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dc.contributor.authorHol, Haakon Ramsland
dc.contributor.authorFlak, Marianne Møretrø
dc.contributor.authorChang, Linda
dc.contributor.authorLøhaugen, Gro
dc.contributor.authorBjuland, Knut Jørgen
dc.contributor.authorRimol, Lars Morten
dc.contributor.authorEngvig, Andreas
dc.contributor.authorSkranes, Jon Sverre
dc.contributor.authorErnst, Thomas
dc.contributor.authorMadsen, Bengt-Ove
dc.contributor.authorHernes, Susanne M S
dc.date.accessioned2022-10-05T14:01:45Z
dc.date.available2022-10-05T14:01:45Z
dc.date.created2022-05-14T17:19:08Z
dc.date.issued2022-04-04
dc.identifier.issn1663-4365
dc.identifier.urihttps://hdl.handle.net/11250/3024119
dc.description.abstractBackground: Adaptive computerized working memory (WM) training has shown favorable effects on cerebral cortical thickness as compared to non-adaptive training in healthy individuals. However, knowledge of WM training-related morphological changes in mild cognitive impairment (MCI) is limited. Objective: The primary objective of this double-blind randomized study was to investigate differences in longitudinal cortical thickness trajectories after adaptive and non-adaptive WM training in patients with MCI. We also investigated the genotype effects on cortical thickness trajectories after WM training combining these two training groups using longitudinal structural magnetic resonance imaging (MRI) analysis in Freesurfer. Method: Magnetic resonance imaging acquisition at 1.5 T were performed at baseline, and after four- and 16-weeks post training. A total of 81 individuals with MCI accepted invitations to undergo 25 training sessions over 5 weeks. Longitudinal Linear Mixed effect models investigated the effect of adaptive vs. non-adaptive WM training. The LME model was fitted for each location (vertex). On all statistical analyzes, a threshold was applied to yield an expected false discovery rate (FDR) of 5%. A secondary LME model investigated the effects of LMX1A and APOE-ε4 on cortical thickness trajectories after WM training. Results: A total of 62 participants/patients completed the 25 training sessions. Structural MRI showed no group difference between the two training regimes in our MCI patients, contrary to previous reports in cognitively healthy adults. No significant structural cortical changes were found after training, regardless of training type, across all participants. However, LMX1A-AA carriers displayed increased cortical thickness trajectories or lack of decrease in two regions post-training compared to those with LMX1A-GG/GA. No training or training type effects were found in relation to the APOE-ε4 gene variants. Conclusion: The MCI patients in our study, did not have improved cortical thickness after WM training with either adaptive or non-adaptive training. These results were derived from a heterogeneous population of MCI participants. The lack of changes in the cortical thickness trajectory after WM training may also suggest the lack of atrophy during this follow-up period. Our promising results of increased cortical thickness trajectory, suggesting greater neuroplasticity, in those with LMX1A-AA genotype need to be validated in future trials.en_US
dc.language.isoengen_US
dc.publisherFrontiersen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleCortical thickness changes after computerized working memory training in patients with mild cognitive impairmenten_US
dc.typeJournal articleen_US
dc.typePeer revieweden_US
dc.description.versionpublishedVersionen_US
dc.rights.holderCopyright 2022 the authorsen_US
dc.source.articlenumber796110en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1
dc.identifier.doi10.3389/fnagi.2022.796110
dc.identifier.cristin2024615
dc.source.journalFrontiers in Aging Neuroscienceen_US
dc.identifier.citationFrontiers in Aging Neuroscience. 2022, 14, 796110.en_US
dc.source.volume14en_US


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