AI Article Synopsis

  • The brain uses low-frequency activity to synchronize with sounds and movements, aiding in the prediction of timing in language and music.
  • Researchers conducted a study to determine if this ability, known as stimulus-tracking, relies on general expertise rather than specific language skills.
  • Findings revealed that while both sign language experts and ballet dancers showed enhanced tracking related to their respective disciplines, the underlying mechanisms are likely based on general predictive abilities rather than specific to language alone.

Article Abstract

How does the brain anticipate information in language? When people perceive speech, low-frequency (<10 Hz) activity in the brain synchronizes with bursts of sound and visual motion. This phenomenon, called cortical stimulus-tracking, is thought to be one way that the brain predicts the timing of upcoming words, phrases, and syllables. In this study, we test whether stimulus-tracking depends on domain-general expertise or on language-specific prediction mechanisms. We go on to examine how the effects of expertise differ between frontal and sensory cortex. We recorded electroencephalography (EEG) from human participants who were experts in either sign language or ballet, and we compared stimulus-tracking between groups while participants watched videos of sign language or ballet. We measured stimulus-tracking by computing coherence between EEG recordings and visual motion in the videos. Results showed that stimulus-tracking depends on domain-general expertise, and not on language-specific prediction mechanisms. At frontal channels, fluent signers showed stronger coherence to sign language than to dance, whereas expert dancers showed stronger coherence to dance than to sign language. At occipital channels, however, the two groups of participants did not show different patterns of coherence. These results are difficult to explain by entrainment of endogenous oscillations, because neither sign language nor dance show any periodicity at the frequencies of significant expertise-dependent stimulus-tracking. These results suggest that the brain may rely on domain-general predictive mechanisms to optimize perception of temporally-predictable stimuli such as speech, sign language, and dance.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8371925PMC
http://dx.doi.org/10.1523/ENEURO.0065-21.2021DOI Listing

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