Children identified for classroom-based math support show altered resting-state connectivity in parietal brain regions
Abstract Approximately 25% of school-age children experience mathematics difficulties (MD). Mathematics skills have been correlated with resting-state functional connectivity (rsFC) between parietal brain regions, including the intraparietal sulcus (IPS) and the angular gyrus (AG), and a fronto-pari...
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Nature Portfolio
2025-07-01
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| Online Access: | https://doi.org/10.1038/s41598-025-12809-7 |
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| author | Isabella Starling-Alves Lina Shanley Madison A. Cook Fred W. Sabb Jolinda Smith Ben Clarke Eric D. Wilkey |
| author_facet | Isabella Starling-Alves Lina Shanley Madison A. Cook Fred W. Sabb Jolinda Smith Ben Clarke Eric D. Wilkey |
| author_sort | Isabella Starling-Alves |
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| description | Abstract Approximately 25% of school-age children experience mathematics difficulties (MD). Mathematics skills have been correlated with resting-state functional connectivity (rsFC) between parietal brain regions, including the intraparietal sulcus (IPS) and the angular gyrus (AG), and a fronto-parietal network. However, the patterns of rsFC in children with MD remain less clear. This study conducted a seed-to-voxel analysis contrasting the rsFC profiles of 46 1st graders with MD (mean age = 6.95, sd = 0.34) and 60 1st graders with typical achievement (mean age = 7.08, sd = 0.38) in subdivisions of the intraparietal sulcus (hIP1, hIP2, and hIP3) and the angular gyrus (PGa, and PGp), bilaterally. Results suggested a pattern of hyperconnectivity between the right hIP2 and the left hippocampus and hypoconnectivity between the right PGa and the right ventral occipito-temporal cortex in children with MD. A multivariate classification analysis based on the rsFC maps extracted from the IPS and AG subdivisions indicated that a support-vector machine classifier distinguished between groups with accuracy above chance, particularly based on the rsFC of the left hIP1, the right hIP3, and the left PGp. These findings suggest atypical rsFC in the IPS and the AG in MD, with patterns of both hyper- and hypoconnectivity. |
| format | Article |
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| institution | Kabale University |
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| language | English |
| publishDate | 2025-07-01 |
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| spelling | doaj-art-209536d8a0054a1e941ddf1c0fa2d5462025-08-20T04:01:52ZengNature PortfolioScientific Reports2045-23222025-07-0115111410.1038/s41598-025-12809-7Children identified for classroom-based math support show altered resting-state connectivity in parietal brain regionsIsabella Starling-Alves0Lina Shanley1Madison A. Cook2Fred W. Sabb3Jolinda Smith4Ben Clarke5Eric D. Wilkey6Department of Psychology & Human Development, Peabody College, Vanderbilt UniversityCenter on Teaching and Learning, University of OregonCenter on Teaching and Learning, University of OregonPrevention Science Institute, University of OregonRobert and Beverly Lewis Center for Neuroimaging, University of OregonCenter on Teaching and Learning, University of OregonDepartment of Psychology & Human Development, Peabody College, Vanderbilt UniversityAbstract Approximately 25% of school-age children experience mathematics difficulties (MD). Mathematics skills have been correlated with resting-state functional connectivity (rsFC) between parietal brain regions, including the intraparietal sulcus (IPS) and the angular gyrus (AG), and a fronto-parietal network. However, the patterns of rsFC in children with MD remain less clear. This study conducted a seed-to-voxel analysis contrasting the rsFC profiles of 46 1st graders with MD (mean age = 6.95, sd = 0.34) and 60 1st graders with typical achievement (mean age = 7.08, sd = 0.38) in subdivisions of the intraparietal sulcus (hIP1, hIP2, and hIP3) and the angular gyrus (PGa, and PGp), bilaterally. Results suggested a pattern of hyperconnectivity between the right hIP2 and the left hippocampus and hypoconnectivity between the right PGa and the right ventral occipito-temporal cortex in children with MD. A multivariate classification analysis based on the rsFC maps extracted from the IPS and AG subdivisions indicated that a support-vector machine classifier distinguished between groups with accuracy above chance, particularly based on the rsFC of the left hIP1, the right hIP3, and the left PGp. These findings suggest atypical rsFC in the IPS and the AG in MD, with patterns of both hyper- and hypoconnectivity.https://doi.org/10.1038/s41598-025-12809-7Learning disorderDyscalculiaResting-state functional connectivityIntraparietal sulcusAngular gyrus |
| spellingShingle | Isabella Starling-Alves Lina Shanley Madison A. Cook Fred W. Sabb Jolinda Smith Ben Clarke Eric D. Wilkey Children identified for classroom-based math support show altered resting-state connectivity in parietal brain regions Scientific Reports Learning disorder Dyscalculia Resting-state functional connectivity Intraparietal sulcus Angular gyrus |
| title | Children identified for classroom-based math support show altered resting-state connectivity in parietal brain regions |
| title_full | Children identified for classroom-based math support show altered resting-state connectivity in parietal brain regions |
| title_fullStr | Children identified for classroom-based math support show altered resting-state connectivity in parietal brain regions |
| title_full_unstemmed | Children identified for classroom-based math support show altered resting-state connectivity in parietal brain regions |
| title_short | Children identified for classroom-based math support show altered resting-state connectivity in parietal brain regions |
| title_sort | children identified for classroom based math support show altered resting state connectivity in parietal brain regions |
| topic | Learning disorder Dyscalculia Resting-state functional connectivity Intraparietal sulcus Angular gyrus |
| url | https://doi.org/10.1038/s41598-025-12809-7 |
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