Biomedical subjects

Virginia W Berninger

Publications and source records attributed to Virginia W Berninger.

16 recordsLinked to original sources

PubMed2006

Low-frequency signal changes reflect differences in functional connectivity between good readers and dyslexics during continuous phoneme mapping.

The current fMRI study investigated correlations of low-frequency signal changes in the left inferior frontal gyrus, right inferior frontal gyrus and cerebellum in 13 adult dyslexic and 10 normal readers to examine functional networks associated with these regions. The extent of these networks to regions associated with phonological processing (frontal gyrus, occipital gyrus, angular gyrus, inferior temporal gyrus, fusiform gyrus, supramarginal gyrus and cerebellum) was compared between good and dyslexic readers. Analysis of correlations in low-frequency range showed that regions known to activate during an "on-off" phoneme-mapping task exhibit synchronous signal changes when the task is administered continuously (without any "off" periods). Results showed that three functional networks, which were defined on the basis of documented structural deficits in dyslexics and included regions associated with phonological processing, differed significantly in spatial extent between good readers and dyslexics. The methodological, theoretical and clinical significance of the findings for advancing fMRI research and knowledge of dyslexia are discussed.

Adult↗

PubMed2006

Genomewide scan for real-word reading subphenotypes of dyslexia: novel chromosome 13 locus and genetic complexity.

Dyslexia is a common learning disability exhibited as a delay in acquiring reading skills despite adequate intelligence and instruction. Reading single real words (real-word reading, RWR) is especially impaired in many dyslexics. We performed a genome scan, using variance components (VC) linkage analysis and Bayesian Markov chain Monte Carlo (MCMC) joint segregation and linkage analysis, for three quantitative measures of RWR in 108 multigenerational families, with follow up of the strongest signals with parametric LOD score analyses. We used single-word reading efficiency (SWE) to assess speed and accuracy of RWR, and word identification (WID) to assess accuracy alone. Adjusting SWE for WID provided a third measure of RWR efficiency. All three methods of analysis identified a strong linkage signal for SWE on chromosome 13q. Based on multipoint analysis with 13 markers we obtained a MCMC intensity ratio (IR) of 53.2 (chromosome-wide P < 0.004), a VC LOD score of 2.29, and a parametric LOD score of 2.94, based on a quantitative-trait model from MCMC segregation analysis (SA). A weaker signal for SWE on chromosome 2q occurred in the same location as a significant linkage peak seen previously in a scan for phonological decoding. MCMC oligogenic SA identified three models of transmission for WID, which could be assigned to two distinct linkage peaks on chromosomes 12 and 15. Taken together, these results indicate a locus for efficiency and accuracy of RWR on chromosome 13, and a complex model for inheritance of RWR accuracy with loci on chromosomes 12 and 15.

Adolescent↗

PubMed2006

Effects of prior attention training on child dyslexics' response to composition instruction.

Twenty children (Grades 4 to 6) who met research criteria for dyslexia were randomly assigned to a treatment (attention training) or contact control (reading fluency training) group during their regular language arts block at a school that had emphasized multisensory, structured language treatment for reading disability. A university team provided either individual attention training (sustained, selective, alternating, and divided attention) or reading fluency training during the first 10 sessions and group composition instruction during the next 10 sessions. Analysis of variance evaluated the significance of Treatment x Session interactions from pretest to midtest (before composition instruction began) and midtest to posttest (when compositon instruction ends). Treatment x Time interactions were not significant between pretest and midtest, but the Treatment x Time interactions were significant from midtest to posttest for Wechsler Individual Achievement Test, Second Edition Written Composition and Delis-Kaplan Executive Function System Verbal Fluency (attention treatment group improved more over time). Individual children showed the same pattern as group results. For child dyslexics in upper elementary school, attention training did not transfer directly to improved composition but prior attention training led to faster improvement in composing and oral verbal fluency once composition instruction was introduced. Effective instruction for dyslexia may depend on the sequencing as well as the nature of instructional components and require specialized instruction for writing as well as reading.

Achievement↗

PubMed2006

Dimensions of good and poor handwriting legibility in first and second graders: motor programs, visual-spatial arrangement, and letter formation parameter setting.

First and second graders who were good and poor handwriters completed three writing tasks: writing letters of alphabet in order from memory, letter copying in a passage, and composing on provided topics. A coding scheme was used to evaluate these dimensions of legibility: spacing between words and between letters within words, alignment (letter placement on lines), letter height, letter slant, reversals, added strokes, missing strokes, and missing letters. Although results were somewhat task dependent, most differences between good and poor handwriters involved poor handwriters generating more letters with added strokes, producing smaller letters, and exhibiting more variability in spacing and alignment. The good and poor handwriters did not differ on average performance in alignment of words on the baseline or in spacing of letters within words and spacing between words. Each of three dimensions of handwriting contributed uniquely to the handwriting of first and second graders: motor programs, visual-spatial arrangement on the written page, and letter formation parameter setting.

Chi-Square Distribution↗

PubMed2006

Early development of language by hand: composing, reading, listening, and speaking connections; three letter-writing modes; and fast mapping in spelling.

The first findings from a 5-year, overlapping-cohorts longitudinal study of typical language development are reported for (a) the interrelationships among Language by Ear (listening), Mouth (speaking), Eye (reading), and Hand (writing) in Cohort 1 in 1st and 3rd grade and Cohort 2 in 3rd and 5th grade; (b) the interrelationships among three modes of Language by Hand (writing manuscript letters with pen and keyboard and cursive letters with pen) in each cohort in the same grade levels as (a); and (c) the ability of the 1st graders in Cohort 1 and the 3rd graders in Cohort 2 to apply fast mapping in learning to spell pseudowords. Results showed that individual differences in Listening Comprehension, Oral Expression, Reading Comprehension, and Written Expression are stable developmentally, but each functional language system is only moderately correlated with the others. Likewise, manuscript writing, cursive writing, and keyboarding are only moderately correlated, and each has a different set of unique neuropsychological predictors depending on outcome measure and grade level. Results support the use of the following neuropsychological measures in assessing handwriting modes: orthographic coding, rapid automatic naming, finger succession (grapho-motor planning for sequential finger movements), inhibition, inhibition/switching, and phonemes skills (which may facilitate transfer of abstract letter identities across letter formats and modes of production). Both 1st and 3rd graders showed evidence of fast mapping of novel spoken word forms onto written word forms over 3 brief sessions (2 of which involved teaching) embedded in the assessment battery; and this fast mapping explained unique variance in their spelling achievement over and beyond their orthographic and phonological coding abilities and correlated significantly with current and next-year spelling achievement.

Age Factors↗

PubMed2006

Executive functions in becoming writing readers and reading writers: note taking and report writing in third and fifth graders.

Results are reported for a study of 2 separate processes of report writing-taking notes while reading source material and composing a report from those notes-and related individual differences in executive functions involved in integrating reading and writing during these writing activities. Third graders (n = 122) and 5th graders (n = 106; overall, 127 girls and 114 boys) completed two reading-writing tasks-read paragraph (mock science text)-write notes and use notes to generate written report, a reading comprehension test, a written expression test, four tests of executive functions (inhibition, verbal fluency, planning, switching attention), and a working memory test. For the read-take notes task, the same combination of variables was best (explained the most variance and each variable added unique variance) for 3rd graders and 5th graders: Wechsler Individual Achievement Test-Second Edition (WIAT-II) Reading Comprehension, Process Assessment of the Learner Test for Reading and Writing (PAL) Copy Task B, WIAT-II Written Expression, and Delis-Kaplan Executive Function System (D-KEFS) Inhibition. For the use notes to write report task, the best combinations of variables depended on grade level: For 3rd graders, WIAT-II Reading Comprehension, WIAT-II Written Expression, D-KEFS Verbal Fluency, and Tower of Hanoi; for 5th graders, WIAT-II Reading Comprehension, D-KEFS Verbal Fluency, WIAT-II Written Expression, and PAL Alphabet Task. These results add to prior research findings that executive functions contribute to the writing development of elementary-grade students and additionally support the hypothesis that executive functions play a role in developing reading-writing connections.

Analysis of Variance↗

PubMed2006

Converging evidence for triple word form theory in children with dyslexia.

This article has 3 parts. The 1st part provides an overview of the family genetics, brain imaging, and treatment research in the University of Washington Multidisciplinary Learning Disabilities Center (UWLDC) over the past decade that points to a probable genetic basis for the unusual difficulty that individuals with dyslexia encounter in learning to read and spell. Phenotyping studies have found evidence that phonological, orthographic, and morphological word forms and their parts may contribute uniquely to this difficulty. At the same time, reviews of treatment studies in the UWLDC (which focused on children in Grades 4 to 6) and other research centers provide evidence for the plasticity of the brain in individuals with dyslexia. The 2nd part reports 4 sets of results that extend previously published findings based on group analyses to those based on analyses of individual brains and that support triple word form awareness and mapping theory: (a) distinct brain signatures for the phonological, morphological, and orthographic word forms; (b) crossover effects between phonological and morphological treatments and functional magentic resonance imaging (fMRI) tasks in response to instruction, suggestive of cross-word form computational and mapping processes; (c) crossover effects between behavioral measures of phonology or morphology and changes in fMRI activation following treatment; and (d) change in the relationship between structural MRI and functional magnetic resonance spectroscopy (fMRS) lactate activation in right and left inferior frontal gyri following treatment emphasizing the phonological, morphological, and orthographic word forms. In the 3rd part we discuss the next steps in this programmatic research to move beyond word form alone.

Brain Mapping↗

PubMed2004

Linkage analyses of four regions previously implicated in dyslexia: confirmation of a locus on chromosome 15q.

Dyslexia is a common, complex disorder, which is thought to have a genetic component. There have been numerous reports of linkage to several regions of the genome for dyslexia and continuous dyslexia-related phenotypes. We attempted to confirm linkage of continuous measures of (1) accuracy and efficiency of phonological decoding; and (2) accuracy of single word reading (WID) to regions on chromosomes 2p, 6p, 15q, and 18p, using 111 families with a total of 898 members. We used both single-marker and multipoint variance components linkage analysis and Markov Chain Monte Carlo (MCMC) joint segregation and linkage analysis for initial inspection of these regions. Positive results were followed with traditional parametric lod score analysis using a model estimated by MCMC segregation analysis. No positive linkage signals were found on chromosomes 2p, 6p, or 18p. Evidence of linkage of WID to chromosome 15q was found with both methods of analysis. The maximum single-marker parametric lod score of 2.34 was obtained at a distance of 3 cM from D15S143. Multipoint analyses localized the putative susceptibility gene to the interval between markers GATA50C03 and D15S143, which falls between a region implicated in a recent genome screen for attention-deficit/hyperactivity disorder, and DYX1C1, a candidate gene for dyslexia. This apparent multiplicity of linkage signals in the region for developmental disorders may be the result of errors in map and/or model specification obscuring the pleiotropic effect of a single gene on different phenotypes, or it may reflect the presence of multiple genes.

Chromosomes, Human, Pair 15↗

PubMed2003

Segregation analysis of phenotypic components of learning disabilities. II. Phonological decoding.

Dyslexia is a common, complex disorder, which is thought to have a genetic component. The study of the genetics of dyslexia is complicated by a lack of consensus on diagnostic criteria, and the probability of genetic heterogeneity-it is possible that deficits in different language processes are caused by different underlying genes. In order to address these difficulties, we study continuous phenotypes that are part of the psychometric test batteries often used to diagnose dyslexia. Prior to embarking on a linkage study, it is helpful to employ segregation analysis, both to identify phenotypes that may be amenable to mapping by linkage analysis, and to determine the best models to use for model based analyses. We study 409 people in 102 nuclear families, and employ (1) oligogenic segregation analysis to estimate the number of quantitative trait loci (QTLs) contributing to each phenotype, and (2) complex segregation analysis in order to identify the most parsimonious inheritance model. In this paper, we consider two measures of phonological decoding ability-word attack and phonemic decoding efficiency. We find evidence for one or two genes of at least modest effect contributing to phonemic decoding efficiency, and the best fitting model is a dominant major gene model with residual familial correlations. For word attack, we find evidence for one or two genes of at least modest effect, and the variation in the trait is best explained by a polygenic model.

Data Interpretation, Statistical↗

PubMed2003

Anatomical correlates of dyslexia: frontal and cerebellar findings.

In this study, we examined the neuroanatomy of dyslexic (14 males, four females) and control (19 males, 13 females) children in grades 4-6 from a family genetics study. The dyslexics had specific deficits in word reading relative to the population mean and verbal IQ, but did not have primary language or motor deficits. Measurements of the posterior temporal lobe, inferior frontal gyrus, cerebellum and whole brain were collected from MRI scans. The dyslexics exhibited significantly smaller right anterior lobes of the cerebellum, pars triangularis bilaterally, and brain volume. Measures of the right cerebellar anterior lobe and the left and right pars triangularis correctly classified 72% of the dyslexic subjects (94% of whom had a rapid automatic naming deficit) and 88% of the controls. The cerebellar anterior lobe and pars triangularis made significant contributions to the classification of subjects after controlling for brain volume. Correlational analyses showed that these neuroanatomical measurements were also significantly correlated with reading, spelling and language measures related to dyslexia. Age was not related to any anatomical variable. Results for the dyslexic children from the family genetics study are discussed with reference to dyslexic adults from a prior study, who were ascertained on the basis of a discrepancy between phonological coding and reading comprehension. The volume of the right anterior lobe of the cerebellum distinguished dyslexic from control participants in both studies. The cerebellum is one of the most consistent locations for structural differences between dyslexic and control participants in imaging studies. This study may be the first to show that anomalies in a cerebellar-frontal circuit are associated with rapid automatic naming and the double-deficit subtype of dyslexia.

Adolescent↗

PubMed2002

Familial aggregation of dyslexia phenotypes. II: paired correlated measures.

Dyslexia is a common and complex behavioral disorder characterized by unexpected difficulty in learning to read. Psychometric measures used to assess dyslexia often evaluate overlapping processes or abilities. To identify subphenotypes amenable to model-based linkage analyses, we have used careful language phenotyping, familial aggregation analyses of single phenotype measures, and segregation analyses. In the current study, to identify covariates to use in future segregation analyses we examined six pairs of related measures selected from among the most promising candidates in the initial aggregation analyses whose aggregation patterns were most consistent with a genetic basis. For these reciprocal aggregation analyses each measure is evaluated with the paired measure as the covariate to obtain information about the interdependence of the paired measures on shared genetic factors. Six pairs of measures were evaluated: 1) accuracy and efficiency of phonological decoding; 2) phonological nonword memory and written spelling; 3) phonological decoding accuracy and written spelling; 4) inattention ratings and rapid automatized naming for switching letters and numerals (RAS); 5) inattention ratings and oral reading rate; and 6) RAS and oral reading rate. Results of these analyses provide evidence that there may be a genetic contribution to efficiency of phonological decoding in addition to the genetic contribution it shares with accuracy of phonological decoding, a genetic contribution to phonological nonword memory in addition to the genetic contribution it shares with written spelling, a genetic contribution to written spelling in addition to the genetic contribution it shares with accuracy of phonological decoding, and a genetic contribution to inattention ratings in addition to the genetic contribution it shares with either RAS or oral reading rate.

Child↗

PubMedDate not supplied

Writing and reading: connections between language by hand and language by eye.

Four approaches to the investigation of connections between language by hand and language by eye are described and illustrated with studies from a decade-long research program. In the first approach, multigroup structural equation modeling is applied to reading and writing measures given to typically developing writers to examine unidirectional and bidirectional relationships between specific components of the reading and writing systems. In the second approach, structural equation modeling is applied to a multivariate set of language measures given to children and adults with reading and writing disabilities to examine how the same set of language processes is orchestrated differently to accomplish specific reading or writing goals, and correlations between factors are evaluated to examine the level at which the language-by-hand system and the language-by-eye system communicate most easily. In the third approach, mode of instruction and mode of response are systematically varied in evaluating effectiveness of treating reading disability with and without a writing component. In the fourth approach, functional brain imaging is used to investigate residual spelling problems in students whose problems with word decoding have been remediated. The four approaches support a model in which language by hand and language by eye are separate systems that interact in predictable ways.

Adult↗

PubMedDate not supplied

Predicting response to early reading intervention from verbal IQ, reading-related language abilities, attention ratings, and verbal IQ-word reading discrepancy: failure to validate discrepancy method.

Additional analyses of a previously published study addressed three questions about growth in word reading during early reading intervention: (1) How well do Verbal IQ, reading-related language abilities (phonological, rapid naming, and orthographic), and attention ratings predict reading growth? (2) How well do language deficits predict reading growth? and (3) How well does Verbal IQ-word reading discrepancy predict reading growth? Univariate analyses showed that Verbal IQ, phonological skills, orthographic skills, rapid automatized naming (RAN), and attention ratings predicted the response to early intervention, but multivariate analyses based on a combination of predictors for real-word reading and pseudoword reading showed that Verbal IQ was not the best unique predictor. Students with double or triple deficits in language skills (RAN, phonological, and orthographic processing) responded more slowly to early intervention than students without language deficits. Verbal IQ-word reading discrepancy did not predict the response to early intervention in reading. Overall results supported the use of reading-related language and attention measures rather than IQ-achievement discrepancy in identifying candidates for early reading intervention.

Attention↗

PubMedDate not supplied

School evolution: scientist-practitioner educators creating optimal learning environments for all students.

Similarities and differences between discursive practitioners and scientist-practitioners are discussed in reference to a variety of issues. The scientist-practitioner's approach to generating and evaluating new knowledge is illustrated with two partnerships: (a) between the University of Washington Multidisciplinary Learning Disability Center and a school district (at-risk first graders in the Los Angeles Unified School District) and (b) between the University of Washington Literacy Trek Project and a local school (at-risk second graders in Seattle public schools). Both partnerships involved mostly children who were English language learners. These partnerships also illustrated how Vygotsky's approach to fostering cognitive development through social interaction can be integrated with that of his pupil Luria, who assessed the neuropsychological processes of the individual mind/brain. The most effective instruction for school-age children, who exhibit biological and cultural diversity, takes into account individual and social-cultural variables.

Biomedical Research↗

PubMedDate not supplied

Paths to reading comprehension in at-risk second-grade readers.

Two studies of second graders at risk for reading disability, which were guided by levels of language and functional reading system theory, focused on reading comprehension in this population. In Study 1 (n = 96), confirmatory factor analysis of five comprehension measures loaded on one factor in both fall and spring of second grade. Phonological decoding predicted accuracy of real-word reading; automatic letter naming predicted rate of real-word reading; accuracy and rate of both real-word reading (more so than decoding of pseudowords) and text reading predicted reading comprehension; and Verbal IQ also predicted reading comprehension. In Study 2 (n = 98), the treatment group (before/after school clubs receiving an integrated instructional approach that was supplementary to the general reading program) improved significantly more in phonological decoding and state standards for reading fluency than the control group (general reading program that had some code instruction but emphasized comprehension). The rate of phonological decoding explained 60.3% of real-word reading. Both treatment and control children improved significantly in reading comprehension, but controlling for pretreatment individual differences in oral vocabulary or in phonological decoding eliminated this effect. Taken together, the results of the two studies support two paths to reading comprehension: one from vocabulary and verbal reasoning, and one from written language that has multiple links between subskills: (a) alphabetic principle --> phonological decoding, (b) automatic phonological decoding --> accurate real-word reading, (c) automatic letter coding ---> automatic word reading, and (d) automatic word reading --> fluent text reading. Instructional implications of both paths and the links within the written language are discussed.

Child↗

PubMedDate not supplied

Reproducibility of proton MR spectroscopic imaging (PEPSI): comparison of dyslexic and normal-reading children and effects of treatment on brain lactate levels during language tasks.

BACKGROUND AND PURPOSE: We repeated a proton echo-planar spectroscopic imaging (PEPSI) study to test the hypothesis that children with dyslexia and good readers differ in brain lactate activation during a phonologic judgment task before but not after instructional treatment. METHODS: We measured PEPSI brain lactate activation (TR/TE, 4000/144; 1.5 T) at two points 1-2 months apart during two language tasks (phonologic and lexical) and a control task (passive listening). Dyslexic participants (n = 10) and control participants (n = 8) (boys and girls aged 9-12 years) were matched in age, verbal intelligence quotients, and valid PEPSI voxels. In contrast to patients in past studies who received combined treatment, our patients were randomly assigned to either phonologic or morphologic (meaning-based) intervention between the scanning sessions. RESULTS: Before treatment, the patients showed significantly greater lactate elevation in the left frontal regions (including the inferior frontal gyrus) during the phonologic task. Both patients and control subjects differed significantly in the right parietal and occipital regions during both tasks. After treatment, the two groups did not significantly differ in any brain region during either task, but individuals given morphologic treatment were significantly more likely to have reduced left frontal lactate activation during the phonologic task. CONCLUSION: The previous finding of greater left frontal lactate elevation in children with dyslexia during a phonologic judgment task was replicated, and brain activation changed as a result of treatment. However, the treatment effect was due to the morphologic component rather than the phonologic component.

Age Factors↗