Evidence map›Paper›PMID 35634200›Full record

ArticleFrontiers in human neuroscience2022

The Neural Representation of a Repeated Standard Stimulus in Dyslexia.

Sara D Beach, Ola Ozernov-Palchik, Sidney C May, Tracy M Centanni, Tyler K Perrachione, Dimitrios Pantazis, John D E Gabrieli

Open access · goldAbstract read
In one paragraph

Article in Frontiers in human neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 34% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 1 country.

Sara D BeachMcGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, United States.
Ola Ozernov-PalchikMcGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, United States.
Sidney C MayMcGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, United States.
Tracy M CentanniMcGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, United States.
Tyler K PerrachioneProgram in Speech and Hearing Bioscience and Technology, Harvard University, Cambridge, MA, United States.
Dimitrios PantazisMcGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, United States.
John D E GabrieliMcGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, United States.
Massachusetts Institute of Technology · USMcGovern Institute for Brain Research · USHarvard University · US

Funding

Neurocognitive Basis of Language Comprehension in Children with DyslexiaF32HD100064 · NICHD · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI OZERNOV-PALCHIK, OLA · 2019 to 2022
$238k
NICHD NIH HHS F32 HD100064
6 · The paper itself

Abstract

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.

Indexed as

adaptationdyslexiamagnetoencephalographymismatchmultivariate pattern analysisneural decodingrepetition

Identifiers

PMID35634200
PMCPMC9133793
OpenAlexW4280558673

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.