Meta-analysis of distinct and shared neural networks in reading, mathematical processing, and working memory in school-age children

Reading and mathematical processing are important academic skills for children to learn. Behavioural observations suggest the existence of distinct brain regions for reading and mathematical processing (Kersey et al., 2019), as well as a shared network of general executive processes (Ashkenazi et al...

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Main Author: Lin, Xiaowen
Other Authors: Annabel Chen Shen-Hsing
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2021
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Online Access:https://hdl.handle.net/10356/148884
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spelling sg-ntu-dr.10356-1488842023-03-05T15:46:24Z Meta-analysis of distinct and shared neural networks in reading, mathematical processing, and working memory in school-age children Lin, Xiaowen Annabel Chen Shen-Hsing School of Social Sciences Wu Chiao-Yi AnnabelChen@ntu.edu.sg Social sciences::Psychology Reading and mathematical processing are important academic skills for children to learn. Behavioural observations suggest the existence of distinct brain regions for reading and mathematical processing (Kersey et al., 2019), as well as a shared network of general executive processes (Ashkenazi et al., 2013), with working memory being a potential candidate for this shared network due to its relationship with children’s performance in the two academic domains (Alloway & Alloway, 2010; St Clair-Thompson & Gathercole, 2006). This meta-analysis investigated the involvement of working memory in the common regions of reading and mathematical processing, as well as domain-specific processes in the distinct regions of the two academic domains. Activation Likelihood Estimation (ALE) meta-analysis was used on fMRI studies involving the three domains of interest. Results found common regions in the left parietal and right insular areas, corresponding to general executive functions. Additional overlapping activation in the right inferior parietal lobule was explained by the involvement of visuospatial working memory functions in mathematical processing. Distinct reading-related activations in the left inferior frontal and temporal regions were associated with semantic processes, whereas distinct mathematics-related activations in the parietal areas were associated with numerical processes. Findings revealed common executive function regions that may be responsible for the comorbidity in some learning disabilities, as well as distinct regions that may account for the variability in children’s academic abilities. Bachelor of Arts in Psychology 2021-06-11T01:39:55Z 2021-06-11T01:39:55Z 2021 Final Year Project (FYP) Lin, X. (2021). Meta-analysis of distinct and shared neural networks in reading, mathematical processing, and working memory in school-age children. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/148884 https://hdl.handle.net/10356/148884 en application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Social sciences::Psychology
spellingShingle Social sciences::Psychology
Lin, Xiaowen
Meta-analysis of distinct and shared neural networks in reading, mathematical processing, and working memory in school-age children
description Reading and mathematical processing are important academic skills for children to learn. Behavioural observations suggest the existence of distinct brain regions for reading and mathematical processing (Kersey et al., 2019), as well as a shared network of general executive processes (Ashkenazi et al., 2013), with working memory being a potential candidate for this shared network due to its relationship with children’s performance in the two academic domains (Alloway & Alloway, 2010; St Clair-Thompson & Gathercole, 2006). This meta-analysis investigated the involvement of working memory in the common regions of reading and mathematical processing, as well as domain-specific processes in the distinct regions of the two academic domains. Activation Likelihood Estimation (ALE) meta-analysis was used on fMRI studies involving the three domains of interest. Results found common regions in the left parietal and right insular areas, corresponding to general executive functions. Additional overlapping activation in the right inferior parietal lobule was explained by the involvement of visuospatial working memory functions in mathematical processing. Distinct reading-related activations in the left inferior frontal and temporal regions were associated with semantic processes, whereas distinct mathematics-related activations in the parietal areas were associated with numerical processes. Findings revealed common executive function regions that may be responsible for the comorbidity in some learning disabilities, as well as distinct regions that may account for the variability in children’s academic abilities.
author2 Annabel Chen Shen-Hsing
author_facet Annabel Chen Shen-Hsing
Lin, Xiaowen
format Final Year Project
author Lin, Xiaowen
author_sort Lin, Xiaowen
title Meta-analysis of distinct and shared neural networks in reading, mathematical processing, and working memory in school-age children
title_short Meta-analysis of distinct and shared neural networks in reading, mathematical processing, and working memory in school-age children
title_full Meta-analysis of distinct and shared neural networks in reading, mathematical processing, and working memory in school-age children
title_fullStr Meta-analysis of distinct and shared neural networks in reading, mathematical processing, and working memory in school-age children
title_full_unstemmed Meta-analysis of distinct and shared neural networks in reading, mathematical processing, and working memory in school-age children
title_sort meta-analysis of distinct and shared neural networks in reading, mathematical processing, and working memory in school-age children
publisher Nanyang Technological University
publishDate 2021
url https://hdl.handle.net/10356/148884
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