• Bio-psycho-social factors’ associations with brain age: a large-scale UK Biobank diffusion study of 35,749 participants 

      Korbmacher, Max; Gurholt, Tiril Pedersen; de Lange, Ann Marie; Van der meer, Dennis; Beck, Dani; Eikefjord, Eli Nina; Lundervold, Arvid; Andreassen, Ole; Maximov, Ivan (Journal article; Peer reviewed, 2023)
      Brain age refers to age predicted by brain features. Brain age has previously been associated with various health and disease outcomes and suggested as a potential biomarker of general health. Few previous studies have ...
    • Brain age prediction reveals aberrant brain white matter in schizophrenia and bipolar disorder: A multi-sample diffusion tensor imaging study 

      Tønnesen, Siren; Kaufmann, Tobias; de Lange, Ann-Marie Glasø; Richard, Geneviève; Nhat Trung, Doan; Alnæs, Dag; van der Meer, Dennis; Rokicki, Jaroslav; Moberget, Torgeir; Maximov, Ivan; Agartz, Ingrid; Aminoff, Sofie Ragnhild; Beck, Dani; Barch, Deanna M.; Beresniewicz, Justyna; Cervenka, Simon; Fatouros-Bergman, Helena; Craven, Alexander R.; Flyckt, Lena; Gurholt, Tiril Pedersen; Haukvik, Unn Kristin H.; Hugdahl, Kenneth; Johnsen, Erik; Jönsson, Erik Gunnar; Schizophrenia Project (KaSP), Karolinska; Kolskår, Knut-Kristian; Kroken, Rune Andreas; Lagerberg, Trine Vik; Løberg, Else-Marie; Nordvik, Jan Egil; Sanders, Anne-Marthe; Ulrichsen, Kristine Moe; Andreassen, Ole Andreas; Westlye, Lars Tjelta (Journal article; Peer reviewed, 2020)
      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 ...
    • Brain‐wide associations between white matter and age highlight the role of fornix microstructure in brain ageing 

      Korbmacher, Max; de Lange, Ann-Marie; van der Meer, Dennis; Beck, Dani; Eikefjord, Eli Nina; Lundervold, Arvid; Andreassen, Ole; Westlye, Lars Tjelta; Maximov, Ivan (Journal article; Peer reviewed, 2023)
      Unveiling the details of white matter (WM) maturation throughout ageing is a fundamental question for understanding the ageing brain. In an extensive comparison of brain age predictions and age-associations of WM features ...
    • Considerations on brain age predictions from repeatedly sampled data across time 

      Korbmacher, Max; Wang, Mengyun; Eikeland, Rune; Buchert, Ralph; Andreassen, Ole; Espeseth, Thomas; Leonardsen, Esten Høyland; Westlye, Lars Tjelta; Maximov, Ivan; Specht, Karsten (Journal article; Peer reviewed, 2023)
      Introduction Brain age, the estimation of a person's age from magnetic resonance imaging (MRI) parameters, has been used as a general indicator of health. The marker requires however further validation for application in ...
    • Distinct Longitudinal Brain White Matter Microstructure Changes and Associated Polygenic Risk of Common Psychiatric Disorders and Alzheimer's Disease in the UK Biobank 

      Korbmacher, Max; van der Meer, Dennis; Beck, Dani; Askeland-Gjerde, Daniel E.; Eikefjord, Eli Nina Hølleland; Lundervold, Arvid; Andreassen, Ole A.; Westlye, Lars Tjelta; Maximov, Ivan (Journal article; Peer reviewed, 2024)
      Background: During the course of adulthood and aging, white matter (WM) structure and organization are characterized by slow degradation processes such as demyelination and shrinkage. An acceleration of such aging processes ...
    • Evidence for widespread alterations in cortical microstructure after 32 h of sleep deprivation 

      Voldsbekk, Irene; Bjørnerud, Atle; Groote, Inge Rasmus; Zak, Nathalia; Roelfs, Daniël; Maximov, Ivan; Geier, Oliver; Due-Tønnessen, Paulina; Bøen, Erlend; Kuiper, Yvonne S.; Løkken, Lise Linn; Strømstad, Marie; Blakstvedt, Taran Youssefian; Bjorvatn, Bjørn; Malt, Ulrik Fredrik; Westlye, Lars Tjelta; Elvsåshagen, Torbjørn; Grydeland, Håkon (Journal article; Peer reviewed, 2022)
      Cortical microstructure is influenced by circadian rhythm and sleep deprivation, yet the precise underpinnings of these effects remain unclear. The ratio between T1-weighted and T2-weighted magnetic resonance images (T1w/T2w ...