White Matter Morphometric Changes Uniquely Predict Children’s Reading Acquisition

Myers, Chelsea A.; Vandermosten, Maaike; Farris, Emily A.; Hancock, Roeland; Gimenez, Paul; Black, Jessica M.; Casto, Brandi; Drahos, Miroslav; Tumber, Mandeep; Hendren, Robert L.; Hulme, Charles; Hoeft, Fumiko

doi:10.1177/0956797614544511

Cited by 105 publications

(93 citation statements)

References 44 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Another study also reported significantly predicting ASD symptom severity using rs-fcMRI, but they did not report the amount of variance explained by their models (43). Previous studies with other populations, including individuals with depression (26), dyslexia (27), alcoholism (28), and academic difficulties (29,30), have further shown that brainbased features can add additional predictive power to behavioral measures. For example, using a similar cross-validation procedure, Supekar et al (29) were able to predict individuals' responses to math tutoring above and beyond the variance explained by behavior using structural and functional MRI data collected before tutoring.…”

Section: Discussionmentioning

confidence: 93%

“…Hippocampal gray matter volume predicted 20.25% of the variance in individuals' math improvement, and connectivity between the basal ganglia and hippocampus predicted 56.25% of the variance. Myers et al (30) found that white matter morphometry, in conjunction with baseline behavioral measures, predicted 56% of the variance in reading impairment at a later date.…”

Section: Discussionmentioning

confidence: 99%

“…One previous study has shown that combining functional MRI (fMRI) data with behavioral data increased predictive power for categorical language outcomes in early developing ASD (25). Brain-derived data has also added explanatory power to predictive models of depression (26), dyslexia (27), alcoholism (28), and reading and math ability (29,30).…”

mentioning

confidence: 99%

See 2 more Smart Citations

Resting-state functional connectivity predicts longitudinal change in autistic traits and adaptive functioning in autism

Plitt

Barnes

Wallace

et al. 2015

Proc. Natl. Acad. Sci. U.S.A.

View full text Add to dashboard Cite

Although typically identified in early childhood, the social communication symptoms and adaptive behavior deficits that are characteristic of autism spectrum disorder (ASD) persist throughout the lifespan. Despite this persistence, even individuals without cooccurring intellectual disability show substantial heterogeneity in outcomes. Previous studies have found various behavioral assessments [such as intelligence quotient (IQ), early language ability, and baseline autistic traits and adaptive behavior scores] to be predictive of outcome, but most of the variance in functioning remains unexplained by such factors. In this study, we investigated to what extent functional brain connectivity measures obtained from resting-state functional connectivity MRI (rs-fcMRI) could predict the variance left unexplained by age and behavior (follow-up latency and baseline autistic traits and adaptive behavior scores) in two measures of outcome-adaptive behaviors and autistic traits at least 1 y postscan (mean follow-up latency = 2 y, 10 mo). We found that connectivity involving the so-called salience network (SN), default-mode network (DMN), and frontoparietal task control network (FPTCN) was highly predictive of future autistic traits and the change in autistic traits and adaptive behavior over the same time period. Furthermore, functional connectivity involving the SN, which is predominantly composed of the anterior insula and the dorsal anterior cingulate, predicted reliable improvement in adaptive behaviors with 100% sensitivity and 70.59% precision. From rs-fcMRI data, our study successfully predicted heterogeneity in outcomes for individuals with ASD that was unaccounted for by simple behavioral metrics and provides unique evidence for networks underlying long-term symptom abatement.rs-fMRI | autism | machine learning | ASD | adaptive behavior A lthough typically identified in childhood, the social communication symptoms that are characteristic of autism spectrum disorder (ASD) persist throughout the lifespan (1, 2). On average, individuals with ASD show smaller age-related improvements in adaptive behaviors, including daily living skills critical for independent living, than do typically developing (TD) peers (2-4). The burden of prolonged clinical symptom expression, coupled with limited adaptive behaviors, leads to a relatively poor prognosis for a majority of adults with ASD. For example, only 12% of adults with ASD achieve "very good" outcomes, defined by a high level of independence (5). Adolescence and young adulthood are poorly understood in ASD. Although there seems to be a great deal of change during this time, the nature of this change varies across studies, with a handful of studies reporting a decline in functioning (2, 3, 6), others reporting general improvement (7, 8), and still others reporting a quadratic course of autistic symptoms and adaptive functioning where the trajectory peaks in late adolescence (9) or the late 20s (10) and begins to fall subsequently.Predictors of positive outcomes in ASD includ...

show abstract

Section: Discussionmentioning

confidence: 93%

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Resting-state functional connectivity predicts longitudinal change in autistic traits and adaptive functioning in autism

Plitt

Barnes

Wallace

et al. 2015

Proc. Natl. Acad. Sci. U.S.A.

View full text Add to dashboard Cite

show abstract

“…Furthermore, in a sample of 58 children between ages 5-9, white matter volume changes within the left arcuate fasciculus predict reading outcomes during the developmental period when children become fluent readers [46]. Similarly, the volume of the left arcuate fasciculus and superior corona radiata assessed in 38 children between five-and six-years predicted third grade reading abilities [47].…”

Section: The Role Of the Arcuate Fasciculus In Reading And Developmenmentioning

confidence: 95%

Predicting Developmental Dyslexia: A Brief Review of Genetics, Language and the Brain

Figuccio¹

2017

J Child Dev Disord

View full text Add to dashboard Cite

Learning to read is an essential life skill, yet many children struggle and may even fail to learn to read. Developmental dyslexia (DD) is a specific learning disorder characterized by deficits in reading and reading-related tasks. Even though early intervention is crucial for successful remediation, many children do not receive a diagnosis until second grade or later. Research has shown high heritability of DD. Additionally, a link has been established between early language abilities and the development of reading skills. Moreover, individuals with DD display differences in neural structures implicated in reading even prior to learning to read compared to their typically developing peers. The aim of this review is to identify genetic, language, and brain predictors of reading.

show abstract

“…Notably, white matter is highly plastic during development including the school years where there is age-related maturation [8] and changes in response to genetic and experiential factors [9]. One of the experiential factors that are shown to impact white-matter maturation is the process of reading acquisition [10][11][12]. The goal of the current paper is to examine the developmental progression of white-matter pathways as they are related to reading stages associated with reading acquisition (i.e., 3-6 year olds), reading refinement (6-14 years), and reading maintenance (14-21 year olds).…”

mentioning

confidence: 99%

The Relationship between White Matter and Reading Acquisition, Refinement and Maintenance

Cheema

Cummine

Study³

2018

Dev Neurosci

View full text Add to dashboard Cite

Reading requires efficient communication between brain regions that are situated all over the cortex. These brain areas are structurally connected by white-matter pathways that develop over the period of reading acquisition. Here, we conducted a cross-sectional study to assess the relationship between white-matter tracts and reading performance across the lifespan. Methods: Behavioral (reading performance) and neuroimaging (diffusion tensor imaging [DTI]) data were collected from participants aged 3–21 years as a part of the multi-site project called the pediatric imaging neurocognition genetics study. DTI measures (fractional anisotropy [FA], mean diffusivity, radial diffusivity and axial diffusivity) of bilateral dorsal tracts (arcuate fasciculus, superior longitudinal fasciculus, and posterior superior longitudinal fasciculus) and ventral tracts (uncinate fasciculus, inferior fronto-occipital fasciculus, and inferior longitudinal fasciculus) were extracted. Reading performance was calculated as the number of items correctly read (words for older children and letters in the case of young children). Correlational and regression analyses were conducted between the DTI measures and reading scores. Results: During the early stages of reading acquisition (ages 3–6), the dorsal tracts were positively related to reading performance (as FA goes up, reading performance goes up). For ages 6–10, the dorsal tracts remain positively associated with reading performance and a relationship between ventral tracts and reading performance emerges. From the age of 10 onwards, the dorsal tracts no longer correlate with reading performance, and a brain-behavior relationship in the right ventral tracts begins to shift, whereby higher FA is associated with lower reading performance. In addition to the involvement of left hemispheric tracts, this study revealed the initial engagement of right hemispheric tracts during the early stages of reading acquisition. Conclusion: We discuss these different associations of white-matter tracts with reading during development in the context of the biological processes model of myelination and pruning.

show abstract

White Matter Morphometric Changes Uniquely Predict Children’s Reading Acquisition

Cited by 105 publications

References 44 publications

Resting-state functional connectivity predicts longitudinal change in autistic traits and adaptive functioning in autism

Resting-state functional connectivity predicts longitudinal change in autistic traits and adaptive functioning in autism

Predicting Developmental Dyslexia: A Brief Review of Genetics, Language and the Brain

The Relationship between White Matter and Reading Acquisition, Refinement and Maintenance

Contact Info

Product

Resources

About