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Shulver KD, Badcock NA. Chasing the Anchor: A Systematic Review and Meta-Analysis of Perceptual Anchoring Deficits in Developmental Dyslexia. JOURNAL OF SPEECH, LANGUAGE, AND HEARING RESEARCH : JSLHR 2021; 64:3289-3302. [PMID: 34289307 DOI: 10.1044/2021_jslhr-20-00533] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Purpose We report the results of a systematic review and meta-analysis investigating the relationship between perceptual anchoring and dyslexia. Our goal was to assess the direction and degree of the effect between perceptual anchoring and reading ability in typical and atypical (i.e., dyslexic) readers. Method We performed a literature search of experiments explicitly assessing perceptual anchoring and reading ability using PsycInfo (Ovid, 1860-2020), MEDLINE (Ovid, 1860-2019), EMBASE (Ovid, 1883-2019), and PubMed for all available years up to June (2020). Our eligibility criteria consisted of English language articles, and, at minimum, one experimental group identified as dyslexic-either by reading assessment at the time or by previous diagnosis. We assessed for risk of bias using an adapted version of the Newcastle-Ottawa Scale. Eight studies were included in this review and meta-analysis (n = 422 participants). Results The overall effect was negative, moderate, and statistically significant; g = -0.70, 95% confidence interval [-1.10, -0.29]: a negative effect size indicating less perceptual anchoring in dyslexic versus nondyslexic groups. Visual assessment of funnel plot and Egger's test suggest minimal bias but with significant heterogeneity; Q (7) = 17.03, prediction interval [-1.79, 0.40]. Conclusions Of the included studies, we find evidence for a moderate perceptual anchoring deficit in individuals with dyslexia. The primary limitation of the current review is the small number of included studies. The variability of effect sizes appears consistent with the inherent variability within subtypes of dyslexia.
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Affiliation(s)
- Kurt D Shulver
- Department of Psychology, Macquarie University, Sydney, New South Wales, Australia
- Macquire University Centre for Reading, Macquarie University, Sydney, New South Wales, Australia
| | - Nicholas A Badcock
- Macquire University Centre for Reading, Macquarie University, Sydney, New South Wales, Australia
- School of Psychological Sciences, University of Western Australia, Perth, Australia
- Department of Cognitive Science, Macquarie University, Sydney, New South Wales, Australia
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Witton C, Swoboda K, Shapiro LR, Talcott JB. Auditory frequency discrimination in developmental dyslexia: A meta-analysis. DYSLEXIA (CHICHESTER, ENGLAND) 2020; 26:36-51. [PMID: 31877576 PMCID: PMC7028017 DOI: 10.1002/dys.1645] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/08/2019] [Accepted: 11/26/2019] [Indexed: 05/17/2023]
Abstract
Auditory frequency discrimination has been used as an index of sensory processing in developmental language disorders such as dyslexia, where group differences have often been interpreted as evidence for a basic deficit in auditory processing that underpins and constrains individual variability in the development of phonological skills. Here, we conducted a meta-analysis to evaluate the cumulative evidence for group differences in frequency discrimination and to explore the impact of some potential moderator variables that could contribute to variability in effect-size estimations across studies. Our analyses revealed mean effect sizes for group differences on frequency discrimination tasks on the order of three-quarters of a standard deviation, but in the presence of substantial inter-study variability in their magnitude. Moderator variable analyses indicated that factors related both to participant variability on behavioural and cognitive variables associated with the dyslexia phenotype, and to variability in the task design, contributed to differences in the magnitude of effect size across studies. The apparently complex pattern of results was compounded by the lack of concurrent, standardised metrics of cognitive and reading component skills across the constituent studies. Differences on sensory processing tasks are often reported in studies of developmental disorders, but these need to be more carefully interpreted in the context of non-sensory factors, which may explain significant inter- and intra-group variance in the dependent measure of interest.
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Affiliation(s)
| | - Katy Swoboda
- Aston Neuroscience InstituteAston UniversityBirminghamUK
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Lifshitz-Ben-Basat A, Fostick L. Music-related abilities among readers with dyslexia. ANNALS OF DYSLEXIA 2019; 69:318-334. [PMID: 31446571 DOI: 10.1007/s11881-019-00185-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/16/2019] [Accepted: 08/14/2019] [Indexed: 06/10/2023]
Abstract
Research suggests that a central difficulty in dyslexia may be impaired rapid temporal processing. Good temporal processing is also needed for musical perception, which relies on the ability to detect rapid changes. Our study is the first to measure the perception of adults with and without dyslexia on all three dimensions of music (rhythm, pitch, and spectrum), as well as their capacity for auditory imagery and detection of slow changes, while controlling for working memory. Participants were undergraduate students, aged 20-35 years: 26 readers with dyslexia and 30 typical readers. Participants completed a battery of tests measuring aptitude for recognizing the similarity/difference in tone pitch or rhythm, spectral resolution, vividness/control of auditory imagination, the ability to detect slow changes in auditory stimuli, and working memory. As expected, readers with dyslexia showed poorer performance in pitch and rhythm than controls, but outperformed them in spectral perception. The data for each test was analyzed separately while controlling for the letter-number sequencing score. No differences between groups were found in slow-change detection or auditory imagery. Our results demonstrated that rapid temporal processing appears to be the main difficulty of readers with dyslexia, who demonstrated poorer performance when stimuli were presented quickly rather than slowly and better performance on a task when no temporal component was involved. These findings underscore the need for further study of temporal processing in readers with dyslexia. Remediation of temporal processing deficits may unmask the preserved or even superior abilities of people with dyslexia, leading to enhanced ability in all areas that utilize the temporal component.
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Affiliation(s)
| | - Leah Fostick
- Department of Communication Disorders, Ariel University, Ariel, Israel
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Gabay Y, Holt LL. Short-term adaptation to sound statistics is unimpaired in developmental dyslexia. PLoS One 2018; 13:e0198146. [PMID: 29879142 PMCID: PMC5991687 DOI: 10.1371/journal.pone.0198146] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2018] [Accepted: 05/14/2018] [Indexed: 11/19/2022] Open
Abstract
Developmental dyslexia is presumed to arise from phonological impairments. Accordingly, people with dyslexia show speech perception deficits taken as indication of impoverished phonological representations. However, the nature of speech perception deficits in those with dyslexia remains elusive. Specifically, there is no agreement as to whether speech perception deficits arise from speech-specific processing impairments, or from general auditory impairments that might be either specific to temporal processing or more general. Recent studies show that general auditory referents such as Long Term Average Spectrum (LTAS, the distribution of acoustic energy across the duration of a sound sequence) affect speech perception. Here we examine the impact of preceding target sounds' LTAS on phoneme categorization to assess the nature of putative general auditory impairments associated with dyslexia. Dyslexic and typical listeners categorized speech targets varying perceptually from /ga/-/da/ preceded by speech and nonspeech tone contexts varying. Results revealed a spectrally contrastive influence of the preceding context LTAS on speech categorization, with a larger magnitude effect for nonspeech compared to speech precursors. Importantly, there was no difference in the presence or magnitude of the effects across dyslexia and control groups. These results demonstrate an aspect of general auditory processing that is spared in dyslexia, available to support phonemic processing when speech is presented in context.
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Affiliation(s)
- Yafit Gabay
- Department of Special Education, University of Haifa, Haifa, Israel
- Edmond J. Safra Brain Research Center for the Study of Learning Disabilities, University of Haifa, Haifa, Israel
| | - Lori L. Holt
- Carnegie Mellon University, Department of Psychology, Pittsburgh, United States of America
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5
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Fostick L, Revah H. Dyslexia as a multi-deficit disorder: Working memory and auditory temporal processing. Acta Psychol (Amst) 2018; 183:19-28. [PMID: 29304447 DOI: 10.1016/j.actpsy.2017.12.010] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2017] [Revised: 12/07/2017] [Accepted: 12/24/2017] [Indexed: 12/25/2022] Open
Abstract
Dyslexia is difficulty in acquiring reading skills despite adequate intelligence and sufficient reading opportunities. Its origin is still under debate. Studies usually focus on a singular cause for dyslexia; however, some researchers argue that dyslexia reflects multiple deficits. Two of the abilities under investigation in dyslexia are working memory (WM) and auditory temporal processing (ATP). In order to better evaluate the relative roles of WM and ATP in dyslexia, in the present study, we tested the contribution of WM and ATP to different types of reading performance and phonological awareness in dyslexia, using a multidimensional approach. Seventy-eight adults with dyslexia and 23 normal-reading adults performed WM and ATP tasks, as well as reading and phonological awareness tests. Readers with dyslexia showed poorer performance on all tests. Both WM and ATP were significant predictors of reading performance and phonological awareness among participants with dyslexia. Dividing participants with dyslexia according to their performance level on WM and ATP tasks revealed group differences in reading and phonological awareness tests. Both WM and ATP contribute to dyslexia, and varying levels of difficulties in both of these abilities are observed among this population. This is strong evidence in favor of the multi-deficit approach in dyslexia, and suggests that researchers should consider this approach in future studies of dyslexia.
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Lam E, van Steenbrugge W, Kapadia S, Lind C. Frequency discrimination and non-lexical reading in children with auditory processing disorders: a preliminary study. SPEECH LANGUAGE AND HEARING 2018. [DOI: 10.1080/2050571x.2017.1421393] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Affiliation(s)
- Emilie Lam
- Speech Pathology, College of Nursing and Health Sciences, Flinders University, Adelaide, Australia
- Audiology, College of Nursing and Health Sciences, Flinders University, Adelaide, Australia
| | - Willem van Steenbrugge
- Speech Pathology, College of Nursing and Health Sciences, Flinders University, Adelaide, Australia
| | - Sarosh Kapadia
- Audiology, College of Nursing and Health Sciences, Flinders University, Adelaide, Australia
| | - Christopher Lind
- Audiology, College of Nursing and Health Sciences, Flinders University, Adelaide, Australia
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Perrachione TK, Del Tufo SN, Winter R, Murtagh J, Cyr A, Chang P, Halverson K, Ghosh SS, Christodoulou JA, Gabrieli JDE. Dysfunction of Rapid Neural Adaptation in Dyslexia. Neuron 2017; 92:1383-1397. [PMID: 28009278 DOI: 10.1016/j.neuron.2016.11.020] [Citation(s) in RCA: 86] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2016] [Revised: 08/16/2016] [Accepted: 10/26/2016] [Indexed: 11/16/2022]
Abstract
Identification of specific neurophysiological dysfunctions resulting in selective reading difficulty (dyslexia) has remained elusive. In addition to impaired reading development, individuals with dyslexia frequently exhibit behavioral deficits in perceptual adaptation. Here, we assessed neurophysiological adaptation to stimulus repetition in adults and children with dyslexia for a wide variety of stimuli, spoken words, written words, visual objects, and faces. For every stimulus type, individuals with dyslexia exhibited significantly diminished neural adaptation compared to controls in stimulus-specific cortical areas. Better reading skills in adults and children with dyslexia were associated with greater repetition-induced neural adaptation. These results highlight a dysfunction of rapid neural adaptation as a core neurophysiological difference in dyslexia that may underlie impaired reading development. Reduced neurophysiological adaptation may relate to prior reports of reduced behavioral adaptation in dyslexia and may reveal a difference in brain functions that ultimately results in a specific reading impairment.
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Affiliation(s)
- Tyler K Perrachione
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
| | - Stephanie N Del Tufo
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Rebecca Winter
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Jack Murtagh
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Abigail Cyr
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Patricia Chang
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Kelly Halverson
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Satrajit S Ghosh
- Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Joanna A Christodoulou
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - John D E Gabrieli
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
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8
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Perrachione TK, Del Tufo SN, Winter R, Murtagh J, Cyr A, Chang P, Halverson K, Ghosh SS, Christodoulou JA, Gabrieli JDE. Dysfunction of Rapid Neural Adaptation in Dyslexia. Neuron 2016. [PMID: 28009278 DOI: 10.1016/j.neuron.2016.11.020"] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/30/2022]
Abstract
Identification of specific neurophysiological dysfunctions resulting in selective reading difficulty (dyslexia) has remained elusive. In addition to impaired reading development, individuals with dyslexia frequently exhibit behavioral deficits in perceptual adaptation. Here, we assessed neurophysiological adaptation to stimulus repetition in adults and children with dyslexia for a wide variety of stimuli, spoken words, written words, visual objects, and faces. For every stimulus type, individuals with dyslexia exhibited significantly diminished neural adaptation compared to controls in stimulus-specific cortical areas. Better reading skills in adults and children with dyslexia were associated with greater repetition-induced neural adaptation. These results highlight a dysfunction of rapid neural adaptation as a core neurophysiological difference in dyslexia that may underlie impaired reading development. Reduced neurophysiological adaptation may relate to prior reports of reduced behavioral adaptation in dyslexia and may reveal a difference in brain functions that ultimately results in a specific reading impairment.
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Affiliation(s)
- Tyler K Perrachione
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
| | - Stephanie N Del Tufo
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Rebecca Winter
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Jack Murtagh
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Abigail Cyr
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Patricia Chang
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Kelly Halverson
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Satrajit S Ghosh
- Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Joanna A Christodoulou
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - John D E Gabrieli
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
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Chandrasekaran B, Skoe E, Kraus N. An integrative model of subcortical auditory plasticity. Brain Topogr 2013; 27:539-52. [PMID: 24150692 DOI: 10.1007/s10548-013-0323-9] [Citation(s) in RCA: 50] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2013] [Accepted: 10/05/2013] [Indexed: 11/26/2022]
Abstract
In direct conflict with the concept of auditory brainstem nuclei as passive relay stations for behaviorally-relevant signals, recent studies have demonstrated plasticity of the auditory signal in the brainstem. In this paper we provide an overview of the forms of plasticity evidenced in subcortical auditory regions. We posit an integrative model of auditory plasticity, which argues for a continuous, online modulation of bottom-up signals via corticofugal pathways, based on an algorithm that anticipates and updates incoming stimulus regularities. We discuss the negative implications of plasticity in clinical dysfunction and propose novel methods of eliciting brainstem responses that could specify the biological nature of auditory processing deficits.
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Affiliation(s)
- Bharath Chandrasekaran
- Department of Communication Sciences and Disorders, Center for Perceptual Systems, Institute for Neuroscience, The University of Texas at Austin, Austin, TX, USA,
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