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Using Cholesky Decomposition to Explore Individual Differences in Longitudinal Relations between Reading Skills
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Robust neurocognitive individual differences in grammatical agreement processing: A latent variable approach.

Darren Tanner1

  • 1Department of Linguistics, Neuroscience Program, Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, USA.

Cortex; a Journal Devoted to the Study of the Nervous System and Behavior
|December 4, 2018
PubMed
Summary
This summary is machine-generated.

Individual brain responses to grammatical errors vary significantly, even in proficient speakers. Average brain activity may not represent typical language processing for many individuals.

Keywords:
ERPGrammatical agreementIndividual differencesLANN400P600

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Area of Science:

  • Cognitive Neuroscience
  • Psycholinguistics
  • Electrophysiology

Background:

  • Neurocognitive models often assume uniform neural responses in language processing.
  • Individual differences in neural activity during language comprehension are increasingly recognized.
  • Previous research suggests variability in brain responses, but systematic analysis in highly literate populations is limited.

Purpose of the Study:

  • To investigate individual differences in neural activity elicited by grammatical agreement anomalies in highly literate, monolingual English speakers.
  • To determine if variability in event-related brain potentials (ERPs) exists across different grammatical constructions and presentation methods.
  • To explore the relationship between individual differences in neural responses and factors like language experience and working memory capacity.

Main Methods:

  • Analysis of event-related brain potentials (ERPs) in 114 highly literate, monolingual English speakers.
  • Examination of responses to subject-verb agreement anomalies realized through inflectional morphology and lexical alternations.
  • Comparison of ERPs recorded using rapid serial visual presentation and self-paced reading.
  • Multilevel latent variable regression to assess correlations with language experience and working memory.

Main Results:

  • Systematic variability was observed in ERPs, ranging from N400 to P600 dominant responses, for grammatical agreement anomalies.
  • This response variability was consistent across different grammatical realization types (morphological vs. lexical) and presentation methods.
  • Individual differences in brain response amplitude and type did not correlate with language experience or verbal working memory capacity.
  • Response patterns showed strong correlations across different agreement conditions.

Conclusions:

  • Grand mean analyses may not accurately represent individual language processing dynamics.
  • Significant individual variation in neural engagement during grammatical processing occurs even in highly proficient speakers and simple sentences.
  • Findings challenge the assumption of homogenous neural responses in language processing research and have implications for studies involving atypical populations.