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Erlend S Dørum

Showing results (1-10 of 23) with videos related to

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Neuroimage|January 24, 2017
Increased sensitivity to age-related differences in brain functional connectivity during continuous multiple object tracking compared to resting-stateErlend S Dørum, Tobias Kaufmann, Dag Alnæs, 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.
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.
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.
Heliyon|September 30, 2020
Functional brain network modeling in sub-acute stroke patients and healthy controls during rest and continuous attentive trackingErlend S Dørum, Tobias Kaufmann, Dag Alnæs, et al.
Neuroimage. Clinical|July 30, 2021
Linking objective measures of physical activity and capability with brain structure in healthy community dwelling older adultsAnne-Marthe Sanders, Geneviève Richard, Knut Kolskår, 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.
Neuroimage. Clinical|January 14, 2020
Brain age prediction in stroke patients: Highly reliable but limited sensitivity to cognitive performance and response to cognitive trainingGeneviève Richard, Knut Kolskår, Kristine M Ulrichsen, et al.
Brain and Behavior|July 21, 2022
Structural disconnectome mapping of cognitive function in poststroke patientsKnut K Kolskår, Kristine M Ulrichsen, Genevieve Richard, et al.
Peerj|December 12, 2018
Assessing distinct patterns of cognitive aging using tissue-specific brain age prediction based on diffusion tensor imaging and brain morphometryGeneviève Richard, Knut Kolskår, Anne-Marthe Sanders, et al.
Pageof 3

Showing results (1-10 of 23) with videos related to

Sort By:
Pageof 3
Neuroimage|January 24, 2017
Increased sensitivity to age-related differences in brain functional connectivity during continuous multiple object tracking compared to resting-stateErlend S Dørum, Tobias Kaufmann, Dag Alnæs, 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.
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.
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.
Heliyon|September 30, 2020
Functional brain network modeling in sub-acute stroke patients and healthy controls during rest and continuous attentive trackingErlend S Dørum, Tobias Kaufmann, Dag Alnæs, et al.
Neuroimage. Clinical|July 30, 2021
Linking objective measures of physical activity and capability with brain structure in healthy community dwelling older adultsAnne-Marthe Sanders, Geneviève Richard, Knut Kolskår, 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.
Neuroimage. Clinical|January 14, 2020
Brain age prediction in stroke patients: Highly reliable but limited sensitivity to cognitive performance and response to cognitive trainingGeneviève Richard, Knut Kolskår, Kristine M Ulrichsen, et al.
Brain and Behavior|July 21, 2022
Structural disconnectome mapping of cognitive function in poststroke patientsKnut K Kolskår, Kristine M Ulrichsen, Genevieve Richard, et al.
Peerj|December 12, 2018
Assessing distinct patterns of cognitive aging using tissue-specific brain age prediction based on diffusion tensor imaging and brain morphometryGeneviève Richard, Knut Kolskår, Anne-Marthe Sanders, et al.
Pageof 3