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Expertise Modulates Neural Stimulus-Tracking
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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Society for Neuroscience
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8371925/ https://www.ncbi.nlm.nih.gov/pubmed/34341067 http://dx.doi.org/10.1523/ENEURO.0065-21.2021 |
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author | Brookshire, Geoffrey Mangelsdorf, Heather Harden Sava-Segal, Clara Reis, Katherine Nusbaum, Howard Goldin-Meadow, Susan Casasanto, Daniel |
author_facet | Brookshire, Geoffrey Mangelsdorf, Heather Harden Sava-Segal, Clara Reis, Katherine Nusbaum, Howard Goldin-Meadow, Susan Casasanto, Daniel |
author_sort | Brookshire, Geoffrey |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8371925 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Society for Neuroscience |
record_format | MEDLINE/PubMed |
spelling | pubmed-83719252021-08-18 Expertise Modulates Neural Stimulus-Tracking Brookshire, Geoffrey Mangelsdorf, Heather Harden Sava-Segal, Clara Reis, Katherine Nusbaum, Howard Goldin-Meadow, Susan Casasanto, Daniel eNeuro Research Article: New Research 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. Society for Neuroscience 2021-08-16 /pmc/articles/PMC8371925/ /pubmed/34341067 http://dx.doi.org/10.1523/ENEURO.0065-21.2021 Text en Copyright © 2021 Brookshire et al. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution and reproduction in any medium provided that the original work is properly attributed. |
spellingShingle | Research Article: New Research Brookshire, Geoffrey Mangelsdorf, Heather Harden Sava-Segal, Clara Reis, Katherine Nusbaum, Howard Goldin-Meadow, Susan Casasanto, Daniel Expertise Modulates Neural Stimulus-Tracking |
title | Expertise Modulates Neural Stimulus-Tracking |
title_full | Expertise Modulates Neural Stimulus-Tracking |
title_fullStr | Expertise Modulates Neural Stimulus-Tracking |
title_full_unstemmed | Expertise Modulates Neural Stimulus-Tracking |
title_short | Expertise Modulates Neural Stimulus-Tracking |
title_sort | expertise modulates neural stimulus-tracking |
topic | Research Article: New Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8371925/ https://www.ncbi.nlm.nih.gov/pubmed/34341067 http://dx.doi.org/10.1523/ENEURO.0065-21.2021 |
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