ArticleCerebral cortex (New York, N.Y. : 1991)2020
Influence of Processing Pipeline on Cortical Thickness Measurement.
Article in Cerebral cortex (New York, N.Y. : 1991), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 1 of them a synthesis that pooled it.
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Who cites it
38 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Genetic insights into human cortical organization and development through genome-wide analyses of 2,347 neuroimaging phenotypes.Nature genetics · 2023Pooled it
- Transient brain structure changes after high phenylalanine exposure in adults with phenylketonuria.Brain : a journal of neurology · 2024Trial
- Longitudinal assessment of cortical thickness in healthy older individuals: a comparison between CAT12 and freesurfer.Neuroradiology · 2026Article
- Patterns of brain-wide associations reflect socioeconomics.bioRxiv : the preprint server for biology · 2025Article
- Hormonal milieu influences whole-brain structural dynamics across the menstrual cycle using dense sampling in multiple individuals.Nature neuroscience · 2025Article
- How measurement noise limits the accuracy of brain-behaviour predictions.Nature communications · 2024Article
- The genetics of spatiotemporal variation in cortical thickness in youth.Communications biology · 2024Article
- Surface-Based Morphometry Analysis of the Cerebral Cortex in Patients With Probable Idiopathic Rapid Eye Movement Sleep Behavior Disorder.Brain and behavior · 2024Article
- Implementing ABCD studyMethodsX · 2024Article
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- Volume-based and Surface-Based Methods in Autism Compared with Healthy Controls Are Free surfer and CAT12 in Agreement?Iranian journal of child neurology · 2024Article
- Disability in cerebellar ataxia syndromes is linked to cortical degeneration.Journal of neurology · 2023Article
- Extensive T1-weighted MRI Preprocessing Improves Generalizability of Deep Brain Age Prediction Models.bioRxiv : the preprint server for biology · 2023Article
- MR-based spatiotemporal anisotropic atrophy evaluation of hippocampus in Alzheimer's disease progression by multiscale skeletal representation.Human brain mapping · 2023Article
- Systematic cortical thickness and curvature patterns in primates.NeuroImage · 2023Article
- Different MRI structural processing methods do not impact functional connectivity computation.Scientific reports · 2023Article
- Reorganization in the macaque interoceptive-allostatic network following anterior cingulate cortex damage.Cerebral cortex (New York, N.Y. : 1991) · 2023Article
- Reliable brain morphometry from contrast-enhanced T1w-MRI in patients with multiple sclerosis.Human brain mapping · 2023Article
- Cortical thickness in brain imaging studies using FreeSurfer and CAT12: A matter of reproducibility.Neuroimage. Reports · 2022Article
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15 authors.
Funding
Abstract
In recent years, replicability of neuroscientific findings, specifically those concerning correlates of morphological properties of gray matter (GM), have been subject of major scrutiny. Use of different processing pipelines and differences in their estimates of the macroscale GM may play an important role in this context. To address this issue, here, we investigated the cortical thickness estimates of three widely used pipelines. Based on analyses in two independent large-scale cohorts, we report high levels of within-pipeline reliability of the absolute cortical thickness-estimates and comparable spatial patterns of cortical thickness-estimates across all pipelines. Within each individual, absolute regional thickness differed between pipelines, indicating that in-vivo thickness measurements are only a proxy of actual thickness of the cortex, which shall only be compared within the same software package and thickness estimation technique. However, at group level, cortical thickness-estimates correlated strongly between pipelines, in most brain regions. The smallest between-pipeline correlations were observed in para-limbic areas and insula. These regions also demonstrated the highest interindividual variability and the lowest reliability of cortical thickness-estimates within each pipeline, suggesting that structural variations within these regions should be interpreted with caution.
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