Neural correlates of statistical learning in developmental dyslexia: An electroencephalography study

Tatsuya Daikoku*, Sebastian Jentschke, Vera Tsogli, Kirstin Bergström, Thomas Lachmann, Merav Ahissar, Stefan Koelsch

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Scopus citations


The human brain extracts statistical regularities from the surrounding environment in a process called statistical learning. Behavioural evidence suggests that developmental dyslexia affects statistical learning. However, surprisingly few studies have assessed how developmental dyslexia affects the neural processing underlying this type of learning. We used electroencephalography to explore the neural correlates of an important aspect of statistical learning – sensitivity to transitional probabilities – in individuals with developmental dyslexia. Adults diagnosed with developmental dyslexia (n = 17) and controls (n = 19) were exposed to a continuous stream of sound triplets. Every so often, a triplet ending had a low transitional probability given the triplet's first two sounds (“statistical deviants”). Furthermore, every so often a triplet ending was presented from a deviant location (“acoustic deviants”). We examined mismatch negativity elicited by statistical deviants (sMMN), and MMN elicited by location deviants (i.e., acoustic changes). Acoustic deviants elicited a MMN which was larger in the control group than in the developmental dyslexia group. Statistical deviants elicited a small, yet significant, sMMN in the control group, but not in the developmental dyslexia group. However, the difference between the groups was not significant. Our findings indicate that the neural mechanisms underlying pre-attentive acoustic change detection and implicit statistical auditory learning are both affected in developmental dyslexia.

Original languageAmerican English
Article number108592
JournalBiological Psychology
StatePublished - Jul 2023

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  • Developmental dyslexia
  • Electroencephalography
  • Statistical learning


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