J Am Acad Audiol 2019; 30(06): 533-543
DOI: 10.3766/jaaa.17142
Articles
Thieme Medical Publishers 333 Seventh Avenue, New York, NY 10001, USA.

Investigating Auditory Spectral and Temporal Resolution Deficits in Children with Reading Difficulties

Kiri Mealings
*   National Acoustic Laboratories, Sydney, Australia
,
Sharon Cameron
*   National Acoustic Laboratories, Sydney, Australia
› Author Affiliations
Further Information

Publication History

13 February 2018

25 March 2018

Publication Date:
25 May 2020 (online)

Abstract

Background:

The types of reading difficulties experienced by children are highly heterogeneous in nature, which makes diagnosis and intervention difficult. Over the past 30 years, there has been much debate over the cause of dyslexia. The two most popular theories for phonological deficits in dyslexia are the rate-processing constraint hypothesis, which relates to short timescale processing, and the temporal sampling framework hypothesis, which relates to longer timescale processing.

Purpose:

To investigate the relationship between sublexical (i.e., nonword) reading skills and auditory spectral and temporal resolution patterns in children with reading difficulties using the Phoneme Identification Test (PIT) and the Parsing Syllable Envelopes Test (ParSE). These tests were developed to assess the rate-processing constraint and the temporal sampling framework hypotheses, respectively. We hypothesized that a proportion of children who have sublexical reading difficulties may have an underlying auditory-resolution deficit which may impact their ability to form letter–sound correspondences. We predicted that children’s sublexical reading difficulties may not be explained by one theory, but instead that both theories may describe different types of reading difficulties found in different children. We also hypothesized that children with lexical (i.e., irregular word) reading difficulties but intact sublexical reading skills would not show atypical results on PIT or ParSE.

Research Design:

Behavioral experimental clinical study with children who have reading difficulties.

Study Sample:

Sixteen children with nonword, irregular word, or mixed reading difficulties diagnosed by the Castles and Coltheart Test 2.

Data Collection and Analysis:

Children completed a test battery consisting of a hearing screen and tests of reading, auditory resolution, phonological awareness, attention, spatial auditory processing, auditory memory, and intelligence. Categorization and correlational analyses were conducted.

Results:

All four children with a pure sublexical reading deficit also had an auditory-resolution deficit. Four of seven children with a mixed reading deficit had an auditory-resolution deficit. Only one of five children with a lexical reading deficit had an auditory-resolution deficit. Individual children’s specific deficits were related to either rate processing (n = 5) or temporal sampling (n = 4), but never both. Children’s nonword reading scores were strongly correlated with their performance on the PIT in noise, but not with the PIT in quiet or the ParSE. Children’s irregular word scores were not significantly correlated with their performance on the PIT in quiet or in noise, or the ParSE, as hypothesized. Strong correlations were also found between children’s nonword scores and their phonological awareness scores.

Conclusions:

The results of this study suggest that neither the rate-processing hypothesis nor the temporal sampling framework is the single cause of reading difficulties in children. Instead, both of these hypotheses are likely to account for different types of reading deficits found in children. This is an important finding as the specific mechanisms driving different reading impairments must be identified to create tools to better diagnose and treat different types of reading difficulties. Further investigation of the PIT and ParSE as potential diagnostic tools for specific auditory-resolution–based reading difficulties in a larger group of children is currently underway.

This research is funded by the Australian Government through the Department of Health.


 
  • REFERENCES

  • Anthony JL, Lonigan CJ, Driscoll K, Phillips BM, Burgess SR. 2003; Phonological sensitivity: a quasi-parallel progression of word structure units and cognitive operations. Read Res Q 38 (04) 470-487
  • Birch SL. 2016; Prevalence and profile of phonological and surface subgroups in college students with a history of reading disability. J Learn Disabil 49 (04) 339-353
  • Boets B, Wouters J, van Wieringen A, Ghesquière P. 2007; Auditory processing, speech perception and phonological ability in pre-school children at high-risk for dyslexia: a longitudinal study of the auditory temporal processing theory. Neuropsychologia 45 (08) 1608-1620
  • Cameron S, Dillon H. 2007; a Development of the listening in spatialized noise-sentences test (LISN-S). Ear Hear 28 (02) 196-211
  • Cameron S, Dillon H. 2007; b The listening in spatialized noise-sentences test (LISN-S): test-retest reliability study. Int J Audiol 46: 145-153
  • Cameron S, Dillon H. 2008; The listening in spatialized noise–sentences test (LISN-S): comparison to the prototype LISN and results from children with either a suspected (central) auditory processing disorder or a confirmed language disorder. J Am Acad Audiol 19 (05) 377-391
  • Cameron S, Dillon H. 2009. Listening in spatialized noise–sentences test (LiSN-S) (version 2.4). Murten, Switzerland: Phonak Communications AG.;
  • Cameron S, Chong-White N, Mealings KT, Beechey T, Dillon H, Young T. 2018; a The phoneme identification test (PIT) for assessment of spectral and temporal discrimination skills in children: development, normative data and test-retest reliability studies. J Am Acad Audiol 29: 135-150
  • Cameron S, Chong-White N, Mealings KT, Beechey T, Dillon H, Young T. 2018; b The parsing syllable envelopes (ParSE) test for assessment of amplitude modulation discrimination skills in children: development, normative data and test-retest reliability studies. J Am Acad Audiol 29: 151-163
  • Castles A, Coltheart M. 1993; Varieties of developmental dyslexia. Cognition 47 (02) 149-180
  • Castles A, Coltheart M, Larsen L, Jones P, Saunders S, McArthur G. 2009. Assessing the Basic Components of Reading: A Revision of the Castles and Coltheart Test with New Norms (CC2). Sydney, Australia: Motif;
  • Chang EF, Rieger JW, Johnson K, Berger MS, Barbaro NM, Knight RT. 2010; Categorical speech representation in human superior temporal gyrus. Nat Neurosci 13 (11) 1428-1432
  • Coltheart M. 2005. Modeling reading: the dual-route approach. In: Snowling MJ, Hulme C. The Science of Reading: A Handbook. Oxford: Blackwell Publishing Ltd.; 6-23
  • Coltheart M, Rastle K, Langdon R, Ziegler JC. 2001; DRC: A dual route cascaded model of visual word reecognition and reading aloud. Psychol Rev 108 (01) 204-256
  • Cutini S, Szűcs D, Mead N, Huss M, Goswami U. 2016; Atypical right hemisphere response to slow temporal modulations in children with developmental dyslexia. Neuroimage 143: 40-49
  • Farmer ME, Klein RM. 1995; The evidence for a temporal processing deficit-linked to dyslexia: a review. Psychol Bull Rev 2 (04) 469-493
  • Giraud A-L, Poeppel D. 2012; Cortical oscillations and speech processing: emerging computational principals and operations. Nat Neurosci 15 (04) 511-517
  • Goswami U. 2011; A temporal sampling framework for developmental dyslexia. Trends Cogn Sci 15 (01) 3-10
  • Halliday LF, Tuomainen O, Rosen S. 2017; Auditory processing deficits are sometimes necessary and sometimes sufficient for language difficulties in children: evidence from mild to moderate sensorineural hearing loss. Cognition 166: 139-151
  • Hämäläinen JA, Salminen HK, Leppanen PHT. 2012; Basic auditory processing deficits in dyslexia: systematic review of the behavioral and event-related potential/field evidence. J Learn Disabil 46 (05) 413-427
  • Hornickel J, Skoe E, Nicol T, Zecker S, Kraus N. 2009; Subcortical differentiation of stop consonants relates to reading and speech-in-noise perception. Proc Natl Acad Sci U S A 106 (31) 13022-13027
  • Hulme C, Snowling M. 2009. Developmental Disorders of Language, Learning and Cognition. London: UK: Wiley-Blackwell;
  • Korkman M, Kirk U, Kemp S. 2007. Developmental NEuroPSYchological Assessment–Second Edition (NEPSY-II). London, UK: Pearson Clinical Assessment.;
  • Kyle FE, Harris M. 2010; Predictors of reading development in deaf children: a 3-year longitudinal study. J Exp Child Psychol 107 (03) 229-243
  • Lorenzi C, Dumont A, Fullgrabe C. 2000; Use of temporal envelope cues by children with developmental dyslexia. J Speech Lang Hear Res 43 (06) 1367-1379
  • Martin N, Brownell R. 2005. Test of Auditory Processing Skills–Third Edition (TAPS-3). Novato, CA: Academic Therapy Publications.;
  • McArthur G, Kohnen S, Larsen L, Jones K, Anandakumar T, Banales E, Castles A. 2013; Getting to grips with the heterogeneity of developmental dyslexia. Cogn Neuropsychol 30 (01) 1-24
  • Melby-Lervåg M, Lyster S-AH, Hulme C. 2012; Phonological skills and their role in learning to read: a meta-analytic review. Psychol Bull 138 (02) 322-352
  • Poelmans H, Luts H, Vandermosten M, Boets B, Ghesquiere P, Wouters J. 2012; Auditory steady state cortical responses indicate deviant phonemic-rate processing in adults with dyslexia. Ear Hear 33 (01) 134-143
  • Poeppel D. 2003; The analysis of speech in different temporal integration windows: cerebral lateralization as “asymmetric sampling in time”. Speech Commun 41 (01) 245-255
  • Protopapas A. 2013; From temporal processing to developmental language disorders: mind the gap. Philos Trans R Soc B Biol Sci 369 (1634) 1-11
  • Ramus F, Ahissar M. 2012; Developmental dyslexia: the difficulties of interpreting poor performance, and the importance of normal performance. Cogn Neuropsychol 29 1–2 104-122
  • Serniclaes W, Van Heghe S, Mousty P, Carré R, Sprenger-Charolles L. 2004; Allophonic mode of speech perception in dyslexia. J Exp Child Psychol 87 (04) 336-361
  • Tallal P. 1980; Auditory temporal perception, phonics, and reading disabilities in children. Brain Lang 9 (02) 182-198
  • Tallal P. 1984; Temporal or phonetic processing deficit in dyslexia? That is the question. Appl Psycholinguist 5: 167-169
  • Tallal P. 2004; Improving language and literacy is a matter of time. Nat Rev Neurosci 5: 721-728
  • Tallal P, Gaab N. 2006; Dynamic auditory processing, musical experience and language development. Trends Neurosci 29 (07) 382-390
  • Vandermosten M, Boets B, Luts H, Poelmans H, Wouters J, Ghesquière P. 2011; Impairments in speech and nonspeech sound categorization in children with dyslexia are driven by temporal processing difficulties. Res Dev Disabil 32 (02) 593-603
  • Wagner R, Torgesen J, Rashotte C. 2013. Comprehensive Test of Phonological Processing–Second Edition (CTOPP-2). London, UK: Pearson Clinical Assessment.;
  • Weschler D. 2011. Wechsler Abbreviated Scale of Intelligence–Second Edition (WASI-II). London, UK: Pearson Clinical Assessment;
  • White-Schwoch T, Woodruff Carr K, Thompson EC, Anderson S, Nicol T, Bradlow AR, Zecker SG, Kraus N. 2015; Auditory processing in noise: A preschool biomarker for literacy. PLoS Biol 13 (07) 1-17
  • Ziegler JC, Goswami U. 2005; Reading acquisition, developmental dyslexia, and skilled reading across languages: a psycholinguistic grain size theory. Psychol Bull 131 (01) 3-29
  • Ziegler JC, Pech-Georgel C, George F, Lorenzi C. 2009; Speech-perception-in-noise deficits in dyslexia. Dev Sci 12 (05) 732-745