• Distinguishing early and late brain aging from the Alzheimer's disease spectrum: Consistent morphological patterns across independent samples 

      Doan, Nhat Trung; Engvig, Andreas; Zaske, Krystal; Persson, Karin; Lund, Martina Jonette; Kaufmann, Tobias; Còrdova Palomera, Aldo; Alnæs, Dag; Moberget, Torgeir; Brækhus, Anne; Barca, Maria Lage; Nordvik, Jan Egil; Engedal, Knut; Agartz, Ingrid; Selbæk, Geir; Andreassen, Ole Andreas; Westlye, Lars Tjelta (Journal article; Peer reviewed, 2017)
      Abstract Alzheimer's disease (AD) is a debilitating age-related neurodegenerative disorder. Accurate identification of individuals at risk is complicated as AD shares cognitive and brain features with aging. We applied ...
    • Meta-analysis of Alzheimer’s disease on 9,751 samples from Norway and IGAP study identifies four risk loci 

      Witoelar, Aree; Rongve, Arvid; Almdahl, Ina Selseth; Ulstein, Ingun; Engvig, Andreas; White, Linda Rosemary; Selbæk, Geir; Stordal, Eystein; Andersen, Fredrik; Brækhus, Anne; Saltvedt, Ingvild; Engedal, Knut; Hughes, Timothy; Bergh, Sverre; Bråthen, Geir; Bogdanovic, Nenad; Bettella, Francesco; Wang, Yunpeng; Athanasiu, Lavinia; Bahrami, Shahram; Le Hellard, Stephanie; Giddaluru, Sudheer; Dale, Anders M; Sando, Sigrid Botne; Steinberg, Stacy; Stefansson, Hreinn; Snaedal, Jon; Desikan, Rahul S; Stefansson, Kari; Aarsland, Dag; Djurovic, Srdjan; Fladby, Tormod; Andreassen, Ole Andreas (Peer reviewed; Journal article, 2018)
      A large fraction of genetic risk factors for Alzheimer's Disease (AD) is still not identified, limiting the understanding of AD pathology and study of therapeutic targets. We conducted a genome-wide association study (GWAS) ...