2018 |
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Fahimeh Darki, Torkel Klingberg Functional differentiation between convergence and non-convergence zones of the striatum in children Journal Article NeuroImage, 173 (January), pp. 384–393, 2018, ISSN: 10538119. @article{Darki2018, title = {Functional differentiation between convergence and non-convergence zones of the striatum in children}, author = {Fahimeh Darki and Torkel Klingberg}, url = {https://linkinghub.elsevier.com/retrieve/pii/S1053811918301617}, doi = {10.1016/j.neuroimage.2018.02.054}, issn = {10538119}, year = {2018}, date = {2018-06-01}, journal = {NeuroImage}, volume = {173}, number = {January}, pages = {384--393}, abstract = {Most cortical areas send projections to the striatum. In some parts of the striatum, the connections converge from several cortical areas. It is unknown whether the convergence and non-convergence zones of the striatum differ functionally. Here, we used diffusion-weighted magnetic resonance imaging and probabilistic fiber tracking to parcellate the striatum based on its connections to dorsolateral prefrontal, parietal and orbitofrontal cortices in two different datasets (children aged 6–7 years and adults). In both samples, quantitative susceptibility mapping (QSM) values were significantly correlated with working memory (WM) in convergence zones, but not in non-convergence zones. In children, this was also true for mean diffusivity, MD. The association of MD to WM specifically in the convergent zone was replicated in the Pediatric Imaging, Neurocognition, and Genetics (PING) dataset for 135 children aged 6–9 years. QSM data was not available in the PING dataset, and the association to QSM still needs to be replicated. These results suggest that connectivity-based segments of the striatum exhibit functionally different characteristics. The association between convergence zones and WM performance might relate to a role in integrating and coordinating activity in different cortical areas.}, keywords = {}, pubstate = {published}, tppubtype = {article} } Most cortical areas send projections to the striatum. In some parts of the striatum, the connections converge from several cortical areas. It is unknown whether the convergence and non-convergence zones of the striatum differ functionally. Here, we used diffusion-weighted magnetic resonance imaging and probabilistic fiber tracking to parcellate the striatum based on its connections to dorsolateral prefrontal, parietal and orbitofrontal cortices in two different datasets (children aged 6–7 years and adults). In both samples, quantitative susceptibility mapping (QSM) values were significantly correlated with working memory (WM) in convergence zones, but not in non-convergence zones. In children, this was also true for mean diffusivity, MD. The association of MD to WM specifically in the convergent zone was replicated in the Pediatric Imaging, Neurocognition, and Genetics (PING) dataset for 135 children aged 6–9 years. QSM data was not available in the PING dataset, and the association to QSM still needs to be replicated. These results suggest that connectivity-based segments of the striatum exhibit functionally different characteristics. The association between convergence zones and WM performance might relate to a role in integrating and coordinating activity in different cortical areas. | |
2018 |
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Functional differentiation between convergence and non-convergence zones of the striatum in children Journal Article NeuroImage, 173 (January), pp. 384–393, 2018, ISSN: 10538119. | |