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Related Experiment Video

Updated: May 8, 2026

Examining Online Syntactic Processing of Spoken Complex Sentences in Chinese Using Dual-Modal Interference Tasks
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Temporal Constraints on Language Processing: Syntactic Priming in Broca's Aphasia.

A D Friederici1, K Kilborn

  • 1Max Planck Institut für Psycholinguistik, The Netherlands.

Journal of Cognitive Neuroscience
|August 24, 2013
PubMed
Summary
This summary is machine-generated.

Agrammatic Broca

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Area of Science:

  • Neurolinguistics
  • Cognitive Neuroscience
  • Psycholinguistics

Background:

  • Agrammatic comprehension in Broca's aphasia is often attributed to structural language deficits.
  • An alternative hypothesis suggests a computational deficit related to temporal processing constraints.
  • Understanding the temporal dynamics of linguistic information activation is crucial for parsing.

Purpose of the Study:

  • To test whether agrammatic comprehension stems from computational or structural language deficits.
  • To investigate the role of temporal constraints in linguistic information activation for Broca's aphasics.
  • To examine the effect of interstimulus interval (ISI) on syntactic priming in aphasic comprehension.

Main Methods:

  • Two experiments employed a crossmodal syntactic priming paradigm.
  • Auditory sentence fragments (primes) were paired with visually presented words (targets).
  • Interstimulus intervals (ISI) of 0 msec and 200 msec were used to manipulate processing time.

Main Results:

  • With a 0 msec ISI, Broca's aphasics showed a grammaticality effect but were slower overall.
  • With a 200 msec ISI, Broca's aphasics demonstrated faster decision times compared to the 0 msec condition.
  • Control groups consistently showed grammaticality effects across different ISIs.

Conclusions:

  • Agrammatic Broca's aphasics retain syntactic knowledge; their comprehension deficits arise from impaired temporal processing.
  • Language processing can be disrupted when the timing of linguistic information activation deviates from normal patterns.
  • Findings support a computational deficit model for agrammatic comprehension, emphasizing temporal constraints.