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Economou M, Vanden Bempt F, Van Herck S, Glatz T, Wouters J, Ghesquière P, Vanderauwera J, Vandermosten M. Cortical Structure in Pre-Readers at Cognitive Risk for Dyslexia: Baseline Differences and Response to Intervention. NEUROBIOLOGY OF LANGUAGE (CAMBRIDGE, MASS.) 2024; 5:264-287. [PMID: 38832361 PMCID: PMC11093402 DOI: 10.1162/nol_a_00122] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Accepted: 09/12/2023] [Indexed: 06/05/2024]
Abstract
Early childhood is a critical period for structural brain development as well as an important window for the identification and remediation of reading difficulties. Recent research supports the implementation of interventions in at-risk populations as early as kindergarten or first grade, yet the neurocognitive mechanisms following such interventions remain understudied. To address this, we investigated cortical structure by means of anatomical MRI before and after a 12-week tablet-based intervention in: (1) at-risk children receiving phonics-based training (n = 29; n = 16 complete pre-post datasets), (2) at-risk children engaging with AC training (n = 24; n = 15 complete pre-post datasets) and (3) typically developing children (n = 25; n = 14 complete pre-post datasets) receiving no intervention. At baseline, we found higher surface area of the right supramarginal gyrus in at-risk children compared to typically developing peers, extending previous evidence that early anatomical differences exist in children who may later develop dyslexia. Our longitudinal analysis revealed significant post-intervention thickening of the left supramarginal gyrus, present exclusively in the intervention group but not the active control or typical control groups. Altogether, this study contributes new knowledge to our understanding of the brain morphology associated with cognitive risk for dyslexia and response to early intervention, which in turn raises new questions on how early anatomy and plasticity may shape the trajectories of long-term literacy development.
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Affiliation(s)
| | | | | | - Toivo Glatz
- Department of Neurosciences, KU Leuven, Leuven, Belgium
| | - Jan Wouters
- Department of Neurosciences, KU Leuven, Leuven, Belgium
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Feng Y, Wan Y, Wang H, Jiang Q, Zhu K, Xiang Z, Liu R, Zhao S, Zhu Y, Song R. Dyslexia is associated with urinary polycyclic aromatic hydrocarbon metabolite concentrations of children from China: Data from the READ program. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2024; 346:123538. [PMID: 38341065 DOI: 10.1016/j.envpol.2024.123538] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/05/2023] [Revised: 01/24/2024] [Accepted: 02/07/2024] [Indexed: 02/12/2024]
Abstract
It has been found that exposure to polycyclic aromatic hydrocarbons (PAHs) is associated with the risk of certain childhood neurodevelopmental disorders. However, no research has investigated the relationship between exposure to PAHs and children's dyslexia odds. The objective of this research was to investigate whether urinary mono-hydroxylated polycyclic aromatic hydrocarbons (OH-PAHs) are associated with increased dyslexia odds in Chinese children. We recruited 1,089 children (542 dyslexic children and 547 non-dyslexic children) for this case-control study. Ten OH-PAHs were measured in the participants' urine samples, which were collected between November 2017 and March 2023. Odds ratios (ORs) of the associations between the OH-PAHs and dyslexia were calculated using logistic regression models, after adjustment for the potential confounding factors. A significant association was found between urinary concentrations of 2-hydroxynaphthalene (2-OHNap) and the elevated odds of dyslexia. The children in the highest quartile of 2-OHNap had a higher OR of dyslexia (1.87, 95% CI: 1.07-3.27) than those in the lowest quartile (P-trend = 0.02) after adjustment for the covariates. After excluding children with maternal disorders during pregnancy, logistic regression analyses showed similar results. Our results suggested a possible association between PAH exposure and the elevated odds of dyslexia.
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Affiliation(s)
- Yanan Feng
- Department of Maternal and Child Health and MOE Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China; Department of Nursing, Medical School, Shihezi University, Shihezi, 832003, China
| | - Yanjian Wan
- Center for Public Health Laboratory Service, Institute of Environmental Health, Wuhan Centers for Disease Control & Prevention, Wuhan, Hubei, 430024, China
| | - Haoxue Wang
- Department of Maternal and Child Health and MOE Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Qi Jiang
- Department of Maternal and Child Health and MOE Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Kaiheng Zhu
- Department of Maternal and Child Health and MOE Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Zhen Xiang
- Department of Maternal and Child Health and MOE Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Rundong Liu
- Department of Maternal and Child Health and MOE Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Shuai Zhao
- Department of Maternal and Child Health and MOE Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Ying Zhu
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, 430072, China
| | - Ranran Song
- Department of Maternal and Child Health and MOE Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
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Wang M, Wang Z, Yu Y, Zhao D, Shen Z, Wei F. From teeth to brain: dental caries causally affects the cortical thickness of the banks of the superior temporal sulcus. BMC Oral Health 2024; 24:124. [PMID: 38263072 PMCID: PMC10807149 DOI: 10.1186/s12903-024-03899-2] [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: 11/16/2023] [Accepted: 01/15/2024] [Indexed: 01/25/2024] Open
Abstract
OBJECTIVES Dental caries is one of the most prevalent oral diseases and causes of tooth loss. Cross-sectional studies observed epidemiological associations between dental caries and brain degeneration disorders, while it is unknown whether dental caries causally affect the cerebral structures. This study tested whether genetically proxied DMFS (the sum of Decayed, Missing, and Filled tooth Surfaces) causally impacts the brain cortical structure using Mendelian randomization (MR). METHODS The summary-level GWAS meta-analysis data from the GLIDE consortium were used for DMFS, including 26,792 participants. ENIGMA (Enhancing NeuroImaging Genetics through Meta Analysis) consortium GWAS summary data of 51,665 patients were used for brain structure. This study estimated the causal effects of DMFS on the surface area (SA) and thickness (TH) of the global cortex and functional cortical regions accessed by magnetic resonance imaging (MRI). Inverse-variance weighted (IVW) was used as the primary estimate, the MR pleiotropy residual sum and outlier (MR-PRESSO), the MR-Egger intercept test, and leave-one-out analyses were used to examine the potential horizontal pleiotropy. RESULTS Genetically proxied DMFS decreases the TH of the banks of the superior temporal sulcus (BANSSTS) with or without global weighted (weighted, β = - 0.0277 mm, 95% CI: - 0.0470 mm to - 0.0085 mm, P = 0.0047; unweighted, β = - 0.0311 mm, 95% CI: - 0.0609 mm to - 0.0012 mm, P = 0.0412). The causal associations were robust in various sensitivity analyses. CONCLUSIONS Dental caries causally decrease the cerebral cortical thickness of the BANKSSTS, a cerebral cortical region crucial for language-related functions, and is the most affected brain region in Alzheimer's disease. This investigation provides the first evidence that dental caries causally affects brain structure, proving the existence of teeth-brain axes. This study also suggested that clinicians should highlight the causal effects of dental caries on brain disorders during the diagnosis and treatments, the cortical thickness of BANKSSTS is a promising diagnostic measurement for dental caries-related brain degeneration.
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Affiliation(s)
- Mengqiao Wang
- Department of Orthodontics, School and Hospital of Stomatology, Cheeloo College of Medicine, Shandong University, Jinan, China
- Shandong Key Laboratory of Oral Tissue Regeneration & Shandong Engineering Research Center of Dental Materials and Oral Tissue Regeneration & Shandong Provincial Clinical Research Center for Oral Diseases, Jinan, China
| | - Ziyao Wang
- Department of Orthodontics, School and Hospital of Stomatology, Cheeloo College of Medicine, Shandong University, Jinan, China
- Shandong Key Laboratory of Oral Tissue Regeneration & Shandong Engineering Research Center of Dental Materials and Oral Tissue Regeneration & Shandong Provincial Clinical Research Center for Oral Diseases, Jinan, China
| | - Yajie Yu
- National Clinical Research Center for Mental Disorders, Peking University Sixth Hospital/Institute of Mental Health, The Key Laboratory of Mental Health, Ministry of Health, Peking University, Beijing, 100191, China
| | - Delu Zhao
- Department of Orthodontics, School and Hospital of Stomatology, Cheeloo College of Medicine, Shandong University, Jinan, China
- Shandong Key Laboratory of Oral Tissue Regeneration & Shandong Engineering Research Center of Dental Materials and Oral Tissue Regeneration & Shandong Provincial Clinical Research Center for Oral Diseases, Jinan, China
| | - Zhiyuan Shen
- Department of Oral and Maxillofacial Surgery, School and Hospital of Stomatology, Cheeloo College of Medicine, Shandong University, Jinan, China
- Shandong Key Laboratory of Oral Tissue Regeneration & Shandong Engineering Research Center of Dental Materials and Oral Tissue Regeneration & Shandong Provincial Clinical Research Center for Oral Diseases, Jinan, China
| | - Fulan Wei
- Department of Orthodontics, School and Hospital of Stomatology, Cheeloo College of Medicine, Shandong University, Jinan, China.
- Shandong Key Laboratory of Oral Tissue Regeneration & Shandong Engineering Research Center of Dental Materials and Oral Tissue Regeneration & Shandong Provincial Clinical Research Center for Oral Diseases, Jinan, China.
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Eckert MA, Vaden KI, Paracchini S. Auditory Cortex Asymmetry Associations with Individual Differences in Language and Cognition. Brain Sci 2023; 14:14. [PMID: 38248230 PMCID: PMC10813516 DOI: 10.3390/brainsci14010014] [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: 11/23/2023] [Revised: 12/14/2023] [Accepted: 12/20/2023] [Indexed: 01/23/2024] Open
Abstract
A longstanding cerebral lateralization hypothesis predicts that disrupted development of typical leftward structural asymmetry of auditory cortex explains why children have problems learning to read. Small sample sizes and small effects, potential sex-specific effects, and associations that are limited to specific dimensions of language are thought to have contributed inconsistent results. The large ABCD study dataset (baseline visit: N = 11,859) was used to test the hypothesis of significant associations between surface area asymmetry of auditory cortex and receptive vocabulary performance across boys and girls, as well as an oral word reading effect that was specific to boys. The results provide modest support (Cohen's d effect sizes ≤ 0.10) for the cerebral lateralization hypothesis.
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Grants
- U01 DA051039 NIDA NIH HHS
- U01 DA041120 NIDA NIH HHS
- R01 HD069374 NICHD NIH HHS
- U01 DA051018 NIDA NIH HHS
- U01 DA041093 NIDA NIH HHS
- U24 DA041123 NIDA NIH HHS
- U01 DA051038 NIDA NIH HHS
- U01 DA051037 NIDA NIH HHS
- U01 DA051016 NIDA NIH HHS
- U01 DA041106 NIDA NIH HHS
- U01 DA041117 NIDA NIH HHS
- U01 DA041148 NIDA NIH HHS
- U24 DA041147 NIDA NIH HHS
- C06 RR014516 NCRR NIH HHS
- U01 DA041134 NIDA NIH HHS
- U01 DA041022 NIDA NIH HHS
- U01 DA041156 NIDA NIH HHS
- U01 DA050987 NIDA NIH HHS
- U01 DA041025 NIDA NIH HHS
- U01 DA050989 NIDA NIH HHS
- U01 DA041089 NIDA NIH HHS
- U01 DA050988 NIDA NIH HHS
- U01 DA041028 NIDA NIH HHS
- U01 DA041048 NIDA NIH HHS
- U01 DA041174 NIDA NIH HHS
- U01DA041048, 273 U01DA050989, U01DA051016, U01DA041022, U01DA051018, U01DA051037, U01DA050987, 274 U01DA041174, U01DA041106, U01DA041117, U01DA041028, U01DA041134, U01DA050988, 275 U01DA051039, U01DA041156, U01DA041025, U01DA041120, U01DA051038, U01DA0411 NIH HHS
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Affiliation(s)
- Mark A. Eckert
- Department of Otolaryngology—Head and Neck Surgery, Medical University of South Carolina, Charleston, SC 29425, USA;
| | - Kenneth I. Vaden
- Department of Otolaryngology—Head and Neck Surgery, Medical University of South Carolina, Charleston, SC 29425, USA;
| | - Silvia Paracchini
- School of Medicine, University of St. Andrews, North Haugh, St. Andrews KY16 9TF, UK;
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Cummine J, Ngo T, Nisbet K. Characterization of Cortical and Subcortical Structural Brain Asymmetry in Adults with and without Dyslexia. Brain Sci 2023; 13:1622. [PMID: 38137070 PMCID: PMC10741947 DOI: 10.3390/brainsci13121622] [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: 10/05/2023] [Revised: 10/31/2023] [Accepted: 11/16/2023] [Indexed: 12/24/2023] Open
Abstract
Multiple cortical (planum temporale, supramarginal gyrus, fusiform gyrus) and subcortical (caudate, putamen, and thalamus) regions have shown different functional lateralization patterns for skilled vs. dyslexic readers. The extent to which skilled and dyslexic adult readers show differential structural lateralization remains to be seen. Method: Participants included 72 adults (N = 41 skilled; N = 31 dyslexic) who underwent a high-resolution MRI brain scan. The grey matter volume of the cortical and subcortical structures was extracted. Results: While there were clear behavioral differences between the groups, there were no differences in any of the isolated structures (i.e., either total size or asymmetry index) and limited evidence for any brain-behavior relationships. We did find a significant cortical-cortical relationship (p = 0.006) and a subcortical-subcortical relationship (p = 0.008), but not cross-over relationships. Overall, this work provides unique information on neural structures as they relate to reading in skilled and dyslexic readers.
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Affiliation(s)
- Jacqueline Cummine
- Department of Communication Sciences and Disorders, Faculty of Rehabilitation Medicine, University of Alberta, Edmonton, AB T6G2G4, Canada; (T.N.); (K.N.)
- Neuroscience and Mental Health Institute, Faculty of Medicine, University of Alberta, Edmonton, AB T6G2G4, Canada
| | - Tiffany Ngo
- Department of Communication Sciences and Disorders, Faculty of Rehabilitation Medicine, University of Alberta, Edmonton, AB T6G2G4, Canada; (T.N.); (K.N.)
| | - Kelly Nisbet
- Department of Communication Sciences and Disorders, Faculty of Rehabilitation Medicine, University of Alberta, Edmonton, AB T6G2G4, Canada; (T.N.); (K.N.)
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Ren X, Libertus ME. Identifying the Neural Bases of Math Competence Based on Structural and Functional Properties of the Human Brain. J Cogn Neurosci 2023; 35:1212-1228. [PMID: 37172121 DOI: 10.1162/jocn_a_02008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/14/2023]
Abstract
Human populations show large individual differences in math performance and math learning abilities. Early math skill acquisition is critical for providing the foundation for higher quantitative skill acquisition and succeeding in modern society. However, the neural bases underlying individual differences in math competence remain unclear. Modern neuroimaging techniques allow us to not only identify distinct local cortical regions but also investigate large-scale neural networks underlying math competence both structurally and functionally. To gain insights into the neural bases of math competence, this review provides an overview of the structural and functional neural markers for math competence in both typical and atypical populations of children and adults. Although including discussion of arithmetic skills in children, this review primarily focuses on the neural markers associated with complex math skills. Basic number comprehension and number comparison skills are outside the scope of this review. By synthesizing current research findings, we conclude that neural markers related to math competence are not confined to one particular region; rather, they are characterized by a distributed and interconnected network of regions across the brain, primarily focused on frontal and parietal cortices. Given that human brain is a complex network organized to minimize the cost of information processing, an efficient brain is capable of integrating information from different regions and coordinating the activity of various brain regions in a manner that maximizes the overall efficiency of the network to achieve the goal. We end by proposing that frontoparietal network efficiency is critical for math competence, which enables the recruitment of task-relevant neural resources and the engagement of distributed neural circuits in a goal-oriented manner. Thus, it will be important for future studies to not only examine brain activation patterns of discrete regions but also examine distributed network patterns across the brain, both structurally and functionally.
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Bhandari R, Phatangare RV, Eckert MA, Vaden KI, Wang JZ. Dyslexia Data Consortium Repository: A Data Sharing and Delivery Platform for Research. BRAIN INFORMATICS : 16TH INTERNATIONAL CONFERENCE, BI 2023, HOBOKEN, NJ, USA, AUGUST 1-3, 2023, PROCEEDINGS. INTERNATIONAL CONFERENCE ON BRAIN INFORMATICS (16TH : 2023 : HOBOKEN, N.J.) 2023; 13974:167-178. [PMID: 38352916 PMCID: PMC10859776 DOI: 10.1007/978-3-031-43075-6_15] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/16/2024]
Abstract
Specific learning disability of reading, or dyslexia, affects 5-17% of the population in the United States. Research on the neurobiology of dyslexia has included studies with relatively small sample sizes across research sites, thus limiting inference and the application of novel methods, such as deep learning. To address these issues and facilitate open science, we developed an online platform for data-sharing and advanced research programs to enhance opportunities for replication by providing researchers with secondary data that can be used in their research (https://www.dyslexiadata.org). This platform integrates a set of well-designed machine learning algorithms and tools to generate secondary datasets, such as cortical thickness, as well as regional brain volume metrics that have been consistently associated with dyslexia. Researchers can access shared data to address fundamental questions about dyslexia and development, replicate research findings, apply new methods, and educate the next generation of researchers. The overarching goal of this platform is to advance our understanding of a disorder that has significant academic, social, and economic impacts on children, their families, and society.
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Affiliation(s)
| | | | - Mark A Eckert
- Department of Otolaryngology - Head and Neck Surgery, Medical University of South Carolina, Charleston, SC, USA
| | - Kenneth I Vaden
- Department of Otolaryngology - Head and Neck Surgery, Medical University of South Carolina, Charleston, SC, USA
| | - James Z Wang
- School of Computing, Clemson University, Clemson, SC, USA
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Turesky TK, Luetje MM, Eden GF. An fMRI study of finger movements in children with and without dyslexia. Front Neurosci 2023; 17:1135437. [PMID: 37274202 PMCID: PMC10233035 DOI: 10.3389/fnins.2023.1135437] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2022] [Accepted: 04/24/2023] [Indexed: 06/06/2023] Open
Abstract
Introduction Developmental dyslexia is a language-based reading disability, yet some have reported motor impairments, usually attributed to cerebellar dysfunction. Methods Using fMRI, we compared children with and without dyslexia during irregularly paced, left or right-hand finger tapping. Next, we examined seed-to-voxel intrinsic functional connectivity (iFC) using six seed regions of the motor system (left and right anterior lobe of the cerebellum, SM1 and SMA). Results A whole-brain task-evoked analysis revealed relatively less activation in the group with dyslexia in right anterior cerebellum during right hand tapping. For iFC, we found the group with dyslexia to have greater iFC between the right SM1 seed and a medial aspect of right postcentral gyrus for left hand tapping; and greater iFC between the left SM1 seed and left thalamus, as well as weaker local iFC around the left SM1 seed region for right hand tapping. Lastly, extracted activity and connectivity values that had been identified in these between-group comparisons were not correlated with measures of reading. Discussion We conclude that there are some aberrations in motor system function in children with dyslexia, but these are not tied to reading ability.
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Affiliation(s)
| | | | - Guinevere F. Eden
- Center for the Study of Learning, Georgetown University Medical Center, Washington, DC, United States
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Joshi F, Wang JZ, Vaden KI, Eckert MA. Deep Learning Classification of Reading Disability with Regional Brain Volume Features. Neuroimage 2023; 273:120075. [PMID: 37054828 PMCID: PMC10167676 DOI: 10.1016/j.neuroimage.2023.120075] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2022] [Revised: 12/02/2022] [Accepted: 03/30/2023] [Indexed: 04/15/2023] Open
Abstract
Developmental reading disability is a prevalent and often enduring problem with varied mechanisms that contributes to its phenotypic heterogeneity. This mechanistic and phenotypic variation, as well as relatively modest sample sizes, may have limited the development of accurate neuroimaging-based classifiers for reading disability, including because of the large feature space of neuroimaging datasets. An unsupervised learning model was used to reduce deformation-based data to a lower-dimensional manifold and then supervised learning models were used to classify these latent representations in a dataset of 96 reading disability cases and 96 controls (mean age: 9.86 ± 1.56). A combined unsupervised autoencoder and supervised convolutional neural network approach provided an effective classification of cases and controls (accuracy: 77%; precision: 0.75; recall: 0.78). Brain regions that contributed to this classification accuracy were identified by adding noise to the voxel-level image data, which showed that reading disability classification accuracy was most influenced by the superior temporal sulcus, dorsal cingulate, and lateral occipital cortex. Regions that were most important for the accurate classification of controls included the supramarginal gyrus, orbitofrontal, and medial occipital cortex. The contribution of these regions reflected individual differences in reading-related abilities, such as non-word decoding or verbal comprehension. Together, the results demonstrate an optimal deep learning solution for classification using neuroimaging data. In contrast with standard mass-univariate test results, results from the deep learning model also provided evidence for regions that may be specifically affected in reading disability cases.
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Affiliation(s)
- Foram Joshi
- School of Computing, Clemson University, Clemson, S.C. U.S.A
| | - James Z Wang
- School of Computing, Clemson University, Clemson, S.C. U.S.A
| | - Kenneth I Vaden
- Department of Otolaryngology - Head and Neck Surgery Medical University of South Carolina, Charleston, S.C. U.S.A
| | - Mark A Eckert
- Department of Otolaryngology - Head and Neck Surgery Medical University of South Carolina, Charleston, S.C. U.S.A..
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Eckert MA. Structural Covariance of the Duplicated Heschl's Gyrus: A Sulcal/Gyral Template Morphology Approach. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.03.29.534799. [PMID: 37034820 PMCID: PMC10081200 DOI: 10.1101/2023.03.29.534799] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/19/2023]
Abstract
UNLABELLED Heschl's gyrus (HG) can occur as a single gyrus or with a completely duplicated posterior HG that has been related to a variety of abilities and disorders. Voxel-based studies typically involve the normalization of these qualitatively different HG types, thus making it difficult to evaluate the contribution of sulcal/gyral variability to voxel-based effects and perhaps obscuring some effects. To examine the structural covariance of single and duplicated HG, templates were created for the left single and duplicated HG. Structural covariance analysis with a Jacobian measure of volumetric displacement demonstrated consistent spatial covariance with homologous structure in the right hemisphere across qualitatively different HG morphology. These results suggest that HG duplication is aptly named with respect to cortical structure variation and demonstrate a multi-template approach for studying qualitatively unique brain function and structure linked to perceptual and cognitive functions. HIGHLIGHTS Qualitatively unique sulcal/gyral features can affect voxel-based analyses.Heschl's gyrus is highly variable across people.Morphology-specific templates were created to study Heschl's gyrus structural covariance.Single and duplicated Heschl's gyrus exhibited a similar pattern of covariance.
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Nemmi F, Cignetti F, Vaugoyeau M, Assaiante C, Chaix Y, Péran P. Developmental dyslexia, developmental coordination disorder and comorbidity discrimination using multimodal structural and functional neuroimaging. Cortex 2023; 160:43-54. [PMID: 36680923 DOI: 10.1016/j.cortex.2022.10.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2021] [Revised: 06/15/2022] [Accepted: 10/31/2022] [Indexed: 12/23/2022]
Abstract
Developmental dyslexia (DD) and developmental coordination disorder (DCD) are two common neurodevelopmental disorders with a high co-occurrence rate. This led several authors to postulate that the two disorders share, at least partially, similar neural underpinning. However, even though several studies examined brain differences between typically developing (TD) children and children with either DD or DCD, no previous study directly compared DD, DCD and children with both disorders (COM) using neuroimaging. We acquired structural and resting-state functional MRI images of 136 children (TD = 42, DD = 45, DCD = 20, COM = 29). Difference between TD children and the other groups was assessed using univariate analysis of structural indexes including grey and white matter volumes and functional indexes quantifying activity (fraction of the amplitude of the low frequency fluctuations), local and global connectivity. Regional differences in structural and functional brain indexes were then used to train machine learning models to discriminate among DD, DCD and COM and to find the most discriminant regions. While no imaging index alone discriminated between the three groups, grouping grey and white matter volumes (structural model) or activity, local and global connectivity (functional model) made possible to discriminate among the DD, DCD and COM groups. The most important discrimination was obtained using the functional model, with regions in the cerebellum and the temporal lobe being the most discriminant for DCD and DD children, respectively. Results further showed that children with both DD and DCD have subtle but identifiable brain differences that can only be captured using several imaging indexes pertaining to both brain structure and function.
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Affiliation(s)
- Federico Nemmi
- Toulouse NeuroImaging Center (ToNIC - UMR1214), Inserm/Université Paul Sabatier, Toulouse, France.
| | - Fabien Cignetti
- Univ. Grenoble Alpes, CNRS, UMR 5525, VetAgro Sup, Grenoble INP, TIMC, Grenoble, France
| | - Marianne Vaugoyeau
- Laboratoire de Neurosciences Cogntives (LNC - UMR7291, CNRS/Aix Marseille Université), Marseille, France
| | - Christine Assaiante
- Laboratoire de Neurosciences Cogntives (LNC - UMR7291, CNRS/Aix Marseille Université), Marseille, France
| | - Yves Chaix
- Toulouse NeuroImaging Center (ToNIC - UMR1214), Inserm/Université Paul Sabatier, Toulouse, France; Pediatric Neurology Unit, Toulouse University Hospital, Toulouse, France
| | - Patrice Péran
- Toulouse NeuroImaging Center (ToNIC - UMR1214), Inserm/Université Paul Sabatier, Toulouse, France
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12
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Lachmann T, Bergström K. The multiple-level framework of developmental dyslexia: the long trace from a neurodevelopmental deficit to an impaired cultural technique. JOURNAL OF CULTURAL COGNITIVE SCIENCE 2023. [DOI: 10.1007/s41809-023-00118-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/19/2023]
Abstract
AbstractDevelopmental dyslexia is a neurodevelopmental disorder characterized by an unexpected impairment in literacy acquisition leading to specific poor academic achievement and possible secondary symptoms. The multi-level framework of developmental dyslexia considers five levels of a causal pathway on which a given genotype is expressed and hierarchically transmitted from one level to the next under the increasing influence of individual learning-relevant traits and environmental factors moderated by cultural conditions. These levels are the neurobiological, the information processing and the skill level (prerequisites and acquisition of literacy skills), the academic achievement level and the level of secondary effects. Various risk factors are present at each level within the assumed causal pathway and can increase the likelihood of exhibiting developmental dyslexia. Transition from one level to the next is neither unidirectional nor inevitable. This fact has direct implications for prevention and intervention which can mitigate transitions from one level to the next. In this paper, various evidence-based theories and findings regarding deficits at different levels are placed in the proposed framework. In addition, the moderating effect of cultural impact at and between information processing and skill levels are further elaborated based on a review of findings regarding influences of different writing systems and orthographies. These differences impose culture-specific demands for literacy-specific cognitive procedures, influencing both literacy acquisition and the manifestation of developmental dyslexia.
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Lee MM, Drury BC, McGrath LM, Stoodley CJ. Shared grey matter correlates of reading and attention. BRAIN AND LANGUAGE 2023; 237:105230. [PMID: 36731345 PMCID: PMC10153583 DOI: 10.1016/j.bandl.2023.105230] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/02/2022] [Revised: 01/13/2023] [Accepted: 01/17/2023] [Indexed: 05/04/2023]
Abstract
Disorders of reading (developmental dyslexia) and attention (ADHD) have a high rate of comorbidity (25-40%), yet little is known about the neural underpinnings of this phenomenon. The current study investigated the shared and unique neural correlates of reading and attention in 330 typically developing children ages 8-18 from the Philadelphia Neurodevelopmental Cohort. Multiple regression analyses were used to identify regions of the brain where grey matter (GM) volume was associated with reading or attention scores (p < 0.001, cluster FDR p < 0.05). Better attention scores correlated with increased GM in the precuneus and higher reading scores were associated with greater thalamic GM. An exploratory conjunction analysis (p < 0.05, k > 239) found that GM in the caudate and precuneus correlated with both reading and attention scores. These results are consistent with a recent meta-analysis which identified GM reductions in the caudate in both dyslexia and ADHD and reveal potential shared neural correlates of reading and attention.
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Affiliation(s)
- Marissa M Lee
- Department of Psychology, American University, United States; Department of Neuroscience, American University, United States
| | - Brianne C Drury
- Undergraduate Program in Neuroscience, American University, United States
| | | | - Catherine J Stoodley
- Department of Psychology, American University, United States; Department of Neuroscience, American University, United States.
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Schug AK, Brignoni‐Pérez E, Jamal NI, Eden GF. Gray matter volume differences between early bilinguals and monolinguals: A study of children and adults. Hum Brain Mapp 2022; 43:4817-4834. [PMID: 35848371 PMCID: PMC9582359 DOI: 10.1002/hbm.26008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2022] [Revised: 06/09/2022] [Accepted: 06/27/2022] [Indexed: 11/21/2022] Open
Abstract
Gray matter has been shown to be greater in early bilingual adults relative to monolingual adults in regions associated with language (Mechelli et al., 2004), and executive control (EC; Olulade et al., 2016). It is not known, however, if language experience-dependent differences in gray matter volume (GMV) exist in children. Further, any such differences are likely not to be the same as those observed in early bilingual adults, as children have had relatively shorter duration of dual-language exposure and/or less development of brain regions serving EC. We tested these predictions by comparing GMV in Spanish-English early bilingual and English monolingual children, and Spanish-English early bilingual and English monolingual adults (n = 122). Comparing only children revealed relatively more GMV in the bilinguals in bilateral frontal, right inferior frontal, and right superior parietal cortices (regions associated with EC). Bilinguals, however, had less GMV in left inferior parietal cortex (region associated with language). An ANOVA including these children with bilingual and monolingual adults revealed interactions of Language Background by Age Group. There were no regions of more GMV in bilinguals relative to monolinguals that were less pronounced in children than adults, despite the children's shorter dual-language experience. There were relative differences between bilingual and monolingual children that were more pronounced than those in adults in left precentral gyrus and right superior parietal lobule (close to, but not directly in areas associated with EC). Together, early bilingual children manifest relative differences in GMV, and, surprisingly, these do not diverge much from those observed in studies of bilingual adults.
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Affiliation(s)
- Alison K. Schug
- Center for the Study of Learning, Department of PediatricsGeorgetown University Medical CenterWashingtonDistrict of ColumbiaUSA
- Interdisciplinary Program in NeuroscienceGeorgetown UniversityWashingtonDistrict of ColumbiaUSA
| | - Edith Brignoni‐Pérez
- Center for the Study of Learning, Department of PediatricsGeorgetown University Medical CenterWashingtonDistrict of ColumbiaUSA
- Interdisciplinary Program in NeuroscienceGeorgetown UniversityWashingtonDistrict of ColumbiaUSA
| | - Nasheed I. Jamal
- Center for the Study of Learning, Department of PediatricsGeorgetown University Medical CenterWashingtonDistrict of ColumbiaUSA
| | - Guinevere F. Eden
- Center for the Study of Learning, Department of PediatricsGeorgetown University Medical CenterWashingtonDistrict of ColumbiaUSA
- Interdisciplinary Program in NeuroscienceGeorgetown UniversityWashingtonDistrict of ColumbiaUSA
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Liloia D, Crocetta A, Cauda F, Duca S, Costa T, Manuello J. Seeking Overlapping Neuroanatomical Alterations between Dyslexia and Attention-Deficit/Hyperactivity Disorder: A Meta-Analytic Replication Study. Brain Sci 2022; 12:brainsci12101367. [PMID: 36291301 PMCID: PMC9599506 DOI: 10.3390/brainsci12101367] [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: 08/30/2022] [Revised: 09/23/2022] [Accepted: 09/29/2022] [Indexed: 01/18/2023] Open
Abstract
The present work is a replication article based on the paper “Are there shared neural correlates between dyslexia and ADHD? A meta-analysis of voxel-based morphometry studies” by McGrath and Stoodley (2019). In the original research, the authors used activation likelihood estimation (ALE), a technique to perform coordinate-based meta-analysis (CBMA), to investigate the existence of brain regions undergoing gray matter alteration in association with both attention-deficit/hyper-activity disorder (ADHD) and dyslexia. Here, the same voxel-based morphometry dataset was analyzed, while using the permutation-subject images version of signed differential mapping (PSI-SDM) in place of ALE. Overall, the replication converged with the original paper in showing a limited overlap between the two conditions. In particular, no significant effect was found for dyslexia, therefore precluding any form of comparison between the two disorders. The possible influences of biological sex, age, and medication status were also ruled out. Our findings are in line with literature about gray matter alteration associated with ADHD and dyslexia, often showing conflicting results. Therefore, although neuropsychological and clinical evidence suggest some convergence between ADHD and dyslexia, more future research is sorely needed to reach a consensus on the neuroimaging domain in terms of patterns of gray matter alteration.
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Affiliation(s)
- Donato Liloia
- GCS fMRI Koelliker Group, Koelliker Hospital and University of Turin, 10124 Turin, Italy
- FOCUS Laboratory, Department of Psychology, University of Turin, 10124 Turin, Italy
| | - Annachiara Crocetta
- FOCUS Laboratory, Department of Psychology, University of Turin, 10124 Turin, Italy
| | - Franco Cauda
- GCS fMRI Koelliker Group, Koelliker Hospital and University of Turin, 10124 Turin, Italy
- FOCUS Laboratory, Department of Psychology, University of Turin, 10124 Turin, Italy
- Neuroscience Institute of Turin, 10043 Turin, Italy
- Correspondence: ; Tel.: +39-011-670-29-80; Fax: +39-011-814-62-31
| | - Sergio Duca
- GCS fMRI Koelliker Group, Koelliker Hospital and University of Turin, 10124 Turin, Italy
- FOCUS Laboratory, Department of Psychology, University of Turin, 10124 Turin, Italy
| | - Tommaso Costa
- GCS fMRI Koelliker Group, Koelliker Hospital and University of Turin, 10124 Turin, Italy
- FOCUS Laboratory, Department of Psychology, University of Turin, 10124 Turin, Italy
| | - Jordi Manuello
- GCS fMRI Koelliker Group, Koelliker Hospital and University of Turin, 10124 Turin, Italy
- FOCUS Laboratory, Department of Psychology, University of Turin, 10124 Turin, Italy
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Beyer M, Liebig J, Sylvester T, Braun M, Heekeren HR, Froehlich E, Jacobs AM, Ziegler JC. Structural gray matter features and behavioral preliterate skills predict future literacy – A machine learning approach. Front Neurosci 2022; 16:920150. [PMID: 36248649 PMCID: PMC9558903 DOI: 10.3389/fnins.2022.920150] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2022] [Accepted: 08/18/2022] [Indexed: 11/13/2022] Open
Abstract
When children learn to read, their neural system undergoes major changes to become responsive to print. There seem to be nuanced interindividual differences in the neurostructural anatomy of regions that later become integral parts of the reading network. These differences might affect literacy acquisition and, in some cases, might result in developmental disorders like dyslexia. Consequently, the main objective of this longitudinal study was to investigate those interindividual differences in gray matter morphology that might facilitate or hamper future reading acquisition. We used a machine learning approach to examine to what extent gray matter macrostructural features and cognitive-linguistic skills measured before formal literacy teaching could predict literacy 2 years later. Forty-two native German-speaking children underwent T1-weighted magnetic resonance imaging and psychometric testing at the end of kindergarten. They were tested again 2 years later to assess their literacy skills. A leave-one-out cross-validated machine-learning regression approach was applied to identify the best predictors of future literacy based on cognitive-linguistic preliterate behavioral skills and cortical measures in a priori selected areas of the future reading network. With surprisingly high accuracy, future literacy was predicted, predominantly based on gray matter volume in the left occipito-temporal cortex and local gyrification in the left insular, inferior frontal, and supramarginal gyri. Furthermore, phonological awareness significantly predicted future literacy. In sum, the results indicate that the brain morphology of the large-scale reading network at a preliterate age can predict how well children learn to read.
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Affiliation(s)
- Moana Beyer
- Department of Education and Psychology, Freie Universität Berlin, Berlin, Germany
| | - Johanna Liebig
- Department of Education and Psychology, Freie Universität Berlin, Berlin, Germany
- Center for Cognitive Neuroscience Berlin, Freie Universität Berlin, Berlin, Germany
- *Correspondence: Johanna Liebig,
| | - Teresa Sylvester
- Department of Education and Psychology, Freie Universität Berlin, Berlin, Germany
- Center for Cognitive Neuroscience Berlin, Freie Universität Berlin, Berlin, Germany
| | - Mario Braun
- Centre for Cognitive Neuroscience, Universität Salzburg, Salzburg, Austria
| | - Hauke R. Heekeren
- Center for Cognitive Neuroscience Berlin, Freie Universität Berlin, Berlin, Germany
- Department of Biological Psychology and Cognitive Neuroscience, Freie Universität Berlin, Berlin, Germany
| | - Eva Froehlich
- Department of Decision Neuroscience and Nutrition, German Institute of Human Nutrition Potsdam-Rehbrücke, Nuthetal, Germany
| | - Arthur M. Jacobs
- Department of Education and Psychology, Freie Universität Berlin, Berlin, Germany
- Center for Cognitive Neuroscience Berlin, Freie Universität Berlin, Berlin, Germany
| | - Johannes C. Ziegler
- Laboratoire de Psychologie Cognitive, Aix-Marseille Université and Centre National de la Recherche Scientifique, Marseille, France
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Eising E, Mirza-Schreiber N, de Zeeuw EL, Wang CA, Truong DT, Allegrini AG, Shapland CY, Zhu G, Wigg KG, Gerritse ML, Molz B, Alagöz G, Gialluisi A, Abbondanza F, Rimfeld K, van Donkelaar M, Liao Z, Jansen PR, Andlauer TFM, Bates TC, Bernard M, Blokland K, Bonte M, Børglum AD, Bourgeron T, Brandeis D, Ceroni F, Csépe V, Dale PS, de Jong PF, DeFries JC, Démonet JF, Demontis D, Feng Y, Gordon SD, Guger SL, Hayiou-Thomas ME, Hernández-Cabrera JA, Hottenga JJ, Hulme C, Kere J, Kerr EN, Koomar T, Landerl K, Leonard GT, Lovett MW, Lyytinen H, Martin NG, Martinelli A, Maurer U, Michaelson JJ, Moll K, Monaco AP, Morgan AT, Nöthen MM, Pausova Z, Pennell CE, Pennington BF, Price KM, Rajagopal VM, Ramus F, Richer L, Simpson NH, Smith SD, Snowling MJ, Stein J, Strug LJ, Talcott JB, Tiemeier H, van der Schroeff MP, Verhoef E, Watkins KE, Wilkinson M, Wright MJ, Barr CL, Boomsma DI, Carreiras M, Franken MCJ, Gruen JR, Luciano M, Müller-Myhsok B, Newbury DF, Olson RK, Paracchini S, Paus T, Plomin R, Reilly S, Schulte-Körne G, Tomblin JB, van Bergen E, Whitehouse AJO, Willcutt EG, St Pourcain B, Francks C, Fisher SE. Genome-wide analyses of individual differences in quantitatively assessed reading- and language-related skills in up to 34,000 people. Proc Natl Acad Sci U S A 2022; 119:e2202764119. [PMID: 35998220 PMCID: PMC9436320 DOI: 10.1073/pnas.2202764119] [Citation(s) in RCA: 32] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2022] [Accepted: 05/31/2022] [Indexed: 12/14/2022] Open
Abstract
The use of spoken and written language is a fundamental human capacity. Individual differences in reading- and language-related skills are influenced by genetic variation, with twin-based heritability estimates of 30 to 80% depending on the trait. The genetic architecture is complex, heterogeneous, and multifactorial, but investigations of contributions of single-nucleotide polymorphisms (SNPs) were thus far underpowered. We present a multicohort genome-wide association study (GWAS) of five traits assessed individually using psychometric measures (word reading, nonword reading, spelling, phoneme awareness, and nonword repetition) in samples of 13,633 to 33,959 participants aged 5 to 26 y. We identified genome-wide significant association with word reading (rs11208009, P = 1.098 × 10-8) at a locus that has not been associated with intelligence or educational attainment. All five reading-/language-related traits showed robust SNP heritability, accounting for 13 to 26% of trait variability. Genomic structural equation modeling revealed a shared genetic factor explaining most of the variation in word/nonword reading, spelling, and phoneme awareness, which only partially overlapped with genetic variation contributing to nonword repetition, intelligence, and educational attainment. A multivariate GWAS of word/nonword reading, spelling, and phoneme awareness maximized power for follow-up investigation. Genetic correlation analysis with neuroimaging traits identified an association with the surface area of the banks of the left superior temporal sulcus, a brain region linked to the processing of spoken and written language. Heritability was enriched for genomic elements regulating gene expression in the fetal brain and in chromosomal regions that are depleted of Neanderthal variants. Together, these results provide avenues for deciphering the biological underpinnings of uniquely human traits.
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Affiliation(s)
- Else Eising
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, 6525 XD Nijmegen, the Netherlands
| | | | - Eveline L. de Zeeuw
- Department of Biological Psychology, Vrije Universiteit Amsterdam, 1081 BT Amsterdam, the Netherlands
| | - Carol A. Wang
- School of Medicine and Public Health, The University of Newcastle, Newcastle, NSW 2308, Australia
- Mothers and Babies Research Program, Hunter Medical Research Institute, Newcastle, NSW 2305, Australia
| | - Dongnhu T. Truong
- Department of Pediatrics and Genetics, Yale Medical School, New Haven, CT 06510
| | - Andrea G. Allegrini
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London SE5 8AF, United Kingdom
| | - Chin Yang Shapland
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol BS8 2BN, United Kingdom
- Population Health Sciences, University of Bristol, Bristol BS8 2PS, United Kingdom
| | - Gu Zhu
- Genetic Epidemiology Laboratory, QIMR Berghofer Medical Research Institute, Brisbane, QLD 4006, Australia
| | - Karen G. Wigg
- Division of Experimental and Translational Neuroscience, Krembil Research Institute, University Health Network, Toronto, ON M5T 0S8, Canada
| | - Margot L. Gerritse
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, 6525 XD Nijmegen, the Netherlands
| | - Barbara Molz
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, 6525 XD Nijmegen, the Netherlands
| | - Gökberk Alagöz
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, 6525 XD Nijmegen, the Netherlands
| | - Alessandro Gialluisi
- Translational Research in Psychiatry, Max Planck Institute of Psychiatry, 80804 Munich, Germany
- Department of Epidemiology and Prevention, IRCCS Istituto Neurologico Mediterraneo Neuromed, 86077 Pozzilli, Italy
- Department of Medicine and Surgery, University of Insubria, 21100 Varese, Italy
| | - Filippo Abbondanza
- School of Medicine, University of St Andrews, KY16 9TF, St. Andrews, Scotland
| | - Kaili Rimfeld
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London SE5 8AF, United Kingdom
- Department of Psychology, Royal Holloway, University of London, Egham TW20 0EY, United Kingdom
| | - Marjolein van Donkelaar
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, 6525 XD Nijmegen, the Netherlands
| | - Zhijie Liao
- Department of Psychology, University of Toronto, Toronto, ON M5S 3G3,Canada
| | - Philip R. Jansen
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus University Medical Center, 3000 CB Rotterdam, the Netherlands
- Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam, 1081 HV the Netherlands
- Department of Human Genetics, VU Medical Center, Amsterdam University Medical Center, 1081 BT Amsterdam, the Netherlands
| | - Till F. M. Andlauer
- Translational Research in Psychiatry, Max Planck Institute of Psychiatry, 80804 Munich, Germany
- Department of Neurology, Klinikum rechts der Isar, School of Medicine, Technical University of Munich, 81675 Munich, Germany
| | - Timothy C. Bates
- Department of Psychology, University of Edinburgh, Edinburgh EH8 9JZ, United Kingdom
| | - Manon Bernard
- Department of Physiology and Nutritional Sciences, University of Toronto, Toronto, ON M5S 1A1, Canada
| | - Kirsten Blokland
- Program in Neuroscience and Mental Health, Hospital for Sick Children, Toronto, M5G 1X8 ON, Canada
| | - Milene Bonte
- Department of Cognitive Neuroscience and Maastricht Brain Imaging Center, Faculty of Psychology and Neuroscience, Maastricht University, 6229 ER Maastricht, the Netherlands
| | - Anders D. Børglum
- Department of Biomedicine, Aarhus University, 8000 Aarhus, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, 8210 Aarhus, Denmark
- Center for Genomics and Personalized Medicine (CGPM), 8000 Aarhus, Denmark
| | - Thomas Bourgeron
- Human Genetics and Cognitive Functions, Institut Pasteur, UMR3571 Centre national de la recherche scientifique (CNRS), Université Paris Cité, Paris, 75015, France
| | - Daniel Brandeis
- Department of Child and Adolescent Psychiatry and Psychotherapy, Psychiatric Hospital, University of Zurich, 8032 Zurich, Switzerland
- Zurich Center for Integrative Human Physiology, University of Zurich and ETH Zurich, 8057 Zurich, Switzerland
- Neuroscience Center Zurich, University of Zurich and ETH Zurich, 8057 Zurich, Switzerland
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, 68159 Mannheim, Germany
| | - Fabiola Ceroni
- Department of Pharmacy and Biotechnology, University of Bologna, 40126 Bologna, Italy
- Faculty of Health and Life Sciences, Oxford Brookes University, Oxford OX3 0BP, United Kingdom
| | - Valéria Csépe
- Brain Imaging Centre, Research Centre for Natural Sciences, Budapest, 1117 Hungary
- Multilingualism Doctoral School, Faculty of Modern Philology and Social Sciences, University of Pannonia, Veszprém, 8200 Hungary
| | - Philip S. Dale
- Department of Speech & Hearing Sciences, University of New Mexico, Albuquerque, NM 87131
| | - Peter F. de Jong
- Department of Child Development and Education, University of Amsterdam, 1012 WX Amsterdam, the Netherlands
| | - John C. DeFries
- Institute for Behavioral Genetics, University of Colorado, Boulder, CO 80309-0447
- Department of Psychology and Neuroscience, University of Colorado, Boulder, CO 80309-0447
| | - Jean-François Démonet
- Leenaards Memory Centre, Department of Clinical Neurosciences, Lausanne University Hospital (CHUV), University of Lausanne, CH-1011 Lausanne, Switzerland
| | - Ditte Demontis
- Department of Biomedicine, Aarhus University, 8000 Aarhus, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, 8210 Aarhus, Denmark
| | - Yu Feng
- Division of Experimental and Translational Neuroscience, Krembil Research Institute, University Health Network, Toronto, ON M5T 0S8, Canada
| | - Scott D. Gordon
- Genetic Epidemiology Laboratory, QIMR Berghofer Medical Research Institute, Brisbane, QLD 4006, Australia
| | - Sharon L. Guger
- Department of Psychology, Hospital for Sick Children, Toronto, ON M5G 1X8, Canada
| | | | - Juan A. Hernández-Cabrera
- Departamento de Psicología, Clínica Psicobiología y Metodología, 38200, La Laguna, Santa Cruz de Tenerife, Spain
| | - Jouke-Jan Hottenga
- Department of Biological Psychology, Vrije Universiteit Amsterdam, 1081 BT Amsterdam, the Netherlands
| | - Charles Hulme
- Department of Education, University of Oxford, Oxford, Oxfordshire OX2 6PY, United Kingdom
| | - Juha Kere
- Department of Biosciences and Nutrition, Karolinska Institutet, 171 77 Stockholm, Sweden
- Stem Cells and Metabolism Research Program, University of Helsinki and Folkhälsan Research Center, 00014 Helsinki, Finland
| | - Elizabeth N. Kerr
- Department of Psychology, Hospital for Sick Children, Toronto, ON M5G 1X8, Canada
- Department of Neurology, Hospital for Sick Children, Toronto, ON M5G 1X8, Canada
- Department of Paediatrics, University of Toronto, Toronto, ON M5G 1X8, Canada
| | - Tanner Koomar
- Department of Psychiatry, University of Iowa, Iowa City, IA 52242
| | - Karin Landerl
- Institute of Psychology, University of Graz, 8010 Graz, Austria
- BioTechMed-Graz, 8010 Graz, Austria
| | - Gabriel T. Leonard
- Cognitive Neuroscience Neurology and Neurosurgery, McGill University, Montreal, QC H3A 1G1, Canada
| | - Maureen W. Lovett
- Program in Neuroscience and Mental Health, Hospital for Sick Children, Toronto, M5G 1X8 ON, Canada
- Department of Paediatrics, University of Toronto, Toronto, ON M5G 1X8, Canada
| | - Heikki Lyytinen
- Department of Psychology, University of Jyväskylä, 40014 Jyväskylä, Finland
| | - Nicholas G. Martin
- Genetic Epidemiology Laboratory, QIMR Berghofer Medical Research Institute, Brisbane, QLD 4006, Australia
| | - Angela Martinelli
- School of Medicine, University of St Andrews, KY16 9TF, St. Andrews, Scotland
| | - Urs Maurer
- Department of Psychology, The Chinese University of Hong Kong, Hong Kong, China
| | | | - Kristina Moll
- Department of Child and Adolescent Psychiatry, Psychosomatics, and Psychotherapy, Ludwig-Maximilians-University Hospital Munich, Munich, 80336 Germany
| | | | - Angela T. Morgan
- Speech and Language, Murdoch Children's Research Institute, Melbourne, VIC 3052, Australia
- Department of Audiology and Speech Pathology, University of Melbourne, Melbourne, VIC 3052, Australia
- Speech Pathology Department, Royal Children's Hospital, Melbourne, VIC 3052, Australia
| | - Markus M. Nöthen
- Institute of Human Genetics, University Hospital of Bonn, 53127 Bonn, Germany
| | - Zdenka Pausova
- Department of Physiology and Nutritional Sciences, University of Toronto, Toronto, ON M5S 1A1, Canada
- Hospital for Sick Children, Toronto, ON M5G 1X8, Canada
| | - Craig E. Pennell
- School of Medicine and Public Health, The University of Newcastle, Newcastle, NSW 2308, Australia
- Mothers and Babies Research Program, Hunter Medical Research Institute, Newcastle, NSW 2305, Australia
- Maternity and Gynaecology, John Hunter Hospital, Newcastle, NSW 2305, Australia
| | | | - Kaitlyn M. Price
- Division of Experimental and Translational Neuroscience, Krembil Research Institute, University Health Network, Toronto, ON M5T 0S8, Canada
- Program in Neuroscience and Mental Health, Hospital for Sick Children, Toronto, M5G 1X8 ON, Canada
- Department of Physiology, University of Toronto, Toronto, ON M5S 1A8, Canada
| | - Veera M. Rajagopal
- Department of Biomedicine, Aarhus University, 8000 Aarhus, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, 8210 Aarhus, Denmark
| | - Franck Ramus
- Laboratoire de Sciences Cognitives et Psycholinguistique, Ecole Normale Supérieure, Paris Sciences & Lettres University, École des Hautes Études en Sciences Sociales (EHESS), Centre National de la Recherche Scientifique (CNRS), Paris, 75005 France
| | - Louis Richer
- Department of Health Sciences, Université du Québec à Chicoutimi, Chicoutimi, QC G7H 2B1, Canada
| | - Nuala H. Simpson
- Department of Experimental Psychology, University of Oxford, Oxford OX2 6GG, United Kingdom
| | - Shelley D. Smith
- Department of Neurological Sciences, College of Medicine, University of Nebraska Medical Center, Omaha, NE 68198
| | - Margaret J. Snowling
- Department of Experimental Psychology, University of Oxford, Oxford OX2 6GG, United Kingdom
- St. John’s College, University of Oxford, Oxford OX1 3JP, United Kingdom
| | - John Stein
- Department of Physiology, Anatomy and Genetics, Oxford University, Oxford OX1 3PT, United Kingdom
| | - Lisa J. Strug
- Department of Statistical Sciences and Computer Science and Division of Biostatistics, University of Toronto, Toronto, ON M5S 3G3, Canada
- Program in Genetics and Genome Biology and the Centre for Applied Genomics, Hospital for Sick Children, Toronto, ON M5G 1X8, Canada
| | - Joel B. Talcott
- Institute for Health and Neurodevelopment, Aston University, Birmingham B4 7ET, United Kingdom
| | - Henning Tiemeier
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus University Medical Center, 3000 CB Rotterdam, the Netherlands
- T. H. Chan School of Public Health, Harvard, Boston, MA 02115
| | - Marc P. van der Schroeff
- Department of Otolaryngology, Head and Neck Surgery, Erasmus University Medical Center, 3015 GD Rotterdam, the Netherlands
- Generation R Study Group, Erasmus University Medical Center, 3015 GD Rotterdam, the Netherlands
| | - Ellen Verhoef
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, 6525 XD Nijmegen, the Netherlands
| | - Kate E. Watkins
- Department of Experimental Psychology, University of Oxford, Oxford OX2 6GG, United Kingdom
| | - Margaret Wilkinson
- Program in Neuroscience and Mental Health, Hospital for Sick Children, Toronto, M5G 1X8 ON, Canada
| | - Margaret J. Wright
- Queensland Brain Institute, University of Queensland, Brisbane, QLD 4072, Australia
| | - Cathy L. Barr
- Division of Experimental and Translational Neuroscience, Krembil Research Institute, University Health Network, Toronto, ON M5T 0S8, Canada
- Program in Neuroscience and Mental Health, Hospital for Sick Children, Toronto, M5G 1X8 ON, Canada
- Department of Physiology, University of Toronto, Toronto, ON M5S 1A8, Canada
| | - Dorret I. Boomsma
- Department of Biological Psychology, Vrije Universiteit Amsterdam, 1081 BT Amsterdam, the Netherlands
- Netherlands Twin Register, 1081 BT Amsterdam, the Netherlands
- Amsterdam Reproduction and Development Research Institute, Amsterdam University Medical Center, 1105 AZ Amsterdam, the Netherlands
| | - Manuel Carreiras
- Basque Center on Cognition, Brain and Language, Donostia-San Sebastian, 20009 Gipuzkoa, Spain
- Ikerbasque, Basque Foundation for Science, 48009 Bilbao, Vizcaya, Spain
- Lengua Vasca y Comunicación, University of the Basque Country, 48940 Bilbao, Vizcaya, Spain
| | - Marie-Christine J. Franken
- Department of Otolaryngology, Head and Neck Surgery, Erasmus University Medical Center, 3015 GD Rotterdam, the Netherlands
| | - Jeffrey R. Gruen
- Department of Pediatrics and Genetics, Yale Medical School, New Haven, CT 06510
| | - Michelle Luciano
- Department of Psychology, University of Edinburgh, Edinburgh EH8 9JZ, United Kingdom
| | - Bertram Müller-Myhsok
- Translational Research in Psychiatry, Max Planck Institute of Psychiatry, 80804 Munich, Germany
- Department of Health Science, University of Liverpool, Liverpool L69 7ZX, United Kingdom
| | - Dianne F. Newbury
- Faculty of Health and Life Sciences, Oxford Brookes University, Oxford OX3 0BP, United Kingdom
| | - Richard K. Olson
- Institute for Behavioral Genetics, University of Colorado, Boulder, CO 80309-0447
| | - Silvia Paracchini
- School of Medicine, University of St Andrews, KY16 9TF, St. Andrews, Scotland
| | - Tomáš Paus
- Department of Psychiatry and Neuroscience and Centre Hospitalier Universitaire Sainte Justine, University of Montreal, Montreal, QC H3T 1J4, Canada
| | - Robert Plomin
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London SE5 8AF, United Kingdom
| | - Sheena Reilly
- Speech and Language, Murdoch Children's Research Institute, Melbourne, VIC 3052, Australia
- Menzies Health Institute Queensland, Griffith University, Gold Coast, QLD 4222, Australia
| | - Gerd Schulte-Körne
- Department of Child and Adolescent Psychiatry, Psychosomatics, and Psychotherapy, Ludwig-Maximilians-University Hospital Munich, Munich, 80336 Germany
| | - J. Bruce Tomblin
- Communication Sciences and Disorders, University of Iowa, Iowa City, IA 52242
| | - Elsje van Bergen
- Department of Biological Psychology, Vrije Universiteit Amsterdam, 1081 BT Amsterdam, the Netherlands
- Netherlands Twin Register, 1081 BT Amsterdam, the Netherlands
- Research Institute LEARN!, Vrije Universiteit Amsterdam, 1081 BT Amsterdam, the Netherlands
| | | | - Erik G. Willcutt
- Department of Psychology and Neuroscience, University of Colorado, Boulder, CO 80309-0447
| | - Beate St Pourcain
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, 6525 XD Nijmegen, the Netherlands
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol BS8 2BN, United Kingdom
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, 6525 EN Nijmegen, the Netherlands
| | - Clyde Francks
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, 6525 XD Nijmegen, the Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, 6525 EN Nijmegen, the Netherlands
- Department of Human Genetics, Radboud University Medical Center, 6525 GA Nijmegen, the Netherlands
| | - Simon E. Fisher
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, 6525 XD Nijmegen, the Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, 6525 EN Nijmegen, the Netherlands
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18
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Liu T, Thiebaut de Schotten M, Altarelli I, Ramus F, Zhao J. Neural dissociation of visual attention span and phonological deficits in developmental dyslexia: A hub-based white matter network analysis. Hum Brain Mapp 2022; 43:5210-5219. [PMID: 35808916 PMCID: PMC9812243 DOI: 10.1002/hbm.25997] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2021] [Revised: 06/05/2022] [Accepted: 06/06/2022] [Indexed: 01/15/2023] Open
Abstract
It has been suggested that developmental dyslexia may have two dissociable causes-a phonological deficit and a visual attention span (VAS) deficit. Yet, neural evidence for such a dissociation is still lacking. This study adopted a data-driven approach to white matter network analysis to explore hubs and hub-related networks corresponding to VAS and phonological accuracy in a group of French dyslexic children aged from 9 to 14 years. A double dissociation in brain-behavior relations was observed. Structural connectivity of the occipital-parietal network surrounding the left superior occipital gyrus hub accounted for individual differences in dyslexic children's VAS, but not in phonological processing accuracy. In contrast, structural connectivity of two networks: the temporal-parietal-occipital network surrounding the left middle temporal gyrus hub and the frontal network surrounding the left medial orbital superior frontal gyrus hub, accounted for individual differences in dyslexic children's phonological processing accuracy, but not in VAS. Our findings provide evidence in favor of distinct neural circuits corresponding to VAS and phonological deficits in developmental dyslexia. The study points to connectivity-constrained white matter subnetwork dysfunction as a key principle for understanding individual differences of cognitive deficits in developmental dyslexia.
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Affiliation(s)
- Tianqiang Liu
- School of PsychologyShaanxi Normal University, and Key Laboratory for Behavior and Cognitive Neuroscience of Shaanxi ProvinceXi'anChina
| | - Michel Thiebaut de Schotten
- Groupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives‐UMR 5293, CNRS, CEAUniversity of BordeauxBordeauxFrance,Brain Connectivity and Behaviour LaboratorySorbonne UniversitiesParisFrance
| | - Irene Altarelli
- LaPsyDÉ laboratory (UMR 8240)Université Paris CitéParisFrance,Laboratoire de Sciences Cognitives et Psycholinguistique (ENS, EHESS, CNRS), Département d'Etudes Cognitives, Ecole Normale SupérieurePSL UniversityParisFrance
| | - Franck Ramus
- Laboratoire de Sciences Cognitives et Psycholinguistique (ENS, EHESS, CNRS), Département d'Etudes Cognitives, Ecole Normale SupérieurePSL UniversityParisFrance
| | - Jingjing Zhao
- School of PsychologyShaanxi Normal University, and Key Laboratory for Behavior and Cognitive Neuroscience of Shaanxi ProvinceXi'anChina
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19
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Braid J, Richlan F. The Functional Neuroanatomy of Reading Intervention. Front Neurosci 2022; 16:921931. [PMID: 35784836 PMCID: PMC9243375 DOI: 10.3389/fnins.2022.921931] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2022] [Accepted: 05/31/2022] [Indexed: 11/29/2022] Open
Abstract
The present article reviews the literature on the brain mechanisms underlying reading improvements following behavioral intervention for reading disability. This includes evidence of neuroplasticity concerning functional brain activation, brain structure, and brain connectivity related to reading intervention. Consequently, the functional neuroanatomy of reading intervention is compared to the existing literature on neurocognitive models and brain abnormalities associated with reading disability. A particular focus is on the left hemisphere reading network including left occipito-temporal, temporo-parietal, and inferior frontal language regions. In addition, potential normalization/compensation mechanisms involving right hemisphere cortical regions, as well as bilateral sub-cortical and cerebellar regions are taken into account. The comparison of the brain systems associated with reading intervention and the brain systems associated with reading disability enhances our understanding of the neurobiological basis of typical and atypical reading development. All in all, however, there is a lack of sufficient evidence regarding rehabilitative brain mechanisms in reading disability, which we discuss in this review.
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20
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Eckert MA, Vaden KI, Iuricich F. Cortical asymmetries at different spatial hierarchies relate to phonological processing ability. PLoS Biol 2022; 20:e3001591. [PMID: 35381012 PMCID: PMC8982829 DOI: 10.1371/journal.pbio.3001591] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2021] [Accepted: 03/03/2022] [Indexed: 11/22/2022] Open
Abstract
The ability to map speech sounds to corresponding letters is critical for establishing proficient reading. People vary in this phonological processing ability, which has been hypothesized to result from variation in hemispheric asymmetries within brain regions that support language. A cerebral lateralization hypothesis predicts that more asymmetric brain structures facilitate the development of foundational reading skills like phonological processing. That is, structural asymmetries are predicted to linearly increase with ability. In contrast, a canalization hypothesis predicts that asymmetries constrain behavioral performance within a normal range. That is, structural asymmetries are predicted to quadratically relate to phonological processing, with average phonological processing occurring in people with the most asymmetric structures. These predictions were examined in relatively large samples of children (N = 424) and adults (N = 300), using a topological asymmetry analysis of T1-weighted brain images and a decoding measure of phonological processing. There was limited evidence of structural asymmetry and phonological decoding associations in classic language-related brain regions. However, and in modest support of the cerebral lateralization hypothesis, small to medium effect sizes were observed where phonological decoding accuracy increased with the magnitude of the largest structural asymmetry across left hemisphere cortical regions, but not right hemisphere cortical regions, for both the adult and pediatric samples. In support of the canalization hypothesis, small to medium effect sizes were observed where phonological decoding in the normal range was associated with increased asymmetries in specific cortical regions for both the adult and pediatric samples, which included performance monitoring and motor planning brain regions that contribute to oral and written language functions. Thus, the relevance of each hypothesis to phonological decoding may depend on the scale of brain organization.
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Affiliation(s)
- Mark A. Eckert
- Hearing Research Program, Department of Otolaryngology—Head and Neck Surgery, Medical University of South Carolina, Charleston, South Carolina, United States of America
| | - Kenneth I. Vaden
- Hearing Research Program, Department of Otolaryngology—Head and Neck Surgery, Medical University of South Carolina, Charleston, South Carolina, United States of America
| | - Federico Iuricich
- Visual Computing Division, School of Computing, Clemson University, Clemson, South Carolina, United States of America
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21
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Li H, Yuan Q, Luo YJ, Tao W. A new perspective for understanding the contributions of the cerebellum to reading: The cerebro-cerebellar mapping hypothesis. Neuropsychologia 2022; 170:108231. [DOI: 10.1016/j.neuropsychologia.2022.108231] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2021] [Revised: 03/28/2022] [Accepted: 03/29/2022] [Indexed: 02/07/2023]
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22
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Ligges C, Ligges M, Gaser C. Cross-Sectional Investigation of Brain Volume in Dyslexia. Front Neurol 2022; 13:847919. [PMID: 35350399 PMCID: PMC8957969 DOI: 10.3389/fneur.2022.847919] [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: 01/17/2022] [Accepted: 02/04/2022] [Indexed: 01/18/2023] Open
Abstract
The goal of the study was to determine whether dyslexia is associated with differences in local brain volume, and whether these local brain volume differences show cross-sectional age-effects. We investigated the local volume of gray and white brain matter with voxel-based morphometry (VBM) as well as reading performance in three age groups of dyslexic and neurotypical normal reading subjects (children, teenagers and adults). Performance data demonstrate a steady improvement of reading skills in both neurotypical as well as dyslexic readers. However, the pattern of gray matter volumes tell a different story: the children are the only group with significant differences between neurotypical and dyslexic readers in local gray matter brain volume. These differences are localized in brain areas associated with the reading network (angular, middle temporal and inferior temporal gyrus as well as the cerebellum). Yet the comparison of neurotypical and normal readers over the age groups shows that the steady increase in performance in neurotypical readers is accompanied by a steady decrease of gray matter volume, whereas the brain volumes of dyslexic readers do not show this linear correlation between brain volume and performance. This is further evidence that dyslexia is a disorder with a neuroanatomical basis in the form of a lower volume of gray matter in parts of the reading network in early dyslexic readers. The present data point out that network shaping processes in gray matter volume in the reading network does take place over age in dyslexia. Yet this neural foundation does not seem to be sufficient to allow normal reading performances even in adults with dyslexia. Thus dyslexia is a disorder with lifelong consequences, which is why consistent support for affected individuals in their educational and professional careers is of great importance. Longitudinal studies are needed to verify whether this holds as a valid pattern or whether there is evidence of greater interindividual variance in the neuroanatomy of dyslexia.
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Affiliation(s)
- Carolin Ligges
- Department of Child and Adolescent Psychiatry, Psychosomatic Medicine and Psychotherapy, Jena University Hospital, Jena, Germany
| | - Marc Ligges
- Department of Child and Adolescent Psychiatry, Psychosomatic Medicine and Psychotherapy, Jena University Hospital, Jena, Germany
| | - Christian Gaser
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany.,Department of Neurology, Jena University Hospital, Jena, Germany
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23
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The selective contributions of right cerebellar lobules to reading. Brain Struct Funct 2022; 227:963-977. [PMID: 34997379 DOI: 10.1007/s00429-021-02434-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2021] [Accepted: 11/19/2021] [Indexed: 11/02/2022]
Abstract
The engagement of the cerebellum during reading tasks is not unprecedented. However, it is still unclear which regions in the cerebellum are specifically involved in reading and how the cerebellum processes different languages. With functional magnetic resonance imaging, we compared the cerebellar neural activity in Chinese child learners of English between reading and non-reading tasks to identify functionally specialized areas for reading, and between Chinese characters and English words in a passive viewing paradigm to detect regions sensitive to different scripts. Two posterior subregions of right lobule VI, as well as right lobule VIIIA, demonstrated greater activation to viewing Chinese characters and English words compared to the non-reading tasks. However, we did not find any cerebellar regions that were differentially responsive to Chinese versus English print. Instead, we observed that functional connectivity between the two above-mentioned cerebellar regions (lobules VI and VIIIA) and the left inferior parietal lobule was significantly greater in English reading compared to Chinese reading. Overall, these results indicate that the posterior parts of right lobule VI and the right lobule VIIIA could be reading-specific regions, and deepen our understanding of how the cerebellum contributes to reading.
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24
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Evidence of graphomotor dysfunction in children with dyslexia A combined behavioural and fMRI experiment. Cortex 2022; 148:68-88. [DOI: 10.1016/j.cortex.2021.11.021] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2021] [Revised: 08/19/2021] [Accepted: 11/26/2021] [Indexed: 01/02/2023]
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25
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Mundorf A, Peterburs J, Ocklenburg S. Asymmetry in the Central Nervous System: A Clinical Neuroscience Perspective. Front Syst Neurosci 2021; 15:733898. [PMID: 34970125 PMCID: PMC8712556 DOI: 10.3389/fnsys.2021.733898] [Citation(s) in RCA: 34] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Accepted: 11/25/2021] [Indexed: 01/20/2023] Open
Abstract
Recent large-scale neuroimaging studies suggest that most parts of the human brain show structural differences between the left and the right hemisphere. Such structural hemispheric asymmetries have been reported for both cortical and subcortical structures. Interestingly, many neurodevelopmental and psychiatric disorders have been associated with altered functional hemispheric asymmetries. However, findings concerning the relation between structural hemispheric asymmetries and disorders have largely been inconsistent, both within specific disorders as well as between disorders. In the present review, we compare structural asymmetries from a clinical neuroscience perspective across different disorders. We focus especially on recent large-scale neuroimaging studies, to concentrate on replicable effects. With the notable exception of major depressive disorder, all reviewed disorders were associated with distinct patterns of alterations in structural hemispheric asymmetries. While autism spectrum disorder was associated with altered structural hemispheric asymmetries in a broader range of brain areas, most other disorders were linked to more specific alterations in brain areas related to cognitive functions that have been associated with the symptomology of these disorders. The implications of these findings are highlighted in the context of transdiagnostic approaches to psychopathology.
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Affiliation(s)
- Annakarina Mundorf
- Institute for Systems Medicine and Department of Human Medicine, MSH Medical School Hamburg, Hamburg, Germany
| | - Jutta Peterburs
- Institute for Systems Medicine and Department of Human Medicine, MSH Medical School Hamburg, Hamburg, Germany
| | - Sebastian Ocklenburg
- Biopsychology, Institute of Cognitive Neuroscience, Faculty of Psychology, Ruhr University Bochum, Bochum, Germany
- Department of Psychology, MSH Medical School Hamburg, Hamburg, Germany
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26
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Siegelman N, van den Bunt MR, Lo JCM, Rueckl JG, Pugh KR. Theory-driven classification of reading difficulties from fMRI data using Bayesian latent-mixture models. Neuroimage 2021; 242:118476. [PMID: 34416399 PMCID: PMC8494078 DOI: 10.1016/j.neuroimage.2021.118476] [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: 02/05/2021] [Revised: 07/19/2021] [Accepted: 08/13/2021] [Indexed: 11/29/2022] Open
Abstract
Decades of research have led to several competing theories regarding the neural contributors to impaired reading. But how can we know which theory (or theories) identifies the types of markers that indeed differentiate between individuals with reading disabilities (RD) and their typically developing (TD) peers? To answer this question, we propose a new analytical tool for theory evaluation and comparison, grounded in the Bayesian latent-mixture modeling framework. We start by constructing a series of latent-mixture classification models, each reflecting one existing theoretical claim regarding the neurofunctional markers of RD (highlighting network-level differences in either mean activation, inter-subject heterogeneity, inter-region variability, or connectivity). Then, we run each model on fMRI data alone (i.e., while models are blind to participants' behavioral status), which enables us to interpret the fit between a model's classification of participants and their behavioral (known) RD/TD status as an estimate of its explanatory power. Results from n=127 adolescents and young adults (RD: n=59; TD: n=68) show that models based on network-level differences in mean activation and heterogeneity failed to differentiate between TD and RD individuals. In contrast, classifications based on variability and connectivity were significantly associated with participants' behavioral status. These findings suggest that differences in inter-region variability and connectivity may be better network-level markers of RD than mean activation or heterogeneity (at least in some populations and tasks). More broadly, the results demonstrate the promise of latent-mixture modeling as a theory-driven tool for evaluating different theoretical claims regarding neural contributors to language disorders and other cognitive traits.
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Affiliation(s)
| | | | | | - Jay G Rueckl
- Haskins Laboratories, USA; University of Connecticut, USA
| | - Kenneth R Pugh
- Haskins Laboratories, USA; University of Connecticut, USA; Yale University, USA
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27
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Abstract
Structural asymmetries in language-related brain regions have long been hypothesized to underlie hemispheric language laterality and variability in language functions. These structural asymmetries have been examined using voxel-level, gross volumetric, and surface area measures of gray matter and white matter. Here we used deformation-based and persistent homology approaches to characterize the three-dimensional topology of brain structure asymmetries within language-related areas that were defined in functional neuroimaging experiments. Persistence diagrams representing the range of values for each spatially unique structural asymmetry were collected within language-related regions of interest across 212 children (mean age (years) = 10.56, range 6.39–16.92; 39% female). These topological data exhibited both leftward and rightward asymmetries within the same language-related regions. Permutation testing demonstrated that age and sex effects were most consistent and pronounced in the superior temporal sulcus, where older children and males had more rightward asymmetries. While, consistent with previous findings, these associations exhibited small effect sizes that were observable because of the relatively large sample. In addition, the density of rightward asymmetry structures in nearly all language-related regions was consistently higher than the density of leftward asymmetric structures. These findings guide the prediction that the topological pattern of structural asymmetries in language-related regions underlies the organization of language.
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28
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Mao J, Liu L, Perkins K, Cao F. Poor reading is characterized by a more connected network with wrong hubs. BRAIN AND LANGUAGE 2021; 220:104983. [PMID: 34174464 DOI: 10.1016/j.bandl.2021.104983] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/10/2020] [Revised: 06/01/2021] [Accepted: 06/15/2021] [Indexed: 06/13/2023]
Abstract
Using graph theory, we examined topological organization of the language network in Chinese children with poor reading during an auditory rhyming task and a visual spelling task, compared to reading-matched controls and age-matched controls. First, poor readers (PR) showed reduced clustering coefficient in the left inferior frontal gyrus (IFG) and higher nodal efficiency in the bilateral superior temporal gyri (STG) during the visual task, indicating a less functionally specialized cluster around the left IFG and stronger functional links between bilateral STGs and other regions. Furthermore, PR adopted additional right-hemispheric hubs in both tasks, which may explain increased global efficiency across both tasks and lower normalized characteristic shortest path length in the visual task for the PR. These results underscore deficits in the left IFG during visual word processing and conform previous findings about compensation in the right hemisphere in children with poor reading.
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Affiliation(s)
- Jiaqi Mao
- Department of Psychology, Sun Yat-Sen University, China
| | - Lanfang Liu
- Department of Psychology, Sun Yat-Sen University, China
| | - Kyle Perkins
- Department of Teaching and Learning, College of Arts, Sciences and Education, Florida International University, United States
| | - Fan Cao
- Department of Psychology, Sun Yat-Sen University, China.
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29
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Martins M, Reis AM, Castro SL, Gaser C. Gray matter correlates of reading fluency deficits: SES matters, IQ does not. Brain Struct Funct 2021; 226:2585-2601. [PMID: 34357437 DOI: 10.1007/s00429-021-02353-1] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2020] [Accepted: 07/26/2021] [Indexed: 02/05/2023]
Abstract
Brain correlates of reading ability have been intensely investigated. Most studies have focused on single-word reading and phonological processing, but the brain basis of reading fluency remains poorly explored to date. Here, in a voxel-based morphometry study with 8-year-old children, we compared fluent readers (n = 18; seven boys) with dysfluent readers with normal IQ (n = 18; six boys) and with low IQ (n = 18; ten boys). Relative to dysfluent readers, fluent readers had larger gray matter volume in the right superior temporal gyrus and the two subgroups of dysfluent readers did not differ from each other, as shown in frequentist and Bayesian analyses. Pairwise comparisons showed that dysfluent readers of normal and low IQ did not differ in core reading regions and that both subgroups had less gray matter volume than fluent readers in occipito-temporal, parieto-temporal and fusiform areas. We also examined gray matter volume in matched subgroups of dysfluent readers differing only in socioeconomic status (SES): lower-SES (n = 14; seven boys) vs. higher-SES (n = 14; seven boys). Higher-SES dysfluent readers had larger gray matter volume in the right angular gyrus than their lower-SES peers, and the volume of this cluster correlated positively with lexico-semantic fluency. Age, sex, IQ, and gray matter volume of the right angular cluster explained 68% of the variance in the reading fluency of higher-SES dysfluent readers. In sum, this study shows that gray matter correlates of dysfluent reading are independent of IQ, and suggests that SES modulates areas sub-serving lexico-semantic processes in dysfluent readers-two findings that may be useful to inform language/reading remediation programs.
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Affiliation(s)
- Marta Martins
- Instituto Universitário de Lisboa (ISCTE-IUL), Lisboa, Portugal
- Center for Psychology, Faculty of Psychology and Education Sciences, University of Porto, Rua Alfredo Allen, 4200-135, Porto, Portugal
| | | | - São Luís Castro
- Center for Psychology, Faculty of Psychology and Education Sciences, University of Porto, Rua Alfredo Allen, 4200-135, Porto, Portugal.
| | - Christian Gaser
- Department of Psychiatry, Jena University Hospital, Jena, Germany
- Department of Neurology, Jena University Hospital, Jena, Germany
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30
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Phan TV, Sima D, Smeets D, Ghesquière P, Wouters J, Vandermosten M. Structural brain dynamics across reading development: A longitudinal MRI study from kindergarten to grade 5. Hum Brain Mapp 2021; 42:4497-4509. [PMID: 34197028 PMCID: PMC8410537 DOI: 10.1002/hbm.25560] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2021] [Revised: 05/12/2021] [Accepted: 06/04/2021] [Indexed: 01/05/2023] Open
Abstract
Primary education is the incubator for learning academic skills that help children to become a literate, communicative, and independent person. Over this learning period, nonlinear and regional changes in the brain occur, but how these changes relate to academic performance, such as reading ability, is still unclear. In the current study, we analyzed longitudinal T1 MRI data of 41 children in order to investigate typical cortical development during the early reading stage (end of kindergarten-end of grade 2) and advanced reading stage (end of grade 2-middle of grade 5), and to detect putative deviant trajectories in children with dyslexia. The structural brain change was quantified with a reliable measure that directly calculates the local morphological differences between brain images of two time points, while considering the global head growth. When applying this measure to investigate typical cortical development, we observed that left temporal and temporoparietal regions belonging to the reading network exhibited an increase during the early reading stage and stabilized during the advanced reading stage. This suggests that the natural plasticity window for reading is within the first years of primary school, hence earlier than the typical period for reading intervention. Concerning neurotrajectories in children with dyslexia compared to typical readers, we observed no differences in gray matter development of the left reading network, but we found different neurotrajectories in right IFG opercularis (during the early reading stage) and in right isthmus cingulate (during the advanced reading stage), which could reflect compensatory neural mechanisms.
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Affiliation(s)
- Thanh Van Phan
- icometrix, Research and Development, Leuven, Belgium.,Experimental Oto-rhino-laryngology, Department Neurosciences, KU Leuven, Leuven, Belgium
| | - Diana Sima
- icometrix, Research and Development, Leuven, Belgium
| | - Dirk Smeets
- icometrix, Research and Development, Leuven, Belgium
| | - Pol Ghesquière
- Parenting and Special Education, Faculty of Psychology and Education Sciences, KU Leuven, Leuven, Belgium
| | - Jan Wouters
- Experimental Oto-rhino-laryngology, Department Neurosciences, KU Leuven, Leuven, Belgium
| | - Maaike Vandermosten
- Experimental Oto-rhino-laryngology, Department Neurosciences, KU Leuven, Leuven, Belgium
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31
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Kujala T, Sihvonen AJ, Thiede A, Palo-Oja P, Virtala P, Numminen J, Laasonen M. Voxel and surface based whole brain analysis shows reading skill associated grey matter abnormalities in dyslexia. Sci Rep 2021; 11:10862. [PMID: 34035329 PMCID: PMC8149879 DOI: 10.1038/s41598-021-89317-x] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2021] [Accepted: 04/01/2021] [Indexed: 01/18/2023] Open
Abstract
Developmental dyslexia (DD) is the most prevalent neurodevelopmental disorder with a substantial negative influence on the individual's academic achievement and career. Research on its neuroanatomical origins has continued for half a century, yielding, however, inconsistent results, lowered total brain volume being the most consistent finding. We set out to evaluate the grey matter (GM) volume and cortical abnormalities in adult dyslexic individuals, employing a combination of whole-brain voxel- and surface-based morphometry following current recommendations on analysis approaches, coupled with rigorous neuropsychological testing. Whilst controlling for age, sex, total intracranial volume, and performance IQ, we found both decreased GM volume and cortical thickness in the left insula in participants with DD. Moreover, they had decreased GM volume in left superior temporal gyrus, putamen, globus pallidus, and parahippocampal gyrus. Higher GM volumes and cortical thickness in these areas correlated with better reading and phonological skills, deficits of which are pivotal to DD. Crucially, total brain volume did not influence our results, since it did not differ between the groups. Our findings demonstrating abnormalities in brain areas in individuals with DD, which previously were associated with phonological processing, are compatible with the leading hypotheses on the neurocognitive origins of DD.
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Affiliation(s)
- Teija Kujala
- Cognitive Brain Research Unit, Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Haartmaninkatu 3 B, P.O. Box 21, 00014, Helsinki, Finland.
| | - Aleksi J Sihvonen
- Cognitive Brain Research Unit, Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Haartmaninkatu 3 B, P.O. Box 21, 00014, Helsinki, Finland.,Department of Neurosciences, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Anja Thiede
- Cognitive Brain Research Unit, Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Haartmaninkatu 3 B, P.O. Box 21, 00014, Helsinki, Finland
| | - Peter Palo-Oja
- Cognitive Brain Research Unit, Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Haartmaninkatu 3 B, P.O. Box 21, 00014, Helsinki, Finland
| | - Paula Virtala
- Cognitive Brain Research Unit, Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Haartmaninkatu 3 B, P.O. Box 21, 00014, Helsinki, Finland
| | - Jussi Numminen
- Department of Radiology, Töölö Hospital, Helsinki University Central Hospital, Helsinki, Finland
| | - Marja Laasonen
- Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Helsinki, Finland.,Department of Phoniatrics, Helsinki University Hospital, Helsinki, Finland.,School of Humanities, Philosophical Faculty, University of Eastern Finland, Joensuu, Finland
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32
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Li H, Kepinska O, Caballero JN, Zekelman L, Marks RA, Uchikoshi Y, Kovelman I, Hoeft F. Decoding the role of the cerebellum in the early stages of reading acquisition. Cortex 2021; 141:262-279. [PMID: 34102410 DOI: 10.1016/j.cortex.2021.02.033] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2020] [Revised: 01/03/2021] [Accepted: 02/08/2021] [Indexed: 10/21/2022]
Abstract
Numerous studies have consistently reported functional activation of the cerebellum during reading tasks, especially in the right cerebellar hemisphere. However, it remains unclear whether this region is also involved in reading during the earliest stages of reading acquisition. Here, we investigated whether and how the cerebellum contributes to reading acquisition. We tested 80 5-6-year-old kindergarteners, who performed a visual word matching task during which functional MRI (fMRI) data were collected. We found that bilateral cerebellar hemispheres were significantly activated during visual word processing. Moreover, activation of left cerebellar lobule VII extending to lobule VIII negatively and significantly correlated with current reading ability, whereas activation of right cerebellar lobule VII extending to lobule VIII significantly and positively correlated with future reading ability. Functional decoding via functional connectivity patterns further revealed that left and right cerebellar lobules connected with different cerebral cortex regions. Our results suggest a division of labor between the left and right cerebellar lobules in beginning readers.
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Affiliation(s)
- Hehui Li
- Center for Brain Disorders and Cognitive Science, Shenzhen University, Shenzhen, PR China; Department of Psychiatry and Behavioral Sciences, Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA, USA
| | - Olga Kepinska
- Department of Psychiatry and Behavioral Sciences, Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA, USA; Department of Psychological Sciences, University of Connecticut, Storrs, CT, USA; Department of Cognition, Emotion, and Methods in Psychology, Faculty of Psychology, University of Vienna, Vienna, Austria; Brain and Language Lab, Cognitive Science Hub, University of Vienna, Austria; Dept of Behavioral and Cognitive Biology, Faculty of Life Sciences, University of Vienna, Austria; Department of Psychology, Faculty of Psychology and Educational Sciences, University of Geneva, Geneva, Switzerland
| | - Jocelyn N Caballero
- Department of Psychiatry and Behavioral Sciences, Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA, USA
| | - Leo Zekelman
- Department of Psychiatry and Behavioral Sciences, Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA, USA; Speech and Hearing Bioscience and Technology, Harvard University, Cambridge, MA, USA
| | - Rebecca A Marks
- Department of Psychology, University of Michigan, Ann Arbor, MI, USA
| | - Yuuko Uchikoshi
- School of Education, University of California Davis, Davis, CA, USA
| | - Ioulia Kovelman
- Department of Psychology, University of Michigan, Ann Arbor, MI, USA
| | - Fumiko Hoeft
- Department of Psychiatry and Behavioral Sciences, Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA, USA; Department of Psychological Sciences, University of Connecticut, Storrs, CT, USA; Brain Imaging Research Center (BIRC), University of Connecticut, Storrs, CT, USA; Haskins Laboratories, New Haven, CT, USA.
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33
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Partanen M, Kim DHC, Rauscher A, Siegel LS, Giaschi DE. White matter but not grey matter predicts change in reading skills after intervention. DYSLEXIA (CHICHESTER, ENGLAND) 2021; 27:224-244. [PMID: 32959479 DOI: 10.1002/dys.1668] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/10/2019] [Revised: 04/28/2020] [Accepted: 09/04/2020] [Indexed: 06/11/2023]
Abstract
This study examined changes in white matter microstructure and grey matter volume, cortical thickness, and cortical surface area before and after reading intervention. Participants included 22 average readers and 13 dyslexic readers (8-9 years old in third grade); the dyslexic readers were enrolled in reading intervention programs at their elementary school. Participants completed scans of diffusion tensor imaging and T1-weighted MRI before and after 3 months of instruction. An a priori region of interest (ROI) analysis was used. Dyslexic readers, compared to average readers, showed higher mean diffusivity in white matter ROIs including bilateral inferior frontal, bilateral insula, left superior temporal, and right supramarginal gyri across time points. Dyslexic readers also had thicker cortex in left fusiform and bilateral supramarginal gyri; whereas, average readers had greater surface area in right fusiform across time. There were no significant changes in white or grey matter following intervention; however, mean diffusivity in the right hemisphere was associated with reading gains over time. White matter organization in the right hemisphere predicts reading changes, and dyslexic readers may have persistent differences in white and grey matter due to ongoing reading deficits.
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Affiliation(s)
- Marita Partanen
- Department of Educational & Counselling Psychology, and Special Education, The University of British Columbia, Vancouver, British Columbia, Canada
| | - Danny H C Kim
- B.C. Children's Hospital MRI Research Facility, B.C. Children's Hospital Research Institute, Vancouver, British Columbia, Canada
| | - Alexander Rauscher
- Department of Pediatrics, The University of British Columbia, Vancouver, British Columbia, Canada
| | - Linda S Siegel
- Department of Educational & Counselling Psychology, and Special Education, The University of British Columbia, Vancouver, British Columbia, Canada
| | - Deborah E Giaschi
- B.C. Children's Hospital MRI Research Facility, B.C. Children's Hospital Research Institute, Vancouver, British Columbia, Canada
- Department of Ophthalmology and Visual Sciences, The University of British Columbia, Vancouver, British Columbia, Canada
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34
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Vaden KI, Gebregziabher M, Dyslexia Data Consortium, Eckert MA. Fully synthetic neuroimaging data for replication and exploration. Neuroimage 2020; 223:117284. [PMID: 32828925 PMCID: PMC7688496 DOI: 10.1016/j.neuroimage.2020.117284] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2020] [Revised: 08/12/2020] [Accepted: 08/16/2020] [Indexed: 11/19/2022] Open
Abstract
Scientific transparency, data exploration, and education are advanced through data sharing. However, risk for disclosure of personal information and institutional data sharing regulations can impede human subject/patient data sharing and thus limit open science initiatives. Sharing fully synthetic data is an alternative when it is not possible to share real or observed data. Here we describe a data sharing approach that borrows principles and methods from multiple imputation to replace observed values with synthetic values, thereby creating a fully synthetic neuroimaging dataset that accurately represents the covariance structure of the observed dataset. Predictor tables composed of demographic, site, behavioral and total intracranial volume (ICV) variables from 264 pediatric cases were used to create synthetic predictor tables, which were then used to synthesize gray matter images derived from T1-weighted data. The synthetic predictor tables demonstrated pooled variance and statistical estimates that closely approximated the observed data, as reflected in measures of efficiency and statistical bias. Similarly, the synthetic gray matter data accurately represented the variance and voxel-level associations with predictor variables (age, sex, verbal IQ, and ICV). The magnitude and spatial distribution of gray matter effects in the observed imaging data were replicated in the pooled results from the synthetic datasets. This approach for generating fully synthetic neuroimaging data has widespread potential for data sharing, including replication, new discovery, and education. Fully synthetic neuroimaging datasets can enable data-sharing because it accurately represents patterns of variance in the original data, while diminishing the risk of privacy disclosures that can accompany neuroimaging data sharing.
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Affiliation(s)
- Kenneth I Vaden
- Department of Otolaryngology-Head and Neck Surgery, Medical University of South Carolina, 135 Rutledge Avenue, MSC 550, Charleston, SC, Unites States.
| | - Mulugeta Gebregziabher
- Division of Biostatistics and Epidemiology, Medical University of South Carolina, Unites States
| | | | - Mark A Eckert
- Department of Otolaryngology-Head and Neck Surgery, Medical University of South Carolina, 135 Rutledge Avenue, MSC 550, Charleston, SC, Unites States.
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35
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Beaulieu C, Yip E, Low PB, Mädler B, Lebel CA, Siegel L, Mackay AL, Laule C. Myelin Water Imaging Demonstrates Lower Brain Myelination in Children and Adolescents With Poor Reading Ability. Front Hum Neurosci 2020; 14:568395. [PMID: 33192398 PMCID: PMC7596275 DOI: 10.3389/fnhum.2020.568395] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2020] [Accepted: 08/31/2020] [Indexed: 01/18/2023] Open
Abstract
Magnetic resonance imaging (MRI) provides a means to non-invasively investigate the neurological links with dyslexia, a learning disability that affects one’s ability to read. Most previous brain MRI studies of dyslexia and reading skill have used structural or diffusion imaging to reveal regional brain abnormalities. However, volumetric and diffusion MRI lack specificity in their interpretation at the microstructural level. Myelin is a critical neural component for brain function and plasticity, and as such, deficits in myelin may impact reading ability. MRI can estimate myelin using myelin water fraction (MWF) imaging, which is based on evaluation of the proportion of short T2 myelin-associated water from multi-exponential T2 relaxation analysis, but has not yet been applied to the study of reading or dyslexia. In this study, MWF MRI, intelligence, and reading assessments were acquired in 20 participants aged 10–18 years with a wide range of reading ability to investigate the relationship between reading ability and myelination. Group comparisons showed markedly lower MWF by 16–69% in poor readers relative to good readers in the left and right thalamus, as well as the left posterior limb of the internal capsule, left/right anterior limb of the internal capsule, left/right centrum semiovale, and splenium of the corpus callosum. MWF over the entire group also correlated positively with three different reading scores in the bilateral thalamus as well as white matter, including the splenium of the corpus callosum, left posterior limb of the internal capsule, left anterior limb of the internal capsule, and left centrum semiovale. MWF imaging from T2 relaxation suggests that myelination, particularly in the bilateral thalamus, splenium, and left hemisphere white matter, plays a role in reading abilities. Myelin water imaging thus provides a potentially valuable in vivo imaging tool for the study of dyslexia and its remediation.
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Affiliation(s)
- Christian Beaulieu
- Department of Biomedical Engineering, University of Alberta, Edmonton, AB, Canada
| | - Eugene Yip
- Department of Physics and Astronomy, University of British Columbia, Vancouver, BC, Canada
| | - Pauline B Low
- Department of Education and Counseling Psychology, University of British Columbia, Vancouver, BC, Canada
| | | | | | - Linda Siegel
- Department of Education and Counseling Psychology, University of British Columbia, Vancouver, BC, Canada
| | - Alex L Mackay
- Department of Physics and Astronomy, University of British Columbia, Vancouver, BC, Canada.,Department of Radiology, University of British Columbia, Vancouver, BC, Canada
| | - Cornelia Laule
- Department of Physics and Astronomy, University of British Columbia, Vancouver, BC, Canada.,Department of Radiology, University of British Columbia, Vancouver, BC, Canada.,Department of Pathology & Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada.,International Collaboration on Repair Discoveries (ICORD), University of British Columbia, Vancouver, BC, Canada
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36
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Li H, Booth JR, Feng X, Wei N, Zhang M, Zhang J, Zhong H, Lu C, Liu L, Ding G, Meng X. Functional parcellation of the right cerebellar lobule VI in children with normal or impaired reading. Neuropsychologia 2020; 148:107630. [PMID: 32976851 DOI: 10.1016/j.neuropsychologia.2020.107630] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2020] [Revised: 09/06/2020] [Accepted: 09/14/2020] [Indexed: 12/27/2022]
Abstract
Neuroimaging studies have reported that the right cerebellar lobule VI is engaged in reading, but its role is unclear. The goal of our study was to identify functionally-dissociable subregions in the right lobule VI and how these subregions contribute to reading in children with normal or impaired reading. In Experiment I, typically developing children performed an orthographic task and a phonological task during functional magnetic resonance imaging (fMRI). We classified the voxels in the right lobule VI into seven zones based on the patterns of functional connectivity with the cerebrum across both tasks. In Experiment II, we compared the brain activation and cerebro-cerebellar connectivities of each subregion between children readers with different reading levels. We did not find significant group differences in cerebellar activation. However, we found that impaired readers had considerably higher functional connectivity between R1 and the right angular gyrus and the right precuneus compared to the control group in the phonological task. These findings show that the right cerebellar lobule VI is functionally parceled and its subregions might be differentially connected with the cerebrum between children with normal reading abilities and those with impaired reading.
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Affiliation(s)
- Hehui Li
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, China
| | - James R Booth
- Department of Psychology and Human Development, Vanderbilt University, Nashville, TN, 37203-5721, USA
| | - Xiaoxia Feng
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, China
| | - Na Wei
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, China
| | - Manli Zhang
- School of Psychological and Cognitive Sciences, Beijing Key Laboratory of Behavior and Mental Health, Peking University, Beijing, 100871, China
| | - Jia Zhang
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, China
| | - Hejing Zhong
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, China
| | - Chunming Lu
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, China
| | - Li Liu
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, China
| | - Guosheng Ding
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, China.
| | - Xiangzhi Meng
- School of Psychological and Cognitive Sciences, Beijing Key Laboratory of Behavior and Mental Health, Peking University, Beijing, 100871, China; PekingU-PolyU Center for Child Development and Learning, Peking University, Beijing, 100871, China.
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37
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Thiede A, Parkkonen L, Virtala P, Laasonen M, Mäkelä J, Kujala T. Neuromagnetic speech discrimination responses are associated with reading-related skills in dyslexic and typical readers. Heliyon 2020; 6:e04619. [PMID: 32904386 PMCID: PMC7452546 DOI: 10.1016/j.heliyon.2020.e04619] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2020] [Revised: 06/09/2020] [Accepted: 07/30/2020] [Indexed: 11/28/2022] Open
Abstract
Poor neural speech discrimination has been connected to dyslexia, and may represent phonological processing deficits that are hypothesized to be the main cause for reading impairments. Thus far, neural speech discrimination impairments have rarely been investigated in adult dyslexics, and even less by examining sources of neuromagnetic responses. We compared neuromagnetic speech discrimination in dyslexic and typical readers with mismatch fields (MMF) and determined the associations between MMFs and reading-related skills. We expected weak and atypically lateralized MMFs in dyslexic readers, and positive associations between reading-related skills and MMF strength. MMFs were recorded to a repeating pseudoword /ta-ta/ with occasional changes in vowel identity, duration, or syllable frequency from 43 adults, 21 with confirmed dyslexia. Phonetic (vowel and duration) changes elicited left-lateralized MMFs in the auditory cortices. Contrary to our hypothesis, MMF source strengths or lateralization did not differ between groups. However, better verbal working memory was associated with stronger left-hemispheric MMFs to duration changes across groups, and better reading was associated with stronger right-hemispheric late MMFs across speech-sound changes in dyslexic readers. This suggests a link between neural speech processing and reading-related skills, in line with previous work. Furthermore, our findings suggest a right-hemispheric compensatory mechanism for language processing in dyslexia. The results obtained promote the use of MMFs in investigating reading-related brain processes.
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Affiliation(s)
- A. Thiede
- Cognitive Brain Research Unit, Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Finland
| | - L. Parkkonen
- Department of Neuroscience and Biomedical Engineering, School of Science, Aalto University, Finland
- Aalto Neuroimaging, Aalto University, Finland
| | - P. Virtala
- Cognitive Brain Research Unit, Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Finland
| | - M. Laasonen
- Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Finland
- Department of Phoniatrics, Helsinki University Hospital, Finland
| | - J.P. Mäkelä
- BioMag Laboratory, HUS Medical Imaging Center, Helsinki University Central Hospital, Finland
| | - T. Kujala
- Cognitive Brain Research Unit, Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Finland
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38
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Perdue MV, Mednick J, Pugh KR, Landi N. Gray Matter Structure Is Associated with Reading Skill in Typically Developing Young Readers. Cereb Cortex 2020; 30:5449-5459. [PMID: 32488230 DOI: 10.1093/cercor/bhaa126] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2019] [Revised: 04/22/2020] [Accepted: 04/22/2020] [Indexed: 12/17/2022] Open
Abstract
Research using functional and structural magnetic resonance imaging has identified areas of reduced brain activation and gray matter volume in children and adults with reading disability, but associations between cortical structure and individual differences in reading in typically developing children remain underexplored. Furthermore, the majority of research linking gray matter structure to reading ability quantifies gray matter in terms of volume, and cannot specify unique contributions of cortical surface area and thickness to these relationships. Here, we applied a continuous analytic approach to investigate associations between distinct surface-based properties of cortical structure and individual differences in reading-related skills in a sample of typically developing young children. Correlations between cortical structure and reading-related skills were conducted using a surface-based vertex-wise approach. Cortical thickness in the left superior temporal cortex was positively correlated with word and pseudoword reading performance. The observed positive correlation between cortical thickness in the left superior temporal cortex and reading may have implications for the patterns of brain activation that support reading.
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Affiliation(s)
- Meaghan V Perdue
- University of Connecticut, 406 Babbidge Road, Unit 1020, Storrs, CT, 06269, USA.,Haskins Laboratories, 300 George St #900, New Haven, CT 06511, USA
| | - Joshua Mednick
- University of Connecticut, 406 Babbidge Road, Unit 1020, Storrs, CT, 06269, USA
| | - Kenneth R Pugh
- University of Connecticut, 406 Babbidge Road, Unit 1020, Storrs, CT, 06269, USA.,Haskins Laboratories, 300 George St #900, New Haven, CT 06511, USA
| | - Nicole Landi
- University of Connecticut, 406 Babbidge Road, Unit 1020, Storrs, CT, 06269, USA.,Haskins Laboratories, 300 George St #900, New Haven, CT 06511, USA
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39
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Peyre H, Mohanpuria N, Jednoróg K, Heim S, Grande M, van Ermingen-Marbach M, Altarelli I, Monzalvo K, Williams CM, Germanaud D, Toro R, Ramus F. Neuroanatomy of dyslexia: An allometric approach. Eur J Neurosci 2020; 52:3595-3609. [PMID: 31991019 DOI: 10.1111/ejn.14690] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2019] [Revised: 01/04/2020] [Accepted: 01/17/2020] [Indexed: 01/06/2023]
Abstract
Despite evidence for a difference in total brain volume between dyslexic and good readers, no previous neuroimaging study examined differences in allometric scaling (i.e. differences in the relationship between regional and total brain volumes) between dyslexic and good readers. The present study aims to fill this gap by testing differences in allometric scaling and regional brain volume differences in dyslexic and good readers. Object-based morphometry analysis was used to determine grey and white matter volumes of the four lobes, the cerebellum and limbic structures in 130 dyslexic and 106 good readers aged 8-14 years. Data were collected across three countries (France, Poland and Germany). Three methodological approaches were used as follows: principal component analysis (PCA), linear regression and multiple-group confirmatory factor analysis (MGCFA). Difference in total brain volume between good and dyslexic readers was Cohen's d = 0.39. We found no difference in allometric scaling, nor in regional brain volume between dyslexic and good readers. Results of our three methodological approaches (PCA, linear regression and MGCFA) were consistent. This study provides evidence for total brain volume differences between dyslexic and control children, but no evidence for differences in the volumes of the four lobes, the cerebellum or limbic structures, once allometry is taken into account. It also finds no evidence for a difference in allometric relationships between the groups. We highlight the methodological interest of the MGCFA approach to investigate such research issues.
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Affiliation(s)
- Hugo Peyre
- Laboratoire de Sciences Cognitives et Psycholinguistique (ENS, EHESS, CNRS), Ecole Normale Supérieure, PSL University, Paris, France.,Neurodiderot, INSERM UMR 1141, Paris Diderot University, Paris, France.,Department of Child and Adolescent Psychiatry, Robert Debré Hospital, APHP, Paris, France
| | - Neha Mohanpuria
- Laboratoire de Sciences Cognitives et Psycholinguistique (ENS, EHESS, CNRS), Ecole Normale Supérieure, PSL University, Paris, France
| | - Katarzyna Jednoróg
- Laboratory of Language Neurobiology, Nencki Institute of Experimental Biology, Polish Academy of Sciences (PAS), Warsaw, Poland
| | - Stefan Heim
- Department of Psychiatry, Psychotherapy and Psychosomatics, Medical Faculty, RWTH Aachen University, Aachen, Germany.,Institute of Neuroscience and Medicine (INM-1), Helmholtz-Gemeinschaft Deutscher Forschungszentren (HZ), Jülich, Germany
| | - Marion Grande
- Department of Neurology, Medical Faculty, RWTH Aachen University, Aachen, Germany
| | - Muna van Ermingen-Marbach
- Department of Psychiatry, Psychotherapy and Psychosomatics, Medical Faculty, RWTH Aachen University, Aachen, Germany.,Department of Neurology, Medical Faculty, RWTH Aachen University, Aachen, Germany
| | - Irene Altarelli
- Laboratory for the Psychology of Child Development and Education, CNRS UMR 8240, Université de Paris, Paris, France
| | - Karla Monzalvo
- INSERM, UMR992, CEA, NeuroSpin Center, University Paris Saclay, Gif-sur-Yvette, France
| | - Camille Michèle Williams
- Laboratoire de Sciences Cognitives et Psycholinguistique (ENS, EHESS, CNRS), Ecole Normale Supérieure, PSL University, Paris, France
| | - David Germanaud
- Neurodiderot, INSERM UMR 1141, Paris Diderot University, Paris, France.,INSERM, UMR992, CEA, NeuroSpin Center, University Paris Saclay, Gif-sur-Yvette, France.,Department of Pediatric Neurology and Metabolic Diseases, Robert Debré Hospital, APHP, Paris, France.,INSERM, CEA, UMR 1129, Sorbonne Paris Cité University (USPC), Paris, France
| | - Roberto Toro
- Human Genetics and Cognitive Functions, Institut Pasteur, Paris, France
| | - Franck Ramus
- Laboratoire de Sciences Cognitives et Psycholinguistique (ENS, EHESS, CNRS), Ecole Normale Supérieure, PSL University, Paris, France
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40
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Richlan F. The Functional Neuroanatomy of Developmental Dyslexia Across Languages and Writing Systems. Front Psychol 2020; 11:155. [PMID: 32116951 PMCID: PMC7012805 DOI: 10.3389/fpsyg.2020.00155] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2019] [Accepted: 01/21/2020] [Indexed: 01/18/2023] Open
Abstract
The present article reviews the literature on the functional neuroanatomy of developmental dyslexia across languages and writing systems. This includes comparisons of alphabetic languages differing in orthographic depth as well as comparisons across alphabetic, syllabic, and logographic writing systems. It provides a synthesis of the evidence for both universal and language-specific effects on dyslexic functional brain activation abnormalities during reading and reading-related tasks. Specifically, universal reading-related underactivation of dyslexic readers relative to typical readers is identified in core regions of the left hemisphere reading network including the occipito-temporal, temporo-parietal, and inferior frontal cortex. Orthography-specific dyslexic brain abnormalities are mainly related to the degree and spatial extent of under- and overactivation clusters. In addition, dyslexic structural gray matter abnormalities across languages and writing systems are analyzed. The neuroimaging findings are linked to the universal and orthography-dependent behavioral manifestations of developmental dyslexia. Finally, the present article provides insights into potential compensatory mechanisms that may support remediation across languages and writing systems.
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Affiliation(s)
- Fabio Richlan
- Centre for Cognitive Neuroscience, Department of Psychology, Paris Lodron University of Salzburg, Salzburg, Austria
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41
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Atypical lateralization in neurodevelopmental and psychiatric disorders: What is the role of stress? Cortex 2020; 125:215-232. [PMID: 32035318 DOI: 10.1016/j.cortex.2019.12.019] [Citation(s) in RCA: 44] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2019] [Revised: 11/07/2019] [Accepted: 12/23/2019] [Indexed: 02/08/2023]
Abstract
Hemispheric asymmetries are a major organizational principle of the human brain. In different neurodevelopmental and psychiatric disorders, like schizophrenia, autism spectrum disorders, depression, dyslexia and posttraumatic stress disorder, functional and/or structural hemispheric asymmetries are altered compared to healthy controls. The question, why these disorders all share the common characteristic of altered hemispheric asymmetries despite vastly different etiologies and symptoms remains one of the unsolved mysteries of laterality research. This review is aimed at reviewing potential reasons for why atypical lateralization is so common in many neurodevelopmental and psychiatric disorders. To this end, we review the evidence for overlaps in the genetic and non-genetic factors involved in the ontogenesis of different disorders and hemispheric asymmetries. While there is evidence for genetic overlap between different disorders, only few asymmetry-related loci have also been linked to disorders and importantly, those effects are mostly specific to single disorders. However, there is evidence for shared non-genetic influences between disorders and hemispheric asymmetries. Most neurodevelopmental and psychiatric disorders show alterations in the hypothalamic-pituitary adrenocortical (HPA) axis and maternal as well as early life stress have been implicated in their etiology. Stress has also been suggested to affect hemispheric asymmetries. We propose a model in which early life stress as well as chronic stress not only increases the risk for psychiatric and neurodevelopmental disorders but also changes structural and functional hemispheric asymmetries leading to the aberrant lateralization patterns seen in these disorders. Thus, pathology-related changes in hemispheric asymmetries are not a factor causing disorders, but rather a different phenotype that is affected by partly overlapping ontogenetic factors, primarily stress.
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42
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Cerebellar Activation During Reading Tasks: Exploring the Dichotomy Between Motor vs. Language Functions in Adults of Varying Reading Proficiency. THE CEREBELLUM 2020; 18:688-704. [PMID: 30949938 DOI: 10.1007/s12311-019-01024-6] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
The nature and extent to which the cerebellum contributes to language processing is not clear. By using fMRI to examine differences in activation intensity in areas associated with motor and language processes, we advance our understanding of how this subcortical structure contributes to language and, more specifically, reading. Functional magnetic resonance imaging data was collected from two groups of adults. One group was classified as typical (proficient) readers, and the other as atypical (less proficient) readers. fMRI was used to measure cerebellar activation during silent reading and silent rapid naming tasks, which differed in degree of language and motor/articulatory processing. Regions of interest associated with motor and language processing were examined in order to compare how cerebellar activation in typical and atypical readers differed as a function of task both within and between groups. Significant differences in activation intensity were noted between individuals of typical and atypical reading proficiency in cerebellar regions associated with motor, but not language processing, during a silent word-reading condition. Additionally, readers who were less proficient showed no differences in activation between tasks in each of the regions of interest within the cerebellum. We provide evidence that, in typical readers, the cerebellum is functionally specialized for reading tasks that vary in language and articulatory processes. In accordance with prior research, we demonstrate that less-proficient adult readers show decreased functional specialization within the cerebellum during reading tasks. We also show that regions of the cerebellum associated with motor/articulatory processing are different between typical and atypically reading adults. Finally, to our knowledge, this is the first brain-imaging study to specifically examine cerebellar activation during rapid naming tasks and we discuss the implications for these findings with regard to current theoretical models that emphasize the link between reading and speech production.
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Kibby MY, Dyer SM, Lee SE, Stacy M. Frontal volume as a potential source of the comorbidity between attention-deficit/hyperactivity disorder and reading disorders. Behav Brain Res 2020; 381:112382. [PMID: 31917238 DOI: 10.1016/j.bbr.2019.112382] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2019] [Revised: 10/28/2019] [Accepted: 11/22/2019] [Indexed: 11/28/2022]
Abstract
Prefrontal volume reductions commonly are demonstrated in ADHD, but the literature examining prefrontal volume in reading disorders (RD) is scant despite their also having executive functioning (EF) deficits. Furthermore, only a few anatomical studies have examined the frontal lobes in comorbid RD/ADHD, though they have EF deficits similar to RD and ADHD. Hence, we examined frontal gyri volume in children with RD, ADHD, RD/ADHD and controls, as well as their relationship to EF for gyri found to differ between groups. We found right inferior frontal (RIF) volume was smaller in ADHD, and smaller volume was related to worse behavioral regulation. Left superior frontal (LSF) volume was larger in RD than ADHD, and its size was negatively related to basic reading ability. Left middle frontal (LMF) volume was largest in RD/ADHD overall. Further, its volume was not related to basic reading nor behavioral regulation but was related to worse attentional control, suggesting some specificity in its EF relationship. When examining hypotheses on the etiology of RD/ADHD, RD/ADHD was commensurate with ADHD in RIF volume and both RD and ADHD in LSF volume (being midway between the groups), consistent with the common etiology hypothesis. Nevertheless, they also had an additional gyrus affected: LMF, consistent with the cognitive subtype hypothesis in its specificity to RD/ADHD. The few other frontal aMRI studies on RD/ADHD supported both hypotheses as well. Given this, future research should continue to focus on frontal morphology in its endeavors to find neurobiological contributors to the comorbidity between RD and ADHD.
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Affiliation(s)
- Michelle Y Kibby
- Southern Illinois University-Carbondale, Department of Psychology, LSII, Room 281, Carbondale, IL 62901-6502, USA.
| | - Sarah M Dyer
- Southern Illinois University-Carbondale, Department of Psychology, LSII, Room 281, Carbondale, IL 62901-6502, USA
| | - Sylvia E Lee
- Southern Illinois University-Carbondale, Department of Psychology, LSII, Room 281, Carbondale, IL 62901-6502, USA
| | - Maria Stacy
- Southern Illinois University-Carbondale, Department of Psychology, LSII, Room 281, Carbondale, IL 62901-6502, USA
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Ullman MT, Earle FS, Walenski M, Janacsek K. The Neurocognition of Developmental Disorders of Language. Annu Rev Psychol 2020; 71:389-417. [DOI: 10.1146/annurev-psych-122216-011555] [Citation(s) in RCA: 78] [Impact Index Per Article: 19.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Developmental disorders of language include developmental language disorder, dyslexia, and motor-speech disorders such as articulation disorder and stuttering. These disorders have generally been explained by accounts that focus on their behavioral rather than neural characteristics; their processing rather than learning impairments; and each disorder separately rather than together, despite their commonalities and comorbidities. Here we update and review a unifying neurocognitive account—the Procedural circuit Deficit Hypothesis (PDH). The PDH posits that abnormalities of brain structures underlying procedural memory (learning and memory that rely on the basal ganglia and associated circuitry) can explain numerous brain and behavioral characteristics across learning and processing, in multiple disorders, including both commonalities and differences. We describe procedural memory, examine its role in various aspects of language, and then present the PDH and relevant evidence across language-related disorders. The PDH has substantial explanatory power, and both basic research and translational implications.
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Affiliation(s)
- Michael T. Ullman
- Brain and Language Lab, Department of Neuroscience, Georgetown University, Washington, DC 20057, USA
| | - F. Sayako Earle
- Department of Communication Sciences and Disorders, University of Delaware, Newark, Delaware 19713, USA
| | - Matthew Walenski
- Department of Communication Sciences and Disorders, Northwestern University, Evanston, Illinois 60208, USA
| | - Karolina Janacsek
- Institute of Psychology, Eotvos Lorand University (ELTE), H-1071 Budapest, Hungary
- Brain, Memory, and Language Lab; Institute of Cognitive Neuroscience and Psychology, Research Centre for Natural Sciences, Hungarian Academy of Sciences, H-1117 Budapest, Hungary
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McGrath LM, Stoodley CJ. Are there shared neural correlates between dyslexia and ADHD? A meta-analysis of voxel-based morphometry studies. J Neurodev Disord 2019; 11:31. [PMID: 31752659 PMCID: PMC6873566 DOI: 10.1186/s11689-019-9287-8] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/19/2018] [Accepted: 10/04/2019] [Indexed: 01/18/2023] Open
Abstract
BACKGROUND Dyslexia and Attention-deficit/hyperactivity disorder (ADHD) are highly comorbid neurodevelopmental disorders (estimates of 25-40% bidirectional comorbidity). Previous work has identified strong genetic and cognitive overlap between the disorders, but neural overlap is relatively unexplored. This study is a systematic meta-analysis of existing voxel-based morphometry studies to determine whether there is any overlap in the gray matter correlates of both disorders. METHODS We conducted anatomic likelihood estimate (ALE) meta-analyses of voxel-based morphometry studies in which individuals with dyslexia (15 studies; 417 cases, 416 controls) or ADHD (22 studies; 898 cases, 763 controls) were compared to typically developing controls. We generated ALE maps for dyslexia vs. controls and ADHD vs. controls using more conservative (p < .001, k = 50) and more lenient (p < .005, k = 50) thresholds. To determine the overlap of gray matter correlates of dyslexia and ADHD, we examined the statistical conjunction between the ALE maps for dyslexia vs. controls and ADHD vs. controls (false discovery rate [FDR] p < .05, k = 50, 5000 permutations). RESULTS Results showed largely distinct gray matter differences associated with dyslexia and ADHD. There was no evidence of statistically significant gray matter overlap at our conservative threshold, and only one region of overlap in the right caudate at our more lenient threshold. Reduced gray matter in the right caudate may be relevant to shared cognitive correlates in executive functioning and/or procedural learning. The more general finding of largely distinct regional differences in gray matter between dyslexia and ADHD suggests that other neuroimaging modalities may be more sensitive to overlapping neural correlates, and that current neuroimaging recruitment approaches may be hindering progress toward uncovering neural systems associated with comorbidity. CONCLUSIONS The current study is the first to meta-analyze overlap between gray matter differences in dyslexia and ADHD, which is a critical step toward constructing a multi-level understanding of this comorbidity that spans the genetic, neural, and cognitive levels of analysis.
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Affiliation(s)
- Lauren M. McGrath
- Department of Psychology, University of Denver, Frontier Hall, 2155 S. Race St., Denver, CO 80208 USA
| | - Catherine J. Stoodley
- Department of Psychology and Center for Behavioral Neuroscience, American University, Washington, DC USA
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Beelen C, Vanderauwera J, Wouters J, Vandermosten M, Ghesquière P. Atypical gray matter in children with dyslexia before the onset of reading instruction. Cortex 2019; 121:399-413. [PMID: 31704534 DOI: 10.1016/j.cortex.2019.09.010] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2018] [Revised: 07/01/2019] [Accepted: 09/16/2019] [Indexed: 11/16/2022]
Abstract
Many studies have focused on neuroanatomical anomalies in dyslexia, yet primarily in school-aged children and adults. In the present study, we investigated gray matter surface area and cortical thickness at the pre-reading stage in a cohort of 54 children, 31 with a family risk for dyslexia and 23 without a family risk for dyslexia, of whom 16 children developed dyslexia. Surface-based analyses in the core regions of the reading network in the left hemisphere and in the corresponding right hemispheric regions were performed in FreeSurfer. Results revealed that pre-readers who develop dyslexia show reduced surface area in bilateral fusiform gyri. In addition, anomalies related to a family risk for dyslexia, irrespectively of later reading ability, were observed in the area of the bilateral inferior and middle temporal gyri. Differences were apparent in surface area, as opposed to cortical thickness. Results indicate that the neuroanatomical anomalies, since they are observed in the pre-reading phase, are not the consequence of impoverished reading experience.
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Affiliation(s)
- Caroline Beelen
- Parenting & Special Education Research Unit, Faculty of Psychology & Educational Sciences, KU Leuven, Belgium
| | - Jolijn Vanderauwera
- Parenting & Special Education Research Unit, Faculty of Psychology & Educational Sciences, KU Leuven, Belgium; Research Group ExpORL, Department of Neurosciences, KU Leuven, Belgium
| | - Jan Wouters
- Research Group ExpORL, Department of Neurosciences, KU Leuven, Belgium
| | | | - Pol Ghesquière
- Parenting & Special Education Research Unit, Faculty of Psychology & Educational Sciences, KU Leuven, Belgium
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Eckert MA, Vaden KI. A deformation-based approach for characterizing brain asymmetries at different spatial scales of resolution. J Neurosci Methods 2019; 322:1-9. [PMID: 30998943 DOI: 10.1016/j.jneumeth.2019.04.007] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2019] [Revised: 03/19/2019] [Accepted: 04/12/2019] [Indexed: 10/27/2022]
Abstract
BACKGROUND Structural cerebral asymmetries are hypothesized to provide an architectural foundation for functional asymmetries and behavioral lateralities. Studies of structural asymmetries typically focus on gray matter measures that are influenced by gross deformation fields used for normalization, and thus characterize a combination of different morphologic influences on structural asymmetries. NEW METHOD A deformation-based morphometry approach was developed to characterize structural asymmetries at different spatial scales of resolution, which can provide relatively more specific inference about the morphologic reason(s) for structural asymmetries, using a dataset of 347 typically developing children (7.00-12.92 years). RESULTS Significant structural asymmetries were observed for a larger lobar spatial scale (e.g., frontal petalia) and for a smaller gyral/sulcal spatial scale of resolution (e.g., marginal sulcus). Total intracranial volume was significantly associated with asymmetries at the larger spatial scale of normalization, while age was significantly associated with asymmetries at the smaller scale of normalization. There were no significant anti- or fluctuating asymmetry effects based on Hartigan Dip Tests and Bonnett Tests, respectively. COMPARISON WITH EXISTING METHOD(S) While spatially similar asymmetries were observed in both gray matter and deformation field data (e.g., medial planum temporale/Heschl's gyrus), the deformation approach characterizes asymmetries based on three iterations of successively smaller scales of normalization. CONCLUSIONS Structural asymmetries can be identified in normalization deformations with a procedure that is tailored for sensitivity to structures at different spatial scales of resolution where there may be different mechanisms for the expression of asymmetry.
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Affiliation(s)
- Mark A Eckert
- Department of Otolaryngology - Head and Neck Surgery, Medical University of South Carolina, Charleston, S.C., 29412, United States.
| | - Kenneth I Vaden
- Department of Otolaryngology - Head and Neck Surgery, Medical University of South Carolina, Charleston, S.C., 29412, United States
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- Department of Otolaryngology - Head and Neck Surgery, Medical University of South Carolina, Charleston, S.C., 29412, United States
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Moreau D, Wiebels K, Wilson AJ, Waldie KE. Volumetric and surface characteristics of gray matter in adult dyslexia and dyscalculia. Neuropsychologia 2019; 127:204-210. [PMID: 30738813 DOI: 10.1016/j.neuropsychologia.2019.02.002] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2018] [Revised: 02/04/2019] [Accepted: 02/04/2019] [Indexed: 01/18/2023]
Abstract
Dyslexia, dyscalculia and their comorbid manifestation are prevalent disorders associated with well-documented behavioral manifestations. However, attempts to relate these manifestations to abnormalities in brain structure have yielded mixed results, with no clear consistency across a range of measures. In this study, we used a unique design including adults with dyslexia, dyscalculia, both disorders and controls, to explore differences in gray matter characteristics across groups. Specifically, we examined whether dyslexia, dyscalculia, or their comorbid manifestation could be related to volumetric and surface characteristics of gray matter, using voxel-based and surface-based morphometry. We demonstrate with Bayesian analyses that the present data favor the null model of no differences between groups across the brain, a result that is in line with recent findings in this field of research. Importantly, we provide detailed statistical maps to enable robust assessment of our findings, and to promote cumulative evaluation of the evidence. Together, these findings suggest that gray matter differences associated with dyslexia and dyscalculia might not be as reliable as suggested by previous literature, with important implications for our understanding of these disorders.
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Affiliation(s)
- David Moreau
- School of Psychology and Centre for Brain Research, University of Auckland, New Zealand.
| | - Kristina Wiebels
- School of Psychology and Centre for Brain Research, University of Auckland, New Zealand
| | - Anna J Wilson
- Department of Psychology, University of Canterbury, New Zealand
| | - Karen E Waldie
- School of Psychology and Centre for Brain Research, University of Auckland, New Zealand
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Richlan F. The Functional Neuroanatomy of Letter-Speech Sound Integration and Its Relation to Brain Abnormalities in Developmental Dyslexia. Front Hum Neurosci 2019; 13:21. [PMID: 30774591 PMCID: PMC6367238 DOI: 10.3389/fnhum.2019.00021] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2018] [Accepted: 01/18/2019] [Indexed: 01/20/2023] Open
Abstract
This mini-review provides a comparison of the brain systems associated with developmental dyslexia and the brain systems associated with letter-speech sound (LSS) integration. First, the findings on the functional neuroanatomy of LSS integration are summarized in order to obtain a comprehensive overview of the brain regions involved in this process. To this end, neurocognitive studies investigating LSS integration in both normal and abnormal reading development are taken into account. The neurobiological basis underlying LSS integration is consequently compared with existing neurocognitive models of functional and structural brain abnormalities in developmental dyslexia-focusing on superior temporal and occipito-temporal (OT) key regions. Ultimately, the commonalities and differences between the brain systems engaged by LSS integration and the brain systems identified with abnormalities in developmental dyslexia are investigated. This comparison will add to our understanding of the relation between LSS integration and normal and abnormal reading development.
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Affiliation(s)
- Fabio Richlan
- Centre for Cognitive Neuroscience and Department of Psychology, University of Salzburg, Salzburg, Austria
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Reduced Structural Connectivity Between Left Auditory Thalamus and the Motion-Sensitive Planum Temporale in Developmental Dyslexia. J Neurosci 2019; 39:1720-1732. [PMID: 30643025 DOI: 10.1523/jneurosci.1435-18.2018] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2018] [Revised: 11/02/2018] [Accepted: 11/25/2018] [Indexed: 02/07/2023] Open
Abstract
Developmental dyslexia is characterized by the inability to acquire typical reading and writing skills. Dyslexia has been frequently linked to cerebral cortex alterations; however, recent evidence also points toward sensory thalamus dysfunctions: dyslexics showed reduced responses in the left auditory thalamus (medial geniculate body, MGB) during speech processing in contrast to neurotypical readers. In addition, in the visual modality, dyslexics have reduced structural connectivity between the left visual thalamus (lateral geniculate nucleus, LGN) and V5/MT, a cerebral cortex region involved in visual movement processing. Higher LGN-V5/MT connectivity in dyslexics was associated with the faster rapid naming of letters and numbers (RANln), a measure that is highly correlated with reading proficiency. Here, we tested two hypotheses that were directly derived from these previous findings. First, we tested the hypothesis that dyslexics have reduced structural connectivity between the left MGB and the auditory-motion-sensitive part of the left planum temporale (mPT). Second, we hypothesized that the amount of left mPT-MGB connectivity correlates with dyslexics RANln scores. Using diffusion tensor imaging-based probabilistic tracking, we show that male adults with developmental dyslexia have reduced structural connectivity between the left MGB and the left mPT, confirming the first hypothesis. Stronger left mPT-MGB connectivity was not associated with faster RANln scores in dyslexics, but was in neurotypical readers. Our findings provide the first evidence that reduced cortico-thalamic connectivity in the auditory modality is a feature of developmental dyslexia and it may also affect reading-related cognitive abilities in neurotypical readers.SIGNIFICANCE STATEMENT Developmental dyslexia is one of the most widespread learning disabilities. Although previous neuroimaging research mainly focused on pathomechanisms of dyslexia at the cerebral cortex level, several lines of evidence suggest an atypical functioning of subcortical sensory structures. By means of diffusion tensor imaging, we here show that dyslexic male adults have reduced white matter connectivity in a cortico-thalamic auditory pathway between the left auditory motion-sensitive planum temporale and the left medial geniculate body. Connectivity strength of this pathway was associated with measures of reading fluency in neurotypical readers. This is novel evidence on the neurocognitive correlates of reading proficiency, highlighting the importance of cortico-subcortical interactions between regions involved in the processing of spectrotemporally complex sound.
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