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Adipose tissue dist...
Adipose tissue distribution from body MRI is associated with cross-sectional and longitudinal brain age in adults
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- Beck, Dani (författare)
- Univ Oslo, Norway; Univ Oslo, Norway; Univ Oslo, Norway; Sunnaas Rehabil Hosp HT, Norway
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- De Lange, Ann-Marie G. (författare)
- Univ Oslo, Norway; Univ Oslo, Norway; CHU Vaudois, Switzerland; Univ Lausanne, Switzerland; Univ Oxford, England
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- Alnaes, Dag (författare)
- Univ Oslo, Norway; Univ Oslo, Norway; Bjorknes Coll, Norway
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- Maximov, Ivan I. (författare)
- Univ Oslo, Norway; Univ Oslo, Norway; Univ Oslo, Norway; Western Norway Univ Appl Sci, Norway
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- Pedersen, Mads L. (författare)
- Univ Oslo, Norway; Univ Oslo, Norway; Univ Oslo, Norway
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- Dahlqvist Leinhard, Olof, 1978- (författare)
- Linköpings universitet,Avdelningen för diagnostik och specialistmedicin,Medicinska fakulteten,Centrum för medicinsk bildvetenskap och visualisering, CMIV,AMRA Med AB, Linkoping, Sweden
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- Linge, Jennifer (författare)
- Linköpings universitet,Avdelningen för diagnostik och specialistmedicin,Medicinska fakulteten,AMRA Med AB, Linkoping, Sweden
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- Simon, Rozalyn (författare)
- Linköpings universitet,Avdelningen för diagnostik och specialistmedicin,Medicinska fakulteten,Centrum för medicinsk bildvetenskap och visualisering, CMIV,AMRA Med AB, Linkoping, Sweden
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- Richard, Genevieve (författare)
- Univ Oslo, Norway; Univ Oslo, Norway
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- Ulrichsen, Kristine M. (författare)
- Univ Oslo, Norway; Univ Oslo, Norway; Univ Oslo, Norway; Sunnaas Rehabil Hosp HT, Norway
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- Dorum, Erlend S. (författare)
- Univ Oslo, Norway; Univ Oslo, Norway; Univ Oslo, Norway; Sunnaas Rehabil Hosp HT, Norway
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- Kolskår, Knut K. (författare)
- Univ Oslo, Norway; Univ Oslo, Norway; Univ Oslo, Norway; Sunnaas Rehabil Hosp HT, Norway
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- Sanders, Anne-Marthe (författare)
- Univ Oslo, Norway; Univ Oslo, Norway; Univ Oslo, Norway; Sunnaas Rehabil Hosp HT, Norway
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- Winterton, Adriano (författare)
- Univ Oslo, Norway; Univ Oslo, Norway
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- Gurholt, Tiril P. (författare)
- Univ Oslo, Norway; Univ Oslo, Norway
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- Kaufmann, Tobias (författare)
- Univ Oslo, Norway; Univ Oslo, Norway; Univ Tubingen, Germany
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- Steen, Nils Eiel (författare)
- Univ Oslo, Norway; Univ Oslo, Norway
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- Nordvik, Jan Egil (författare)
- CatoSenteret Rehabil Ctr, Norway
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- Andreassen, Ole A. (författare)
- Univ Oslo, Norway; Univ Oslo, Norway; Univ Oslo, Norway
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- Westlye, Lars T. (författare)
- Univ Oslo, Norway; Univ Oslo, Norway; Univ Oslo, Norway; Univ Oslo, Norway
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(creator_code:org_t)
- Elsevier Science Ltd, 2022
- 2022
- Engelska.
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Ingår i: NeuroImage. - : Elsevier Science Ltd. - 2213-1582. ; 33
- Relaterad länk:
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https://liu.diva-por... (primary) (Raw object)
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https://doi.org/10.1...
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- There is an intimate body-brain connection in ageing, and obesity is a key risk factor for poor cardiometabolic health and neurodegenerative conditions. Although research has demonstrated deleterious effects of obesity on brain structure and function, the majority of studies have used conventional measures such as waist-to-hip ratio, waist circumference, and body mass index. While sensitive to gross features of body composition, such global anthropometric features fail to describe regional differences in body fat distribution and composition. The sample consisted of baseline brain magnetic resonance imaging (MRI) acquired from 790 healthy participants aged 18-94 years (mean +/- standard deviation (SD) at baseline: 46.8 +/- 16.3), and follow-up brain MRI collected from 272 of those individuals (two time-points with 19.7 months interval, on average (min = 9.8, max = 35.6). Of the 790 included participants, cross-sectional body MRI data was available from a subgroup of 286 participants, with age range 19-86 (mean = 57.6, SD = 15.6). Adopting a mixed cross-sectional and longitudinal design, we investigated cross-sectional body magnetic resonance imaging measures of adipose tissue distribution in relation to longitudinal brain structure using MRI-based morphometry (T1) and diffusion tensor imaging (DTI). We estimated tissue-specific brain age at two time points and performed Bayesian multilevel modelling to investigate the associations between adipose measures at follow-up and brain age gap (BAG) - the difference between actual age and the prediction of the brains biological age - at baseline and follow-up. We also tested for interactions between BAG and both time and age on each adipose measure. The results showed credible associations between T1-based BAG and liver fat, muscle fat infiltration (MFI), and weight-to-muscle ratio (WMR), indicating older-appearing brains in people with higher measures of adipose tissue. Longitudinal evidence supported interaction effects between time and MFI and WMR on T1-based BAG, indicating accelerated ageing over the course of the study period in people with higher measures of adipose tissue. The results show that specific measures of fat distribution are associated with brain ageing and that different compartments of adipose tissue may be differentially linked with increased brain ageing, with potential to identify key processes involved in age-related transdiagnostic disease processes.
Ämnesord
- MEDICIN OCH HÄLSOVETENSKAP -- Klinisk medicin -- Radiologi och bildbehandling (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Clinical Medicine -- Radiology, Nuclear Medicine and Medical Imaging (hsv//eng)
Nyckelord
- Adipose tissue; Obesity; T1; DTI; MRI; Brain age
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
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Till lärosätets databas
- Av författaren/redakt...
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Beck, Dani
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De Lange, Ann-Ma ...
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Alnaes, Dag
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Maximov, Ivan I.
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Pedersen, Mads L ...
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Dahlqvist Leinha ...
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visa fler...
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Linge, Jennifer
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Simon, Rozalyn
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Richard, Genevie ...
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Ulrichsen, Krist ...
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Dorum, Erlend S.
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Kolskår, Knut K.
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Sanders, Anne-Ma ...
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Winterton, Adria ...
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Gurholt, Tiril P ...
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Kaufmann, Tobias
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Steen, Nils Eiel
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Nordvik, Jan Egi ...
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Andreassen, Ole ...
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Westlye, Lars T.
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visa färre...
- Om ämnet
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- MEDICIN OCH HÄLSOVETENSKAP
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MEDICIN OCH HÄLS ...
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och Klinisk medicin
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och Radiologi och bi ...
- Artiklar i publikationen
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NeuroImage
- Av lärosätet
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Linköpings universitet