Evidence map›Paper›PMID 42252567›Full record

ArticleHuman brain mapping2026

Mitigating the Impact of MR Sequence Parameters: Increasing the Robustness of DL-Based Cortical Thickness Estimates.

Timo Blattner, David Romascano, Richard McKinley, Michael Rebsamen, Anke Salmen, Maximilian Pistor, Robert Hoepner, Roland Wiest, Piotr Radojewski, Christian Rummel and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Human brain mapping, 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

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

11 authors.

Timo BlattnerSupport Center for Advanced Neuroimaging (SCAN), University Institute of Diagnostic and Interventional Neuroradiology, University of Bern, Inselspital, Bern University Hospital, Bern, Switzerland.ORCID https://orcid.org/0009-0007-9316-3704
David RomascanoSupport Center for Advanced Neuroimaging (SCAN), University Institute of Diagnostic and Interventional Neuroradiology, University of Bern, Inselspital, Bern University Hospital, Bern, Switzerland.ORCID https://orcid.org/0000-0002-8823-9176
Richard McKinleySupport Center for Advanced Neuroimaging (SCAN), University Institute of Diagnostic and Interventional Neuroradiology, University of Bern, Inselspital, Bern University Hospital, Bern, Switzerland.ORCID https://orcid.org/0000-0001-8250-6117
Michael RebsamenSupport Center for Advanced Neuroimaging (SCAN), University Institute of Diagnostic and Interventional Neuroradiology, University of Bern, Inselspital, Bern University Hospital, Bern, Switzerland.ORCID https://orcid.org/0000-0002-8441-1485
Anke SalmenDepartment of Neurology, Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland.ORCID https://orcid.org/0000-0002-4751-299X
Maximilian PistorDepartment of Neurology, Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland.ORCID https://orcid.org/0000-0002-0703-9974
Robert HoepnerDepartment of Neurology, Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland.ORCID https://orcid.org/0000-0002-0115-7021
Roland WiestSupport Center for Advanced Neuroimaging (SCAN), University Institute of Diagnostic and Interventional Neuroradiology, University of Bern, Inselspital, Bern University Hospital, Bern, Switzerland.ORCID https://orcid.org/0000-0001-7030-2045
Piotr RadojewskiSupport Center for Advanced Neuroimaging (SCAN), University Institute of Diagnostic and Interventional Neuroradiology, University of Bern, Inselspital, Bern University Hospital, Bern, Switzerland.ORCID https://orcid.org/0000-0002-1062-8622
Christian RummelSupport Center for Advanced Neuroimaging (SCAN), University Institute of Diagnostic and Interventional Neuroradiology, University of Bern, Inselspital, Bern University Hospital, Bern, Switzerland.ORCID https://orcid.org/0000-0003-2345-7938
Milena CapiglioniSupport Center for Advanced Neuroimaging (SCAN), University Institute of Diagnostic and Interventional Neuroradiology, University of Bern, Inselspital, Bern University Hospital, Bern, Switzerland.ORCID https://orcid.org/0000-0003-0695-0229

Funding

Wellcome Trust 204593
6 · The paper itself

Abstract

Cortical thickness measurements from MRI are increasingly used as biomarkers for neurodegenerative disease progression. However, variations in MRI acquisition parameters, such as inversion time (TI) and repetition time (TR), which are common in clinical settings, can compromise the reliability and sensitivity of these measurements. We fine-tuned a deep-learning-based segmentation tool (DL+DiReCT) to reduce its dependence to image contrast variations by training it on simulated MPRAGE images derived from quantitative relaxation maps. Fine-tuning markedly reduced contrast sensitivity, with the Pearson correlation coefficient decreasing from

Indexed as

Brain Cortical ThicknessCerebral CortexDeep LearningImage Processing, Computer-AssistedMagnetic Resonance ImagingMultiple Sclerosis, Relapsing-RemittingNeuroimagingAdultAtrophyFemaleHumansMaleMiddle Agedbrain morphometrycontrastcortical thicknessdeep learningMRmultiple sclerosisrobustness

Identifiers

PMID42252567
PMCPMC13243191

What OpenQuestion holds

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Registered trials

None linked

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.