Evidence map›Paper›PMID 38332362›Full record

ReviewEuropean radiology experimental2024

Cerebral MRI in a prospective cohort study on depression and atherosclerosis: the BiDirect sample, processing pipelines, and analysis tools.

Niklas Wulms, Harald Kugel, Christian Cnyrim, Anja Tenberge, Wolfram Schwindt, Udo Dannlowski, Klaus Berger, Benedikt Sundermann, Heike Minnerup

Abstract readReview
In one paragraph

Review in European radiology experimental, 2024. 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

9 authors.

Niklas WulmsInstitute of Epidemiology and Social Medicine, University of Münster, Münster, Germany. wulms@uni-muenster.de.ORCID http://orcid.org/0000-0002-3418-9978
Harald KugelClinic of Radiology Radiology, University Hospital Muenster, Münster, Germany.
Christian CnyrimDepartment of Clinical Radiology, Klinikum Ibbenbueren, Ibbenbueren, Germany.
Anja TenbergeInstitute of Epidemiology and Social Medicine, University of Münster, Münster, Germany.
Wolfram SchwindtClinic of Radiology Radiology, University Hospital Muenster, Münster, Germany.
Udo DannlowskiInstitute for Translational Psychiatry, University of Münster, Münster, Germany.
Klaus BergerInstitute of Epidemiology and Social Medicine, University of Münster, Münster, Germany.
Benedikt SundermannClinic of Radiology Radiology, University Hospital Muenster, Münster, Germany.
Heike MinnerupInstitute of Epidemiology and Social Medicine, University of Münster, Münster, Germany.

Funding

Bundesministerium für Bildung und Forschung 01ER0816Bundesministerium für Bildung und Forschung 01ER1205Bundesministerium für Bildung und Forschung 01ER1506
6 · The paper itself

Abstract

backgroundThe use of cerebral magnetic resonance imaging (MRI) in observational studies has increased exponentially in recent years, making it critical to provide details about the study sample, image processing, and extracted imaging markers to validate and replicate study results. This article reviews the cerebral MRI dataset from the now-completed BiDirect cohort study, as an update and extension of the feasibility report published after the first two examination time points.

methodsWe report the sample and flow of participants spanning four study sessions and twelve years. In addition, we provide details on the acquisition protocol; the processing pipelines, including standardization and quality control methods; and the analytical tools used and markers available.

resultsAll data were collected from 2010 to 2021 at a single site in Münster, Germany, starting with a population of 2,257 participants at baseline in 3 different cohorts: a population-based cohort (n = 911 at baseline, 672 with MRI data), patients diagnosed with depression (n = 999, 736 with MRI data), and patients with manifest cardiovascular disease (n = 347, 52 with MRI data). During the study period, a total of 4,315 MRI sessions were performed, and over 535 participants underwent MRI at all 4 time points.

conclusionsImages were converted to Brain Imaging Data Structure (a standard for organizing and describing neuroimaging data) and analyzed using common tools, such as CAT12, FSL, Freesurfer, and BIANCA to extract imaging biomarkers. The BiDirect study comprises a thoroughly phenotyped study population with structural and functional MRI data. RELEVANCE STATEMENT: The BiDirect Study includes a population-based sample and two patient-based samples whose MRI data can help answer numerous neuropsychiatric and cardiovascular research questions. KEY POINTS: • The BiDirect study included characterized patient- and population-based cohorts with MRI data. • Data were standardized to Brain Imaging Data Structure and processed with commonly available software. • MRI data and markers are available upon request.

Indexed as

AtherosclerosisDepressionCohort StudiesHumansMagnetic Resonance ImagingProspective StudiesLongitudinal studiesMagnetic resonance imagingMedical image processingPopulation healthStandardization

Identifiers

PMID38332362
PMCPMC10853141

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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.