The Neural Representation of a Repeated Standard Stimulus in Dyslexia.

adaptation dyslexia magnetoencephalography mismatch multivariate pattern analysis neural decoding repetition

Journal

Frontiers in human neuroscience
ISSN: 1662-5161
Titre abrégé: Front Hum Neurosci
Pays: Switzerland
ID NLM: 101477954

Informations de publication

Date de publication:
2022
Historique:
received: 27 11 2021
accepted: 19 04 2022
entrez: 31 5 2022
pubmed: 1 6 2022
medline: 1 6 2022
Statut: epublish

Résumé

The neural representation of a repeated stimulus is the standard against which a deviant stimulus is measured in the brain, giving rise to the well-known mismatch response. It has been suggested that individuals with dyslexia have poor implicit memory for recently repeated stimuli, such as the train of standards in an oddball paradigm. Here, we examined how the neural representation of a standard emerges over repetitions, asking whether there is less sensitivity to repetition and/or less accrual of "standardness" over successive repetitions in dyslexia. We recorded magnetoencephalography (MEG) as adults with and without dyslexia were passively exposed to speech syllables in a roving-oddball design. We performed time-resolved multivariate decoding of the MEG sensor data to identify the neural signature of standard vs. deviant trials, independent of stimulus differences. This "multivariate mismatch" was equally robust and had a similar time course in the two groups. In both groups, standards generated by as few as two repetitions were distinct from deviants, indicating normal sensitivity to repetition in dyslexia. However, only in the control group did standards become increasingly different from deviants with repetition. These results suggest that many of the mechanisms that give rise to neural adaptation as well as mismatch responses are intact in dyslexia, with the possible exception of a putatively predictive mechanism that successively integrates recent sensory information into feedforward processing.

Identifiants

pubmed: 35634200
doi: 10.3389/fnhum.2022.823627
pmc: PMC9133793
doi:

Types de publication

Journal Article

Langues

eng

Pagination

823627

Subventions

Organisme : NICHD NIH HHS
ID : F32 HD100064
Pays : United States

Informations de copyright

Copyright © 2022 Beach, Ozernov-Palchik, May, Centanni, Perrachione, Pantazis and Gabrieli.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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Auteurs

Sara D Beach (SD)

McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, United States.
Program in Speech and Hearing Bioscience and Technology, Harvard University, Cambridge, MA, United States.

Ola Ozernov-Palchik (O)

McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, United States.

Sidney C May (SC)

McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, United States.

Tracy M Centanni (TM)

McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, United States.

Tyler K Perrachione (TK)

Program in Speech and Hearing Bioscience and Technology, Harvard University, Cambridge, MA, United States.
Department of Speech, Language and Hearing Sciences, Boston University, Boston, MA, United States.

Dimitrios Pantazis (D)

McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, United States.

John D E Gabrieli (JDE)

McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, United States.
Program in Speech and Hearing Bioscience and Technology, Harvard University, Cambridge, MA, United States.

Classifications MeSH