Dag Alnæs

ORCID: 0000-0001-7361-5418
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About
Contact & Profiles
Research Areas
  • Functional Brain Connectivity Studies
  • Advanced Neuroimaging Techniques and Applications
  • Genetic Associations and Epidemiology
  • Advanced MRI Techniques and Applications
  • Neural dynamics and brain function
  • Mental Health Research Topics
  • Health, Environment, Cognitive Aging
  • Dementia and Cognitive Impairment Research
  • Birth, Development, and Health
  • Neural and Behavioral Psychology Studies
  • Schizophrenia research and treatment
  • Visual perception and processing mechanisms
  • EEG and Brain-Computer Interfaces
  • Cognitive Abilities and Testing
  • Fetal and Pediatric Neurological Disorders
  • Stroke Rehabilitation and Recovery
  • Sleep and Wakefulness Research
  • Genetics and Neurodevelopmental Disorders
  • Cerebrovascular and Carotid Artery Diseases
  • Child and Adolescent Psychosocial and Emotional Development
  • Face Recognition and Perception
  • Neuroendocrine regulation and behavior
  • Acute Ischemic Stroke Management
  • Bioinformatics and Genomic Networks
  • Epigenetics and DNA Methylation

Oslo University Hospital
2015-2024

University of Oslo
2015-2024

Høyskolen Kristiania
2022-2024

Oslo Nye Høyskole
2020-2023

OsloMet – Oslo Metropolitan University
2022-2023

Norwegian Institute of Public Health
2016

Diakonhjemmet Hospital
2016

10.1038/s41593-019-0471-7 article EN Nature Neuroscience 2019-09-24

Abstract Attentional effort relates to the allocation of limited-capacity attentional resources meet current task demands and involves activation top-down systems in brain. Pupillometry is a sensitive measure this intensity aspect control. Studies relate pupillary changes response cognitive processing activity locus coeruleus (LC), which main hub brain's noradrenergic system it thought modulate operations systems. In present study, participants performed visual divided attention known as...

10.1167/14.4.1 article EN cc-by-nc-nd Journal of Vision 2014-04-01

Schizophrenia and bipolar disorder are severe complex brain disorders characterized by substantial clinical biological heterogeneity. However, case-control studies often ignore such heterogeneity through their focus on the average patient, which may be core reason for a lack of robust biomarkers indicative an individual's treatment response outcome.To investigate degree to analyses disguise interindividual differences in structure among patients with schizophrenia map alterations linked...

10.1001/jamapsychiatry.2018.2467 article EN JAMA Psychiatry 2018-10-10

Abstract Oxytocin is a neuropeptide involved in animal and human reproductive social behavior. Three oxytocin signaling genes have been frequently implicated behavior: OXT (structural gene for oxytocin), OXTR (oxytocin receptor), CD38 secretion). Here, we characterized the distribution of , mRNA across brain by creating voxel-by-voxel volumetric expression maps, identified putative pathway interactions comparing patterns 20,737 genes. Expression three selected was enriched subcortical...

10.1038/s41467-019-08503-8 article EN cc-by Nature Communications 2019-02-08

Between-individual variability in brain structure is determined by gene-environment interactions, possibly reflecting differential sensitivity to environmental and genetic perturbations. Magnetic resonance imaging (MRI) studies have revealed thinner cortices smaller subcortical volumes patients with schizophrenia. However, group-level comparisons may mask considerable within-group heterogeneity, which has largely remained unnoticed the literature.To compare structural between individuals...

10.1001/jamapsychiatry.2019.0257 article EN JAMA Psychiatry 2019-04-10
Sophia Frangou Amirhossein Modabbernia Steven Williams Efstathios Papachristou Gaëlle E. Doucet and 95 more Ingrid Agartz Moji Aghajani Theophilus N. Akudjedu Anton Albajes‐Eizagirre Dag Alnæs Kathryn Alpert Micael Andersson Nancy C. Andreasen Ole A. Andreassen Philip Asherson Tobias Banaschewski Núria Bargalló Sarah Baumeister Ramona Baur‐Streubel Alessandro Bertolino Aurora Bonvino Dorret I. Boomsma Stefan Borgwardt Josiane Bourque Daniel Brandeis Alan Breier Henry Brodaty Rachel M. Brouwer Jan K. Buitelaar Geraldo F. Busatto Randy L. Buckner Vince D. Calhoun Erick J. Canales‐Rodríguez Dara M. Cannon Xavier Caseras F. Xavier Castellanos Simon Červenka Tiffany M. Chaim‐Avancini Christopher R. K. Ching Viktoria Chubar Vincent P. Clark Patricia Conrod Annette Conzelmann Benedicto Crespo‐Facorro Fabrice Crivello Eveline A. Crone Anders M. Dale Udo Dannlowski Christopher G. Davey Eco J. C. de Geus Lieuwe de Haan Greig I. de Zubicaray Anouk den Braber Erin W. Dickie Annabella Di Giorgio Nhat Trung Doan Erlend S. Dørum Stefan Ehrlich Susanne Erk Thomas Espeseth Helena Fatouros‐Bergman Simon E. Fisher Jean‐Paul Fouché Barbara Franke Thomas Frodl Paola Fuentes‐Claramonte David C. Glahn Ian H. Gotlib Hans J. Grabe O. Grimm Nynke A. Groenewold Dominik Grotegerd Oliver Gruber Patricia Gruner Rachel E. Gur Ruben C. Gur Tim Hahn Ben J. Harrison Catharine A Hartman Sean N. Hatton Andreas Heinz Dirk J. Heslenfeld Derrek P. Hibar Ian B. Hickie Beng‐Choon Ho Pieter J. Hoekstra Sarah Hohmann Avram J. Holmes Martine Hoogman Norbert Hosten Fleur M. Howells Hilleke E. Hulshoff Pol Chaim Huyser Neda Jahanshad Anthony James Terry L. Jernigan Jiyang Jiang Erik G. Jönsson John A. Joska René S. Kahn

Delineating the association of age and cortical thickness in healthy individuals is critical given with cognition behavior. Previous research has shown that robust estimates between brain morphometry require large-scale studies. In response, we used cross-sectional data from 17,075 aged 3-90 years Enhancing Neuroimaging Genetics through Meta-Analysis (ENIGMA) Consortium to infer age-related changes thickness. We fractional polynomial (FP) regression quantify thickness, computed normalized...

10.1002/hbm.25364 article EN Human Brain Mapping 2021-02-17
Danai Dima Amirhossein Modabbernia Efstathios Papachristou Gaëlle E. Doucet Ingrid Agartz and 95 more Moji Aghajani Theophilus N. Akudjedu Anton Albajes‐Eizagirre Dag Alnæs Kathryn Alpert Micael Andersson Nancy C. Andreasen Ole A. Andreassen Philip Asherson Tobias Banaschewski Núria Bargalló Sarah Baumeister Ramona Baur‐Streubel Alessandro Bertolino Aurora Bonvino Dorret I. Boomsma Stefan Borgwardt Josiane Bourque Daniel Brandeis Alan Breier Henry Brodaty Rachel M. Brouwer Jan K. Buitelaar Geraldo F. Busatto Randy L. Buckner Vince D. Calhoun Erick J. Canales‐Rodríguez Dara M. Cannon Xavier Caseras F. Xavier Castellanos Simon Červenka Tiffany M. Chaim‐Avancini Christopher R. K. Ching Viktoria Chubar Vincent P. Clark Patricia Conrod Annette Conzelmann Benedicto Crespo‐Facorro Fabrice Crivello Eveline A. Crone Udo Dannlowski Anders M. Dale Christopher G. Davey Eco J. C. de Geus Lieuwe de Haan Greig I. de Zubicaray Anouk den Braber Erin W. Dickie Annabella Di Giorgio Nhat Trung Doan Erlend S. Dørum Stefan Ehrlich Susanne Erk Thomas Espeseth Helena Fatouros‐Bergman Simon E. Fisher Jean‐Paul Fouché Barbara Franke Thomas Frodl Paola Fuentes‐Claramonte David C. Glahn Ian H. Gotlib Hans J. Grabe O. Grimm Nynke A. Groenewold Dominik Grotegerd Oliver Gruber Patricia Gruner Rachel E. Gur Ruben C. Gur Tim Hahn Ben J. Harrison Catharine A Hartman Sean N. Hatton Andreas Heinz Dirk J. Heslenfeld Derrek P. Hibar Ian B. Hickie Beng‐Choon Ho Pieter J. Hoekstra Sarah Hohmann Avram J. Holmes Martine Hoogman Norbert Hosten Fleur M. Howells Hilleke E. Hulshoff Pol Chaim Huyser Neda Jahanshad Anthony James Terry L. Jernigan Jiyang Jiang Erik G. Jönsson John A. Joska René S. Kahn Andrew Kalnin

Age has a major effect on brain volume. However, the normative studies available are constrained by small sample sizes, restricted age coverage and significant methodological variability. These limitations introduce inconsistencies may obscure or distort lifespan trajectories of morphometry. In response, we capitalized resources Enhancing Neuroimaging Genetics through Meta-Analysis (ENIGMA) Consortium to examine age-related inferred from cross-sectional measures ventricles, basal ganglia...

10.1002/hbm.25320 article EN cc-by Human Brain Mapping 2021-02-11

Abstract Estimating age based on neuroimaging‐derived data has become a popular approach to developing markers for brain integrity and health. While variety of machine‐learning algorithms can provide accurate predictions characteristics, there is significant variation in model accuracy reported across studies. We predicted two population‐based datasets, assessed the effects range, sample size age‐bias correction performance metrics Pearson's correlation coefficient ( r ), determination R 2...

10.1002/hbm.25837 article EN cc-by Human Brain Mapping 2022-03-21
Dick Schijven Merel C. Postema Masaki Fukunaga Junya Matsumoto Kenichiro Miura and 95 more Sonja M. C. de Zwarte Neeltje E.M. van Haren Wiepke Cahn Hilleke E. Hulshoff Pol René S. Kahn Rosa Ayesa‐Arriola Víctor Ortiz‐García de la Foz Diana Tordesillas‐Gutiérrez Javier Vázquez‐Bourgon Benedicto Crespo‐Facorro Dag Alnæs Andreas Dahl Lars T. Westlye Ingrid Agartz Ole A. Andreassen Erik G. Jönsson Peter Kochunov Jason Bruggemann Stanley V. Catts Patricia T. Michie Bryan Mowry Yann Quidé Paul E. Rasser Ulrich Schall Rodney J. Scott Vaughan J. Carr Melissa J. Green Frans Henskens Carmel M. Loughland Christos Pantelis Cynthia Shannon Weickert Thomas W. Weickert Lieuwe de Haan Katharina Brosch Julia‐Katharina Pfarr Kai G. Ringwald Frederike Stein Andreas Jansen Tilo Kircher Igor Nenadić Bernd Krämer Oliver Gruber Theodore D. Satterthwaite Juan Bustillo Daniel H. Mathalon Adrian Preda Vince D. Calhoun Judith M. Ford Steven G. Potkin Jing Chen Yunlong Tan Zhiren Wang Hong Xiang Fengmei Fan Fabio Bernardoni Stefan Ehrlich Paola Fuentes‐Claramonte María Ángeles García‐León Amalia Guerrero‐Pedraza Raymond Salvador Salvador Sarró Edith Pomarol‐Clotet Valentina Ciullo Fabrizio Piras Daniela Vecchio Nerisa Banaj Gianfranco Spalletta Stijn Michielse Thérèse van Amelsvoort Erin W. Dickie Aristotle N. Voineskos Kang Sim Simone Ciufolini Paola Dazzan Robin M. Murray Woo‐Sung Kim Young‐Chul Chung Christina Andreou André Schmidt Stefan Borgwardt Andrew M. McIntosh Heather C. Whalley Stephen M. Lawrie Stefan S. du Plessis Hilmar Luckhoff Freda Scheffler Robin Emsley Dominik Grotegerd Rebekka Lencer Udo Dannlowski Jesse T. Edmond Kelly Rootes-Murdy Julia M. Stephen Andrew R. Mayer Linda A. Antonucci

Left–right asymmetry is an important organizing feature of the healthy brain that may be altered in schizophrenia, but most studies have used relatively small samples and heterogeneous approaches, resulting equivocal findings. We carried out largest case–control study structural asymmetries with MRI data from 5,080 affected individuals 6,015 controls across 46 datasets, using a single image analysis protocol. Asymmetry indexes were calculated for global regional cortical thickness, surface...

10.1073/pnas.2213880120 article EN cc-by Proceedings of the National Academy of Sciences 2023-03-28

Schizophrenia is a severe mental disorder associated with derogated function across various domains, including perception, language, motor, emotional, and social behavior. Due to its complex symptomatology, schizophrenia often regarded of cognitive processes. Yet due the frequent involvement sensory perceptual symptoms, it has been hypothesized that functional disintegration between processes mediates heterogeneous comprehensive symptomatology. Here, using resting-state magnetic resonance...

10.1093/schbul/sbv060 article EN Schizophrenia Bulletin 2015-05-04

Significance Pregnancy is one of the most dynamic periods in a woman’s life, involving remarkable potential for brain plasticity that promotes cognitive and emotional adjustments to newborn. We provide evidence relationship between number childbirths aging 12,021 middle-aged women, suggesting parity-related changes may endure beyond postpartum period influence course neurobiological aging.

10.1073/pnas.1910666116 article EN Proceedings of the National Academy of Sciences 2019-10-15

Abstract The hippocampus is a heterogeneous structure, comprising histologically distinguishable subfields. These subfields are differentially involved in memory consolidation, spatial navigation and pattern separation, complex functions often impaired individuals with brain disorders characterized by reduced hippocampal volume, including Alzheimer’s disease (AD) schizophrenia. Given the structural functional heterogeneity of formation, we sought to characterize subfields’ genetic...

10.1038/s41380-018-0262-7 article EN cc-by Molecular Psychiatry 2018-10-02

Multimodal imaging enables sensitive measures of the architecture and integrity human brain, but high-dimensional nature advanced brain features poses inherent challenges for analyses interpretations. Multivariate age prediction reduces dimensionality to one biologically informative summary measure with potential assessing deviations from normal lifespan trajectories. A number studies documented remarkably accurate prediction, differential trajectories cognitive sensitivity distinct tissue...

10.7717/peerj.5908 article EN cc-by PeerJ 2018-11-30

Many mental disorders emerge during adolescence, which may reflect a cost of the potential for brain plasticity offered this period. Brain dysconnectivity has been proposed as common factor across diagnostic categories.To investigate hypothesis that is transdiagnostic phenotype in adolescence with increased susceptibility and symptoms psychiatric disease.We investigated clinical well cognitive function 6487 individuals aged 8 to 21 years from November 1, 2009, 30, 2011, Philadelphia...

10.1001/jamapsychiatry.2017.4277 article EN JAMA Psychiatry 2018-01-24

Abstract As findings on the neuropathological and behavioral components of Alzheimer’s disease (AD) continue to accrue, converging evidence suggests that macroscale brain functional disruptions may mediate their association. Recent developments theoretical neuroscience indicate instantaneous patterns connectivity metastability be a key mechanism in neural communication underlying cognitive performance. However, potential significance these across AD spectrum remains virtually unexplored. We...

10.1038/srep40268 article EN cc-by Scientific Reports 2017-01-11

It is unclear if and how exogenous oxytocin (OT) reaches the brain to improve social behavior cognition what optimal dose for OT response. To better understand delivery routes of intranasal administration dose-response, we compared amygdala response facial stimuli by means functional magnetic resonance imaging (fMRI) in four treatment conditions, including two different doses using a novel Breath Powered device, intravenous (IV) OT, which provided similar concentrations blood plasma placebo....

10.1016/j.psyneuen.2016.04.010 article EN cc-by-nc-nd Psychoneuroendocrinology 2016-04-26
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