Literature DB >> 22019772

Adults with dyslexia exhibit large effects of crowding, increased dependence on cues, and detrimental effects of distractors in visual search tasks.

Elisabeth Moores1, Rizan Cassim, Joel B Talcott.   

Abstract

Difficulties in visual attention are increasingly being linked to dyslexia. To date, the majority of studies have inferred functionality of attention from response times to stimuli presented for an indefinite duration. However, in paradigms that use reaction times to investigate the ability to orient attention, a delayed reaction time could also indicate difficulties in signal enhancement or noise exclusion once oriented. Thus, in order to investigate attention modulation and visual crowding effects in dyslexia, this study measured stimulus discrimination accuracy to rapidly presented displays. Adults with dyslexia (AwD) and controls discriminated the orientation of a target in an array of different numbers of - and differently spaced - vertically orientated distractors. Results showed that AwD: were disproportionately impacted by (i) close spacing and (ii) increased numbers of stimuli, (iii) did use pre-cues to modulate attention, but (iv) used cues less successfully to counter effects of increasing numbers of distractors. A greater dependence on pre-cues, larger effects of crowding and the impact of increased numbers of distractors all correlated significantly with measures of literacy. These findings extend previous studies of visual crowding of letters in dyslexia to non-complex stimuli. Overall, AwD do not use cues less, but they do use cues less successfully. We conclude that visual attention is an important factor to consider in the aetiology of dyslexia. The results challenge existing theoretical accounts of visual attention deficits, which alone are unable to comprehensively explain the pattern of findings demonstrated here.
Copyright © 2011 Elsevier Ltd. All rights reserved.

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Year:  2011        PMID: 22019772     DOI: 10.1016/j.neuropsychologia.2011.10.005

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


  16 in total

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2.  The link between reading ability and visual spatial attention across development.

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3.  Visual crowding cannot be wholly explained by feature pooling.

Authors:  Edward F Ester; Daniel Klee; Edward Awh
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4.  Knockdown of the candidate dyslexia susceptibility gene homolog dyx1c1 in rodents: effects on auditory processing, visual attention, and cortical and thalamic anatomy.

Authors:  Caitlin E Szalkowski; Anne B Booker; Dongnhu T Truong; Steven W Threlkeld; Glenn D Rosen; Roslyn H Fitch
Journal:  Dev Neurosci       Date:  2013-04-17       Impact factor: 2.984

5.  Atypical balance between occipital and fronto-parietal activation for visual shape extraction in dyslexia.

Authors:  Ying Zhang; Susan Whitfield-Gabrieli; Joanna A Christodoulou; John D E Gabrieli
Journal:  PLoS One       Date:  2013-06-25       Impact factor: 3.240

6.  E-readers are more effective than paper for some with dyslexia.

Authors:  Matthew H Schneps; Jenny M Thomson; Chen Chen; Gerhard Sonnert; Marc Pomplun
Journal:  PLoS One       Date:  2013-09-18       Impact factor: 3.240

7.  Identifying Dyslexia: Link between Maze Learning and Dyslexia Susceptibility Gene, DCDC2, in Young Children.

Authors:  Lisa A Gabel; Kelsey Voss; Evelyn Johnson; Esther R Lindström; Dongnhu T Truong; Erin M Murray; Karla Cariño; Christiana M Nielsen; Steven Paniagua; Jeffrey R Gruen
Journal:  Dev Neurosci       Date:  2021-06-29       Impact factor: 3.421

8.  Altered connectivity of the dorsal and ventral visual regions in dyslexic children: a resting-state fMRI study.

Authors:  Wei Zhou; Zhichao Xia; Yanchao Bi; Hua Shu
Journal:  Front Hum Neurosci       Date:  2015-09-10       Impact factor: 3.169

9.  Shorter lines facilitate reading in those who struggle.

Authors:  Matthew H Schneps; Jenny M Thomson; Gerhard Sonnert; Marc Pomplun; Chen Chen; Amanda Heffner-Wong
Journal:  PLoS One       Date:  2013-08-05       Impact factor: 3.240

10.  A Computational Model of Implicit Memory Captures Dyslexics' Perceptual Deficits.

Authors:  Sagi Jaffe-Dax; Ofri Raviv; Nori Jacoby; Yonatan Loewenstein; Merav Ahissar
Journal:  J Neurosci       Date:  2015-09-02       Impact factor: 6.167

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