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Fast and slow rhythms of naturalistic reading revealed by combined eye-tracking and electroencephalography

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Henke,  Lena
Max Planck Research Group Language Cycles, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Meyer,  Lars       
Max Planck Research Group Language Cycles, MPI for Human Cognitive and Brain Sciences, Max Planck Society;
Department of Phoniatrics and Pedaudiology, Münster University, Germany;

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Citation

Henke, L., Lewis, A. G., & Meyer, L. (2023). Fast and slow rhythms of naturalistic reading revealed by combined eye-tracking and electroencephalography. The Journal of Neuroscience, 43(24), 4461-4469. doi:10.1523/JNEUROSCI.1849-22.2023.


Cite as: https://hdl.handle.net/21.11116/0000-000D-2F23-8
Abstract
Neural oscillations are thought to support speech and language processing. They may not only inherit acoustic rhythms, but might also impose endogenous rhythms onto processing. In support of this, we here report that human (both, male and female) eye movements during naturalistic reading exhibit rhythmic patterns that show frequency-selective coherence with the electroencephalogram (EEG)-in the absence of any stimulation rhythm. Periodicity was observed in two distinct frequency bands: First, word-locked saccades at 4-5 Hertz display coherence with whole-head theta-band activity. Second, fixation durations fluctuate rhythmically at ∼1 Hertz, in coherence with occipital delta-band activity. This latter effect was additionally phase-locked to sentence endings, suggesting a relationship with the formation of multi-word chunks. Taken together, eye movements during reading contain rhythmic patterns that occur in synchrony with oscillatory brain activity. This suggests that linguistic processing imposes preferred processing time scales onto reading, largely independent of actual physical rhythms in the stimulus.SIGNIFICANCE STATEMENT:The sampling, grouping, and transmission of information is supported by rhythmic brain activity, so-called neural oscillations. In addition to sampling external stimuli, such rhythms may also be endogenous, affecting processing from the inside out. In particular, endogenous rhythms may impose their pace onto language processing. Studying this is challenging because speech contains physical rhythms that mask endogenous activity. To overcome this challenge, we turned to naturalistic reading, where text does not require the reader to sample in a specific rhythm. We observed rhythmic patterns of eye movements that are synchronized to brain activity as recorded with EEG. This rhythmicity is not imposed by the external stimulus, which indicates that rhythmic brain activity may serve as a pacemaker for language processing.