Measures Of Phonological Processing Research Articles

Phonological awareness and RAN contribute to Chinese reading and arithmetic for different reasons.

The present study investigated how phonological awareness and rapid automatized naming (hereafter, RAN), simultaneously contributed to Chinese reading and arithmetic fluency. Specifically, we proposed a new hypothesized mechanism that processing speed would mediate the relations of RAN with Chinese reading and arithmetic fluency. One hundred and forty-five Chinese children at the fifth grade were administered with a battery of measures, including three phonological processing measures, character reading, and whole number computation, as well as nonverbal IQ, and vocabulary knowledge. Path analyses revealed that phonological awareness and RAN were uniquely related to character reading and arithmetic fluency, while phonological memory was not significantly correlated to either character reading or arithmetic fluency, after controlling for age, nonverbal IQ, and vocabulary knowledge. Further analysis indicated that processing speed demonstrated a mediating effect on the importance of RAN in character reading, rather than in arithmetic fluency. Results underscore the potential importance of phonological awareness and RAN in character reading and arithmetic fluency, and the mediating role of processing speed in RAN to promote Chinese character reading fluency.

Cognitive neural responses in the semantic comprehension of sound symbolic words and pseudowords.

Sound symbolism is the phenomenon of sounds having non-arbitrary meaning, and it has been demonstrated that pseudowords with sound symbolic elements have similar meaning to lexical words. It is unclear how the impression given by the sound symbolic elements is semantically processed, in contrast to lexical words with definite meanings. In event-related potential (ERP) studies, phonological mapping negativity (PMN) and N400 are often used as measures of phonological and semantic processing, respectively. Therefore, in this study, we analyze PMN and N400 to clarify the differences between existing sound symbolic words (onomatopoeia or ideophones) and pseudowords in terms of semantic and phonological processing. An existing sound symbolic word and pseudowords were presented as an auditory stimulus in combination with a picture of an event, and PMN and N400 were measured while the subjects determined whether the sound stimuli and pictures match or mismatch. In both the existing word and pseudoword tasks, the amplitude of PMN and N400 increased when the picture of an event and the speech sound did not match. Additionally, compared to the existing words, the pseudowords elicited a greater amplitude for PMN and N400. In addition, PMN latency was delayed in the mismatch condition relative to the match condition for both existing sound symbolic words and pseudowords. We concluded that established sound symbolic words and sound symbolic pseudowords undergo similar semantic processing. This finding suggests that sound symbolism pseudowords are not judged on a simple impression level (e.g., spiky/round) or activated by other words with similar spellings (phonological structures) in the lexicon, but are judged on a similar contextual basis as actual words.

The Contribution of Phonological Processing to Reading and Spelling in Students With Cochlear Implants.

Children with cochlear implants (CIs) have difficulty with literacy, and although it is established that phonological processing underlies literacy skills in children with typical hearing (TH), the relation of phonological processing and literacy in children with CIs is not fully understood. This study evaluated the contributions of phonological processing to word-level reading and spelling skills of children with CIs. Thirty children with CIs and 31 children with TH in Grades 3 through 6 completed measures of word reading, spelling, and phonological processing. The contributions of phonological processing (phonological awareness, phonological memory, and phonological recoding) to reading and spelling were evaluated. Children with CIs scored lower across measures of reading, spelling, phonological awareness, and phonological memory, but not phonological recoding, than children with TH. Phonological processing components were significant predictors of reading and spelling for children with CIs but not for children with TH. This study underscores the important contribution of phonological processing, particularly phonological awareness and phonological memory, in literacy development for children who use CIs. These results suggest an urgent need for research into not only the underlying mechanisms that predict literacy outcomes but also evidence-based interventions to support these students' literacy.

ERP Indicators of Phonological Awareness Development in Children: A Systematic Review.

Phonological awareness is the ability to correctly recognize and manipulate phonological structures. The role of phonological awareness in reading development has become evident in behavioral research showing that it is inherently tied to measures of phonological processing and reading ability. This has also been shown with ERP research that examined how phonological processing training can benefit reading skills. However, there have not been many attempts to systematically review how phonological awareness itself is developed neurocognitively. In the present review, we screened 224 papers and systematically reviewed 40 papers that have explored phonological awareness and phonological processing using ERP methodology with both typically developing and children with reading problems. This review highlights ERP components that can be used as neurocognitive predictors of early developmental dyslexia and reading disorders in young children. Additionally, we have presented how phonological processing is developed neurocognitively throughout childhood, as well as which phonological tasks can be used to predict the development of phonological awareness prior to developing reading skills. Neurocognitive measures of early phonological processing can serve as supplemental diagnostic sources to behavioral measures of reading abilities because they show different aspects of phonological sensitivity when compared to behavioral measures.

Reading Skills in Children With Suspected Childhood Apraxia of Speech and Children With Reading Disorders: Same or Different?

The primary aim of this study was to compare decoding and literacy-related skills of children with suspected childhood apraxia of speech (sCAS) to children with reading disorders (RD) and no history of speech sound disorder (RD-no SSD) to determine if the groups differ in decoding and the endophenotypes that contribute to RD. We also explored the association between language impairment (LI) and decoding and literacy-related skills within the participant group with sCAS. Participants were school-age children and adolescents, 8-14 years of age, with a diagnosis of sCAS (n = 13) or RD-no SSD (n = 16). The sCAS and RD-no SSD groups were compared on measures of single-word decoding, oral language, motor-speech skills, phonological processing, and speech-in-noise perception, employing t tests and analysis of covariance. The sCAS + LI and sCAS-only groups were compared on similar measures using t tests. Compared to the RD-no SSD group, the sCAS group performed significantly worse on measures of phonological processing, multisyllable word repetition, diadochokinetic rate, and speech-in-noise perception. The groups did not differ on measures of single-word decoding, with mean scores for both groups falling below average. All participants with sCAS + LI demonstrated deficits in literacy and literacy-related skills compared to a smaller percentage of the sCAS-only group. Children with sCAS and children with RD-no SSD demonstrate similar impairments in literacy. However, the endophenotypes underlying these difficulties can differ between the groups. Deficits in skills needed for literacy may require specifically tailored interventions to address reading difficulties for children with sCAS, especially for those with comorbid LI.

Cortical asymmetries at different spatial hierarchies relate to phonological processing ability.

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.

The Relation Among Phonological Processing, Oral and Silent Reading Fluency, and Reading Comprehension for Students with Dyslexia: A Longitudinal Investigation

The purpose of this study was to examine the relations among phonological skills, reading fluency, and reading comprehension across reading modality (oral and silent) for a sample of students (N = 121) in grades 2–5 who have been diagnosed with dyslexia. Participants were administered text-level oral and silent reading fluency and comprehension assessments and selected phonological processing measures at the beginning and end of the school year. Cross-lagged path analyses were used to examine the relations among the phonological processing and reading skills across two theoretical models, one depicting reading fluency as a single construct and another representing rate and accuracy separately. Across models, results indicated that oral reading contributed to silent reading development but that this relation was not reciprocal. RAN emerged as a robust contributor to all aspects of oral and silent reading examined in this study, whereas phonological awareness contributed to fluency across modalities but did not impact end-of-year comprehension. Results generally followed a pattern of progression from lower to higher reading skills and from oral to silent reading. Further, important trends with regard to the contribution of phonological awareness to fluency subskills (rate and accuracy) were obscured when fluency was considered as a single construct, suggesting that it may be important for researchers to consider these subskills separately.

A preliminary investigation of sound-field amplification as an inclusive classroom adjustment for children with and without Autism Spectrum Disorder

Purpose: This study aimed to determine if sound-field amplification (SFA) could be used as an inclusive classroom adjustment to support primary school students with and without Autism Spectrum Disorder (ASD).Methods: A two-group, randomised controlled trial (RCT) with crossover was conducted involving 13 students with ASD (9 males, aged 7.6 to 8.4 years) and 17 typically progressing students without ASD (7 males, aged 7.6 to 9.3 years) from 10 primary schools in and near to Brisbane, Australia. Eighteen of these children had an SFA system in their classrooms in semester one and 12 in semester two of their fourth year of formal schooling (Year 3). Potential proximate benefits were assessed using teacher questionnaire and video analysis of student listening behaviours. Potential distant benefits were assessed using measures of phonological processing in quiet and in noise, attention, memory, and educational achievement.Results: Potential proximate benefits were observed for all students with teachers rating student listening behaviours higher with SFA versus without SFA. Potential distant benefits were observed for students with ASD who showed greater improvements in one area of phonological processing (blending nonsense words in noise) following SFA versus no SFA. No other potential proximate or distant benefits following SFA were observed.Conclusions: SFA could be used as an inclusive classroom adjustment to support some primary school students with and without ASD by potentially putting those students in a better position to learn, but their learning must still take place over time and realistic expectations of what can reasonably be achieved by SFA alone are needed.

Selective visual attention skills differentially predict decoding and reading comprehension performance across reading ability profiles.

The purpose of this study was to examine the relationship between selective visual attention (SVA), reading decoding, listening comprehension and reading comprehension in children with and without a reading disorder. We used longitudinal data from the Avon Longitudinal Study of Parents and Children. We split children into four groups: Typical Readers, Dyslexics, Poor Comprehenders and Comorbid Reading Disorder. We included measures of single word reading, nonword reading, spelling, phonological processing, vocabulary, receptive language, nonverbal intelligence, selective attention and reading comprehension. We used analysis of variance, correlations and structural equation modelling to examine the relationship between SVA and reading. We fit two possible models: SVA Indirect and SVA Direct. The difference between these models was the inclusion of a direct path from SVA to reading comprehension. We examined an indirect model, where SVA predicted reading comprehension through word decoding and listening comprehension, and a direct model, which included a pathway from SVA to reading comprehension. Based on our analysis of variance and correlation results, we collapsed the Dyslexic, Poor Comprehenders and Comorbid Reading Disorder groups for the structural equation modelling. We found evidence that for Typical Readers, an indirect model was the best fit, whereas the direct model was the best model for children with a reading disorder. Selective visual attention is related to reading comprehension. This relationship differs for children with and without a reading disorder.

Declarative Memory Predicts Phonological Processing Abilities in Adulthood.

Individual differences in phonological processing abilities have often been attributed to perceptual factors, rather than to factors relating to learning and memory. Here, we consider the contribution of individual differences in declarative and procedural memory to phonological processing performance in adulthood. We examined the phonological processing, declarative memory, and procedural memory abilities of 79 native English-speaking young adults with typical language and reading abilities. Declarative memory was assessed with a recognition memory task of real and made-up objects. Procedural memory was assessed with a serial reaction time task. For both tasks, learning was assessed shortly after encoding, and again after a 12-h, overnight delay. We regressed phonological processing ability with memory performance on both days. We found that declarative memory, but not procedural memory, was highly predictive of phonological processing abilities. Specifically, declarative memory scores obtained shortly after learning were associated with non-word repetition performance, whereas declarative memory scores obtained after the overnight delay were associated with phonological awareness. Procedural memory was not associated with either of the phonological processing measures. We discuss these findings in the context of adult participants with mature phonological systems. We examine possible implications for the relationship between declarative memory and phonological processing in adulthood.

Examining Factors That Predict Arabic Word Reading in First and Second Graders

Although there is a growing research base on Arabic literacy development to inform our understanding of the factors that account for variability in word reading skill, the current body of research is limited by two major constraints. First, although several studies examine one or more early literacy constructs, we were able to locate only two studies that included phonological, orthographic and morphological factors together. Second, all of the studies conducted to date rely on the use of researcher-developed measures that include tasks associated with the construct(s) of interest, but that are not based on a comprehensive conceptual framework of these constructs. In this study, 188 students in grades 1–2 completed measures of phonological processing, orthographic knowledge, morphological awareness, and word reading. Results of multiple regression analyses indicate that phonological awareness, and, in particular, elision, accounted for significant variance in word reading, regardless of how word reading was measured. Morphological awareness and orthographic knowledge measures also accounted for significant variance in some word reading measures. RAN and Phonological Memory measures only contributed to some measures of word reading ability. Results are discussed in the context of the existing literature on Arabic. Implications and next steps for research are discussed.

Bridging sensory and language theories of dyslexia: Toward a multifactorial model.

Competing theories of dyslexia posit that reading difficulties arise from impaired visual, auditory, phonological, or statistical learning mechanisms. Importantly, many theories posit that dyslexia reflects a cascade of impairments emanating from a single “core deficit”. Here we report two studies evaluating core deficit and multifactorial models. In Study 1, we use publicly available data from the Healthy Brain Network to test the accuracy of phonological processing measures for predicting dyslexia diagnosis and find that over 30% of cases are misclassified (sensitivity = 66.7%; specificity = 68.2%). In Study 2, we collect a battery of psychophysical measures of visual motion processing and standardized measures of phonological processing in 106 school‐aged children to investigate whether dyslexia is best conceptualized under a core‐deficit model, or as a disorder with heterogenous origins. Specifically, by capitalizing on the drift diffusion model to analyze performance on a visual motion discrimination experiment, we show that deficits in visual motion processing, perceptual decision‐making, and phonological processing manifest largely independently. Based on statistical models of how variance in reading skill is parceled across measures of visual processing, phonological processing, and decision‐making, our results challenge the notion that a unifying deficit characterizes dyslexia. Instead, these findings indicate a model where reading skill is explained by several distinct, additive predictors, or risk factors, of reading (dis)ability.

Group Stability and Reading Profiles of Students With Dyslexia: A Double-Deficit Perspective

This study examined the Double-Deficit Hypothesis (DDH) by classifying students with dyslexia into four distinct groups, comparing group differences on text-level reading tasks, and examining group stability across one school year (fall to spring). Elementary students ( N = 109) were administered measures of reading fluency, reading comprehension, and phonological processing across the school year. DDH group membership was determined by the presence of phonological awareness deficits (PD), naming speed deficits (NSD), double-deficits (DD) in both skills, or no deficits for typically developing (TD) readers. The McNemar test was used to determine the stability of DDH group membership. Analysis of covariance was used to compare DDH groups on text-level reading tasks at each time point after controlling for gender. Overall, reading profiles across the fall DDH groups were congruent with DDH theory, but instability was found in the reading patterns and group membership across time. Nearly half (47.71%) of participants changed DDH groups across the school year, and reading skill differences between the single-deficit groups dissipated in the spring. Results provide partial support for the DDH subgroups. More research is needed to understand the utility of the DDH subtypes for future assessment and intervention practices.

Associations and Dissociations among Phonological Processing Skills, Language Skills and Nonverbal Cognition in Individuals with Autism Spectrum Disorder

Aims: The purpose of this study was to examine the nature of phonological processing in individuals with autism spectrum disorder (ASD) as it pertains to their nonverbal cognitive and linguistic abilities. Methods: Twenty-one participants between the ages of 9 and 21 years were administered a nonverbal cognitive assessment (Raven test), a language measure that requires receptive and expressive knowledge of semantics, syntax and morphology, as well as the integration across these language domains (CELF-4), and a measure of phonological processing (CTOPP). Results: Results show that performance on nonword repetition (NWR) that reflects an aspect of phonological memory was significantly low, whereas performance on phoneme reversal, phoneme elision, blending words and memory for digits was within the normal range. Hierarchical regressions with age, nonverbal intelligence (Raven test) and receptive language (CELF) as predictors showed that for NWR and phoneme elision the receptive part of the CELF was the main significant ­predictor, after controlling for age. For phoneme reversal and memory for digits, however, the Raven score was the significant predictor, suggesting that cognitive nonverbal ability is the main factor explaining variability in these tasks. Conclusions: A deficit in phonological memory characterizes individuals in the autistic population. This deficit may influence language acquisition in this population consistent with other populations of children with language impairments. Other tasks of phonological awareness, however, might be preserved especially when they do not involve memory for long phonological sequences and when the cognitive abilities are within the norm.

The Speech "Bamana": Using the Syllable Repetition Task to Identify Underlying Phonological Deficits in Children With Speech and Language Impairments.

Purpose This study compared performance on the Syllable Repetition Task (SRT) by preschoolers with diverse speech and language abilities to identify underlying impairments in speech processes. Method Three groups of 13 children ages 4 and 5 years with (a) typically developing (TD) speech and language, (b) speech sound disorder (SSD), and (c) comorbid developmental language disorder and speech sound disorder (DLD + SSD) completed the SRT. We calculated competence, memory, encoding, and transcoding scores, as well as word-initial stress pattern and vowel accuracy. Results A 3 × 3 (Group × Syllable length) factorial multivariate analysis of covariance revealed group differences for all measures and syllable length differences for memory, transcoding, and competence. There were no interactions between group and syllable length. TD children obtained the highest scores on each measure, though children with DLD + SSD performed similarly to TD children on encoding when vocabulary was included as a covariate. Children with SSD only outperformed children with DLD + SSD on competence and transcoding, and these two groups performed similarly on memory. A separate exploratory analysis using a 3 × 3 multivariate analysis of covariance revealed that children with DLD + SSD were more likely than children in the other groups to produce weak word-initial stress and vowel errors during syllable repetition. Conclusion Children with SSD and DLD + SSD exhibit underlying phonological deficits on the SRT compared to TD children. Results support the claim that memory and encoding are deficits in SSD. In addition, transcoding deficits were identified among children with no known oromotor impairment. Therefore, more research is required to identify the relationship between SRT performance and explicit measures of phonological processing.

Language and reading development in children learning English as an additional language in primary school in England

Children learning English as an additional language (EAL) are a growing population of learners in English primary schools. These children begin school with differing levels of English language proficiency and tend to underperform in relation to their non‐EAL peers on measures of English oral language and reading. However, little work has examined the developmental trajectories of these skills in EAL learners in England. EAL learners and 33 non‐EAL peers in Year 4 (age 8–9 years) were assessed at three time points over 18 months on measures of oral language (vocabulary, grammar and listening comprehension), phonological processing (spoonerisms and rapid automatised naming) and reading skills (single‐word decoding and passage reading). At t1, EAL learners scored significantly lower than non‐EAL peers in receptive and expressive vocabulary (breadth but not depth), spoonerisms and passage reading accuracy. Contrary to previous research, no significant group differences were found in listening or reading comprehension skills. With the exception of passage reading accuracy, there was no evidence for convergence or divergence between the groups in rate of progress over time. After three years of English‐medium classroom instruction, EAL learners continue to underperform relative to their non‐EAL peers in breadth of English vocabulary knowledge. This discrepancy in vocabulary knowledge does not appear to narrow as a result of regular classroom instruction in the run up to the final stages of primary school, pinpointing vocabulary as a key target for intervention.

Atypical MEG inter-subject correlation during listening to continuous natural speech in dyslexia

Listening to speech elicits brain activity time-locked to the speech sounds. This so-called neural entrainment to speech was found to be atypical in dyslexia, a reading impairment associated with neural speech processing deficits. We hypothesized that the brain responses of dyslexic vs. normal readers to real-life speech would be different, and thus the strength of inter-subject correlation (ISC) would differ from that of typical readers and be reflected in reading-related measures.We recorded magnetoencephalograms (MEG) of 23 dyslexic and 21 typically-reading adults during listening to ~10 ​min of natural Finnish speech consisting of excerpts from radio news, a podcast, a self-recorded audiobook chapter and small talk. The amplitude envelopes of band-pass-filtered MEG source signals were correlated between subjects in a cortically-constrained source space in six frequency bands. The resulting ISCs of dyslexic and typical readers were compared with a permutation-based t-test. Neuropsychological measures of phonological processing, technical reading, and working memory were correlated with the ISCs utilizing the Mantel test.During listening to speech, ISCs were mainly reduced in dyslexic compared to typical readers in delta (0.5–4 ​Hz) and high gamma (55–90 ​Hz) frequency bands. In the theta (4–8 ​Hz), beta (12–25 ​Hz), and low gamma (25–45 ​Hz) bands, dyslexics had enhanced ISCs to speech compared to controls. Furthermore, we found that ISCs across both groups were associated with phonological processing, technical reading, and working memory.The atypical ISCs to natural speech in dyslexics supports the temporal sampling deficit theory of dyslexia. It also suggests over-synchronization to phoneme-rate information in speech, which could indicate more effort-demanding sampling of phonemes from speech in dyslexia. These irregularities in parsing speech are likely some of the complex neural factors contributing to dyslexia. The associations between neural coupling and reading-related skills further support this notion.

Relationship between early phonological processing and later phonological awareness: Evidence from nonword repetition.

This study investigated whether individual differences in vocabulary size, speech perception and production, and nonword repetition in 2½ to 3-year-old children predicted phonological awareness two years later. One hundred twenty-two children were tested twice. During the first testing period, we measured children's receptive vocabulary, speech perception, nonword repetition, and articulation. At the second testing period, we measured children's phonological awareness. The best predictors of phonological awareness at age 5 were receptive vocabulary and a measure of phonological processing derived from performance on the nonword repetition task. The results of this study suggest that nonword repetition accuracy can be used to index implicit phonological awareness at an age when children are too young to perform explicit phonological awareness tasks reliably.

Are "cool" executive function impairments more salient in ADHD symptoms than in reading disability?

ABSTRACTIntroduction:Reading disability (RD) and Attention Deficit Hyperactivity Disorder (ADHD) symptoms often co-occur in school-age children.Methods:The present study evaluated the performance of 216 Brazilian children from 3rd and 4th grades on “cool” executive function (EF) abilities and phonological processing. The children were divided into three groups: those with ADHD symptoms only, those with RD only, and controls.Results:MANOVA analyses, controlling for age and nonverbal intelligence, showed worse performance for the RD group, compared to the ADHD symptoms group, on measures of phonological processing (phonemic awareness, phonological short-term memory, and lexical access) and “cool” EF components (orthographic verbal fluency and processing speed). The ADHD symptoms group did not differ from the control group on the majority of the “cool” EF tasks. Compared to the control group, the ADHD symptoms group and the RD group both showed significantly more errors in rapid automatized naming of figures, which evaluates the inhibition component of EF; performance on this task was similar for these groups.Conclusion:We conclude that children with RD have greater impairment in phonological processing and “cool” EF compared to those with ADHD symptoms. Furthermore, deficits in inhibitory control may be shared among children with both conditions.

Individual differences in spelling ability influence phonological processing during visual word recognition

In the research reported here, we investigated how phonological processing in the lexical decision task is influenced by individual differences in the reading and spelling abilities of participants. We used phonological neighborhood spread as a measure of phonological processing. Spread refers to the number of phoneme positions in a word that can be changed to form a phonological neighbor. Replicating previous research, we found that words forming neighbors across three positions (P3) were recognized more rapidly than those forming neighbors across only two positions (P2). Importantly, we found that this spread effect interacted with spelling ability. The difference between P3 and P2 was largest when spelling recognition was high and spelling production low. These opposing effects of spelling ability are explained in terms of a language system that consists of separate orthographic systems for reading and spelling. Although these two orthographic systems are separate, they share information through a shared response buffer (Jones & Rawson, 2016). Within this framework, it is argued that lexical decisions are made once the information in the response buffer reaches threshold and that time to reach this threshold is influenced by two sources. One is the quality of the orthographic connections in the reading system and is measured by spelling recognition. The other is the quality of the orthographic connections in the spelling system and is measured by spelling production.