| The genetic architecture of the human cerebral cortex KL Grasby, N Jahanshad, JN Painter, L Colodro-Conde, J Bralten, ... Science 367 (6484), eaay6690, 2020 | 386 | 2020 |
| Common brain disorders are associated with heritable patterns of apparent aging of the brain T Kaufmann, D van der Meer, NT Doan, E Schwarz, MJ Lund, I Agartz, ... Nature neuroscience 22 (10), 1617-1623, 2019 | 278 | 2019 |
| Clinical utility of mindfulness training in the treatment of fatigue after stroke, traumatic brain injury and multiple sclerosis: a systematic literature review and meta-analysis KM Ulrichsen, T Kaufmann, ES Dørum, KK Kolskår, G Richard, D Alnæs, ... Frontiers in psychology 7, 912, 2016 | 87 | 2016 |
| Brain scans from 21,297 individuals reveal the genetic architecture of hippocampal subfield volumes D Van der Meer, J Rokicki, T Kaufmann, A Córdova-Palomera, ... Molecular psychiatry 25 (11), 3053-3065, 2020 | 86 | 2020 |
| Assessing distinct patterns of cognitive aging using tissue-specific brain age prediction based on diffusion tensor imaging and brain morphometry G Richard, K Kolskår, AM Sanders, T Kaufmann, A Petersen, NT Doan, ... PeerJ 6, e5908, 2018 | 79 | 2018 |
| Greater male than female variability in regional brain structure across the lifespan LM Wierenga, GE Doucet, D Dima, I Agartz, M Aghajani, TN Akudjedu, ... Human brain mapping 43 (1), 470-499, 2022 | 62 | 2022 |
| Cross-sectional and longitudinal MRI brain scans reveal accelerated brain aging in multiple sclerosis EA Høgestøl, T Kaufmann, GO Nygaard, MK Beyer, P Sowa, JE Nordvik, ... Frontiers in neurology 10, 450, 2019 | 52 | 2019 |
| Dose response of the 16p11. 2 distal copy number variant on intracranial volume and basal ganglia IE Sønderby, Ó Gústafsson, NT Doan, DP Hibar, S Martin-Brevet, ... Molecular psychiatry 25 (3), 584-602, 2020 | 47 | 2020 |
| Brain age prediction in stroke patients: Highly reliable but limited sensitivity to cognitive performance and response to cognitive training G Richard, K Kolskår, KM Ulrichsen, T Kaufmann, D Alnæs, AM Sanders, ... NeuroImage: Clinical 25, 102159, 2020 | 37 | 2020 |
| Cardiometabolic risk factors associated with brain age and accelerate brain ageing D Beck, AMG de Lange, ML Pedersen, D Alnæs, II Maximov, I Voldsbekk, ... Human brain mapping 43 (2), 700-720, 2022 | 29 | 2022 |
| Brain age prediction reveals aberrant brain white matter in schizophrenia and bipolar disorder: A multisample diffusion tensor imaging study S Tønnesen, T Kaufmann, AMG de Lange, G Richard, NT Doan, D Alnæs, ... Biological Psychiatry: Cognitive Neuroscience and Neuroimaging 5 (12), 1095-1103, 2020 | 29 | 2020 |
| Karolinska Schizophrenia Project (KaSP). Common brain disorders are associated with heritable patterns of apparent aging of the brain T Kaufmann, D van der Meer, NT Doan, E Schwarz, MJ Lund, I Agartz, ... Nat Neurosci 22 (10), 1617-1623, 2019 | 27 | 2019 |
| Genetics of brain age suggest an overlap with common brain disorders T Kaufmann, D van der Meer, NT Doan, E Schwarz, MJ Lund, I Agartz, ... BioRxiv, 303164, 2018 | 27 | 2018 |
| Longitudinal stability of the brain functional connectome is associated with episodic memory performance in aging OT Ousdal, T Kaufmann, K Kolskår, A Vik, E Wehling, AJ Lundervold, ... Human Brain Mapping 41 (3), 697-709, 2020 | 26 | 2020 |
| Key brain network nodes show differential cognitive relevance and developmental trajectories during childhood and adolescence KK Kolskår, D Alnæs, T Kaufmann, G Richard, AM Sanders, KM Ulrichsen, ... Eneuro 5 (4), 2018 | 23 | 2018 |
| Genetic determinants of cortical structure (thickness, surface area and volumes) among disease free adults in the CHARGE Consortium E Hofer, GV Roshchupkin, HHH Adams, MJ Knol, H Lin, S Li, H Zare, ... BioRxiv, 409649, 2018 | 19 | 2018 |
| Increased sensitivity to age-related differences in brain functional connectivity during continuous multiple object tracking compared to resting-state ES Dørum, T Kaufmann, D Alnæs, OA Andreassen, G Richard, KK Kolskår, ... NeuroImage 148, 364-372, 2017 | 18 | 2017 |
| Dissecting the cognitive phenotype of post‐stroke fatigue using computerized assessment and computational modeling of sustained attention KM Ulrichsen, D Alnæs, KK Kolskår, G Richard, AM Sanders, ES Dørum, ... European Journal of Neuroscience 52 (7), 3828-3845, 2020 | 15 | 2020 |
| Linking objective measures of physical activity and capability with brain structure in healthy community dwelling older adults AM Sanders, G Richard, K Kolskår, KM Ulrichsen, T Kaufmann, D Alnæs, ... NeuroImage: Clinical 31, 102767, 2021 | 14 | 2021 |
| Adipose tissue distribution from body MRI is associated with cross-sectional and longitudinal brain age in adults D Beck, AMG De Lange, D Alnæs, II Maximov, ML Pedersen, ... NeuroImage: Clinical 33, 102949, 2022 | 13 | 2022 |
Dag AlnæsNORMENT, Oslo University Hospital, NorwayVerified email at psykologi.uio.no
