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Tang X, Turesky TK, Escalante ES, Loh MY, Xia M, Yu X, Gaab N. Longitudinal associations between language network characteristics in the infant brain and school-age reading abilities are mediated by early-developing phonological skills. Dev Cogn Neurosci 2024; 68:101405. [PMID: 38875769 PMCID: PMC11225703 DOI: 10.1016/j.dcn.2024.101405] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2023] [Revised: 04/30/2024] [Accepted: 06/06/2024] [Indexed: 06/16/2024] Open
Abstract
Reading acquisition is a prolonged learning process relying on language development starting in utero. Behavioral longitudinal studies reveal prospective associations between infant language abilities and preschool/kindergarten phonological development that relates to subsequent reading performance. While recent pediatric neuroimaging work has begun to characterize the neural network underlying language development in infants, how this neural network scaffolds long-term language and reading acquisition remains unknown. We addressed this question in a 7-year longitudinal study from infancy to school-age. Seventy-six infants completed resting-state fMRI scanning, and underwent standardized language assessments in kindergarten. Of this larger cohort, forty-one were further assessed on their emergent word reading abilities after receiving formal reading instructions. Hierarchical clustering analyses identified a modular infant language network in which functional connectivity (FC) of the inferior frontal module prospectively correlated with kindergarten-age phonological skills and emergent word reading abilities. These correlations were obtained when controlling for infant age at scan, nonverbal IQ and parental education. Furthermore, kindergarten-age phonological skills mediated the relationship between infant FC and school-age reading abilities, implying a critical mid-way milestone for long-term reading development from infancy. Overall, our findings illuminate the neurobiological mechanisms by which infant language capacities could scaffold long-term reading acquisition.
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Affiliation(s)
- Xinyi Tang
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, China
| | - Ted K Turesky
- Harvard Graduate School of Education, Harvard University, Cambridge, MA 02138, USA
| | - Elizabeth S Escalante
- Harvard Graduate School of Education, Harvard University, Cambridge, MA 02138, USA; Department of Psychology and Neuroscience, University of North Carolina at Chapel Hill, Chapel Hill, NC 27514, USA
| | - Megan Yf Loh
- Harvard Graduate School of Education, Harvard University, Cambridge, MA 02138, USA
| | - Mingrui Xia
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, China
| | - Xi Yu
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, China.
| | - Nadine Gaab
- Harvard Graduate School of Education, Harvard University, Cambridge, MA 02138, USA
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Turesky TK, Escalante E, Loh M, Gaab N. Longitudinal trajectories of brain development from infancy to school age and their relationship to literacy development. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.06.29.601366. [PMID: 39005343 PMCID: PMC11244924 DOI: 10.1101/2024.06.29.601366] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/16/2024]
Abstract
Reading is one of the most complex skills that we utilize daily, and it involves the early development and interaction of various lower-level subskills, including phonological processing and oral language. These subskills recruit brain structures, which begin to develop long before the skill manifests and exhibit rapid development during infancy. However, how longitudinal trajectories of early brain development in these structures supports long-term acquisition of literacy subskills and subsequent reading is unclear. Children underwent structural and diffusion MRI scanning at multiple timepoints between infancy and second grade and were tested for literacy subskills in preschool and decoding and word reading in early elementary school. We developed and implemented a reproducible pipeline to generate longitudinal trajectories of early brain development to examine associations between these trajectories and literacy (sub)skills. Furthermore, we examined whether familial risk of reading difficulty and a child's home literacy environment, two common literacy-related covariates, influenced those trajectories. Results showed that individual differences in curve features (e.g., intercepts and slopes) for longitudinal trajectories of volumetric, surface-based, and white matter organization measures in left-hemispheric reading-related regions and tracts were linked directly to phonological processing and indirectly to second-grade decoding and word reading skills via phonological processing. Altogether, these findings suggest that the brain bases of phonological processing, previously identified as the strongest behavioral predictor of reading and decoding skills, may already begin to develop early in infancy but undergo further refinement between birth and preschool. The present study underscores the importance of considering academic skill acquisition from the very beginning of life.
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Davison KE, Ronderos J, Gomez S, Boucher AR, Zuk J. Caregiver Self-Efficacy in Relation to Caregivers' History of Language and Reading Difficulties and Children's Shared Reading Experiences. Lang Speech Hear Serv Sch 2024; 55:853-869. [PMID: 38820226 PMCID: PMC11253799 DOI: 10.1044/2024_lshss-23-00067] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Revised: 10/13/2023] [Accepted: 04/01/2024] [Indexed: 06/02/2024] Open
Abstract
PURPOSE Emerging literature suggests caregiver self-efficacy is an important factor related to caregivers' shared reading practices with their children. Reduced shared reading has been documented among families of caregiver(s) with language-based learning disabilities (LBLD). Yet, it remains unclear whether caregivers' history of language and reading difficulties is associated with caregiver self-efficacy. The purpose of this study was to examine whether self-efficacy in language- and reading-related caregiver activities related to caregiver history of language and reading difficulties and shared reading practices. METHOD One hundred seventy-six caregivers of children aged 18-60 months completed a custom self-efficacy in language- and reading-related caregiver activities questionnaire, as well as demographic, history of language and reading difficulties (used both as a continuous measure and to dichotomize caregivers with and without LBLD history), and shared reading measures in a one-time survey. RESULTS Caregivers with a history of LBLD reported an overall lower self-efficacy and a reduced amount of time reading with their children per week than caregivers without LBLD history. Examining caregiver history of language and reading difficulties continuously across the whole group, self-efficacy mediated the relationship between caregiver difficulties and shared reading practices, even when caregiver education was incorporated as an additional mediator in models. CONCLUSIONS Findings indicate that self-efficacy and caregiver education mediate the relationship between caregiver history of language and reading difficulties and shared reading practices. Consideration of self-efficacy by clinicians and educators is warranted when promoting shared reading practices to caregivers of young children. There is a need for future research to examine relationships between self-efficacy and shared reading among caregivers with LBLD of culturally and linguistically diverse backgrounds. SUPPLEMENTAL MATERIAL https://doi.org/10.23641/asha.25901590.
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Affiliation(s)
- Kelsey E. Davison
- Department of Speech, Language and Hearing Sciences, Boston University, MA
| | - Juliana Ronderos
- Department of Speech, Language and Hearing Sciences, Boston University, MA
| | - Sophia Gomez
- Department of Speech, Language and Hearing Sciences, Boston University, MA
| | - Alyssa R. Boucher
- Department of Speech, Language and Hearing Sciences, Boston University, MA
| | - Jennifer Zuk
- Department of Speech, Language and Hearing Sciences, Boston University, MA
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Elliott JG, Grigorenko EL. Dyslexia in the twenty-first century: a commentary on the IDA definition of dyslexia. ANNALS OF DYSLEXIA 2024:10.1007/s11881-024-00311-0. [PMID: 38877329 DOI: 10.1007/s11881-024-00311-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/05/2024] [Accepted: 05/29/2024] [Indexed: 06/16/2024]
Abstract
In offering a commentary upon the IDA definition, we address its main components in turn. While each is technically accurate, we argue that, when taken together, the definition, or more accurately, the use to which it is often put, becomes problematic. We outline different current conceptions of dyslexia and conclude that the operationalisation of the definition for diagnostic purposes often results in scientifically questionable diagnoses and inadvertently leads to significant educational inequity. We propose a simpler definition that describes the primary difficulty, avoids reference to causal explanation, unexpectedness, and secondary outcomes, and redirects practitioner and policymaker focus to the importance of addressing and meeting the needs of all struggling readers.
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Tang X, Turesky TK, Escalante ES, Loh MY, Xia M, Yu X, Gaab N. Longitudinal associations between language network characteristics in the infant brain and school-age reading abilities are mediated by early-developing phonological skills. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2023.06.22.546194. [PMID: 38895379 PMCID: PMC11185523 DOI: 10.1101/2023.06.22.546194] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/21/2024]
Abstract
Reading acquisition is a prolonged learning process relying on language development starting in utero. Behavioral longitudinal studies reveal prospective associations between infant language abilities and preschool/kindergarten phonological development that relates to subsequent reading performance. While recent pediatric neuroimaging work has begun to characterize the neural network underlying language development in infants, how this neural network scaffolds long-term language and reading acquisition remains unknown. We addressed this question in a 7-year longitudinal study from infancy to school-age. Seventy-six infants completed resting-state fMRI scanning, and underwent standardized language assessments in kindergarten. Of this larger cohort, forty-one were further assessed on their emergent word reading abilities after receiving formal reading instructions. Hierarchical clustering analyses identified a modular infant language network in which functional connectivity (FC) of the inferior frontal module prospectively correlated with kindergarten-age phonological skills and emergent word reading abilities. These correlations were obtained when controlling for infant age at scan, nonverbal IQ and parental education. Furthermore, kindergarten-age phonological skills mediated the relationship between infant FC and school-age reading abilities, implying a critical mid-way milestone for long-term reading development from infancy. Overall, our findings illuminate the neurobiological mechanisms by which infant language capacities could scaffold long-term reading acquisition.
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Affiliation(s)
- Xinyi Tang
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China, 100875
| | - Ted K. Turesky
- Harvard Graduate School of Education, Harvard University, Cambridge, Massachusetts, USA, 02138
| | - Elizabeth S. Escalante
- Harvard Graduate School of Education, Harvard University, Cambridge, Massachusetts, USA, 02138
| | - Megan Yf Loh
- Harvard Graduate School of Education, Harvard University, Cambridge, Massachusetts, USA, 02138
| | - Mingrui Xia
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China, 100875
| | - Xi Yu
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China, 100875
| | - Nadine Gaab
- Harvard Graduate School of Education, Harvard University, Cambridge, Massachusetts, USA, 02138
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Roy E, Van Rinsveld A, Nedelec P, Richie-Halford A, Rauschecker AM, Sugrue LP, Rokem A, McCandliss BD, Yeatman JD. Differences in educational opportunity predict white matter development. Dev Cogn Neurosci 2024; 67:101386. [PMID: 38676989 DOI: 10.1016/j.dcn.2024.101386] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2023] [Revised: 02/05/2024] [Accepted: 04/15/2024] [Indexed: 04/29/2024] Open
Abstract
Coarse measures of socioeconomic status, such as parental income or parental education, have been linked to differences in white matter development. However, these measures do not provide insight into specific aspects of an individual's environment and how they relate to brain development. On the other hand, educational intervention studies have shown that changes in an individual's educational context can drive measurable changes in their white matter. These studies, however, rarely consider socioeconomic factors in their results. In the present study, we examined the unique relationship between educational opportunity and white matter development, when controlling other known socioeconomic factors. To explore this question, we leveraged the rich demographic and neuroimaging data available in the ABCD study, as well the unique data-crosswalk between ABCD and the Stanford Education Data Archive (SEDA). We find that educational opportunity is related to accelerated white matter development, even when accounting for other socioeconomic factors, and that this relationship is most pronounced in white matter tracts associated with academic skills. These results suggest that the school a child attends has a measurable relationship with brain development for years to come.
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Affiliation(s)
- Ethan Roy
- Graduate School of Education, Stanford University, Stanford, CA, USA.
| | | | - Pierre Nedelec
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA
| | - Adam Richie-Halford
- Graduate School of Education, Stanford University, Stanford, CA, USA; Division of Developmental-Behavioral Pediatrics, Stanford University, Stanford, CA, USA
| | - Andreas M Rauschecker
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA
| | - Leo P Sugrue
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA
| | - Ariel Rokem
- Department of Psychology and eScience Institute, University of Washington, Seattle, WA, USA
| | | | - Jason D Yeatman
- Graduate School of Education, Stanford University, Stanford, CA, USA; Division of Developmental-Behavioral Pediatrics, Stanford University, Stanford, CA, USA
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Gaab N, Duggan N. Leveraging brain science for impactful advocacy and policymaking: The synergistic partnership between developmental cognitive neuroscientists and a parent-led grassroots movement to drive dyslexia prevention policy and legislation. Dev Cogn Neurosci 2024; 66:101376. [PMID: 38608358 PMCID: PMC11019101 DOI: 10.1016/j.dcn.2024.101376] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2023] [Revised: 03/01/2024] [Accepted: 04/04/2024] [Indexed: 04/14/2024] Open
Abstract
Reading proficiency is crucial for academic, vocational, and economic success and has been closely linked to health outcomes. Unfortunately, in the United States, a concerning 63% of fourth-grade children are reading below grade level, with approximately 7%-10% exhibiting a disability in word reading, developmental dyslexia. Research in developmental cognitive neuroscience indicates that individuals with dyslexia show functional and structural brain alterations in regions processing reading and reading-related information, with some of these differences emerging as early as preschool and even infancy. This suggests that some children start schooling with less optimal brain architecture for learning to read, emphasizing the need for preventative education practices. This article reviews educational policies impacting children with dyslexia and highlights a decentralized parent-led grassroots movement, Decoding Dyslexia, which centers the voices of those directly impacted by dyslexia. It utilizes civic engagement practices, advocacy and lobbying on local, federal, and social media platforms, and strong partnerships with scientists to drive systems-level change in educational practices, leading to dyslexia prevention legislation across the U.S. The ongoing partnership continues to address the profound gaps between scientific findings and policymaking to drive systems-level change for contemporary challenges in educational practices within a learning disabilities framework.
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Roy E, Richie-Halford A, Kruper J, Narayan M, Bloom D, Nedelec P, Rauschecker AM, Sugrue LP, Brown TT, Jernigan TL, McCandliss BD, Rokem A, Yeatman JD. White matter and literacy: A dynamic system in flux. Dev Cogn Neurosci 2024; 65:101341. [PMID: 38219709 PMCID: PMC10825614 DOI: 10.1016/j.dcn.2024.101341] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Revised: 08/24/2023] [Accepted: 01/03/2024] [Indexed: 01/16/2024] Open
Abstract
Cross-sectional studies have linked differences in white matter tissue properties to reading skills. However, past studies have reported a range of, sometimes conflicting, results. Some studies suggest that white matter properties act as individual-level traits predictive of reading skill, whereas others suggest that reading skill and white matter develop as a function of an individual's educational experience. In the present study, we tested two hypotheses: a) that diffusion properties of the white matter reflect stable brain characteristics that relate to stable individual differences in reading ability or b) that white matter is a dynamic system, linked with learning over time. To answer these questions, we examined the relationship between white matter and reading in a five-year longitudinal dataset and a series of large-scale, single-observation, cross-sectional datasets (N = 14,249 total participants). We find that gains in reading skill correspond to longitudinal changes in the white matter. However, in the cross-sectional datasets, we find no evidence for the hypothesis that individual differences in white matter predict reading skill. These findings highlight the link between dynamic processes in the white matter and learning.
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Affiliation(s)
- Ethan Roy
- Graduate School of Education, Stanford University, Stanford, CA, USA.
| | - Adam Richie-Halford
- Graduate School of Education, Stanford University, Stanford, CA, USA; Department of Psychology and eScience Institute, University of Washington, Seattle, WA, USA; Division of Developmental-Behavioral Pediatrics, Stanford University, Stanford, CA, USA
| | - John Kruper
- Department of Psychology and eScience Institute, University of Washington, Seattle, WA, USA
| | - Manjari Narayan
- Division of Developmental-Behavioral Pediatrics, Stanford University, Stanford, CA, USA
| | - David Bloom
- Department of Psychology and eScience Institute, University of Washington, Seattle, WA, USA
| | - Pierre Nedelec
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA
| | - Andreas M Rauschecker
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA
| | - Leo P Sugrue
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA
| | - Timothy T Brown
- School of Medicine, University of California San Diego, San Diego, CA, USA
| | - Terry L Jernigan
- Center for Human Development, University of California San Diego, San Diego, CA, USA
| | | | - Ariel Rokem
- Department of Psychology and eScience Institute, University of Washington, Seattle, WA, USA
| | - Jason D Yeatman
- Graduate School of Education, Stanford University, Stanford, CA, USA; Division of Developmental-Behavioral Pediatrics, Stanford University, Stanford, CA, USA
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Zou L, Huang A, Wu K, Zhang X, Zhang K, Wen W, Guan L, Huang Y. Home reading environment, sociometric and demographic factors associated with dyslexia in primary school students in China: A case-control study. Heliyon 2023; 9:e22100. [PMID: 38027564 PMCID: PMC10658363 DOI: 10.1016/j.heliyon.2023.e22100] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Revised: 10/13/2023] [Accepted: 11/03/2023] [Indexed: 12/01/2023] Open
Abstract
Background Developmental dyslexia (DD) has been generally recognized as a multifactorial psychological disorder in recent decades. However, studies on reading and learning environment, social and demographic factors affecting Chinese developmental dyslexia (DD) are still scarce in China. This study aims to explore multidimensional home influencing factors associated with DD before and after birth. Methods A total of 60 dyslexic and 252 normal elementary school students graded 2-5 were recruited in Shantou, China. The Least Absolute Shrinkage and Selection Operator (LASSO) regression model was used for the social and demographic variables screening. Odds ratios (ORs) with 95 % confidence intervals (CIs) for associations between DD and related factors were estimated by multivariate logistic regression models. Results Through LASSO regression, we ultimately identified 13 key variables, including maternal education level and family monthly income, among others. The logistic regression analyses showed that the risk of DD was higher in children with lower maternal education levels. Divergent parenting styles may be a risk factor for developing DD as opposed to consistent parenting styles (OR = 4.93, 95%CI: 1.11-21.91). Children whose mothers suffered from malnutrition during pregnancy were more likely to develop DD (OR = 10.31, 95%CI: 1.84-37.86), as well as exposure to second-hand smoking at home every day (OR = 5.33, 95%CI: 1.52-18.66). Interestingly, children's active reading (OR = 0.26, 95%CI: 0.08-0.84; OR = 0.17, 95%CI: 0.04-0.76 for "sometimes" and "often" compared to none, respectively), children having extracurricular reading fairy tale books (OR = 0.37, 95%CI: 0.15-0.90), and children having extracurricular reading composition books (OR = 0.25, 95%CI: 0.09-0.69) were significant protective factors for DD. Conclusions Home reading environment, several educational, sociometric and demographic factors may influence the development of dyslexia. We should pay attention to these factors on the development of dyslexia, so as to provide the well social and familial environment to ensure the healthy development of children.
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Affiliation(s)
- Lijing Zou
- Mental Health Center of Shantou University, Shantou, Guangdong, China
| | - Anyan Huang
- Mental Health Center of Shantou University, Shantou, Guangdong, China
- Department of Health Care, Shantou Maternal and Child Health Hospital, Shantou, Guangdong, China
| | - Kusheng Wu
- Department of Preventive Medicine, Shantou University Medical College, Shantou, Guangdong, China
| | - Xuanzhi Zhang
- Mental Health Center of Shantou University, Shantou, Guangdong, China
- Shantou University Medical College—Faculty of Medicine of University of Manitoba Joint Laboratory of Biological Psychiatry, China
| | - Kaiguo Zhang
- Somatotherapy Department, Shenzhen Mental Health Center, Shenzhen, Guangdong, China
| | - Wanyi Wen
- School of Public Health, Shantou University, Shantou, Guangdong, China
| | - Liwen Guan
- School of Public Health, Shantou University, Shantou, Guangdong, China
| | - Yanhong Huang
- Mental Health Center of Shantou University, Shantou, Guangdong, China
- Shantou University Medical College—Faculty of Medicine of University of Manitoba Joint Laboratory of Biological Psychiatry, China
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Lawton W, Araujo O, Kufaishi Y. Language Environment and Infants' Brain Structure. J Neurosci 2023; 43:5129-5131. [PMID: 37438100 PMCID: PMC10342219 DOI: 10.1523/jneurosci.0787-23.2023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2023] [Revised: 06/05/2023] [Accepted: 06/08/2023] [Indexed: 07/14/2023] Open
Affiliation(s)
- Will Lawton
- Centre for Neuroscience Studies, Queen's University, Kingston, Ontario K7L 3N6, Canada
| | - Ozzy Araujo
- Undergraduate Life Sciences Program, Queen's University, Kingston, Ontario K7L 3N6, Canada
| | - Yousif Kufaishi
- Undergraduate Life Sciences Program, Queen's University, Kingston, Ontario K7L 3N6, Canada
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Davison KE, Zuk J, Mullin LJ, Ozernov-Palchik O, Norton E, Gabrieli JDE, Yu X, Gaab N. Examining Shared Reading and White Matter Organization in Kindergarten in Relation to Subsequent Language and Reading Abilities: A Longitudinal Investigation. J Cogn Neurosci 2023; 35:259-275. [PMID: 36378907 PMCID: PMC9884137 DOI: 10.1162/jocn_a_01944] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Parent-child language interaction in early childhood carries long-term implications for children's language and reading development. Conversational interaction, in particular, has been linked to white matter organization of neural pathways critical for language and reading. However, shared book reading serves an important role for language interaction as it exposes children to sophisticated vocabulary and syntax. Despite this, it remains unclear whether shared reading also relates to white matter characteristics subserving language and reading development. If so, to what extent do these environmentally associated changes in white matter organization relate to subsequent reading outcomes? This longitudinal study examined shared reading and white matter organization in kindergarten in relation to subsequent language and reading outcomes among 77 typically developing children. Findings reveal positive associations between the number of hours children are read to weekly (shared reading time) and the fractional anisotropy of the left arcuate fasciculus, as well as left lateralization of the superior longitudinal fasciculus (SLF). Furthermore, left lateralization of the SLF in these kindergarteners is associated with subsequent reading abilities in second grade. Mediation analyses reveal that left lateralization of the SLF fully mediates the relationship between shared reading time and second-grade reading abilities. Results are significant when controlling for age and socioeconomic status. This is the first evidence demonstrating how white matter structure, in relation to shared reading in kindergarten, is associated with school-age reading outcomes. Results illuminate shared reading as a key proxy for the home language and literacy environment and further our understanding of how language interaction may support neurocognitive development.
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Affiliation(s)
| | | | | | | | | | | | - Xi Yu
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University
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