2015 |
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Henrik Ullman, Megan Spencer-Smith, Deanne K Thompson, Lex W Doyle, Terrie E Inder, Peter J Anderson, Torkel Klingberg Neonatal MRI is associated with future cognition and academic achievement in preterm children Journal Article Brain, 138 (11), pp. 3251–3262, 2015, ISSN: 14602156. @article{Ullman2015, title = {Neonatal MRI is associated with future cognition and academic achievement in preterm children}, author = {Henrik Ullman and Megan Spencer-Smith and Deanne K Thompson and Lex W Doyle and Terrie E Inder and Peter J Anderson and Torkel Klingberg}, doi = {10.1093/brain/awv244}, issn = {14602156}, year = {2015}, date = {2015-01-01}, journal = {Brain}, volume = {138}, number = {11}, pages = {3251--3262}, abstract = {textcopyright 2015 The Author (2015). Published by Oxford University Press on behalf of the Guarantors of Brain. All rights reserved. For Permissions, please email: journals.permissions@oup.com. School-age children born preterm are particularly at risk for low mathematical achievement, associated with reduced working memory and number skills. Early identification of preterm children at risk for future impairments using brain markers might assist in referral for early intervention. This study aimed to examine the use of neonatal magnetic resonance imaging measures derived from automated methods (Jacobian maps from deformation-based morphometry; fractional anisotropy maps from diffusion tensor images) to predict skills important for mathematical achievement (working memory, early mathematical skills) at 5 and 7 years in a cohort of preterm children using both univariable (general linear model) and multivariable models (support vector regression). Participants were preterm children born textless30 weeks' gestational age and healthy control children born ≥37 weeks' gestational age at the Royal Women's Hospital in Melbourne, Australia between July 2001 and December 2003 and recruited into a prospective longitudinal cohort study. At term-equivalent age (±2 weeks) 224 preterm and 46 control infants were recruited for magnetic resonance imaging. Working memory and early mathematics skills were assessed at 5 years (n = 195 preterm; n = 40 controls) and 7 years (n = 197 preterm; n = 43 controls). In the preterm group, results identified localized regions around the insula and putamen in the neonatal Jacobian map that were positively associated with early mathematics at 5 and 7 years (both P textless 0.05), even after covarying for important perinatal clinical factors using general linear model but not support vector regression. The neonatal Jacobian map showed the same trend for association with working memory at 7 years (models ranging from P = 0.07 to P = 0.05). Neonatal fractional anisotropy was positively associated with working memory and early mathematics at 5 years (both P textless 0.001) even after covarying for clinical factors using support vector regression but not general linear model. These significant relationships were not observed in the control group. In summary, we identified, in the preterm brain, regions around the insula and putamen using neonatal deformation-based morphometry, and brain microstructural organization using neonatal diffusion tensor imaging, associated with skills important for childhood mathematical achievement. Results contribute to the growing evidence for the clinical utility of neonatal magnetic resonance imaging for early identification of preterm infants at risk for childhood cognitive and academic impairment.}, keywords = {}, pubstate = {published}, tppubtype = {article} } textcopyright 2015 The Author (2015). Published by Oxford University Press on behalf of the Guarantors of Brain. All rights reserved. For Permissions, please email: journals.permissions@oup.com. School-age children born preterm are particularly at risk for low mathematical achievement, associated with reduced working memory and number skills. Early identification of preterm children at risk for future impairments using brain markers might assist in referral for early intervention. This study aimed to examine the use of neonatal magnetic resonance imaging measures derived from automated methods (Jacobian maps from deformation-based morphometry; fractional anisotropy maps from diffusion tensor images) to predict skills important for mathematical achievement (working memory, early mathematical skills) at 5 and 7 years in a cohort of preterm children using both univariable (general linear model) and multivariable models (support vector regression). Participants were preterm children born textless30 weeks' gestational age and healthy control children born ≥37 weeks' gestational age at the Royal Women's Hospital in Melbourne, Australia between July 2001 and December 2003 and recruited into a prospective longitudinal cohort study. At term-equivalent age (±2 weeks) 224 preterm and 46 control infants were recruited for magnetic resonance imaging. Working memory and early mathematics skills were assessed at 5 years (n = 195 preterm; n = 40 controls) and 7 years (n = 197 preterm; n = 43 controls). In the preterm group, results identified localized regions around the insula and putamen in the neonatal Jacobian map that were positively associated with early mathematics at 5 and 7 years (both P textless 0.05), even after covarying for important perinatal clinical factors using general linear model but not support vector regression. The neonatal Jacobian map showed the same trend for association with working memory at 7 years (models ranging from P = 0.07 to P = 0.05). Neonatal fractional anisotropy was positively associated with working memory and early mathematics at 5 years (both P textless 0.001) even after covarying for clinical factors using support vector regression but not general linear model. These significant relationships were not observed in the control group. In summary, we identified, in the preterm brain, regions around the insula and putamen using neonatal deformation-based morphometry, and brain microstructural organization using neonatal diffusion tensor imaging, associated with skills important for childhood mathematical achievement. Results contribute to the growing evidence for the clinical utility of neonatal magnetic resonance imaging for early identification of preterm infants at risk for childhood cognitive and academic impairment. | |
2012 |
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Fahimeh Darki, Myriam Peyrard-Janvid, Hans Matsson, Juha Kere, Torkel Klingberg Three Dyslexia Susceptibility Genes, DYX1C1, DCDC2, and KIAA0319, Affect Temporo-Parietal White Matter Structure Journal Article Biological Psychiatry, 72 (8), pp. 671–676, 2012, ISSN: 00063223. @article{Darki2012, title = {Three Dyslexia Susceptibility Genes, DYX1C1, DCDC2, and KIAA0319, Affect Temporo-Parietal White Matter Structure}, author = {Fahimeh Darki and Myriam Peyrard-Janvid and Hans Matsson and Juha Kere and Torkel Klingberg}, url = {https://www.sciencedirect.com/science/article/pii/S0006322312004453 http://linkinghub.elsevier.com/retrieve/pii/S0006322312004453 http://dx.doi.org/10.1016/j.biopsych.2012.05.008}, doi = {10.1016/j.biopsych.2012.05.008}, issn = {00063223}, year = {2012}, date = {2012-10-01}, journal = {Biological Psychiatry}, volume = {72}, number = {8}, pages = {671--676}, publisher = {Elsevier}, abstract = {BACKGROUND Volume and integrity of white matter correlate with reading ability, but the underlying factors contributing to this variability are unknown. METHODS We investigated single nucleotide polymorphisms in three genes previously associated with dyslexia and implicated in neuronal migration (DYX1C1, DCDC2, KIAA0319) and white matter volume in a cohort of 76 children and young adults from the general population. RESULTS We found that all three genes contained polymorphisms that were significantly associated with white matter volume in the left temporo-parietal region and that white matter volume influenced reading ability. CONCLUSIONS The identified region contained white matter pathways connecting the middle temporal gyrus with the inferior parietal lobe. The finding links previous neuroimaging and genetic results and proposes a mechanism underlying variability in reading ability in both normal and impaired readers.}, keywords = {}, pubstate = {published}, tppubtype = {article} } BACKGROUND Volume and integrity of white matter correlate with reading ability, but the underlying factors contributing to this variability are unknown. METHODS We investigated single nucleotide polymorphisms in three genes previously associated with dyslexia and implicated in neuronal migration (DYX1C1, DCDC2, KIAA0319) and white matter volume in a cohort of 76 children and young adults from the general population. RESULTS We found that all three genes contained polymorphisms that were significantly associated with white matter volume in the left temporo-parietal region and that white matter volume influenced reading ability. CONCLUSIONS The identified region contained white matter pathways connecting the middle temporal gyrus with the inferior parietal lobe. The finding links previous neuroimaging and genetic results and proposes a mechanism underlying variability in reading ability in both normal and impaired readers. | |
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. |
2015 |
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Neonatal MRI is associated with future cognition and academic achievement in preterm children Journal Article Brain, 138 (11), pp. 3251–3262, 2015, ISSN: 14602156. | |
2012 |
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Three Dyslexia Susceptibility Genes, DYX1C1, DCDC2, and KIAA0319, Affect Temporo-Parietal White Matter Structure Journal Article Biological Psychiatry, 72 (8), pp. 671–676, 2012, ISSN: 00063223. | |
2003 |
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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. |