Nick C Fox; Sébastien Ourselin
Journal:  Neuroimage       Date:  2011-05-26       Impact factor: 6.556

8.  Validation of FreeSurfer-estimated brain cortical thickness: comparison with histologic measurements.

Authors:  Francesco Cardinale; Giuseppa Chinnici; Manuela Bramerio; Roberto Mai; Ivana Sartori; Massimo Cossu; Giorgio Lo Russo; Laura Castana; Nadia Colombo; Chiara Caborni; Elena De Momi; Giancarlo Ferrigno
Journal:  Neuroinformatics       Date:  2014-10

9.  Measuring the thickness of the human cerebral cortex from magnetic resonance images.

Authors:  B Fischl; A M Dale
Journal:  Proc Natl Acad Sci U S A       Date:  2000-09-26       Impact factor: 11.205

10.  Cortical thickness and central surface estimation.

Authors:  Robert Dahnke; Rachel Aine Yotter; Christian Gaser
Journal:  Neuroimage       Date:  2012-10-03       Impact factor: 6.556

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