Identifying markers of brain health and plasticity: A neuroimaging and behavioral study of cognitive aging and cognitive training following stroke
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- Psykologisk institutt [2927]
Abstract
No abstract.List of papers
| Paper I: Richard G, Kolskar K, Sanders AM, Kaufmann T, Petersen A, Doan NT, Monereo Sanchez J, Alnaes D, Ulrichsen KM, Dorum ES, Andreassen OA, Nordvik JE, and Westlye LT. 2018. Assessing distinct patterns of cognitive aging using tissue-specific brain age prediction based on diffusion tensor imaging and brain morphometry. PeerJ 6:e5908. DOI: 10.7717/peerj.5908. The article is included in the thesis. Also available at https://doi.org/10.7717/peerj.5908 |
| Paper II: Richard G, Kolskår K, Ulrichsen KM, Kaufmann T, Alnæs D, Sanders A-M, Dørum ES, Monereo Sánchez J, Petersen A, Ihle-Hansen H, Nordvik JE, and Westlye LT. 2019. Reliable longitudinal brain age prediction in stroke patients: Associations with cognitive function and response to cognitive training. Published in: NeuroImage: Clinical, vol 25, 2020, 102159. DOI: 10.1016/j.nicl.2019.102159. The paper is included in the thesis. Also available at: https://doi.org/10.1016/j.nicl.2019.102159 |
| Paper III: Richard G, Petersen A, Ulrichsen KM, Kolskår K, Alnæs D, Sanders A-M, Dørum ES, Ihle-Hansen H, Nordvik JE, and Westlye LT. 2019. TVA-based modeling of shortterm memory capacity, speed of processing and perceptual threshold in chronic stroke patients: Case-control differences, reliability, and sensitivity to cognitive training. Published in: PeerJ 8:e9948. DOI: 10.7717/peerj.9948. The paper is included in the thesis. Also available at: https://doi.org/10.7717/peerj.9948 |