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1
Contributions of common genetic variants to specific languages and to when a language is learned
In: Sci Rep (2022)
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2
Infant neural features predict future language (Wong et al., 2021) ...
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3
Infant neural features predict future language (Wong et al., 2021) ...
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4
Combination of absolute pitch and tone language experience enhances lexical tone perception
In: Sci Rep (2021)
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5
Effect of Complexity on Speech Sound Development: Evidence From Meta-Analysis Review of Treatment-Based Studies
In: Front Psychol (2021)
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6
Language and nonlanguage factors in foreign language learning: evidence for the learning condition hypothesis
In: NPJ Sci Learn (2021)
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7
A cross-cultural study showing deficits in gaze-language coordination during rapid automatized naming among individuals with ASD
In: Sci Rep (2021)
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8
Neural Fingerprints Underlying Individual Language Learning Profiles
In: J Neurosci (2021)
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9
ASPM-lexical tone association in speakers of a tone language: Direct evidence for the genetic-biasing hypothesis of language evolution
In: Sci Adv (2020)
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10
Musicians show enhanced perception, but not production, of native lexical tones
Wong, Patrick C. M.; Ong, Jia Hoong; Liu, Fang. - : Acoustical Society of America, 2020
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11
Task-General and Acoustic-Invariant Neural Representation of Speech Categories in the Human Brain
Feng, Gangyi; Gan, Zhenzhong; Wang, Suiping. - : Oxford University Press, 2018
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12
Neural preservation underlies speech improvement from auditory deprivation in young cochlear implant recipients
Abstract: The ability to accurately predict speech improvement for young children who use cochlear implants (CIs) would be a first step in the development of a personalized therapy to enhance language development. Despite decades of outcome research, no useful clinical prediction tool exists. An accurate predictive model that relies on routinely obtained presurgical neuroanatomic data has the potential to transform clinical practice while enhancing our understanding of neural organization resulting from auditory deprivation. Using presurgical MRI neuroanatomical data and multivariate pattern analysis techniques, we found that neural systems that were unaffected by auditory deprivation best predicted young CI candidates’ postsurgical speech-perception outcomes. Our study provides an example of how research in cognitive neuroscience can inform basic science and lead to clinical application.
Keyword: PNAS Plus
URL: http://www.ncbi.nlm.nih.gov/pubmed/29339512
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5798370/
https://doi.org/10.1073/pnas.1717603115
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13
Training-induced brain activation and functional connectivity differentiate multi-talker and single-talker speech training
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14
The Tone Atlas, step2 : perceptual salience of Thai, Cantonese, Beijing and Singaporean Mandarin tones for tone and non-tone language listeners
Burnham, Denis K. (R7357); Singh, Leher; Kasisopa, Benjawan (R17619). - : Taiwan, Wenzao Ursuline University of Languages, 2018
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15
Effects of combination of linguistic and musical pitch experience on subcortical pitch encoding
Maggu, Akshay R.; Wong, Patrick C. M.; Antoniou, Mark (R17772). - : U.K., Pergamon Press, 2018
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16
Varying irrelevant phonetic features hinders learning of the feature being trained
Antoniou, Mark; Wong, Patrick C. M.. - : Acoustical Society of America, 2016
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17
Context-dependent plasticity in the subcortical encoding of linguistic pitch patterns
Lau, Joseph C. Y.; Wong, Patrick C. M.; Chandrasekaran, Bharath. - : American Physiological Society, 2016
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18
Varying irrelevant phonetic features hinders learning of the feature being trained
Antoniou, Mark (R17772); Wong, Patrick C. M.. - : U.S., American Institute of Physics, 2016
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19
Neural correlates of indicators of sound change in Cantonese : evidence from cortical and subcortical processes
Maggu, Akshay R.; Liu, Fang; Antoniou, Mark (R17772). - : Switzerland, Frontiers Research Foundation, 2016
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20
Complexity, training paradigm design, and the contribution of memory subsystems to grammar learning
Antoniou, Mark (R17772); Ettlinger, Marc; Wong, Patrick C. M.. - : U.S., PLoS, 2016
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