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Central Auditory Tests to Track Cognitive Function in People With HIV: Longitudinal Cohort Study
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In: JMIR Form Res (2021)
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Auditory Processing Differences in Toddlers With Autism Spectrum Disorder
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In: J Speech Lang Hear Res (2020)
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Sex differences in subcortical auditory processing only partially explain higher prevalence of language disorders in males
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In: Hear Res (2020)
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Distinct Rhythmic Abilities Align With Phonological Awareness And Rapid Naming In School-Age Children
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In: Cogn Process (2020)
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Stable auditory processing underlies phonological awareness in typically developing preschoolers
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In: Brain Lang (2019)
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Analyzing the FFR: A tutorial for decoding the richness of auditory function
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In: Hear Res (2019)
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Play Sports for a Quieter Brain: Evidence From Division I Collegiate Athletes
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In: Sports Health (2019)
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Music training enhances the automatic neural processing of foreign speech sounds
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In: ISSN: 2045-2322 ; EISSN: 2045-2322 ; Scientific Reports ; https://hal.archives-ouvertes.fr/hal-02446763 ; Scientific Reports, Nature Publishing Group, 2017, 7 (1), ⟨10.1038/s41598-017-12575-1⟩ (2017)
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Short-term learning and memory:training and perceptual learning
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Dyslexia risk gene relates to representation of sound in the auditory brainstem
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Music training enhances the automatic neural processing of foreign speech sounds
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Dyslexia risk gene relates to representation of sound in the auditory brainstem
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Native language shapes automatic neural processing of speech
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In: ISSN: 0028-3932 ; EISSN: 1873-3514 ; Neuropsychologia ; https://hal.archives-ouvertes.fr/hal-01431302 ; Neuropsychologia, Elsevier, 2016, 89, pp.57-65. ⟨10.1016/j.neuropsychologia.2016.05.033⟩ (2016)
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Native language shapes automatic neural processing of speech
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In: ISSN: 0028-3932 ; EISSN: 1873-3514 ; Neuropsychologia ; https://hal.archives-ouvertes.fr/hal-03588420 ; Neuropsychologia, Elsevier, 2016, 89, pp.57-65. ⟨10.1016/j.neuropsychologia.2016.05.033⟩ (2016)
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Hemispheric Asymmetry of Endogenous Neural Oscillations in Young Children: Implications for Hearing Speech In Noise
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Abstract:
Speech signals contain information in hierarchical time scales, ranging from short-duration (e.g., phonemes) to long-duration cues (e.g., syllables, prosody). A theoretical framework to understand how the brain processes this hierarchy suggests that hemispheric lateralization enables specialized tracking of acoustic cues at different time scales, with the left and right hemispheres sampling at short (25 ms; 40 Hz) and long (200 ms; 5 Hz) periods, respectively. In adults, both speech-evoked and endogenous cortical rhythms are asymmetrical: low-frequency rhythms predominate in right auditory cortex, and high-frequency rhythms in left auditory cortex. It is unknown, however, whether endogenous resting state oscillations are similarly lateralized in children. We investigated cortical oscillations in children (3–5 years; N = 65) at rest and tested our hypotheses that this temporal asymmetry is evident early in life and facilitates recognition of speech in noise. We found a systematic pattern of increasing leftward asymmetry for higher frequency oscillations; this pattern was more pronounced in children who better perceived words in noise. The observed connection between left-biased cortical oscillations in phoneme-relevant frequencies and speech-in-noise perception suggests hemispheric specialization of endogenous oscillatory activity may support speech processing in challenging listening environments, and that this infrastructure is present during early childhood.
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Keyword:
Article
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URL: http://www.ncbi.nlm.nih.gov/pubmed/26804355 https://doi.org/10.1038/srep19737 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4726126/
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Development of subcortical speech representation in human infants
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Stability and Plasticity of Auditory Brainstem Function Across the Lifespan
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Bilingualism increases neural response consistency and attentional control: Evidence for sensory and cognitive coupling
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