| Literature DB >> 29234050 |
Sandro Franceschini1,2, Sara Bertoni3, Tiziana Gianesini4, Simone Gori5,6, Andrea Facoetti3,5.
Abstract
Individuals perceive the wor(l)d hierarchically. Firsty, the global visual scene is processed by the right hemisphere, and later, the local features are perceived by the left hemisphere. Based on this hierarchical analysis, humans evolved unique communication ability: reading. However, for about 10% of people reading acquisition is extremely difficult, they are affected by a heritable neurodevelopmental disorder called dyslexia. Differences in perceiving the wor(l)d might be one of the causes of reading disabilities. Here we show multiple causal links between the global before local perception and learning to read. Five behavioral experiments in 353 children reveal that: (i) a local before global perception characterizes three independent groups of unselected children with dyslexia; (ii) two global before local perception trainings improve reading skills in children with dyslexia; and stringently (iii) pre-reading local before global perception longitudinally predicts future poor readers. Challenging the uni-causal and left-lateralized phonological explanation of dyslexia, our results demonstrate that learning to read depends also on an efficient right neural network for the global analysis of the visual scene. These results provide new insights in learning strategies and pave the way for early identification and possible prevention programs.Entities:
Mesh:
Year: 2017 PMID: 29234050 PMCID: PMC5727118 DOI: 10.1038/s41598-017-17626-1
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379
Figure 1Paper and pencil Navon multiple stimuli naming task and results of Experiments 1 and 2. (a) In the global tasks, children were invited to name aloud the larger figures, independently from the local figures. In contrast, in the local tasks, children were invited to name aloud the smaller figures, independently from the global figures. Global and local figures could be congruent (for example a square composed by squares) or incongruent (a square composed by triangles). (b,c) Experiment 1. An unselected group of children with dyslexia (D) showed greater local interference than TR in global task (b), and lower global interference in local task (c). (d,e) Experiment 2. An unselected group of children with dyslexia, after the reading acceleration program (RAP) training, showed a significant reduction of local interference effect in global task (d), and a significant condition (incongruent vs. congruent) effect in local task (e). Data are mean ± standard errors (SEM).
Figure 2Computerized Navon task and results of Experiments 3, 4 and 5. (a) In the global task, children were invited to discriminate the larger figures (triangle or square) by pressing two different buttons of keyboard, independently from the local figures. In contrast, in the local task, children were invited to discriminate the smaller figures, independently from the global figures. Global and local figures could be congruent (for example a square of squares) or incongruent (a square of triangles). (b,c) Experiment 3. An unselected group of children with dyslexia (D) showed greater local interference than TR in global task (b) and lower global interference in the local task (c). (d,e) A subgroup of children with dyslexia of Experiment 3 were treated with action video game (AVG) and non action video game training in Experiment 4. Only after the AVG training children with dyslexia showed a significant reduction of local interference effect in the global task (d) and a significant increase of global interference effect in the local task (e). (f,g) Experiment 5. In an unselected group of prereading children, global and local visual perception at kindergarten were measured and their reading abilities at the end of the first grade were longitudinally investigated. Future PR showed already at pre-reading stage a greater local interference than future TR in the global task (f) and lower global interference in the local task (g). Data are mean ± standard errors (SEM).