Evidence map›Paper›PMID 41888478›Full record

ArticleBrain topography2026

Agreement between FreeSurfer and CAT12 Cortical Thickness Measurements: A Discovery and a Replication Study in Children/Adolescents.

Cameron C McKay, Marissa Laws, Gabrielle-Ann A Torre, Ashley S VanMeter, Guinevere F Eden

Abstract read
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Article in Brain topography, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Cameron C McKayCenter for the Study of Learning, Department of Pediatrics, Georgetown University Medical Center, 4000 Reservoir Road, NW, Washington, DC, 20007, USA.
Marissa LawsCenter for the Study of Learning, Department of Pediatrics, Georgetown University Medical Center, 4000 Reservoir Road, NW, Washington, DC, 20007, USA.
Gabrielle-Ann A TorreCenter for the Study of Learning, Department of Pediatrics, Georgetown University Medical Center, 4000 Reservoir Road, NW, Washington, DC, 20007, USA.
Ashley S VanMeterCenter for the Study of Learning, Department of Pediatrics, Georgetown University Medical Center, 4000 Reservoir Road, NW, Washington, DC, 20007, USA.
Guinevere F EdenCenter for the Study of Learning, Department of Pediatrics, Georgetown University Medical Center, 4000 Reservoir Road, NW, Washington, DC, 20007, USA. edeng@georgetown.edu.

Funding

Reading and sensorimotor fluency in dyslexiaP50HD040095 · NICHD · GEORGETOWN UNIVERSITY · PI EDEN, GUINEVERE F. · 2001 to 2006
$7.5M
Training in Neural Injury &PlasticityT32NS041218 · NINDS · GEORGETOWN UNIVERSITY · PI MARK P BURNS, Kathleen Anne Maguire-Zeiss · 2001 to 2026
$3.5M
Gray Matter Structure Changes Following Intervention in Children with RD or MDF31HD097924 · NICHD · GEORGETOWN UNIVERSITY · PI MCKAY, CAMERON · 2019 to 2020
$65k
National Science Foundation 1743521National Science Foundation 1937959NICHD NIH HHS F31 HD097924NICHD NIH HHS P50 HD040095NINDS NIH HHS T32 NS041218
6 · The paper itself

Abstract

Cortical thickness can be derived from magnetic resonance imaging scans using the software tools FreeSurfer or the Computational Anatomy Toolbox (CAT12). Two studies in children/adolescents have compared cortical thickness estimates generated by these two programs and reported positive correlations. However, these studies, as well as similar studies in adults, found that the magnitude of cortical thickness generated by these two programs for the most part was not comparable, with one program or the other generating relatively lower values, and the direction of this effect varying across and within studies. Here, we tackled this issue by using, for the first time, discovery and replication samples of children/adolescents. For both samples (age range 6-16 years), we observed strong positive correlations between cortical thickness values generated with FreeSurfer and with CAT12 at both the whole-cortex and regional levels. We also found that FreeSurfer yielded relatively lower cortical thickness values than CAT12, both at the level of the whole cortex and in ≥ 94% of the regions investigated. In supplementary analyses, we further evaluated several factors that could influence inter-software convergence and found that age, image quality, and scanner manufacturer were associated with the magnitude of agreement between the two programs. Given this unequivocal difference in magnitude across both samples, we conclude that cortical thickness values can only be compared amongst studies on children/adolescents if the studies implemented the same software program.

Indexed as

Cerebral CortexImage Processing, Computer-AssistedMagnetic Resonance ImagingSoftwareAdolescentChildFemaleHumansMaleAdolescentsChildrenComputational Anatomy Toolbox (CAT12)Cortical thicknessFreeSurfer

Identifiers

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.