Evidence map›Paper›PMID 40800364›Full record

ArticleImaging neuroscience (Cambridge, Mass.)2024

Approximation of bone mineral density and subcutaneous adiposity using T1-weighted images of the human head.

Polona Kalc, Felix Hoffstaedter, Eileen Luders, Christian Gaser, Robert Dahnke

Abstract read
In one paragraph

Article in Imaging neuroscience (Cambridge, Mass.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Polona KalcStructural Brain Mapping Group, Department of Neurology, Jena University Hospital, Friedrich Schiller University Jena, Jena, Germany.
Felix HoffstaedterForschungszentrum Jülich, Institute of Neuroscience and Medicine, Brain and Behaviour (INM-7), Jülich, Germany.
Eileen LudersSchool of Psychology, University of Auckland, Auckland, New Zealand.
Christian GaserStructural Brain Mapping Group, Department of Neurology, Jena University Hospital, Friedrich Schiller University Jena, Jena, Germany.
Robert DahnkeStructural Brain Mapping Group, Department of Neurology, Jena University Hospital, Friedrich Schiller University Jena, Jena, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bones and brain are intricately connected and scientific interest in their interaction is growing. This has become particularly evident in the framework of clinical applications for various medical conditions, such as obesity and osteoporosis. The adverse effects of obesity on brain health have long been recognised, but few brain imaging studies provide sophisticated body composition measures. Here, we propose to extract the following bone- and adiposity-related measures from T1-weighted MR images of the head: an approximation of skull bone mineral density (BMD), skull bone thickness, and two approximations of subcutaneous fat (i.e., the intensity and thickness of soft non-brain head tissue). The reliability and validity of these four distinct measures were tested in two large-scale databases, the UK Biobank and OASIS-3. The measures pertaining to skull BMD, skull bone thickness, and intensity-based adiposity proxy proved to be reliable (ICC = .95/.83/.66,

Indexed as

adipositybone mineral densitycraniumskull-strippingstructural MRIUK Biobank

Identifiers

PMID40800364
PMCPMC12315763

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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.