2018 |
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F Nemmi, C Nymberg, F Darki, T Banaschewski, A L W Bokde, C Büchel, H Flor, V Frouin, H Garavan, P Gowland, A Heinz, J -L Martinot, F Nees, T Paus, M N Smolka, T W Robbins, G Schumann, Torkel Klingberg Interaction between striatal volume and DAT1 polymorphism predicts working memory development during adolescence Journal Article Developmental Cognitive Neuroscience, 30 (February), pp. 191–199, 2018, ISSN: 18789293. @article{Nemmi2018b, title = {Interaction between striatal volume and DAT1 polymorphism predicts working memory development during adolescence}, author = {F Nemmi and C Nymberg and F Darki and T Banaschewski and A L W Bokde and C Büchel and H Flor and V Frouin and H Garavan and P Gowland and A Heinz and J -L Martinot and F Nees and T Paus and M N Smolka and T W Robbins and G Schumann and Torkel Klingberg}, url = {https://doi.org/10.1016/j.dcn.2018.03.006 https://linkinghub.elsevier.com/retrieve/pii/S1878929317301536}, doi = {10.1016/j.dcn.2018.03.006}, issn = {18789293}, year = {2018}, date = {2018-04-01}, journal = {Developmental Cognitive Neuroscience}, volume = {30}, number = {February}, pages = {191--199}, publisher = {Elsevier}, abstract = {There is considerable inter-individual variability in the rate at which working memory (WM) develops during childhood and adolescence, but the neural and genetic basis for these differences are poorly understood. Dopamine-related genes, striatal activation and morphology have been associated with increased WM capacity after training. Here we tested the hypothesis that these factors would also explain some of the inter-individual differences in the rate of WM development. We measured WM performance in 487 healthy subjects twice: at age 14 and 19. At age 14 subjects underwent a structural MRI scan, and genotyping of five single nucleotide polymorphisms (SNPs) in or close to the dopamine genes DRD2, DAT-1 and COMT, which have previously been associated with gains in WM after WM training. We then analyzed which biological factors predicted the rate of increase in WM between ages 14 and 19. We found a significant interaction between putamen size and DAT1/SLC6A3 rs40184 polymorphism, such that TC heterozygotes with a larger putamen at age 14 showed greater WM improvement at age 19. The effect of the DAT1 polymorphism on WM development was exerted in interaction with striatal morphology. These results suggest that development of WM partially share neuro-physiological mechanism with training-induced plasticity.}, keywords = {}, pubstate = {published}, tppubtype = {article} } There is considerable inter-individual variability in the rate at which working memory (WM) develops during childhood and adolescence, but the neural and genetic basis for these differences are poorly understood. Dopamine-related genes, striatal activation and morphology have been associated with increased WM capacity after training. Here we tested the hypothesis that these factors would also explain some of the inter-individual differences in the rate of WM development. We measured WM performance in 487 healthy subjects twice: at age 14 and 19. At age 14 subjects underwent a structural MRI scan, and genotyping of five single nucleotide polymorphisms (SNPs) in or close to the dopamine genes DRD2, DAT-1 and COMT, which have previously been associated with gains in WM after WM training. We then analyzed which biological factors predicted the rate of increase in WM between ages 14 and 19. We found a significant interaction between putamen size and DAT1/SLC6A3 rs40184 polymorphism, such that TC heterozygotes with a larger putamen at age 14 showed greater WM improvement at age 19. The effect of the DAT1 polymorphism on WM development was exerted in interaction with striatal morphology. These results suggest that development of WM partially share neuro-physiological mechanism with training-induced plasticity. | |
2016 |
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Fahimeh Darki, Federico Nemmi, Annie Möller, Rouslan Sitnikov, Torkel Klingberg Quantitative susceptibility mapping of striatum in children and adults, and its association with working memory performance Journal Article NeuroImage, 136 , pp. 208–214, 2016, ISSN: 10959572. @article{Darki2016, title = {Quantitative susceptibility mapping of striatum in children and adults, and its association with working memory performance}, author = {Fahimeh Darki and Federico Nemmi and Annie Möller and Rouslan Sitnikov and Torkel Klingberg}, url = {http://dx.doi.org/10.1016/j.neuroimage.2016.04.065}, doi = {10.1016/j.neuroimage.2016.04.065}, issn = {10959572}, year = {2016}, date = {2016-01-01}, journal = {NeuroImage}, volume = {136}, pages = {208--214}, publisher = {Elsevier Inc.}, abstract = {Quantitative susceptibility mapping (QSM) is a magnetic resonance imaging (MRI) technique in which the magnetic susceptibility characteristic of molecular and cellular components, including iron and myelin, is quantified. Rapid iron accumulation in subcortical nuclei and myelination of the white matter tracts are two important developmental processes that contribute to cognitive functions. Both also contribute to the magnetic susceptibility of the brain tissues. Here, we used the QSM as indirect measures of iron in subcortical nuclei and myelin in caudo-frontal white matter pathways. We included two groups of participants; 21 children aged 6-7 years and 25 adults aged 21-40 years. All subjects also performed tests estimating their visuo-spatial working memory capacity.Adults had higher magnetic susceptibility in all subcortical nuclei, compared to children. The magnetic susceptibility of these nuclei highly correlated with their previously reported iron content. Moreover, working memory performance correlated significantly with the magnetic susceptibility in caudate nucleus in both children and adults, while the correlation was not significant for gray matter density. QSM of white matter in the caudo-frontal tract also differed between children and adults, but did not correlate with working memory scores. These results indicate that QSM is a feasible technique to measure developmental aspects of changes in the striatum, possibly related to iron content that is relevant to cognition.}, keywords = {}, pubstate = {published}, tppubtype = {article} } Quantitative susceptibility mapping (QSM) is a magnetic resonance imaging (MRI) technique in which the magnetic susceptibility characteristic of molecular and cellular components, including iron and myelin, is quantified. Rapid iron accumulation in subcortical nuclei and myelination of the white matter tracts are two important developmental processes that contribute to cognitive functions. Both also contribute to the magnetic susceptibility of the brain tissues. Here, we used the QSM as indirect measures of iron in subcortical nuclei and myelin in caudo-frontal white matter pathways. We included two groups of participants; 21 children aged 6-7 years and 25 adults aged 21-40 years. All subjects also performed tests estimating their visuo-spatial working memory capacity.Adults had higher magnetic susceptibility in all subcortical nuclei, compared to children. The magnetic susceptibility of these nuclei highly correlated with their previously reported iron content. Moreover, working memory performance correlated significantly with the magnetic susceptibility in caudate nucleus in both children and adults, while the correlation was not significant for gray matter density. QSM of white matter in the caudo-frontal tract also differed between children and adults, but did not correlate with working memory scores. These results indicate that QSM is a feasible technique to measure developmental aspects of changes in the striatum, possibly related to iron content that is relevant to cognition. |
2018 |
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Interaction between striatal volume and DAT1 polymorphism predicts working memory development during adolescence Journal Article Developmental Cognitive Neuroscience, 30 (February), pp. 191–199, 2018, ISSN: 18789293. | |
2016 |
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Quantitative susceptibility mapping of striatum in children and adults, and its association with working memory performance Journal Article NeuroImage, 136 , pp. 208–214, 2016, ISSN: 10959572. |