49
Views
0
CrossRef citations to date
0
Altmetric
Original Articles

Diagnostic performance of a modified visual perception test

ORCID Icon, , , &
Pages 185-193 | Published online: 19 Dec 2022
 

Abstract

Background

During the process of learning to read, the dorsal pathway assesses the visual word form area (VWFA) in focussing on each letter and its sequence. Children with learning difficulty such as dyslexia have immature processing in these areas of the brain. The aim of the study is to modify the dynamic perceptual test to increase its diagnostic value to differentiate between dyslexic and non-dyslexic children.

Methods

Forty children were included divided into two subgroups, control group consists of 20 good reading skills children and study group consists of 20 dyslexic children according to the Arabic version of the dyslexia assessment. All children underwent psychometric, dyslexic evaluation, Phonological awareness skills assessment and the modified dynamic visual perception.

Results

There was statistically significant different between groups on saccadic and distractor tasks. The performance of control children was better than dyslexic children for identification of the optotype presented to them as well as the colour of the arrow.

Conclusion

The distractor direction and colour was the most specific in the modified dynamic perception in differentiating dyslexic from non-dyslexic children.

Author contributions

Conceptualization, Mona Mourad; methodology, Taima Salem, Mayada Elsherif; validation and formal analysis, Mona Mourad, writing original draft preparation, Mayada Elsherif; writing- reviewing and editing, Mona Mourad, Nessrine Hamouda , Rania Abdou.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Log in via your institution

Log in to Taylor & Francis Online

There are no offers available at the current time.

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.