1. Brain Age Prediction Reveals Aberrant Brain White Matter in Schizophrenia and Bipolar Disorder: A Multisample Diffusion Tensor Imaging Study
- Author
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Tønnesen, Siren, Kaufmann, Tobias, de Lange, Ann-Marie G., Richard, Geneviève, Doan, Nhat Trung, Alnæs, Dag, van der Meer, Dennis, Rokicki, Jaroslav, Moberget, Torgeir, Maximov, Ivan I., Agartz, Ingrid, Aminoff, Sofie R., Beck, Dani, Barch, Deanna M., Beresniewicz, Justyna, Cervenka, Simon, Fatouros-Bergman, Helena, Craven, Alexander R., Flyckt, Lena, Gurholt, Tiril P., Haukvik, Unn K., Hugdahl, Kenneth, Johnsen, Erik, Jönsson, Erik G., Farde, L., Flyckt, L., Engberg, G., Erhardt, S., Fatouros-Bergman, H., Cervenka, S., Schwieler, L., Piehl, F., Agartz, I., Collste, K., Victorsson, P., Malmqvist, A., Hedberg, M., Orhan, F., Sellgren, C., Kolskår, Knut K., Kroken, Rune Andreas, Lagerberg, Trine V., Løberg, Else-Marie, Nordvik, Jan Egil, Sanders, Anne-Marthe, Ulrichsen, Kristine, Andreassen, Ole A., and Westlye, Lars T.
- Abstract
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.
- Published
- 2020
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