| 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 | 388 | 2019 |
| Virtual reality training for upper extremity in subacute stroke (VIRTUES) a multicenter RCT I Brunner, JS Skouen, H Hofstad, J Aßmus, F Becker, AM Sanders, ... Neurology 89 (24), 2413-2421, 2017 | 117 | 2017 |
| 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 |
| 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 | 89 | 2018 |
| Virtual reality training for upper extremity in subacute stroke (VIRTUES): study protocol for a randomized controlled multicenter trial I Brunner, JS Skouen, H Hofstad, LI Strand, F Becker, AM Sanders, ... BMC neurology 14, 1-5, 2014 | 57 | 2014 |
| Cardiometabolic risk factors associated with brain age and accelerated brain ageing D Beck, AMG de Lange, ML Pedersen, D Alnæs, II Maximov, I Voldsbekk, ... Human brain mapping 43 (2), 700-720, 2022 | 55 | 2022 |
| 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 | 52 | 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 | 51 | 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 | 39 | 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, ... NeuroImage: Clinical 33, 102949, 2022 | 24 | 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 |
| Enabling personalisation of remote elderly assistance L Corcella, M Manca, JE Nordvik, F Paternò, AM Sanders, C Santoro Multimedia Tools and Applications 78 (15), 21557-21583, 2019 | 18 | 2019 |
| 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), 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 |
| No add‐on effect of tDCS on fatigue and depression in chronic stroke patients: A randomized sham‐controlled trial combining tDCS with computerized cognitive training KM Ulrichsen, KK Kolskår, G Richard, ML Pedersen, D Alnæs, ES Dørum, ... Brain and Behavior 12 (7), e2643, 2022 | 8 | 2022 |
