Literature DB >> 28736204

Neural stability: A reflection of automaticity in reading.

Silvia Siu-Yin Lam1, Travis White-Schwoch1, Steven G Zecker2, Jane Hornickel1, Nina Kraus3.   

Abstract

Automaticity, the ability to perform a task rapidly with minimal effort, plays a key role in reading fluency and is indexed by rapid automatized naming (RAN) and processing speed. Yet little is known about automaticity's neurophysiologic underpinnings. The more efficiently sound is encoded, the more automatic sound processing can be. In turn, this automaticity could free up cognitive resources such as attention and working memory to help build an integrative reading network. Therefore, we hypothesized that automaticity and reading fluency correlate with stable neural representation of sounds, given a larger body of literature suggesting the close relationship between neural stability and the integrative function in the central auditory system. To test this hypothesis, we recorded the frequency-following responses (FFR) to speech syllables and administered cognitive and reading measures to school-aged children. We show that the stability of neural responses to speech correlates with RAN and processing speed, but not phonological awareness. Moreover, the link between neural stability and RAN mediates the previously-determined link between neural stability and reading ability. Children with a RAN deficit have especially unstable neural responses. Our neurophysiological approach illuminates a potential neural mechanism specific to RAN, which in turn indicates a relationship between synchronous neural firing in the auditory system and automaticity critical for reading fluency.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Automaticity; Neural stability; Rapid automatized naming; Reading fluency

Mesh:

Year:  2017        PMID: 28736204      PMCID: PMC5565231          DOI: 10.1016/j.neuropsychologia.2017.07.023

Source DB:  PubMed          Journal:  Neuropsychologia        ISSN: 0028-3932            Impact factor:   3.139


  34 in total

1.  Measures of information processing in rapid automatized naming (RAN) and their relation to reading.

Authors:  G Neuhaus; B R Foorman; D J Francis; C D Carlson
Journal:  J Exp Child Psychol       Date:  2001-04

Review 2.  Developmental change in speed of processing during childhood and adolescence.

Authors:  R Kail
Journal:  Psychol Bull       Date:  1991-05       Impact factor: 17.737

3.  Ventral and dorsal pathways for language.

Authors:  Dorothee Saur; Björn W Kreher; Susanne Schnell; Dorothee Kümmerer; Philipp Kellmeyer; Magnus-Sebastian Vry; Roza Umarova; Mariacristina Musso; Volkmar Glauche; Stefanie Abel; Walter Huber; Michel Rijntjes; Jürgen Hennig; Cornelius Weiller
Journal:  Proc Natl Acad Sci U S A       Date:  2008-11-12       Impact factor: 11.205

4.  Individual Differences in Human Auditory Processing: Insights From Single-Trial Auditory Midbrain Activity in an Animal Model.

Authors:  Travis White-Schwoch; Trent Nicol; Catherine M Warrier; Daniel A Abrams; Nina Kraus
Journal:  Cereb Cortex       Date:  2017-11-01       Impact factor: 5.357

5.  Plasticity in developing brain: active auditory exposure impacts prelinguistic acoustic mapping.

Authors:  April A Benasich; Naseem A Choudhury; Teresa Realpe-Bonilla; Cynthia P Roesler
Journal:  J Neurosci       Date:  2014-10-01       Impact factor: 6.167

6.  Decoding the neuroanatomical basis of reading ability: a multivoxel morphometric study.

Authors:  Qinghua He; Gui Xue; Chunhui Chen; Chuansheng Chen; Zhong-Lin Lu; Qi Dong
Journal:  J Neurosci       Date:  2013-07-31       Impact factor: 6.167

7.  Is the 'naming' deficit in dyslexia a misnomer?

Authors:  Manon W Jones; Holly P Branigan; Anna Hatzidaki; Mateo Obregón
Journal:  Cognition       Date:  2010-04-21

8.  Unstable representation of sound: a biological marker of dyslexia.

Authors:  Jane Hornickel; Nina Kraus
Journal:  J Neurosci       Date:  2013-02-20       Impact factor: 6.167

9.  Cortical speech-evoked response patterns in multiple auditory fields are correlated with behavioral discrimination ability.

Authors:  T M Centanni; C T Engineer; M P Kilgard
Journal:  J Neurophysiol       Date:  2013-04-17       Impact factor: 2.714

10.  The relationship between phonological and auditory processing and brain organization in beginning readers.

Authors:  Kenneth R Pugh; Nicole Landi; Jonathan L Preston; W Einar Mencl; Alison C Austin; Daragh Sibley; Robert K Fulbright; Mark S Seidenberg; Elena L Grigorenko; R Todd Constable; Peter Molfese; Stephen J Frost
Journal:  Brain Lang       Date:  2012-05-07       Impact factor: 2.381

View more
  1 in total

1.  Neural encoding of voice pitch and formant structure at birth as revealed by frequency-following responses.

Authors:  Sonia Arenillas-Alcón; Jordi Costa-Faidella; Teresa Ribas-Prats; María Dolores Gómez-Roig; Carles Escera
Journal:  Sci Rep       Date:  2021-03-23       Impact factor: 4.379

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.