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Nordic Journal of Psychiatry|December 19, 2012
Health-related quality of life in recurrent major depressive disorder--a 10-year follow-up studyGuro Årdal, Anders Lund, Åsa HammarApplied Neuropsychology. Adult|January 17, 2019
Facing recovery: Emotional bias in working memory, rumination, relapse, and recurrence of major depression; an experimental paradigm conducted five years after first episode of major depressionEivind Haga Ronold, Jutta Joormann, Åsa HammarApplied Neuropsychology. Adult|April 5, 2021
An open pilot study of an internet-delivered intervention targeting self-perceived residual cognitive symptoms after major depressive disorderSunniva Brurok Myklebost, Tine Nordgreen, Åsa HammarFrontiers in Behavioral Neuroscience|July 14, 2022
Computerized Working Memory Training in Remission From Major Depressive Disorder: Effects on Emotional Working Memory, Processing Speed, Executive Functions, and Associations With SymptomsEivind Haga Ronold, Jutta Joormann, Åsa HammarApplied Neuropsychology. Adult|December 17, 2019
The importance of clinical normative data for conceptualizing neuropsychological deficits in people with schizophrenia spectrum disordersRune Raudeberg, Grant L Iverson, Åsa HammarScandinavian Journal of Psychology|November 23, 2012
Information processing in patients with first episode major depressionÅsa Hammar, Anna B Kildal, Marit SchmidThe Clinical Neuropsychologist|April 9, 2019
Norms matter: U.S. normative data under-estimate cognitive deficits in Norwegians with schizophrenia spectrum disordersRune Raudeberg, Grant L Iverson, Åsa HammarFrontiers in Psychiatry|March 29, 2022
Cognitive Impairment and Neurocognitive Profiles in Major Depression-A Clinical PerspectiveÅsa Hammar, Eivind Haga Ronold, Guro Årdal RekkedalScientific Reports|April 30, 2025
Trauma-analogue symptom variability predicted by inhibitory control and peritraumatic heart rateLinn Petersdotter, Lindsey Miller, Mikael Johansson, et al.Journal of Physiology, Paris|December 1, 2009
Modelling spike trains and extracting response latency with Bayesian binningDominik Endres, Johannes Schindelin, Peter Földiák, et al.Pageof 9