2016 |
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Margot A Schel, Torkel Klingberg Specialization of the Right Intraparietal Sulcus for Processing Mathematics During Development Journal Article Cerebral Cortex, 27 (9), pp. 4436–4446, 2016, ISSN: 1047-3211. @article{Schel2017, title = {Specialization of the Right Intraparietal Sulcus for Processing Mathematics During Development}, author = {Margot A Schel and Torkel Klingberg}, url = {http://cercor.oxfordjournals.org/cgi/doi/10.1093/cercor/bhw246}, doi = {10.1093/cercor/bhw246}, issn = {1047-3211}, year = {2016}, date = {2016-08-01}, journal = {Cerebral Cortex}, volume = {27}, number = {9}, pages = {4436--4446}, abstract = {Mathematical ability, especially perception of numbers and performance of arithmetics, is known to rely on the activation of intraparietal sulcus (IPS). However, reasoning ability and working memory, 2 highly associated abilities also activate partly overlapping regions. Most studies aimed at localizing mathematical function have used group averages, where individual variability is averaged out, thus confounding the anatomical specificity when localizing cognitive functions. Here, we analyze the functional anatomy of the intraparietal cortex by using individual analysis of subregions of IPS based on how they are structurally connected to frontal, parietal, and occipital cortex. Analysis of cortical thickness showed that the right anterior IPS, defined by its connections to the frontal lobe, was associated with both visuospatial working memory, and mathematics in 6-year-old children. This region specialized during development to be specifically related to mathematics, but not visuospatial working memory in adolescents and adults. This could be an example of interactive specialization, where interacting with the environment in combination with interactions between cortical regions leads from a more general role of right anterior IPS in spatial processing, to a specialization of this region for mathematics.}, keywords = {}, pubstate = {published}, tppubtype = {article} } Mathematical ability, especially perception of numbers and performance of arithmetics, is known to rely on the activation of intraparietal sulcus (IPS). However, reasoning ability and working memory, 2 highly associated abilities also activate partly overlapping regions. Most studies aimed at localizing mathematical function have used group averages, where individual variability is averaged out, thus confounding the anatomical specificity when localizing cognitive functions. Here, we analyze the functional anatomy of the intraparietal cortex by using individual analysis of subregions of IPS based on how they are structurally connected to frontal, parietal, and occipital cortex. Analysis of cortical thickness showed that the right anterior IPS, defined by its connections to the frontal lobe, was associated with both visuospatial working memory, and mathematics in 6-year-old children. This region specialized during development to be specifically related to mathematics, but not visuospatial working memory in adolescents and adults. This could be an example of interactive specialization, where interacting with the environment in combination with interactions between cortical regions leads from a more general role of right anterior IPS in spatial processing, to a specialization of this region for mathematics. | |
2015 |
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Fahimeh Darki, Torkel Klingberg The role of fronto-parietal and fronto-striatal networks in the development of working memory: A longitudinal study Journal Article Cerebral Cortex, 25 (6), pp. 1587–1595, 2015, ISSN: 14602199. @article{Darki2015, title = {The role of fronto-parietal and fronto-striatal networks in the development of working memory: A longitudinal study}, author = {Fahimeh Darki and Torkel Klingberg}, url = {https://academic.oup.com/cercor/article-lookup/doi/10.1093/cercor/bht352}, doi = {10.1093/cercor/bht352}, issn = {14602199}, year = {2015}, date = {2015-06-01}, journal = {Cerebral Cortex}, volume = {25}, number = {6}, pages = {1587--1595}, abstract = {The increase in working memory (WM) capacity is an important part of cognitive development during childhood and adolescence. Cross-sectional analyses have associated this development with higher activity, thinner cortex, and white matter maturation in fronto-parietal networks. However, there is still a lack of longitudinal data showing the dynamics of this development and the role of subcortical structures. We included 89 individuals, aged 6-25 years, who were scanned 1-3 times at 2-year intervals. Functional magnetic resonance imaging (fMRI) was used to identify activated areas in superior frontal, intraparietal cortices, and caudate nucleus during performance on a visuo-spatial WM task. Probabilistic tractography determined the anatomical pathways between these regions. In the cross-sectional analysis, WM capacity correlated with activity in frontal and parietal regions, cortical thickness in parietal cortex, and white matter structure [both fractional anisotropy (FA) and white matter volume] of fronto-parietal and fronto-striatal tracts. However, in the longitudinal analysis, FA in white matter tracts and activity in caudate predicted future WM capacity. The results show a dynamic of neural networks underlying WM development in which cortical activity and structure relate to current capacity, while white matter tracts and caudate activity predict future WM capacity.}, keywords = {}, pubstate = {published}, tppubtype = {article} } The increase in working memory (WM) capacity is an important part of cognitive development during childhood and adolescence. Cross-sectional analyses have associated this development with higher activity, thinner cortex, and white matter maturation in fronto-parietal networks. However, there is still a lack of longitudinal data showing the dynamics of this development and the role of subcortical structures. We included 89 individuals, aged 6-25 years, who were scanned 1-3 times at 2-year intervals. Functional magnetic resonance imaging (fMRI) was used to identify activated areas in superior frontal, intraparietal cortices, and caudate nucleus during performance on a visuo-spatial WM task. Probabilistic tractography determined the anatomical pathways between these regions. In the cross-sectional analysis, WM capacity correlated with activity in frontal and parietal regions, cortical thickness in parietal cortex, and white matter structure [both fractional anisotropy (FA) and white matter volume] of fronto-parietal and fronto-striatal tracts. However, in the longitudinal analysis, FA in white matter tracts and activity in caudate predicted future WM capacity. The results show a dynamic of neural networks underlying WM development in which cortical activity and structure relate to current capacity, while white matter tracts and caudate activity predict future WM capacity. |
2016 |
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Specialization of the Right Intraparietal Sulcus for Processing Mathematics During Development Journal Article Cerebral Cortex, 27 (9), pp. 4436–4446, 2016, ISSN: 1047-3211. | |
2015 |
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The role of fronto-parietal and fronto-striatal networks in the development of working memory: A longitudinal study Journal Article Cerebral Cortex, 25 (6), pp. 1587–1595, 2015, ISSN: 14602199. |