Evidence map›Paper›PMID 41717138›Full record

ArticleBrain communications2026

Linking obesity with white matter microstructure highlights the importance of brainstem tracts and sex differences.

Tiril P Gurholt, Dani Beck, Irene Voldsbekk, Nadine Parker, Daniel E Askeland-Gjerde, Ann-Marie G de Lange, Dennis van der Meer, Christian K Tamnes, Paul M Thompson, Ida E Sønderby and 3 more

Abstract read
In one paragraph

Article in Brain communications, 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

13 authors.

Tiril P GurholtSection for Precision Psychiatry, Division of Mental Health and Addiction, Oslo University Hospital, 0450 Oslo, Norway.ORCID https://orcid.org/0000-0002-1272-7616
Dani BeckDepartment of Psychology, University of Oslo, 0373 Oslo, Norway.
Irene VoldsbekkSection for Precision Psychiatry, Division of Mental Health and Addiction, Oslo University Hospital, 0450 Oslo, Norway.
Nadine ParkerDivision of Mental Health and Addiction, Centre for Precision Psychiatry, Institute of Clinical Medicine, University of Oslo, 0450 Oslo, Norway.
Daniel E Askeland-GjerdeSection for Precision Psychiatry, Division of Mental Health and Addiction, Oslo University Hospital, 0450 Oslo, Norway.
Ann-Marie G de LangeDepartment of Psychology, University of Oslo, 0373 Oslo, Norway.
Dennis van der MeerDivision of Mental Health and Addiction, Centre for Precision Psychiatry, Institute of Clinical Medicine, University of Oslo, 0450 Oslo, Norway.
Christian K TamnesDepartment of Psychology, University of Oslo, 0373 Oslo, Norway.
Paul M ThompsonImaging Genetics Center, Mark & Mary Stevens Neuroimaging & Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA 90292, USA.
Ida E SønderbySection for Precision Psychiatry, Division of Mental Health and Addiction, Oslo University Hospital, 0450 Oslo, Norway.
Ivan I MaximovDepartment of Health and Functioning, Western Norway University of Applied Sciences, 5063 Bergen, Norway.
Lars T WestlyeSection for Precision Psychiatry, Division of Mental Health and Addiction, Oslo University Hospital, 0450 Oslo, Norway.ORCID https://orcid.org/0000-0001-8644-956X
Ole A AndreassenSection for Precision Psychiatry, Division of Mental Health and Addiction, Oslo University Hospital, 0450 Oslo, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While obesity (body mass index ≥ 30) has been consistently associated with white matter diffusion magnetic resonance imaging (MRI) phenotypes, the contributions of common obesity phenotypes on various diffusion metrics, and the moderating effects of sex and age, require further clarification. This study aims to elucidate these body-brain connections to enhance our understanding of the comorbid link between obesity and body anthropometrics and the brain using a large-scale dataset. We analysed cross-sectional data from 40 040 participants from the UK Biobank (52.2% female; ages 44-83 years) using multiple linear regression to evaluate how obesity and body anthropometrics relate to regional white matter diffusion tensor imaging metrics (fractional anisotropy, axial diffusivity, radial diffusivity, mean diffusivity). We also examined interactions with age and sex. Our analyses revealed significant associations between individual obesity phenotypes (i.e. obesity and body anthropometrics) and diffusion tensor imaging metrics of small effects, with partial correlation coefficient |

Indexed as

cardiometabolic conditionsDTIsomatic disorderwaist circumferencewaist-to-hip ratio

Identifiers

PMID41717138
PMCPMC12914739

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 Socratic graph.