| 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 | 396 | 2019 |
| 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 | 113 | 2020 |
| 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 | 107 | 2016 |
| 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 | 90 | 2018 |
| 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 | 56 | 2022 |
| 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 | 52 | 2020 |
| 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 | 40 | 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 | 27 | 2018 |
| 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 | 26 | 2020 |
| 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 | 26 | 2018 |
| 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, OD Leinhard, ... NeuroImage: Clinical, 102949, 2022 | 25 | 2022 |
| Reliability, sensitivity, and predictive value of fMRI during multiple object tracking as a marker of cognitive training gain in combination with tDCS in stroke survivors KK Kolskår, G Richard, D Alnæs, ES Dørum, AM Sanders, KM Ulrichsen, ... Human brain mapping 42 (4), 1167-1181, 2021 | 22 | 2021 |
| 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 | 21 | 2021 |
| Structural brain disconnectivity mapping of post-stroke fatigue KM Ulrichsen, KK Kolskår, G Richard, D Alnæs, ES Dørum, AM Sanders, ... NeuroImage: Clinical 30, 102635, 2021 | 20 | 2021 |
| Functional brain network modeling in sub-acute stroke patients and healthy controls during rest and continuous attentive tracking ES Dørum, T Kaufmann, D Alnæs, G Richard, KK Kolskår, A Engvig, ... Heliyon 6 (9), e04854, 2020 | 13 | 2020 |
| TVA-based modeling of short-term memory capacity, speed of processing and perceptual threshold in chronic stroke patients undergoing cognitive training: case-control … G Richard, A Petersen, KM Ulrichsen, KK Kolskår, D Alnæs, AM Sanders, ... PeerJ 8, e9948, 2020 | 9 | 2020 |
| Structural disconnectome mapping of cognitive function in chronic stroke patients KK Kolskår, KM Ulrichsen, G Richard, ES Dørum, MT de Schotten, ... medRxiv, 2021 | 8* | 2021 |
| Genetic control of variability in subcortical and intracranial volumes A Córdova-Palomera, D van der Meer, T Kaufmann, F Bettella, Y Wang, ... Molecular psychiatry, 1-8, 2020 | 8 | 2020 |
| Dissecting the cognitive phenotype of post-stroke fatigue using drift diffusion modeling of sustained attention KM Ulrichsen, D Alnæs, KK Kolskår, G Richard, AM Sanders, ES Dørum, ... bioRxiv, 582502, 2019 | 3 | 2019 |
| A randomized, double blind study of computerized cognitive training in combination with transcranial direct current stimulation in stroke patients–utility of fMRI as marker for … KK Kolskår, G Richard, D Alnæs, ES Dørum, AM Sanders, KM Ulrichsen, ... bioRxiv, 603985, 2020 | 2 | 2020 |
