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Jan E Nordvik

Showing results (11-20 of 33) with videos related to

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Neuroimage|October 11, 2020
White matter microstructure across the adult lifespan: A mixed longitudinal and cross-sectional study using advanced diffusion models and brain-age predictionDani Beck, Ann-Marie G de Lange, Ivan I Maximov, et al.
Frontiers in Psychology|July 23, 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-analysisKristine M Ulrichsen, Tobias Kaufmann, Erlend S Dørum, et al.
Eneuro|August 4, 2018
Key Brain Network Nodes Show Differential Cognitive Relevance and Developmental Trajectories during Childhood and AdolescenceKnut K Kolskår, Dag Alnæs, Tobias Kaufmann, et al.
Peerj|November 16, 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 performanceGeneviève Richard, Anders Petersen, Kristine Moe Ulrichsen, et al.
Human Brain Mapping|November 20, 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 survivorsKnut K Kolskår, Geneviève Richard, Dag Alnaes, et al.
Frontiers in Neurology|May 23, 2019
Cross-Sectional and Longitudinal MRI Brain Scans Reveal Accelerated Brain Aging in Multiple SclerosisEinar A Høgestøl, Tobias Kaufmann, Gro O Nygaard, et al.
The European Journal of Neuroscience|June 13, 2020
Dissecting the cognitive phenotype of post-stroke fatigue using computerized assessment and computational modeling of sustained attentionKristine M Ulrichsen, Dag Alnaes, Knut K Kolskår, et al.
Brain and Behavior|June 6, 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 trainingKristine M Ulrichsen, Knut K Kolskår, Geneviève Richard, et al.
Neuroimage. Clinical|April 2, 2021
Structural brain disconnectivity mapping of post-stroke fatigueKristine M Ulrichsen, Knut K Kolskår, Geneviève Richard, et al.
Human Brain Mapping|October 9, 2021
Cardiometabolic risk factors associated with brain age and accelerate brain ageingDani Beck, Ann-Marie G de Lange, Mads L Pedersen, et al.
Pageof 4

Showing results (11-20 of 33) with videos related to

Sort By:
Pageof 4
Neuroimage|October 11, 2020
White matter microstructure across the adult lifespan: A mixed longitudinal and cross-sectional study using advanced diffusion models and brain-age predictionDani Beck, Ann-Marie G de Lange, Ivan I Maximov, et al.
Frontiers in Psychology|July 23, 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-analysisKristine M Ulrichsen, Tobias Kaufmann, Erlend S Dørum, et al.
Eneuro|August 4, 2018
Key Brain Network Nodes Show Differential Cognitive Relevance and Developmental Trajectories during Childhood and AdolescenceKnut K Kolskår, Dag Alnæs, Tobias Kaufmann, et al.
Peerj|November 16, 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 performanceGeneviève Richard, Anders Petersen, Kristine Moe Ulrichsen, et al.
Human Brain Mapping|November 20, 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 survivorsKnut K Kolskår, Geneviève Richard, Dag Alnaes, et al.
Frontiers in Neurology|May 23, 2019
Cross-Sectional and Longitudinal MRI Brain Scans Reveal Accelerated Brain Aging in Multiple SclerosisEinar A Høgestøl, Tobias Kaufmann, Gro O Nygaard, et al.
The European Journal of Neuroscience|June 13, 2020
Dissecting the cognitive phenotype of post-stroke fatigue using computerized assessment and computational modeling of sustained attentionKristine M Ulrichsen, Dag Alnaes, Knut K Kolskår, et al.
Brain and Behavior|June 6, 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 trainingKristine M Ulrichsen, Knut K Kolskår, Geneviève Richard, et al.
Neuroimage. Clinical|April 2, 2021
Structural brain disconnectivity mapping of post-stroke fatigueKristine M Ulrichsen, Knut K Kolskår, Geneviève Richard, et al.
Human Brain Mapping|October 9, 2021
Cardiometabolic risk factors associated with brain age and accelerate brain ageingDani Beck, Ann-Marie G de Lange, Mads L Pedersen, et al.
Pageof 4