Evidence map›Paper›PMID 41384963›Full record

ArticleNeuroradiology2026

Longitudinal assessment of cortical thickness in healthy older individuals: a comparison between CAT12 and freesurfer.

Benita Schmitz-Koep, Vivian Schultz, Fabian Bongratz, Aurore Menegaux, Melissa Thalhammer, Severin Schramm, Su Hwan Kim, Claus Zimmer, Christian Sorg, Christian Wachinger and 5 more

Abstract readComparative Study
In one paragraph

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

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0citing papers in PubMed
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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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

15 authors.

Benita Schmitz-KoepDepartment of Neuroradiology, School of Medicine and Health, TUM Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany. benita.schmitz-koep@tum.de.ORCID http://orcid.org/0000-0002-8874-5749
Vivian SchultzDepartment of Neuroradiology, School of Medicine and Health, TUM Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany.
Fabian BongratzLaboratory for Artificial Intelligence in Medical Imaging, Department of Radiology, School of Medicine and Health, TUM Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany.
Aurore MenegauxDepartment of Neuroradiology, School of Medicine and Health, TUM Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany.
Melissa ThalhammerDepartment of Neuroradiology, School of Medicine and Health, TUM Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany.
Severin SchrammDepartment of Neuroradiology, School of Medicine and Health, TUM Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany.
Su Hwan KimDepartment of Neuroradiology, School of Medicine and Health, TUM Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany.
Claus ZimmerDepartment of Neuroradiology, School of Medicine and Health, TUM Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany.
Christian SorgDepartment of Neuroradiology, School of Medicine and Health, TUM Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany.
Christian WachingerLaboratory for Artificial Intelligence in Medical Imaging, Department of Radiology, School of Medicine and Health, TUM Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany.
Panteleimon GiannakopoulosDepartment of Psychiatry, University of Geneva, Geneva, Switzerland.
Marie-Louise MontandonDepartment of Rehabilitation and Geriatrics, Geneva University Hospitals and University of Geneva, Geneva, Switzerland.
Cristelle RodriguezDepartment of Psychiatry, University of Geneva, Geneva, Switzerland.
Sven HallerCIMC - Centre d'Imagerie Médicale de Cornavin, Geneva, Switzerland.
Dennis M HedderichDepartment of Neuroradiology, School of Medicine and Health, TUM Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeCortical thickness (CTh) is a valuable imaging biomarker of brain development and aging. The assessment of CTh using the two most widely utilized software packages, Computational Anatomy Toolbox (CAT12) and FreeSurfer, reveals systematic differences between the two tools. Nonetheless, longitudinal results are supposed to be less affected by such differences. To date, there is no comparison of longitudinal CTh data obtained with these preprocessing pipelines.

methodsWe evaluated cross-sectional and longitudinal measurements of CTh using CAT12 and FreeSurfer in healthy older individuals with structural brain MRI. First, we compared cross-sectional CTh values obtained with these two methods using paired t-tests and correlation analyses. Second, we compared longitudinal CAT12 and FreeSurfer-based data using annualized percent change (APC) of CTh between two timepoints.

resultsCross-sectional CTh values were higher in FreeSurfer compared to CAT12 in most regions, albeit highly correlated and similarly distributed. In contrast, longitudinal analyses revealed significant differences in APC values with only weak to moderate correlation between the two methods.

conclusionSignificant differences in longitudinal results between CAT12 and FreeSurfer emphasize the need to consider the preprocessing methods used when interpreting MRI data in brain aging research. Further technical developments are warranted for reliable longitudinal CTh assessment in elderly cohorts.

Indexed as

AgingBrain Cortical ThicknessCerebral CortexMagnetic Resonance ImagingSoftwareAgedCross-Sectional StudiesFemaleHumansLongitudinal StudiesMaleMiddle AgedCAT12Cortical thicknessFreeSurferLongitudinalStructural magnetic resonance imaging

Identifiers

PMID41384963
PMCPMC13021853

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