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BMC Neurology
|
September 28, 2014
Virtual reality training for upper extremity in subacute stroke (VIRTUES): study protocol for a randomized controlled multicenter trial
Iris Brunner, Jan S Skouen, Håkon Hofstad, et al.
Neurology
|
November 17, 2017
Virtual Reality Training for Upper Extremity in Subacute Stroke (VIRTUES): A multicenter RCT
Iris Brunner, Jan Sture Skouen, Håkon Hofstad, et al.
Eneuro
|
August 4, 2018
Key Brain Network Nodes Show Differential Cognitive Relevance and Developmental Trajectories during Childhood and Adolescence
Knut 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 performance
Geneviève 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 survivors
Knut K Kolskår, Geneviève Richard, Dag Alnaes, et al.
Heliyon
|
September 30, 2020
Functional brain network modeling in sub-acute stroke patients and healthy controls during rest and continuous attentive tracking
Erlend 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 adults
Anne-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 attention
Kristine 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 training
Geneviève Richard, Knut Kolskår, Kristine M Ulrichsen, 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 morphometry
Geneviève Richard, Knut Kolskår, Anne-Marthe Sanders, et al.
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of 3
Search research articles
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Showing results (1-10 of 24) with videos related to
Sort By:
Page
of 3
BMC Neurology
|
September 28, 2014
Virtual reality training for upper extremity in subacute stroke (VIRTUES): study protocol for a randomized controlled multicenter trial
Iris Brunner, Jan S Skouen, Håkon Hofstad, et al.
Neurology
|
November 17, 2017
Virtual Reality Training for Upper Extremity in Subacute Stroke (VIRTUES): A multicenter RCT
Iris Brunner, Jan Sture Skouen, Håkon Hofstad, et al.
Eneuro
|
August 4, 2018
Key Brain Network Nodes Show Differential Cognitive Relevance and Developmental Trajectories during Childhood and Adolescence
Knut 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 performance
Geneviève 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 survivors
Knut K Kolskår, Geneviève Richard, Dag Alnaes, et al.
Heliyon
|
September 30, 2020
Functional brain network modeling in sub-acute stroke patients and healthy controls during rest and continuous attentive tracking
Erlend 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 adults
Anne-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 attention
Kristine 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 training
Geneviève Richard, Knut Kolskår, Kristine M Ulrichsen, 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 morphometry
Geneviève Richard, Knut Kolskår, Anne-Marthe Sanders, et al.
Page
of 3