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Gengeç Benli Ş, İçer S, Demirci E, Karaman ZF, Ak Z, Acer İ, Sağır GR, Aker E, Sertkaya B. Data-driven exploratory method investigation on the effect of dyslexia education at brain connectivity in Turkish children: a preliminary study. Brain Struct Funct 2024; 229:1697-1712. [PMID: 39003410 PMCID: PMC11374831 DOI: 10.1007/s00429-024-02820-5] [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: 03/26/2024] [Accepted: 06/11/2024] [Indexed: 07/15/2024]
Abstract
Dyslexia is a specific learning disability that is neurobiological in origin and is characterized by reading and/or spelling problems affecting the development of language-related skills. The aim of this study is to reveal functional markers based on dyslexia by examining the functions of brain regions in resting state and reading tasks and to analyze the effects of special education given during the treatment process of dyslexia. A total of 43 children, aged between 7 and 12, whose native language was Turkish, participated in the study in three groups including those diagnosed with dyslexia for the first time, those receiving special education for dyslexia, and healthy children. Independent component analysis method was employed to analyze functional connectivity variations among three groups both at rest and during the continuous reading task. A whole-brain scanning during task fulfillment and resting states revealed that there were significant differences in the regions including lateral visual, default mode, left frontoparietal, ventral attention, orbitofrontal and lateral motor network. Our results revealed the necessity of adding motor coordination exercises to the training of dyslexic participants and showed that training led to functional connectivity in some brain regions similar to the healthy group. Additionally, our findings confirmed that impulsivity is associated with motor coordination and visuality, and that the dyslexic group has weaknesses in brain connectivity related to these conditions. According to our preliminary results, the differences obtained between children with dyslexia, group of dyslexia with special education and healthy children has revealed the effect of education on brain functions as well as enabling a comprehensive examination of dyslexia.
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Affiliation(s)
- Şerife Gengeç Benli
- Department of Biomedical Engineering, Engineering Faculty, Erciyes University, Kayseri, Turkey.
| | - Semra İçer
- Department of Biomedical Engineering, Engineering Faculty, Erciyes University, Kayseri, Turkey
| | - Esra Demirci
- Department of Child and Adolescent Psychiatry, Faculty of Medicine, Erciyes University, Kayseri, Turkey
| | - Zehra Filiz Karaman
- Department of Pediatric Radiology, Faculty of Medicine, Erciyes University, Kayseri, Turkey
| | - Zeynep Ak
- Department of Biomedical Engineering, Graduate School of Natural and Applied Sciences, Erciyes University, Kayseri, Turkey
| | - İrem Acer
- Department of Biomedical Engineering, Graduate School of Natural and Applied Sciences, Erciyes University, Kayseri, Turkey
| | - Gizem Rüveyda Sağır
- Department of Biomedical Engineering, Graduate School of Natural and Applied Sciences, Erciyes University, Kayseri, Turkey
| | - Ebru Aker
- Department of Biomedical Engineering, Graduate School of Natural and Applied Sciences, Erciyes University, Kayseri, Turkey
| | - Büşra Sertkaya
- Department of Child and Adolescent Psychiatry, Faculty of Medicine, Erciyes University, Kayseri, Turkey
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Wang Y, Luo J, Ma L, Chen R, Wang J, Chu C, Men W, Tan S, Gao JH, Qin S, He Y, Dong Q, Tao S. Learning to read Chinese promotes two cortico-subcortical pathways: The development of thalamo-occipital and fronto-striatal circuits. Front Neurosci 2022; 16:983084. [PMID: 36090289 PMCID: PMC9448958 DOI: 10.3389/fnins.2022.983084] [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: 06/30/2022] [Accepted: 08/08/2022] [Indexed: 11/25/2022] Open
Abstract
Learning to read may result in network reorganization in the developing brain. The thalamus and striatum are two important subcortical structures involved in learning to read. It remains unclear whether the thalamus and striatum may form two independent cortico-subcortical reading pathways during reading acquisition. In this prospective longitudinal study, we aimed to identify whether there may be two independent cortico-subcortical reading pathways involving the thalamus and striatum and to examine the longitudinal predictions between these two cortico-subcortical pathways and reading development in school-age children using cross-lagged panel modeling. A total of 334 children aged 6-12 years completed two reading assessments and resting functional imaging scans at approximately 12-month intervals. The results showed that there were two independent cortico-subcortical pathways, the thalamo-occipital and fronto-striatal circuits. The former may be part of a visual pathway and was predicted longitudinally by reading ability, and the prediction was stronger in children in lower grades and weaker in children in higher grades. The latter may be part of a cognitive pathway related to attention, memory, and reasoning, which was bidirectionally predicted with reading ability, and the predictive effect gradually increasing with reading development. These results extend previous findings on the relationship between functional connectivity and reading competence in children, highlighting the dynamic relationships between the thalamo-occipital and fronto-striatal circuits and reading acquisition.
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Affiliation(s)
- Yanpei Wang
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China
- IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
| | - Jie Luo
- Department of Psychological Sciences, University of Connecticut, Storrs, CT, United States
| | - Leilei Ma
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China
- IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
| | - Rui Chen
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China
- IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
| | - Jiali Wang
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China
- IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
| | - Congying Chu
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China
- IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
| | - Weiwei Men
- Center for MRI Research, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China
| | - Shuping Tan
- Psychiatry Research Center, Beijing HuiLongGuan Hospital, Peking University, Beijing, China
| | - Jia-Hong Gao
- Center for MRI Research, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China
| | - Shaozheng Qin
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China
- IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
| | - Yong He
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China
- IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
| | - Qi Dong
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China
- IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
| | - Sha Tao
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China
- IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
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Perdue MV, Mahaffy K, Vlahcevic K, Wolfman E, Erbeli F, Richlan F, Landi N. Reading intervention and neuroplasticity: A systematic review and meta-analysis of brain changes associated with reading intervention. Neurosci Biobehav Rev 2022; 132:465-494. [PMID: 34856223 PMCID: PMC10327490 DOI: 10.1016/j.neubiorev.2021.11.011] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2021] [Revised: 11/05/2021] [Accepted: 11/08/2021] [Indexed: 11/22/2022]
Abstract
Behavioral research supports the efficacy of intervention for reading disability, but the brain mechanisms underlying improvement in reading are not well understood. Here, we review 39 neuroimaging studies of reading intervention to characterize links between reading improvement and changes in the brain. We report evidence of changes in activation, connectivity, and structure within the reading network, and right hemisphere, frontal and sub-cortical regions. Our meta-analysis of changes in brain activation from pre- to post- reading intervention in eight studies did not yield any significant effects. Methodological heterogeneity among studies may contribute to the lack of significant meta-analytic findings. Based on our qualitative synthesis, we propose that brain changes in response to intervention should be considered in terms of interactions among distributed cognitive, linguistic and sensory systems, rather than via a "normalized" vs. "compensatory" dichotomy. Further empirical research is needed to identify effects of moderating factors such as features of intervention programs, neuroimaging tasks, and individual differences among participants.
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Affiliation(s)
- Meaghan V Perdue
- Dept. of Psychological Sciences, University of Connecticut, Storrs, CT, USA; Haskins Laboratories, New Haven, CT, USA; Dept. of Radiology, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.
| | - Kelly Mahaffy
- Dept. of Psychological Sciences, University of Connecticut, Storrs, CT, USA; Haskins Laboratories, New Haven, CT, USA
| | - Katherine Vlahcevic
- Dept. of Psychological Sciences, University of Connecticut, Storrs, CT, USA; Haskins Laboratories, New Haven, CT, USA
| | - Emma Wolfman
- Dept. of Psychological Sciences, University of Connecticut, Storrs, CT, USA
| | - Florina Erbeli
- Dept. of Educational Psychology, Texas A&M University, College Station, TX, USA
| | - Fabio Richlan
- Centre for Cognitive Neuroscience & Department of Psychology, University of Salzburg, Salzburg, Austria
| | - Nicole Landi
- Dept. of Psychological Sciences, University of Connecticut, Storrs, CT, USA; Haskins Laboratories, New Haven, CT, USA
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