Is there evidence for a noisy computation deficit in developmental dyslexia? - Aix-Marseille Université Accéder directement au contenu
Article Dans Une Revue Frontiers in Human Neuroscience Année : 2022

Is there evidence for a noisy computation deficit in developmental dyslexia?

Résumé

The noisy computation hypothesis of developmental dyslexia (DD) is particularly appealing because it can explain deficits across a variety of domains, such as temporal, auditory, phonological, visual and attentional processes. A key prediction is that noisy computations lead to more variable and less stable word representations. A way to test this hypothesis is through repetition of words, that is, when there is noise in the system, the neural signature of repeated stimuli should be more variable. The hypothesis was tested in an functional magnetic resonance imaging experiment with dyslexic and typical readers by repeating words twelve times. Variability measures were computed both at the behavioral and neural levels. At the behavioral level, we compared the standard deviation of reaction time distributions of repeated words. At the neural level, in addition to standard univariate analyses and measures of intra-item variability, we also used multivariate pattern analyses (representational similarity and classification) to find out whether there was evidence for noisier representations in dyslexic readers compared to typical readers. Results showed that there were no significant differences between the two groups in any of the analyses despite robust results within each group (i.e., high representational similarity between repeated words, good classification of words vs. non-words). In summary, there was no evidence in favor of the idea that dyslexic readers would have noisier neural representations than typical readers.
Fichier principal
Vignette du fichier
2022_YufeiTan_neural_noise_fnhum-16-919465.pdf (5.58 Mo) Télécharger le fichier
Origine : Fichiers éditeurs autorisés sur une archive ouverte

Dates et versions

hal-03793897 , version 1 (02-10-2022)

Licence

Paternité

Identifiants

Citer

Yufei Tan, Valérie Chanoine, Eddy Cavalli, Jean-Luc Anton, Johannes Ziegler. Is there evidence for a noisy computation deficit in developmental dyslexia?. Frontiers in Human Neuroscience, 2022, 16, pp.1-18. ⟨10.3389/fnhum.2022.919465⟩. ⟨hal-03793897⟩
95 Consultations
93 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More