2009 |
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Fiona McNab, Andrea Varrone, Lars Farde, Aurelija Jucaite, Paulina Bystritsky, Hans Forssberg, Torkel Klingberg, Fiona McNab, Andrea Varrone, Lars Farde, Aurelija Jucaite, Paulina Bystritsky, Hans Forssberg, Torkel Klingberg Changes in cortical dopamine D1 receptor binding associated with cognitive training Journal Article Science, 323 (5915), pp. 800–802, 2009, ISSN: 00368075. @article{McNab2009, title = {Changes in cortical dopamine D1 receptor binding associated with cognitive training}, author = {Fiona McNab and Andrea Varrone and Lars Farde and Aurelija Jucaite and Paulina Bystritsky and Hans Forssberg and Torkel Klingberg and Fiona McNab and Andrea Varrone and Lars Farde and Aurelija Jucaite and Paulina Bystritsky and Hans Forssberg and Torkel Klingberg}, url = {http://www.sciencemag.org/cgi/doi/10.1126/science.1166102%5Cnpapers3://publication/doi/10.1126/science.1166102 http://www.ncbi.nlm.nih.gov/pubmed/19197069 http://www.sciencemag.org/cgi/doi/10.1126/science.1166102}, doi = {10.1126/science.1166102}, issn = {00368075}, year = {2009}, date = {2009-02-01}, journal = {Science}, volume = {323}, number = {5915}, pages = {800--802}, abstract = {Working memory is a key function for human cognition, dependent on adequate dopamine neurotransmission. Here we show that the training of working memory, which improves working memory capacity, is associated with changes in the density of cortical dopamine D1 receptors. Fourteen hours of training over 5 weeks was associated with changes in both prefrontal and parietal D1 binding potential. This plasticity of the dopamine D1 receptor system demonstrates a reciprocal interplay between mental activity and brain biochemistry in vivo.}, keywords = {}, pubstate = {published}, tppubtype = {article} } Working memory is a key function for human cognition, dependent on adequate dopamine neurotransmission. Here we show that the training of working memory, which improves working memory capacity, is associated with changes in the density of cortical dopamine D1 receptors. Fourteen hours of training over 5 weeks was associated with changes in both prefrontal and parietal D1 binding potential. This plasticity of the dopamine D1 receptor system demonstrates a reciprocal interplay between mental activity and brain biochemistry in vivo. | |
2006 |
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J Macoveanu, T Klingberg, J Tegnér A biophysical model of multiple-item working memory: A computational and neuroimaging study Journal Article Neuroscience, 141 (3), pp. 1611–1618, 2006, ISSN: 03064522. @article{Macoveanu2006, title = {A biophysical model of multiple-item working memory: A computational and neuroimaging study}, author = {J Macoveanu and T Klingberg and J Tegnér}, url = {https://linkinghub.elsevier.com/retrieve/pii/S0306452206006567}, doi = {10.1016/j.neuroscience.2006.04.080}, issn = {03064522}, year = {2006}, date = {2006-01-01}, journal = {Neuroscience}, volume = {141}, number = {3}, pages = {1611--1618}, abstract = {Biophysically based computational models have successfully accounted for the persistent neural activity underlying the maintenance of single items of information in working memory. The aim of the present study was to extend previous models in order to retain multiple items, in agreement with the observed human storage capacity. This was done by implementing cellular mechanisms known to occur during the childhood development of working memory, such as an increased synaptic strength and improved contrast and specificity of the neural response. Our computational study shows that these mechanisms are sufficient to create a neural network which can store information about multiple items through sustained neural activity. Furthermore, by using functional magnetic resonance imaging, we found that the information-activity curve predicted by the model corresponds to that in the human posterior parietal cortex during performance of working memory tasks, which is consistent with previous studies of brain activity related to working memory capacity in humans. textcopyright 2006 IBRO.}, keywords = {}, pubstate = {published}, tppubtype = {article} } Biophysically based computational models have successfully accounted for the persistent neural activity underlying the maintenance of single items of information in working memory. The aim of the present study was to extend previous models in order to retain multiple items, in agreement with the observed human storage capacity. This was done by implementing cellular mechanisms known to occur during the childhood development of working memory, such as an increased synaptic strength and improved contrast and specificity of the neural response. Our computational study shows that these mechanisms are sufficient to create a neural network which can store information about multiple items through sustained neural activity. Furthermore, by using functional magnetic resonance imaging, we found that the information-activity curve predicted by the model corresponds to that in the human posterior parietal cortex during performance of working memory tasks, which is consistent with previous studies of brain activity related to working memory capacity in humans. textcopyright 2006 IBRO. | |
2003 |
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Pernille J Olesen, Zoltan Nagy, Helena Westerberg, Torkel Klingberg Combined analysis of DTI and fMRI data reveals a joint maturation of white and grey matter in a fronto-parietal network Journal Article Cognitive Brain Research, 18 (1), pp. 48–57, 2003, ISSN: 09266410. @article{Olesen2003, title = {Combined analysis of DTI and fMRI data reveals a joint maturation of white and grey matter in a fronto-parietal network}, author = {Pernille J Olesen and Zoltan Nagy and Helena Westerberg and Torkel Klingberg}, url = {https://linkinghub.elsevier.com/retrieve/pii/S092664100300212X}, doi = {10.1016/j.cogbrainres.2003.09.003}, issn = {09266410}, year = {2003}, date = {2003-12-01}, journal = {Cognitive Brain Research}, volume = {18}, number = {1}, pages = {48--57}, abstract = {The aim of this study was to explore whether there are networks of regions where maturation of white matter and changes in brain activity show similar developmental trends during childhood. In a previous study, we showed that during childhood, grey matter activity increases in frontal and parietal regions. We hypothesized that this would be mediated by maturation of white matter. Twenty-three healthy children aged 8-18 years were investigated. Brain activity was measured using the blood oxygen level-dependent (BOLD) contrast with functional magnetic resonance imaging (fMRI) during performance of a working memory (WM) task. White matter microstructure was investigated using diffusion tensor imaging (DTI). Based on the DTI data, we calculated fractional anisotropy (FA), an indicator of myelination and axon thickness. Prior to scanning, WM score was evaluated. WM score correlated independently with FA values and BOLD response in several regions. FA values and BOLD response were extracted for each subject from the peak voxels of these regions. The FA values were used as covariates in an additional BOLD analysis to find brain regions where FA values and BOLD response correlated. Conversely, the BOLD response values were used as covariates in an additional FA analysis. In several cortical and sub-cortical regions, there were positive correlations between maturation of white matter and increased brain activity. Specifically, and consistent with our hypothesis, we found that FA values in fronto-parietal white matter correlated with BOLD response in closely located grey matter in the superior frontal sulcus and inferior parietal lobe, areas that could form a functional network underlying working memory function. textcopyright 2003 Elsevier B.V. All rights reserved.}, keywords = {}, pubstate = {published}, tppubtype = {article} } The aim of this study was to explore whether there are networks of regions where maturation of white matter and changes in brain activity show similar developmental trends during childhood. In a previous study, we showed that during childhood, grey matter activity increases in frontal and parietal regions. We hypothesized that this would be mediated by maturation of white matter. Twenty-three healthy children aged 8-18 years were investigated. Brain activity was measured using the blood oxygen level-dependent (BOLD) contrast with functional magnetic resonance imaging (fMRI) during performance of a working memory (WM) task. White matter microstructure was investigated using diffusion tensor imaging (DTI). Based on the DTI data, we calculated fractional anisotropy (FA), an indicator of myelination and axon thickness. Prior to scanning, WM score was evaluated. WM score correlated independently with FA values and BOLD response in several regions. FA values and BOLD response were extracted for each subject from the peak voxels of these regions. The FA values were used as covariates in an additional BOLD analysis to find brain regions where FA values and BOLD response correlated. Conversely, the BOLD response values were used as covariates in an additional FA analysis. In several cortical and sub-cortical regions, there were positive correlations between maturation of white matter and increased brain activity. Specifically, and consistent with our hypothesis, we found that FA values in fronto-parietal white matter correlated with BOLD response in closely located grey matter in the superior frontal sulcus and inferior parietal lobe, areas that could form a functional network underlying working memory function. textcopyright 2003 Elsevier B.V. All rights reserved. |
2009 |
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Changes in cortical dopamine D1 receptor binding associated with cognitive training Journal Article Science, 323 (5915), pp. 800–802, 2009, ISSN: 00368075. | |
2006 |
|
A biophysical model of multiple-item working memory: A computational and neuroimaging study Journal Article Neuroscience, 141 (3), pp. 1611–1618, 2006, ISSN: 03064522. | |
2003 |
|
Combined analysis of DTI and fMRI data reveals a joint maturation of white and grey matter in a fronto-parietal network Journal Article Cognitive Brain Research, 18 (1), pp. 48–57, 2003, ISSN: 09266410. |