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. 2016 Jan 22:7:26.
doi: 10.3389/fpsyg.2016.00026. eCollection 2016.

Music and Dyslexia: A New Musical Training Method to Improve Reading and Related Disorders

Affiliations

Music and Dyslexia: A New Musical Training Method to Improve Reading and Related Disorders

Michel Habib et al. Front Psychol. .

Abstract

Numerous arguments in the recent neuroscientific literature support the use of musical training as a therapeutic tool among the arsenal already available to therapists and educators for treating children with dyslexia. In the present study, we tested the efficacy of a specially-designed Cognitivo-Musical Training (CMT) method based upon three principles: (1) music-language analogies: training dyslexics with music could contribute to improve brain circuits which are common to music and language processes; (2) the temporal and rhythmic features of music, which could exert a positive effect on the multiple dimensions of the "temporal deficit" characteristic of some types of dyslexia; and (3) cross-modal integration, based on converging evidence of impaired connectivity between brain regions in dyslexia and related disorders. Accordingly, we developed a series of musical exercises involving jointly and simultaneously sensory (visual, auditory, somatosensory) and motor systems, with special emphasis on rhythmic perception and production in addition to intensive training of various features of the musical auditory signal. Two separate studies were carried out, one in which dyslexic children received intensive musical exercises concentrated over 18 h during 3 consecutive days, and the other in which the 18 h of musical training were spread over 6 weeks. Both studies showed significant improvements in some untrained, linguistic and non-linguistic variables. The first one yielded significant improvement in categorical perception and auditory perception of temporal components of speech. The second study revealed additional improvements in auditory attention, phonological awareness (syllable fusion), reading abilities, and repetition of pseudo-words. Importantly, most improvements persisted after an untrained period of 6 weeks. These results provide new additional arguments for using music as part of systematic therapeutic and instructional practice for dyslexic children.

Keywords: attention; dyslexia; learning disorders; music therapy; phonology; reading.

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Figures

Figure 1
Figure 1
Categorical perception using a nine steps continuum between the syllables [ba] and [pa]. In the identification test (A) dyslexic children before CMT (red) showed less steep intercategorical boundary than normal readers (blue) but a “normalization,” specifically for B5 and B6 after CMT (green). In the discrimination task (B), dyslexics before CMT (red) seemed to differ from normal readers (blue) for items at or close to the inter-categorical border (median peak in the figure) but these differences vanished after CMT (green).
Figure 2
Figure 2
Syllabic duration task: before CMT, dyslexics (red) performed lower than controls (blue) for words with an unusual lengthening of the penultimate syllables. After the CMT program (green), the dyslexic's level of performance was higher for both type of words with stronger improvements for lengthened words.
Figure 3
Figure 3
Categorical perception in Experiment 2. (A) Identification of syllables [pa] and [ba] within a 9-step acoustical continuum. The hit rate was significantly higher after than before 6-week of CMT for B5 and B6. (B) Discrimination: The hit rate is significantly higher for B4/B5 and B5/B7 pairs (i.e., around the categorical boundary) after than before CMT. *p < 0.05; **p < 0.01.
Figure 4
Figure 4
Phonemic fusion task (in standard-deviations from age norm). Evolution of the level of performance across time. Significant improvements are found for accuracy (*p < 0.05) but not for speed (ns: non significant).
Figure 5
Figure 5
Comparison of letter strings (in standard deviations from age-norm). Evolution of the level of performance across time. Significant improvements from T2 to T3 for speed (Time: **p < 0.01; *p < 0.05) but marginally significant for accuracy (score: *p < 0.05).

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