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FMRI-based identity classification accuracy in left temporal and frontal regions predicts speaker recognition performance
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In: Sci Rep (2021)
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Enhanced Neonatal Brain Responses To Sung Streams Predict Vocabulary Outcomes By Age 18 Months
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In: ISSN: 2045-2322 ; EISSN: 2045-2322 ; Scientific Reports ; https://hal.archives-ouvertes.fr/hal-01793454 ; Scientific Reports, Nature Publishing Group, 2017, 7 (1), ⟨10.1038/s41598-017-12798-2⟩ (2017)
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Abstract:
International audience ; Words and melodies are some of the basic elements infants are able to extract early in life from the auditory input. Whether melodic cues contained in songs can facilitate word-form extraction immediately after birth remained unexplored. Here, we provided converging neural and computational evidence of the early benefit of melodies for language acquisition. Twenty-eight neonates were tested on their ability to extract word-forms from continuous flows of sung and spoken syllabic sequences. We found different brain dynamics for sung and spoken streams and observed successful detection of word-form violations in the sung condition only. Furthermore, neonatal brain responses for sung streams predicted expressive vocabulary at 18 months as demonstrated by multiple regression and cross-validation analyses. These findings suggest that early neural individual differences in prosodic speech processing might be a good indicator of later language outcomes and could be considered as a relevant factor in the development of infants' language skills.
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Keyword:
[SCCO.NEUR]Cognitive science/Neuroscience
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URL: https://doi.org/10.1038/s41598-017-12798-2
https://hal.archives-ouvertes.fr/hal-01793454
https://hal.archives-ouvertes.fr/hal-01793454/document
https://hal.archives-ouvertes.fr/hal-01793454/file/s41598-017-12798-2.pdf
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| 3 |
Enhanced Neonatal Brain Responses To Sung Streams Predict Vocabulary Outcomes By Age 18 Months
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| 4 |
Enhanced Neonatal brain responses to sung streams predict vocabulary outcomes by age 18 months
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Faster Sound Stream Segmentation in Musicians than in Nonmusicians
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In: ISSN: 1932-6203 ; EISSN: 1932-6203 ; PLoS ONE ; https://hal.archives-ouvertes.fr/hal-02062401 ; PLoS ONE, Public Library of Science, 2014, 9 (7), pp.e101340. ⟨10.1371/journal.pone.0101340⟩ (2014)
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Faster Sound Stream Segmentation in Musicians than in Nonmusicians
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Faster Sound Stream Segmentation In Musicians Than In Nonmusicians
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