Evidence map›Paper›PMID 29190325›Full record

ArticleCerebral cortex (New York, N.Y. : 1991)2018

Joint Analysis of Cortical Area and Thickness as a Replacement for the Analysis of the Volume of the Cerebral Cortex.

Anderson M Winkler, Douglas N Greve, Knut J Bjuland, Thomas E Nichols, Mert R Sabuncu, Asta K Håberg, Jon Skranes, Lars M Rimol

Abstract read
In one paragraph

Article in Cerebral cortex (New York, N.Y. : 1991), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 69 papers.

0numbers the graph read from it
0cells of the map it votes in
69citing 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

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

69 citing papers in PubMed.

  1. Article
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  3. Investigating the Shared and Divergent Neuroanatomical Features of Attentional Deficits in Adolescents.Journal of the American Academy of Child and Adolescent Psychiatry · 2026
    Article
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  7. Genetic insights on the mechanisms of human cortical folding.bioRxiv : the preprint server for biology · 2026
    Article
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9 more citing papers are in PubMed but not listed here.

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

8 authors.

Anderson M WinklerOxford Centre for Functional MRI of the Brain, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford OX3 9DU, UK.
Douglas N GreveMartinos Center for Biomedical Imaging, Massachusetts General Hospital/ Harvard Medical School, Charlestown, MA 02129, USA.
Knut J BjulandDepartment of Laboratory Medicine, Children's and Women's Health, Norwegian University of Science and Technology, Trondheim 7030, Norway.
Thomas E NicholsOxford Centre for Functional MRI of the Brain, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford OX3 9DU, UK.
Mert R SabuncuSchool of Electrical and Computer Engineering, and Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY 14853, USA.
Asta K HåbergDepartment of Neuroscience, Norwegian University of Science and Technology, Trondheim 7030, Norway.
Jon SkranesDepartment of Laboratory Medicine, Children's and Women's Health, Norwegian University of Science and Technology, Trondheim 7030, Norway.
Lars M RimolDepartment of Laboratory Medicine, Children's and Women's Health, Norwegian University of Science and Technology, Trondheim 7030, Norway.

Funding

Multivariate Pattern Analysis Methods for Neuroimaging Genetics StudiesK25EB013649 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI SABUNCU, MERT RORY · 2011 to 2015
$877k
Multi-modal Prediction of Future Clinical DementiaR21AG050122 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI VAN LEEMPUT, KOEN · 2016 to 2017
$470k
A Structural Brain MRI Dementia Forecast ToolR41AG052246 · NIA · CORTICOMETRICS, LLC · PI SABUNCU, MERT RORY, SCHMANSKY, NICHOLAS JOHN · 2015 to 2015
$225k
NIA NIH HHS R21 AG050122NIA NIH HHS R41 AG052246NIBIB NIH HHS K25 EB013649Wellcome Trust 100309/Z/12/Z
6 · The paper itself

Abstract

Cortical surface area is an increasingly used brain morphology metric that is ontogenetically and phylogenetically distinct from cortical thickness and offers a separate index of neurodevelopment and disease. However, the various existing methods for assessment of cortical surface area from magnetic resonance images have never been systematically compared. We show that the surface area method implemented in FreeSurfer corresponds closely to the exact, but computationally more demanding, mass-conservative (pycnophylactic) method, provided that images are smoothed. Thus, the data produced by this method can be interpreted as estimates of cortical surface area, as opposed to areal expansion. In addition, focusing on the joint analysis of thickness and area, we compare an improved, analytic method for measuring cortical volume to a permutation-based nonparametric combination (NPC) method. We use the methods to analyze area, thickness and volume in young adults born preterm with very low birth weight, and show that NPC analysis is a more sensitive option for studying joint effects on area and thickness, giving equal weight to variation in both of these 2 morphological features.

Indexed as

AdultCerebral CortexFemaleHumansInfant, Very Low Birth WeightMagnetic Resonance ImagingMaleOrgan Sizecortical gray matter volumecortical surface areacortical thicknessnonparametric combination

Identifiers

PMID29190325
PMCPMC5972607

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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.