Geneviève Richard

• Sanders, Anne-Marthe; Richard, Geneviève; Kolskår, Knut-Kristian; Ulrichsen, Kristine Moe; Alnæs, Dag & Dørum, Erlend Solberg [Vis alle 10 forfattere av denne artikkelen] (2024). Exploring the associations between physical activity level, cognitive performance, and response to computerized cognitive training among chronic stroke patients. Brain and Behavior. ISSN 2162-3279. 14(2). doi: 10.1002/brb3.3406.
• Slapø, Nora Berz; Nerland, Stener; Jørgensen, Kjetil Nordbø; Mørch-Johnsen, Lynn Egeland; Pettersen, Johanne Hagen & Roelfs, Daniel [Vis alle 22 forfattere av denne artikkelen] (2023). Auditory Cortex Thickness Is Associated With N100 Amplitude in Schizophrenia Spectrum Disorders. Schizophrenia Bulletin Open. ISSN 2632-7899. 4(1). doi: 10.1093/schizbullopen/sgad015. Fulltekst i vitenarkiv
• Sanders, Anne-Marthe; Richard, Geneviève; Kolskår, Knut-Kristian; Ulrichsen, Kristine Moe; Alnæs, Dag & Beck, Dani [Vis alle 14 forfattere av denne artikkelen] (2023). Associations between everyday activities and arterial spin labeling-derived cerebral blood flow: A longitudinal study in community-dwelling elderly volunteers. Human Brain Mapping. ISSN 1065-9471. 44, s. 3377–3393. doi: 10.1002/hbm.26287. Fulltekst i vitenarkiv
• Slapø, Nora Berz; Jørgensen, Kjetil Nordbø; Elvsåshagen, Torbjørn; Nerland, Stener; Roelfs, Daniel & Valstad, Mathias [Vis alle 18 forfattere av denne artikkelen] (2023). Relationship between function and structure in the visual cortex in healthy individuals and in patients with severe mental disorders. Psychiatry Research : Neuroimaging. ISSN 0925-4927. 332. doi: 10.1016/j.pscychresns.2023.111633. Fulltekst i vitenarkiv Vis sammendrag

  Patients with schizophrenia spectrum disorders (SCZspect) and bipolar disorders (BD) show impaired function in the primary visual cortex (V1), indicated by altered visual evoked potential (VEP). While the neural substrate for altered VEP in these patients remains elusive, altered V1 structure may play a role. One previous study found a positive relationship between the amplitude of the P100 component of the VEP and V1 surface area, but not V1 thickness, in a small sample of healthy individuals. Here, we aimed to replicate these findings in a larger healthy control (HC) sample (n = 307) and to examine the same relationship in patients with SCZspect (n = 30) or BD (n = 45). We also compared the mean P100 amplitude, V1 surface area and V1 thickness between controls and patients and found no significant group differences. In HC only, we found a significant positive P100-V1 surface area association, while there were no significant P100-V1 thickness relationships in HC, SCZspect or BD. Together, our results confirm previous findings of a positive P100-V1 surface area association in HC, whereas larger patient samples are needed to further clarify the function-structure relationship in V1 in SCZspect and BD.

• Tesli, Natalia; Bell, Christina; Hjell, Gabriela; Fischer-Vieler, Thomas; Maximov, Ivan & Richard, Geneviève [Vis alle 14 forfattere av denne artikkelen] (2022). The age of violence: Mapping brain age in psychosis and psychopathy. NeuroImage: Clinical. ISSN 2213-1582. 36. doi: 10.1016/j.nicl.2022.103181. Fulltekst i vitenarkiv Vis sammendrag

  Young chronological age is one of the strongest predictors for antisocial behaviour in the general population and for violent offending in individuals with psychotic disorders. An individual's age can be predicted with high accuracy using neuroimaging and machine-learning. The deviation between predicted and chronological age, i.e., brain age gap (BAG) has been suggested to reflect brain health, likely relating partly to neurodevelopmental and aging-related processes and specific disease mechanisms. Higher BAG has been demonstrated in patients with psychotic disorders. However, little is known about the brain-age in violent offenders with psychosis and the possible associations with psychopathy traits. We estimated brain-age in 782 male individuals using T1-weighted MRI scans. Three machine learning models (random forest, extreme gradient boosting with and without hyper parameter tuning) were first trained and tested on healthy controls (HC, n = 586). The obtained BAGs were compared between HC and age matched violent offenders with psychosis (PSY-V, n = 38), violent offenders without psychosis (NPV, n = 20) and non-violent psychosis patients (PSY-NV, n = 138). We ran additional comparisons between BAG of PSY-V and PSY-NV and associations with Positive and Negative Syndrome Scale (PANSS) total score as a measure of psychosis symptoms. Psychopathy traits in the violence groups were assessed with Psychopathy Checklist-revised (PCL-R) and investigated for associations with BAG. We found significantly higher BAG in PSY-V compared with HC (4.9 years, Cohen's d = 0.87) and in PSY-NV compared with HC (2.7 years, d = 0.41). Total PCL-R scores were negatively associated with BAG in the violence groups (d = 1.17, p < 0.05). Additionally, there was a positive association between psychosis symptoms and BAG in the psychosis groups (d = 1.12, p < 0.05). While the significant BAG differences related to psychosis and not violence suggest larger BAG for psychosis, the negative associations between BAG and psychopathy suggest a complex interplay with psychopathy traits. This proof-of-concept application of brain age prediction in severe mental disorders with a history of violence and psychopathy traits should be tested and replicated in larger samples.

• Ulrichsen, Kristine Moe; Kolskår, Knut-Kristian; Richard, Geneviève; Pedersen, Mads Lund; Alnæs, Dag & Dørum, Erlend Solberg [Vis alle 13 forfattere av denne artikkelen] (2022). 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. Brain and Behavior. ISSN 2162-3279. 12(7). doi: 10.1002/brb3.2643. Fulltekst i vitenarkiv
• Kolskår, Knut-Kristian; Ulrichsen, Kristine Moe; Richard, Geneviève; Dørum, Erlend Solberg; de Schotten, Michel Thiebaut & Rokicki, Jaroslav [Vis alle 12 forfattere av denne artikkelen] (2022). Structural disconnectome mapping of cognitive function in poststroke patients. Brain and Behavior. ISSN 2162-3279. doi: 10.1002/brb3.2707. Fulltekst i vitenarkiv
• Nerland, Stener; Stokkan, Therese; Jørgensen, Kjetil Nordbø; Wortinger, Laura Anne ; Richard, Geneviève & Beck, Dani [Vis alle 11 forfattere av denne artikkelen] (2022). A comparison of intracranial volume estimation methods and their cross-sectional and longitudinal associations with age. Human Brain Mapping. ISSN 1065-9471. doi: 10.1002/hbm.25978. Fulltekst i vitenarkiv Vis sammendrag

  Intracranial volume (ICV) is frequently used in volumetric magnetic resonance imaging (MRI) studies, both as a covariate and as a variable of interest. Findings of associations between ICV and age have varied, potentially due to differences in ICV estimation methods. Here, we compared five commonly used ICV estimation methods and their associations with age. T1-weighted cross-sectional MRI data was included for 651 healthy individuals recruited through the NORMENT Centre (mean age = 46.1 years, range = 12.0–85.8 years) and 2410 healthy individuals recruited through the UK Biobank study (UKB, mean age = 63.2 years, range = 47.0–80.3 years), where longitudinal data was also available. ICV was estimated with FreeSurfer (eTIV and sbTIV), SPM12, CAT12, and FSL. We found overall high correlations across ICV estimation method, with the lowest observed correlations between FSL and eTIV (r = .87) and between FSL and CAT12 (r = .89). Widespread proportional bias was found, indicating that the agreement between methods varied as a function of head size. Body weight, age, sex, and mean ICV across methods explained the most variance in the differences between ICV estimation methods, indicating possible confounding for some estimation methods. We found both positive and negative cross-sectional associations with age, depending on dataset and ICV estimation method. Longitudinal ICV reductions were found for all ICV estimation methods, with annual percentage change ranging from −0.293% to −0.416%. This convergence of longitudinal results across ICV estimation methods offers strong evidence for age-related ICV reductions in mid- to late adulthood.

• Beck, Dani; de Lange, Ann-Marie Glasø; Alnæs, Dag; Maximov, Ivan; Pedersen, Mads Lund & Leinhard, Olof Dahlqvist [Vis alle 20 forfattere av denne artikkelen] (2022). Adipose tissue distribution from body MRI is associated with cross-sectional and longitudinal brain age in adults. NeuroImage: Clinical. ISSN 2213-1582. 33. doi: 10.1016/j.nicl.2022.102949. Fulltekst i vitenarkiv
• Valstad, Mathias; Roelfs, Daniel; Slapø, Nora Berz; Timpe, Clara Marie Fides; Rai, Ahsan & Matziorinis, Anna Maria [Vis alle 24 forfattere av denne artikkelen] (2021). Evidence for Reduced Long-Term Potentiation-Like Visual Cortical Plasticity in Schizophrenia and Bipolar Disorder. Schizophrenia Bulletin. ISSN 0586-7614. 47(6), s. 1751–1760. doi: 10.1093/schbul/sbab049. Fulltekst i vitenarkiv
• Monereo-Sánchez, Jennifer; Luykx, Jurjen J.; Pinzón-Espinosa, Justo; Richard, Geneviève; Motazedi, Ehsan & Westlye, Lars Tjelta [Vis alle 8 forfattere av denne artikkelen] (2021). Diphtheria And Tetanus Vaccination History Is Associated With Lower Odds of COVID-19 Hospitalization. Frontiers in Immunology. ISSN 1664-3224. 12, s. 1–7. doi: 10.3389/fimmu.2021.749264. Fulltekst i vitenarkiv
• Beck, Dani; de Lange, Ann-Marie G.; Pedersen, Mads L.; Alnæs, Dag; Maximov, Ivan & Voldsbekk, Irene [Vis alle 18 forfattere av denne artikkelen] (2021). Cardiometabolic risk factors associated with brain age and accelerate brain ageing. Human Brain Mapping. ISSN 1065-9471. s. 1–21. doi: 10.1002/hbm.25680. Fulltekst i vitenarkiv
• Sanders, Anne-Marthe; Richard, Geneviève; Kolskår, Knut-Kristian; Ulrichsen, Kristine Moe; Kaufmann, Tobias & Alnæs, Dag [Vis alle 11 forfattere av denne artikkelen] (2021). Linking objective measures of physical activity and capability with brain structure in healthy community dwelling older adults. NeuroImage: Clinical. ISSN 2213-1582. 31. doi: 10.1016/j.nicl.2021.102767. Fulltekst i vitenarkiv
• Ulrichsen, Kristine Moe; Kolskår, Knut-Kristian; Richard, Geneviève; Alnæs, Dag; Dørum, Erlend Solberg & Sanders, Anne-Marthe [Vis alle 13 forfattere av denne artikkelen] (2021). Structural brain disconnectivity mapping of post-stroke fatigue. NeuroImage: Clinical. ISSN 2213-1582. 30. doi: 10.1016/j.nicl.2021.102635. Fulltekst i vitenarkiv
• Voldsbekk, Irene; Barth, Claudia; Maximov, Ivan I.; Kaufmann, Tobias; Beck, Dani & Richard, Genevive [Vis alle 9 forfattere av denne artikkelen] (2021). A history of previous childbirths is linked to women's white matter brain age in midlife and older age. Human Brain Mapping. ISSN 1065-9471. s. 1–15. doi: 10.1002/hbm.25553. Fulltekst i vitenarkiv
• Dørum, Erlend Solberg; Kaufmann, Tobias; Alnæs, Dag; Richard, Geneviève; Kolskår, Knut-Kristian & Engvig, Andreas [Vis alle 11 forfattere av denne artikkelen] (2020). Functional brain network modeling in sub-acute stroke patients and healthy controls during rest and continuous attentive tracking. Heliyon. ISSN 2405-8440. 6:e04854(9), s. 1–11. doi: 10.1016/j.heliyon.2020.e04854. Fulltekst i vitenarkiv
• Valstad, Mathias; Moberget, Torgeir; Roelfs, Daniël Thomas Heimen; Slapø, Nora Berz; Timpe, Clara Marie Fides & Beck, Dani [Vis alle 18 forfattere av denne artikkelen] (2020). Experience-dependent modulation of the visual evoked potential: Testing effect sizes, retention over time, and associations with age in 415 healthy individuals. NeuroImage. ISSN 1053-8119. doi: 10.1016/j.neuroimage.2020.117302. Fulltekst i vitenarkiv
• Wierenga, Lara M.; Doucet, Gaëlle E.; Dima, Danai; Agartz, Ingrid; Aghajani, Moji & Akudjedu, Theophilus N. [Vis alle 50 forfattere av denne artikkelen] (2020). Greater male than female variability in regional brain structure across the lifespan. Human Brain Mapping. ISSN 1065-9471. 43, s. 470–499. doi: 10.1002/hbm.25204. Fulltekst i vitenarkiv
• Hofer, Edith; Roshchupkin, Gennady V.; Adams, Hieab H H; Knol, Maria J.; Lin, Honghuang & Li, Shuo [Vis alle 51 forfattere av denne artikkelen] (2020). Genetic correlations and genome-wide associations of cortical structure in general population samples of 22,824 adults. Nature Communications. ISSN 2041-1723. 11. doi: 10.1038/s41467-020-18367-y. Fulltekst i vitenarkiv
• Grasby, Katrina L.; Jahanshad, Neda; Painter, Jodie N; Colodro-Conde, Lucía; Bralten, Janita & Hibar, DP [Vis alle 50 forfattere av denne artikkelen] (2020). The genetic architecture of the human cerebral cortex. Science. ISSN 0036-8075. 367(6484). doi: 10.1126/science.aay6690. Fulltekst i vitenarkiv Vis sammendrag

  INTRODUCTION The cerebral cortex underlies our complex cognitive capabilities. Variations in human cortical surface area and thickness are associated with neurological, psychological, and behavioral traits and can be measured in vivo by magnetic resonance imaging (MRI). Studies in model organisms have identified genes that influence cortical structure, but little is known about common genetic variants that affect human cortical structure. RATIONALE To identify genetic variants associated with human cortical structure at both global and regional levels, we conducted a genome-wide association meta-analysis of brain MRI data from 51,665 individuals across 60 cohorts. We analyzed the surface area and average thickness of the whole cortex and 34 cortical regions with known functional specializations. RESULTS We identified 306 nominally genome-wide significant loci (P < 5 × 10−8) associated with cortical structure in a discovery sample of 33,992 participants of European ancestry. Of the 299 loci for which replication data were available, 241 loci influencing surface area and 14 influencing thickness remained significant after replication, with 199 loci passing multiple testing correction (P < 8.3 × 10−10; 187 influencing surface area and 12 influencing thickness). Common genetic variants explained 34% (SE = 3%) of the variation in total surface area and 26% (SE = 2%) in average thickness; surface area and thickness showed a negative genetic correlation (rG = −0.32, SE = 0.05, P = 6.5 × 10−12), which suggests that genetic influences have opposing effects on surface area and thickness. Bioinformatic analyses showed that total surface area is influenced by genetic variants that alter gene regulatory activity in neural progenitor cells during fetal development. By contrast, average thickness is influenced by active regulatory elements in adult brain samples, which may reflect processes that occur after mid-fetal development, such as myelination, branching, or pruning. When considered together, these results support the radial unit hypothesis that different developmental mechanisms promote surface area expansion and increases in thickness. To identify specific genetic influences on individual cortical regions, we controlled for global measures (total surface area or average thickness) in the regional analyses. After multiple testing correction, we identified 175 loci that influence regional surface area and 10 that influence regional thickness. Loci that affect regional surface area cluster near genes involved in the Wnt signaling pathway, which is known to influence areal identity. We observed significant positive genetic correlations and evidence of bidirectional causation of total surface area with both general cognitive functioning and educational attainment. We found additional positive genetic correlations between total surface area and Parkinson’s disease but did not find evidence of causation. Negative genetic correlations were evident between total surface area and insomnia, attention deficit hyperactivity disorder, depressive symptoms, major depressive disorder, and neuroticism. CONCLUSION This large-scale collaborative work enhances our understanding of the genetic architecture of the human cerebral cortex and its regional patterning. The highly polygenic architecture of the cortex suggests that distinct genes are involved in the development of specific cortical areas. Moreover, we find evidence that brain structure is a key phenotype along the causal pathway that leads from genetic variation to differences in general cognitive function.

• Kolskår, Knut-Kristian; Richard, Geneviève; Alnæs, Dag; Dørum, Erlend Solberg; Sanders, Anne-Marthe & Ulrichsen, Kristine Moe [Vis alle 10 forfattere av denne artikkelen] (2020). 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. Human Brain Mapping. ISSN 1065-9471. doi: 10.1002/hbm.25284. Fulltekst i vitenarkiv
• Rokicki, Jaroslav; Wolfers, Thomas; Nordhøy, Wibeke; Tesli, Natalia; Quintana, Daniel & Alnæs, Dag [Vis alle 20 forfattere av denne artikkelen] (2020). Multimodal imaging improves brain age prediction and reveals distinct abnormalities in patients with psychiatric and neurological disorders. Human Brain Mapping. ISSN 1065-9471. 42(6), s. 1714–1726. doi: 10.1002/hbm.25323. Fulltekst i vitenarkiv
• Ulrichsen, Kristine Moe; Alnæs, Dag; Kolskår, Knut-Kristian; Richard, Geneviève; Sanders, Anne-Marthe & Dørum, Erlend Solberg [Vis alle 11 forfattere av denne artikkelen] (2020). Dissecting the cognitive phenotype of post-stroke fatigue using computerized assessment and computational modeling of sustained attention. European Journal of Neuroscience. ISSN 0953-816X. 52(7), s. 3828–3845. doi: 10.1111/ejn.14861. Fulltekst i vitenarkiv
• Richard, Geneviève; Petersen, Anders; Ulrichsen, Kristine Moe; Kolskår, Knut-Kristian; Alnæs, Dag & Sanders, Anne-Marthe [Vis alle 10 forfattere av denne artikkelen] (2020). TVA-based modeling of short-term memory capacity, speed of processing and perceptual threshold in chronic stroke patients undergoing cognitive training: Case-control differences, reliability, and associations with cognitive performance. PeerJ. ISSN 2167-8359. 8:e9948, s. 1–21. doi: 10.7717/peerj.9948. Fulltekst i vitenarkiv
• Beck, Dani; de Lange, Ann-Marie Glasø; Maximov, Ivan; Richard, Geneviève; Andreassen, Ole Andreas & Nordvik, Jan E. [Vis alle 7 forfattere av denne artikkelen] (2020). White matter microstructure across the adult lifespan: A mixed longitudinal and cross-sectional study using advanced diffusion models and brain-age prediction. NeuroImage. ISSN 1053-8119. 224:117441, s. 1–14. doi: 10.1016/j.neuroimage.2020.117441. Fulltekst i vitenarkiv
• Còrdova Palomera, Aldo; van der Meer, Dennis; Kaufmann, Tobias; Bettella, Francesco; Wang, Yunpeng & Alnæs, Dag [Vis alle 40 forfattere av denne artikkelen] (2020). Genetic control of variability in subcortical and intracranial volumes. Molecular Psychiatry. ISSN 1359-4184. s. 1–8. doi: 10.1038/s41380-020-0664-1. Fulltekst i vitenarkiv
• Tønnesen, Siren; Kaufmann, Tobias; de Lange, Ann-Marie Glasø; Richard, Geneviève; Doan, Nhat Trung & Alnæs, Dag [Vis alle 33 forfattere av denne artikkelen] (2020). Brain age prediction reveals aberrant brain white matter in schizophrenia and bipolar disorder: A multisample diffusion tensor imaging study. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging. ISSN 2451-9022. 5(12), s. 1095–1103. doi: 10.1016/j.bpsc.2020.06.014. Fulltekst i vitenarkiv
• Liew, Sook-Lei; Zavaliangos-Petropulu, Artemis; Jahanshad, Neda; Lang, Catherine E.; Hayward, Kathryn S. & Lohse, Keith R. [Vis alle 67 forfattere av denne artikkelen] (2020). The ENIGMA Stroke Recovery Working Group: Big data neuroimaging to study brain - behavior relationships after stroke. Human Brain Mapping. ISSN 1065-9471. s. 1–20. doi: 10.1002/hbm.25015. Fulltekst i vitenarkiv
• Richard, Geneviève; Kolskår, Knut-Kristian; Ulrichsen, Kristine Moe; Kaufmann, Tobias; Alnæs, Dag & Sanders, Anne-Marthe [Vis alle 12 forfattere av denne artikkelen] (2019). Brain age prediction in stroke patients: Highly reliable but limited sensitivity to cognitive performance and response to cognitive training. NeuroImage: Clinical. ISSN 2213-1582. 25, s. 1–11. doi: 10.1016/j.nicl.2019.102159. Fulltekst i vitenarkiv
• Høgestøl, Einar August; Kaufmann, Tobias; Nygaard, Gro Owren; Beyer, Mona K.; Sowa, Piotr & Nordvik, Jan Egil [Vis alle 11 forfattere av denne artikkelen] (2019). Cross-sectional and longitudinal MRI brain scans reveal accelerated brain aging in multiple sclerosis. Frontiers in Neurology. ISSN 1664-2295. 10:450, s. 1–9. doi: 10.3389/fneur.2019.00450. Fulltekst i vitenarkiv
• Kaufmann, Tobias; van der Meer, Dennis; Doan, Nhat Trung; Schwarz, Emanuel; Lund, Martina Jonette & Agartz, Ingrid [Vis alle 84 forfattere av denne artikkelen] (2019). Common brain disorders are associated with heritable patterns of apparent aging of the brain. Nature Neuroscience. ISSN 1097-6256. 22(10), s. 1617–1623. doi: 10.1038/s41593-019-0471-7. Fulltekst i vitenarkiv
• Richard, Geneviève; Kolskår, Knut-Kristian; Sanders, Anne-Marthe; Kaufmann, Tobias; Petersen, Anders & Doan, Nhat Trung [Vis alle 13 forfattere av denne artikkelen] (2018). Assessing distinct patterns of cognitive aging using tissue-specific brain age prediction based on diffusion tensor imaging and brain morphometry. PeerJ. ISSN 2167-8359. doi: 10.7717/peerj.5908. Fulltekst i vitenarkiv Vis sammendrag

  Multimodal imaging enables sensitive measures of the architecture and integrity of the human brain, but the high-dimensional nature of advanced brain imaging features poses inherent challenges for the analyses and interpretations. Multivariate age prediction reduces the dimensionality to one biologically informative summary measure with potential for assessing deviations from normal lifespan trajectories. A number of studies documented remarkably accurate age prediction, but the differential age trajectories and the cognitive sensitivity of distinct brain tissue classes have yet to be adequately characterized. Exploring differential brain age models driven by tissue- specific classifiers provides a hitherto unexplored opportunity to disentangle indepen- dent sources of heterogeneity in brain biology. We trained machine-learning models to estimate brain age using various combinations of FreeSurfer based morphometry and diffusion tensor imaging based indices of white matter microstructure in 612 healthy controls aged 18–87 years. To compare the tissue-specific brain ages and their cognitive sensitivity, we applied each of the 11 models in an independent and cognitively well- characterized sample ( n = 265, 20–88 years). Correlations between true and estimated age and mean absolute error (MAE) in our test sample were highest for the most comprehensive brain morphometry ( r = 0 . 83, CI:0.78–0.86, MAE = 6.76 years) and white matter microstructure ( r = 0 . 79, CI:0.74–0.83, MAE = 7.28 years) models, confirming sensitivity and generalizability. The deviance from the chronological age were sensitive to performance on several cognitive tests for various models, including spatial Stroop and symbol coding, indicating poorer performance in individuals with an over-estimated age. Tissue-specific brain age models provide sensitive measures of brain integrity, with implications for the study of a range of brain disorders.

• van der Meer, Dennis; Rokicki, Jaroslav; Kaufmann, Tobias; Còrdova Palomera, Aldo; Moberget, Torgeir & Alnæs, Dag [Vis alle 54 forfattere av denne artikkelen] (2018). Brain scans from 21,297 individuals reveal the genetic architecture of hippocampal subfield volumes. Molecular Psychiatry. ISSN 1359-4184. s. 1–13. doi: 10.1038/s41380-018-0262-7. Fulltekst i vitenarkiv
• Kolskår, Knut-Kristian; Alnæs, Dag; Kaufmann, Tobias; Richard, Geneviéve´; Sanders, Anne-Marthe & Ulrichsen, Kristine Moe [Vis alle 10 forfattere av denne artikkelen] (2018). Key Brain Network Nodes Show Differential Cognitive Relevance and Developmental Trajectories during Childhood and Adolescence. eNeuro. ISSN 2373-2822. 5(4), s. 1–13. doi: 10.1523/ENEURO.0092-18.2018. Fulltekst i vitenarkiv
• Dørum, Erlend Solberg; Kaufmann, Tobias; Alnæs, Dag; Andreassen, Ole Andreas; Richard, Geneviéve´ & Kolskår, Knut-Kristian [Vis alle 8 forfattere av denne artikkelen] (2017). Increased sensitivity to age-related differences in brain functional connectivity during continuous multiple object tracking compared to resting-state. NeuroImage. ISSN 1053-8119. 148, s. 364–372. doi: 10.1016/j.neuroimage.2017.01.048.
• Dørum, Erlend Solberg; Alnæs, Dag; Kaufmann, Tobias; Richard, Geneviéve´; Lund, Martina Jonette & Tønnesen, Siren [Vis alle 15 forfattere av denne artikkelen] (2016). Age-related differences in brain network activation and co-activation during multiple object tracking. Brain and Behavior. ISSN 2162-3279. 6(11). doi: 10.1002/brb3.533. Fulltekst i vitenarkiv
• Ulrichsen, Kristine Moe; Kaufmann, Tobias; Dørum, Erlend Solberg; Kolskår, Knut-Kristian; Richard, Geneviéve´ & Alnæs, Dag [Vis alle 9 forfattere av denne artikkelen] (2016). 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. Frontiers in Psychology. ISSN 1664-1078. 7. doi: 10.3389/fpsyg.2016.00912. Fulltekst i vitenarkiv
• Alnæs, Dag; Sneve, Markus Handal; Richard, Geneviéve´; Skåtun, Kristina Cecilie; Kaufmann, Tobias & Nordvik, Jan Egil [Vis alle 10 forfattere av denne artikkelen] (2015). Functional connectivity indicates differential roles for the intraparietal sulcus and the superior parietal lobule in multiple object tracking. NeuroImage. ISSN 1053-8119. 123, s. 129–137. doi: 10.1016/j.neuroimage.2015.08.029.
• Alnæs, Dag; Kaufmann, Tobias; Richard, Geneviéve´; Duff, Eugene; Sneve, Markus Handal & Endestad, Tor [Vis alle 10 forfattere av denne artikkelen] (2015). Attentional load modulates large-scale functional brain connectivity beyond the core attention networks. NeuroImage. ISSN 1053-8119. 109, s. 260–272. doi: 10.1016/j.neuroimage.2015.01.026. Vis sammendrag

  In line with the notion of a continuously active and dynamic brain, functional networks identified during rest correspond with those revealed by task-fMRI. Characterizing the dynamic cross-talk between these network nodes is key to understanding the successful implementation of effortful cognitive processing in healthy individuals and its breakdown in a variety of conditions involving aberrant brain biology and cognitive dysfunction. We employed advanced network modeling on fMRI data collected during a task involving sustained attentive tracking of objects at two load levels and during rest. Using multivariate techniques, we demonstrate that attentional load levels can be significantly discriminated, and from a resting-state condition, the accuracy approaches 100%, by means of estimates of between-node functional connectivity. Several network edges were modulated during task engagement: The dorsal attention network increased connectivity with a visual node, while decreasing connectivity with motor and sensory nodes. Also, we observed a decoupling between left and right hemisphere dorsal visual streams. These results support the notion of dynamic network reconfigurations based on attentional effort. No simple correspondence between node signal amplitude change and node connectivity modulations was found, thus network modeling provides novel information beyond what is revealed by conventional task-fMRI analysis. The current decoding of attentional states confirms that edge connectivity contains highly predictive information about the mental state of the individual, and the approach shows promise for the utilization in clinical contexts.

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