Visual Attention Span Mobilisation for Dyslexia
- Conditions
- DyslexiaVisual Attention Span Deficit
- Registration Number
- NCT05201235
- Lead Sponsor
- Humans Matter
- Brief Summary
The aim of the study is to evaluate the efficiency of the medical device MAEVAD in improving the reading skills of children with dyslexia.
- Detailed Description
MAEVAD is a digital therapy specifically designed to improve the visual attention (VA) span of children with dyslexia. Dyslexia is characterized by a specific and significant impairment in reading and/or writing production and spelling. Some profiles of children with dyslexia show a deficit in VA span, characterized by a decrease in the number of distinct visual elements that can be processed simultaneously. VA span plays a critical role in the acquisition of reading skills and specific knowledge of word spelling. Brain regions involved in visual-attentional skills are under-activated in dyslexic children with VA deficits and can be reactivated following specific and intensive VA span training.
In this study 150 children with dyslexia will be randomized in tow groups. On the first group children will be trained first with MAEVAD then with a control training that does not stimulate the VA span. On contrary, on the second group children will first perform the control training and then MAEVAD.
For each intervention the sessions will lasts 15 minutes. 5 sessions are planned per weeks for 6 weeks.
Recruitment & Eligibility
- Status
- COMPLETED
- Sex
- All
- Target Recruitment
- 74
- School children from CE2 to CM2, aged 8 to 11 years
- Dyslexic children with a VA span deficit (composite visual-attention span below the fifteenth percentile and a letter threshold above or equal to the twentieth percentile with the - - - Evadys(c) battery)
- Established diagnosis of Dyslexia
- Children whose parents/legal guardians have signed informed consent and agree to participate in the study
- Children whose first language is French or who have been educated in French since kindergarten
- Raven's Progressive Matrices score above the 20th percentile or a WISC IV or V Verbal Comprehension Index or WISC IV or V Perceptual/Fluid Reasoning Index above 85 or documented/objectifiable absence of intellectual deficit
- Child with access to a computer
- Normal or corrected vision and audition
- Attention deficit hyperactivity disorder,dysphasia, dyspraxia, Autism Spectrum Disorder
- Neurological disorders
- Children who have missed 3 months or more of school in the current or previous year (excluding lockdown)
- Children not affiliated to a social security scheme
Study & Design
- Study Type
- INTERVENTIONAL
- Study Design
- CROSSOVER
- Primary Outcome Measures
Name Time Method Reading speed 26 weeks to baseline Measure of reding time from texts of 122 to 152 words
- Secondary Outcome Measures
Name Time Method Orthographic skills 26 weeks to baseline Lexical-spelling judgment (Accuracy and time) Words and pseudowords dictation (Accuracy)
Reading skills 26 weeks to baseline Word and pseudoword reading tests (reding time and accuracy) Text reading (reading time and accuracy)
VA Span 26 weeks to baseline Evadys test : EVADYS(c) provides a reliable diagnosis of visual-attention span disorder. The software includes three versions of the global and partial report tests, each adapted to a given age group.
Phonologic skills 26 weeks to baseline Evalec(c) test : The child will have to delete, orally, the first phoneme of the pseudowords presented on the screen.
12 pseudowords with a consonant-vowel-consonant structure and 12 with a consonant-consonant-vowel structure are presented one by one on the screen.Mathematical skills 18 weeks to baseline DeCaLigne(c) and Examath(c): The child will have to find the position of a number on a numerical line and answer mental calculation.
Related Research Topics
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Trial Locations
- Locations (55)
MARTINELLI Karen
🇫🇷Ajaccio, France
BERARD Marine
🇫🇷Albertville, France
CARCEY-CADET Elise
🇫🇷Albertville, France
KOUASSI-PUJOL Marie
🇫🇷Albi, France
CLAVIER-MARCOUX Laetitia
🇫🇷Antibes, France
BOCCOGNANI Jordane
🇫🇷Argences-en-Aubrac, France
CHAUVET Clémence
🇫🇷Arles, France
CHABERT Claire
🇫🇷Bagnères-de-Bigorre, France
SCHMITT Véronique
🇫🇷Biganos, France
CRABÉ Marion
🇫🇷Billère, France
Scroll for more (45 remaining)MARTINELLI Karen🇫🇷Ajaccio, France