SwePub
Sök i LIBRIS databas

  Extended search

(WFRF:(Tønnesen Siren))
 

Search: (WFRF:(Tønnesen Siren)) > Brain Age Predictio...

  • 1 of 1
  • Previous record
  • Next record
  •    To hitlist
  • Tønnesen, Siren (author)

Brain Age Prediction Reveals Aberrant Brain White Matter in Schizophrenia and Bipolar Disorder : A Multisample Diffusion Tensor Imaging Study

  • Article/chapterEnglish2020

Publisher, publication year, extent ...

  • Elsevier BV,2020
  • electronicrdacarrier

Numbers

  • LIBRIS-ID:oai:DiVA.org:uu-440781
  • https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-440781URI
  • https://doi.org/10.1016/j.bpsc.2020.06.014DOI
  • http://kipublications.ki.se/Default.aspx?queryparsed=id:145364180URI

Supplementary language notes

  • Language:English
  • Summary in:English

Part of subdatabase

Classification

  • Subject category:ref swepub-contenttype
  • Subject category:art swepub-publicationtype

Notes

  • BACKGROUND: Schizophrenia (SZ) and bipolar disorder (BD) share substantial neurodevelopmental components affecting brain maturation and architecture. This necessitates a dynamic lifespan perspective in which brain aberrations are inferred from deviations from expected lifespan trajectories. We applied machine learning to diffusion tensor imaging (DTI) indices of white matter structure and organization to estimate and compare brain age between patients with SZ, patients with BD, and healthy control (HC) subjects across 10 cohorts.METHODS: We trained 6 cross-validated models using different combinations of DTI data from 927 HC subjects (18-94 years of age) and applied the models to the test sets including 648 patients with SZ (18-66 years of age), 185 patients with BD (18-64 years of age), and 990 HC subjects (17-68 years of age), estimating the brain age for each participant. Group differences were assessed using linear models, accounting for age, sex, and scanner. A meta-analytic framework was applied to assess the heterogeneity and generalizability of the results.RESULTS: Tenfold cross-validation revealed high accuracy for all models. Compared with HC subjects, the model including all feature sets significantly overestimated the age of patients with SZ (Cohen's d = -0.29) and patients with BD (Cohen's d = 0.18), with similar effects for the other models. The meta-analysis converged on the same findings. Fractional anisotropy-based models showed larger group differences than the models based on other DTI-derived metrics.CONCLUSIONS: Brain age prediction based on DTI provides informative and robust proxies for brain white matter integrity. Our results further suggest that white matter aberrations in SZ and BD primarily consist of anatomically distributed deviations from expected lifespan trajectories that generalize across cohorts and scanners.

Subject headings and genre

Added entries (persons, corporate bodies, meetings, titles ...)

  • Kaufmann, Tobias (author)
  • de Lange, Ann-Marie G (author)
  • Richard, Geneviève (author)
  • Doan, Nhat Trung (author)
  • Alnæs, Dag (author)
  • van der Meer, Dennis (author)
  • Rokicki, Jaroslav (author)
  • Moberget, Torgeir (author)
  • Maximov, Ivan I (author)
  • Agartz, IngridKarolinska Institutet (author)
  • Aminoff, Sofie R (author)
  • Beck, Dani (author)
  • Barch, Deanna M (author)
  • Beresniewicz, Justyna (author)
  • Cervenka, SimonKarolinska Institutet(Swepub:uu)simce160 (author)
  • Fatouros-Bergman, HelenaKarolinska Institutet (author)
  • Craven, Alexander R (author)
  • Flyckt, LenaKarolinska Institutet (author)
  • Gurholt, Tiril P (author)
  • Haukvik, Unn K (author)
  • Hugdahl, Kenneth (author)
  • Johnsen, Erik (author)
  • Jönsson, Erik GKarolinska Institutet (author)
  • Kolskår, Knut K (author)
  • Kroken, Rune Andreas (author)
  • Lagerberg, Trine V (author)
  • Løberg, Else-Marie (author)
  • Nordvik, Jan Egil (author)
  • Sanders, Anne-Marthe (author)
  • Ulrichsen, Kristine (author)
  • Andreassen, Ole A (author)
  • Westlye, Lars T (author)
  • Karolinska Institutet (creator_code:org_t)

Related titles

  • In:Biological Psychiatry: Elsevier BV5:12, s. 1095-11032451-90222451-9030

Internet link

Find in a library

To the university's database

  • 1 of 1
  • Previous record
  • Next record
  •    To hitlist

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.

 
pil uppåt Close

Copy and save the link in order to return to this view