{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T04:56:05Z","timestamp":1793508965828,"version":"4.5.0"},"reference-count":81,"publisher":"MIT Press","license":[{"start":{"date-parts":[[2024,11,25]],"date-time":"2024-11-25T00:00:00Z","timestamp":1732492800000},"content-version":"vor","delay-in-days":329,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["direct.mit.edu"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,12,6]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>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, p &amp;lt; .001) and valid, with high correlations to DXA-derived head BMD values (rho = .70, p &amp;lt; .001) and MRI-derived abdominal subcutaneous adipose volume (rho = .62, p &amp;lt; .001). Thickness-based adiposity proxy had only a low retest reliability (ICC = .53, p &amp;lt; .001). The outcomes of this study constitute an important step towards extracting relevant non-brain features from available brain scans.<\/jats:p>","DOI":"10.1162\/imag_a_00390","type":"journal-article","created":{"date-parts":[[2024,11,25]],"date-time":"2024-11-25T15:01:12Z","timestamp":1732546872000},"update-policy":"https:\/\/doi.org\/10.1162\/mitpressjournals.corrections.policy","source":"Crossref","is-referenced-by-count":2,"title":["Approximation of bone mineral density and subcutaneous adiposity using T1-weighted images of the human head"],"prefix":"10.1162","volume":"2","author":[{"given":"Polona","family":"Kalc","sequence":"first","affiliation":[{"name":"Structural Brain Mapping Group, Department of Neurology, Jena University Hospital, Friedrich Schiller University Jena, Jena, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Felix","family":"Hoffstaedter","sequence":"additional","affiliation":[{"name":"Forschungszentrum J\u00fclich, Institute of Neuroscience and Medicine, Brain and Behaviour (INM-7), J\u00fclich, Germany"},{"name":"Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University D\u00fcsseldorf, D\u00fcsseldorf, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Eileen","family":"Luders","sequence":"additional","affiliation":[{"name":"School of Psychology, University of Auckland, Auckland, New Zealand"},{"name":"Department of Women\u2019s and Children\u2019s Health, Uppsala University, Uppsala, Sweden"},{"name":"Laboratory of Neuro Imaging, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Christian","family":"Gaser","sequence":"additional","affiliation":[{"name":"Structural Brain Mapping Group, Department of Neurology, Jena University Hospital, Friedrich Schiller University Jena, Jena, Germany"},{"name":"Department of Psychiatry and Psychotherapy, Jena University Hospital, Friedrich Schiller University Jena, Jena, Germany"},{"name":"German Center for Mental Health (DZPG), Berlin, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Robert","family":"Dahnke","sequence":"additional","affiliation":[{"name":"Structural Brain Mapping Group, Department of Neurology, Jena University Hospital, Friedrich Schiller University Jena, Jena, Germany"},{"name":"Department of Psychiatry and Psychotherapy, Jena University Hospital, Friedrich Schiller University Jena, Jena, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"281","published-online":{"date-parts":[[2024,12,6]]},"reference":[{"key":"2025081119502819400_b1","doi-asserted-by":"crossref","first-page":"400","DOI":"10.1016\/j.neuroimage.2017.10.034","article-title":"Image processing and quality control for the first 10,000 brain imaging datasets from UK 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