bioRxivNeuroscience
Evaluating the timecourses of morpho-orthographic, lexical, and grammatical processing following rapid parallel visual presentation: an EEG investigation in English.
Donald G. DunaganiD, Tyson Jordan, John Hale, Liina Pylkkänen AiD, Dustin Alfonso Chacón
Abstract
Theories of language processing - and typical experimental methodologies - emphasize the word-by-word processing of sentences. This paradigm is good for approximating speech or careful text reading, but arguably, not for the common, cursory glances used while reading short sentences (e.g., cellphone notifications, social media posts). How can we interpret a sentence in a single glance? In an electroencephalography (EEG) study, brain responses to grammatical sentences (the dogs chase a ball) presented for 200ms diverged from non-lexical consonant strings (thj rjxb zkhtb w lhct) [~]160ms post-sentence onset and from scrambled constructions (a dogs chase ball the) [~]250ms post-sentence onset, demonstrating - at different time points - rapid recognition and cursory analysis of linguistic stimuli. In the grammatical sentences, unigram probability correlated with EEG data [~]150-300ms post-sentence onset, and probability of the word given its context estimated by BERT correlated with EEG data after [~]700-800ms. EEG responses did not diverge between grammatical sentences and their counterparts with ungrammatical agreement (the dogs chases a ball), although EEG responses did diverge for plural vs. singular morphology at [~]200ms. These results suggest that at-a-glance reading is possible, based on coactivation of individual lexical items, morphological structures, and constituent structure at [~]200-300ms, but that words are not integrated into a coherent syntactic/semantic analysis, as evidenced by the substantially later responses to BERT probability and the absence of sensitivity to agreement errors.
- organism: human
- assay: electronic health records
- research focus: cell type annotation
- approach: statistical model
- Citations
- 13
- FWCI
- 3.15
- Field percentile
- top 8%
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- A Unified Neural Timecourse for Words, Phrases, and Sentences: MEG Evidence from Parallel Presentation
Nigel Flower, Liina Pylkkänen A·bioRxiv·Nov 17, 2025
- Sentence superiority in the reading brain
Stéphane Dufau, Jeremy Yeaton, … Jonathan Grainger B·NeuropsychologiaPeer-reviewed·Jun 1, 2024
- Grammatical category and the neural processing of phrases.
Amelia Burroughs, Nina Kazanina, Conor J Houghton·Scientific ReportsPeer-reviewed·Jan 28, 2021
- The spatiotemporal dynamics of bottom-up and top-down processing during at-a-glance reading
Nigel Flower, Liina Pylkkänen A·Journal of NeurosciencePeer-reviewed·Oct 17, 2024
- Dynamic modeling of EEG responses to natural speech reveals earlier processing of predictable words
Jin Dou, Andrew James Anderson, … Edmund C. Lalor·PLoS Computational BiologyPeer-reviewed·Apr 28, 2025
- Investigating brain mechanisms underlying natural reading by co-registering eye tracking with combined EEG and MEG
Béla Weiss, Felix R. Dreyer, … Olaf Hauk·bioRxiv·Jul 9, 2021