S. H. Anvari, L. J. Trainor, J. Woodside, and B. A. Levy, Relations among musical skills, phonological processing, and early reading ability in preschool children, Journal of Experimental Child Psychology, vol.83, issue.2, pp.111-130, 2002.
DOI : 10.1016/S0022-0965(02)00124-8

S. S. Asaridou and J. M. Mcqueen, Speech and music shape the listening brain: evidence for shared domain-general mechanisms, Frontiers in Psychology, vol.4, 2013.
DOI : 10.3389/fpsyg.2013.00321

K. Banai and M. Ahissar, Musical Experience, Auditory Perception and Reading-Related Skills in Children, PLoS ONE, vol.364, issue.9, 2013.
DOI : 10.1371/journal.pone.0075876.t002

L. Batterink, N. , and H. , Implicit and Explicit Mechanisms of Word Learning in a Narrative Context: An Event-related Potential Study, Journal of Cognitive Neuroscience, vol.19, issue.11, pp.3181-3196, 2011.
DOI : 10.1162/jocn.1996.8.3.231

M. Besson, J. Chobert, M. , and C. , Transfer of Training between Music and Speech: Common Processing, Attention, and Memory, Frontiers in Psychology, vol.2, 2011.
DOI : 10.3389/fpsyg.2011.00094

G. M. Bidelman, S. Hutka, and S. Moreno, Tone Language Speakers and Musicians Share Enhanced Perceptual and Cognitive Abilities for Musical Pitch: Evidence for Bidirectionality between the Domains of Language and Music, PLoS ONE, vol.74, issue.4, 2013.
DOI : 10.1371/journal.pone.0060676.g006

G. M. Bidelman, M. W. Weiss, S. Moreno, A. , and C. , Coordinated plasticity in brainstem and auditory cortex contributes to enhanced categorical speech perception in musicians, European Journal of Neuroscience, vol.35, issue.4, pp.2662-2673, 2014.
DOI : 10.1111/ejn.12627

P. Boersma, D. Weenink, K. Torkildsen, J. V. Lindgren, and M. , Praat: Doing Phonetics by Computer (computer program)''. Available online at: www.praat.org Borgström Substantial gains in word learning ability between 20 and 24 months: a longitudinal ERP study, Brain Lang, vol.149, pp.33-45, 2011.

A. Borovsky, J. L. Elman, and M. Kutas, Once is Enough: N400 Indexes Semantic Integration of Novel Word Meanings from a Single Exposure in Context, Language Learning and Development, vol.9, issue.6, pp.278-302, 2011.
DOI : 10.1080/15475441.2011.614893

A. Borovsky, M. Kutas, and J. Elman, Learning to use words: Event-related potentials index single-shot contextual word learning, Cognition, vol.116, issue.2, 2010.
DOI : 10.1016/j.cognition.2010.05.004
URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2904319

S. Carey, The child as word learner,'' in Linguistic Theory and Psychological Reality, pp.264-293, 1978.

J. Chobert and M. Besson, Musical Expertise and Second Language Learning, Brain Sciences, vol.47, issue.2, pp.923-940, 2013.
DOI : 10.1007/s11881-002-0011-z
URL : http://doi.org/10.3390/brainsci3020923

J. Chobert, C. François, J. Velay, and M. Besson, Twelve Months of Active Musical Training in 8- to 10-Year-Old Children Enhances the Preattentive Processing of Syllabic Duration and Voice Onset Time, Cerebral Cortex, vol.24, issue.4, pp.956-967, 2014.
DOI : 10.1093/cercor/bhs377
URL : https://hal.archives-ouvertes.fr/hal-01384040

J. Chobert, C. Marie, C. François, D. Schön, M. K. Besson et al., Enhanced Passive and Active Processing of Syllables in Musician Children, Journal of Cognitive Neuroscience, vol.10, issue.12, pp.3874-3887, 2011.
DOI : 10.1016/j.neuroimage.2004.08.039
URL : https://hal.archives-ouvertes.fr/hal-01382742

T. Cunillera, E. Càmara, J. M. Toro, J. Marco-pallares, N. Sebastián-galles et al., Time course and functional neuroanatomy of speech segmentation in adults, NeuroImage, vol.48, issue.3, pp.541-553, 2009.
DOI : 10.1016/j.neuroimage.2009.06.069

M. H. Davis and M. G. Gaskell, A complementary systems account of word learning: neural and behavioural evidence, Philosophical Transactions of the Royal Society B: Biological Sciences, vol.24, issue.23, pp.3773-38000111, 2009.
DOI : 10.1523/JNEUROSCI.4587-03.2004

D. Boer, T. Scott, L. S. , N. , and C. A. , ERPs in developmental populations, Event-Related Potentials: A Methods Handbook, pp.263-297, 2005.

R. De-diego-balaguer, J. M. Toro, A. Rodriguez-fornells, and A. Bachoud-lévi, Different Neurophysiological Mechanisms Underlying Word and Rule Extraction from Speech, PLoS ONE, vol.97, issue.11, 2007.
DOI : 10.1371/journal.pone.0001175.t004

F. Delogu, G. Lampis, O. Belardinelli, and M. , Music-to-language transfer effect: may melodic ability improve learning of tonal languages by native nontonal speakers?, Cognitive Processing, vol.256, issue.7, pp.203-207, 2006.
DOI : 10.1007/s10339-006-0146-7

E. Dittinger, M. Barbaroux, M. Imperio, L. Jäncke, S. Elmer et al., Professional Music Training and Novel Word Learning: From Faster Semantic Encoding to Longer-lasting Word Representations, Journal of Cognitive Neuroscience, vol.28, issue.10, pp.1584-1602, 1162.
DOI : 10.1371/journal.pone.0099868
URL : https://hal.archives-ouvertes.fr/hal-01460047

C. Dobel, M. Junghöfer, C. Breitenstein, B. Klauke, S. Knecht et al., New Names for Known Things: On the Association of Novel Word Forms with Existing Semantic Information, Journal of Cognitive Neuroscience, vol.22, issue.6, pp.1251-1261, 2009.
DOI : 10.1111/j.1467-9280.2007.01915.x

C. Dobel, L. Lagemann, and P. Zwitserlood, Non-native phonemes in adult word learning: evidence from the N400m, Philosophical Transactions of the Royal Society B: Biological Sciences, vol.9, issue.6, pp.3697-37090158, 2009.
DOI : 10.1016/S0006-8993(97)00349-1

Y. Du, Q. Zhang, and J. X. Zhang, Does N200 Reflect Semantic Processing????An ERP Study on Chinese Visual Word Recognition, PLoS ONE, vol.4, issue.3, 2014.
DOI : 10.1371/journal.pone.0090794.t004

N. Dumay and M. G. Gaskell, Sleep-Associated Changes in the Mental Representation of Spoken Words, Psychological Science, vol.265, issue.1, pp.35-39, 2007.
DOI : 10.1162/jocn.1997.9.4.534

S. Elmer, J. Hänggi, M. Meyer, J. , and L. , Increased cortical surface area of the left planum temporale in musicians facilitates the categorization of phonetic and temporal speech sounds, Cortex, vol.49, issue.10, pp.2812-2821, 2013.
DOI : 10.1016/j.cortex.2013.03.007

S. Elmer, C. Klein, J. Kühnis, F. Liem, M. Meyer et al., Music and Language Expertise Influence the Categorization of Speech and Musical Sounds: Behavioral and Electrophysiological Measurements, Journal of Cognitive Neuroscience, vol.1252, issue.10, pp.2356-2369, 1162.
DOI : 10.1016/j.neuroimage.2012.05.062

S. Elmer, M. Meyer, J. , L. François, C. Chobert et al., Neurofunctional and Behavioral Correlates of Phonetic and Temporal Categorization in Musically Trained and Untrained Subjects, Cerebral Cortex, vol.22, issue.3, pp.650-658, 2012.
DOI : 10.1093/cercor/bhr142

C. François, F. Jaillet, S. Takerkart, and D. Schön, Faster Sound Stream Segmentation in Musicians than in Nonmusicians, PLoS ONE, vol.70, issue.3, 2014.
DOI : 10.1371/journal.pone.0101340.g005

M. Friedrich, A. D. Friederici, M. Friedrich, I. Wilhelm, J. Born et al., Neurophysiological correlates of online word learning in 14-month-old infants, NeuroReport, vol.19, issue.18, pp.1757-1761, 1038.
DOI : 10.1097/WNR.0b013e328318f014

K. Friston, Ten ironic rules for non-statistical reviewers, NeuroImage, vol.61, issue.4, 2012.
DOI : 10.1016/j.neuroimage.2012.04.018

J. Gandour, D. Wong, M. Lowe, M. Dzemidzic, N. Satthamnuwong et al., A Cross-Linguistic fMRI Study of Spectral and Temporal Cues Underlying Phonological Processing, Journal of Cognitive Neuroscience, vol.50, issue.7, pp.1076-1087, 2002.
DOI : 10.1126/science.1589767

E. M. George, C. , and D. , Music training and working memory: An ERP study, Neuropsychologia, vol.49, issue.5, 2011.
DOI : 10.1016/j.neuropsychologia.2011.02.001

R. L. Gordon, C. M. Shivers, E. A. Wieland, S. A. Kotz, P. J. Yoder et al., Musical rhythm discrimination explains individual differences in grammar skills in children, Developmental Science, vol.46, issue.1, pp.635-644, 2015.
DOI : 10.1111/desc.12230

P. Hagoort, Nodes and networks in the neural architecture for language: Broca's region and beyond, Current Opinion in Neurobiology, vol.28, pp.136-141, 2014.
DOI : 10.1016/j.conb.2014.07.013

A. Hahne, K. Eckstein, and A. D. Friederici, Brain Signatures of Syntactic and Semantic Processes during Children's Language Development, Journal of Cognitive Neuroscience, vol.6, issue.7, pp.1302-1318, 2004.
DOI : 10.1111/j.1469-8986.1987.tb00324.x

Y. Ho, M. Cheung, C. , and A. S. , Music training improves verbal but not visual memory: Cross-sectional and longitudinal explorations in children., Neuropsychology, vol.17, issue.3, 2003.
DOI : 10.1037/0894-4105.17.3.439

M. J. Hofmann and A. M. Jacobs, Interactive activation and competition models and semantic context: From behavioral to brain data, Neuroscience & Biobehavioral Reviews, vol.46, pp.85-104, 2014.
DOI : 10.1016/j.neubiorev.2014.06.011

P. J. Holcomb, S. A. Coffey, N. , and H. J. , Visual and auditory sentence processing: A developmental analysis using event???related brain potentials, Developmental Neuropsychology, vol.6, issue.2-3, pp.203-241, 1992.
DOI : 10.1093/brain/96.3.641

H. Jasper, The ten twenty electrode system of the international federation, Electroencephalogr. Clin. Neurophysiol, vol.10, pp.371-375, 1958.

S. Jentschke and S. Koelsch, Musical training modulates the development of syntax processing in children, NeuroImage, vol.47, issue.2, pp.735-744, 2009.
DOI : 10.1016/j.neuroimage.2009.04.090

C. Junge, A. Cutler, and P. Hagoort, Electrophysiological evidence of early word learning, Neuropsychologia, vol.50, issue.14, 2012.
DOI : 10.1016/j.neuropsychologia.2012.10.012

K. Juottonen, A. Revonsuo, L. , and H. , Dissimilar age influences on two ERP waveforms (LPC and N400) reflecting semantic context effect, Cognitive Brain Research, vol.4, issue.2, pp.99-107, 1996.
DOI : 10.1016/0926-6410(96)00022-5

M. Korkman, U. Kirk, and S. Kemp, NEPSY: A Developmental Neuropsychological Assessment, 1998.

N. Kraus, B. J. Chandrasekaran, S. Elmer, J. , and L. , Music training for the development of auditory skills, Nature Reviews Neuroscience, vol.1169, issue.8, pp.599-605, 1162.
DOI : 10.1038/nrn2882

J. Kühnis, S. Elmer, M. Meyer, J. , and L. , The encoding of vowels and temporal speech cues in the auditory cortex of professional musicians: An EEG study, Neuropsychologia, vol.51, issue.8, 2013.
DOI : 10.1016/j.neuropsychologia.2013.04.007

M. Kutas and K. D. Federmeier, Thirty years and counting: finding meaning in the N400 component of the event, 2011.

M. Kutas and S. A. Hillyard, Reading senseless sentences: brain potentials reflect semantic incongruity, Science, vol.207, issue.4427, pp.203-205, 1980.
DOI : 10.1126/science.7350657

M. Kutas, C. Van-petten, and M. Besson, Event-related potential asymmetries during the reading of sentences, Electroencephalography and Clinical Neurophysiology, vol.69, issue.3, pp.218-233, 1988.
DOI : 10.1016/0013-4694(88)90131-9

C. F. Lima and S. L. Castro, Speaking to the trained ear: Musical expertise enhances the recognition of emotions in speech prosody., Emotion, vol.11, issue.5, pp.1021-1031, 2011.
DOI : 10.1037/a0024521

C. Magne, D. Schön, and M. Besson, Musician Children Detect Pitch Violations in Both Music and Language Better than Nonmusician Children: Behavioral and Electrophysiological Approaches, Journal of Cognitive Neuroscience, vol.19, issue.2, pp.199-211, 2006.
DOI : 10.1016/S1364-6613(00)01816-7

C. Marie, C. Magne, and M. Besson, Musicians and the Metric Structure of Words, Journal of Cognitive Neuroscience, vol.10, issue.2, pp.294-305, 2011.
DOI : 10.1155/2007/30194

L. Markson, P. C. Bloom, S. Moreno, S. L. Castro, and M. Besson, Evidence against a dedicated system for word learning in children doi: 10 Musicians detect pitch violation in a foreign language better than nonmusicians: behavioral and electrophysiological evidence, Nature J. Cogn. Neurosci, vol.385, issue.19, pp.813-815, 1038.

J. Mclaughlin, L. Osterhout, and A. Kim, Neural correlates of second-language word learning: minimal instruction produces rapid change, Nature Neuroscience, vol.58, issue.7, pp.703-704, 1038.
DOI : 10.1126/science.274.5294.1926

A. Mestres-missé, A. Rodriguez-fornells, and T. F. Münte, Watching the Brain during Meaning Acquisition, Cerebral Cortex, vol.17, issue.8, pp.1858-1866, 2007.
DOI : 10.1093/cercor/bhl094

D. E. Meyer and R. W. Schvaneveldt, Facilitation in recognizing pairs of words: Evidence of a dependence between retrieval operations., Journal of Experimental Psychology, vol.90, issue.2, pp.227-234, 1971.
DOI : 10.1037/h0031564

S. Moreno, E. Bialystok, R. Barac, E. G. Schellenberg, N. J. Cepeda et al., Short-Term Music Training Enhances Verbal Intelligence and Executive Function, Psychological Science, vol.3, issue.11, pp.1425-1433, 2011.
DOI : 10.1111/j.1467-7687.2008.00745.x
URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3449320

S. Moreno, Y. Lee, M. Janus, and E. Bialystok, Short-term second language and music training induces lasting functional brain changes in early childhood. Child Dev, pp.394-406, 2015.

S. Moreno, C. Marques, A. Santos, M. Santos, S. L. Castro et al., Musical Training Influences Linguistic Abilities in 8-Year-Old Children: More Evidence for Brain Plasticity, Proc. Natl. Acad. Sci. U S A, pp.712-723, 2007.
DOI : 10.1093/cercor/bhn120

K. J. Pallesen, E. Brattico, C. J. Bailey, A. Korvenoja, J. Koivisto et al., Cognitive Control in Auditory Working Memory Is Enhanced in Musicians, PLoS ONE, vol.14, issue.2, 2010.
DOI : 10.1371/journal.pone.0011120.t003

A. Parbery-clark, A. Tierney, D. L. Strait, and N. Kraus, Musicians have fine-tuned neural distinction of speech syllables, Neuroscience, vol.219, 2012.
DOI : 10.1016/j.neuroscience.2012.05.042

A. D. Patel, Music, Language and The Brain, 2008.
DOI : 10.1093/acprof:oso/9780195123753.001.0001

I. Peretz, A. S. Champod, and K. Hyde, Varieties of Musical Disorders, Annals of the New York Academy of Sciences, vol.68, issue.1, pp.58-75, 2003.
DOI : 10.1196/annals.1284.006

C. A. Perfetti, E. W. Wlotko, H. , and L. A. , Word Learning and Individual Differences in Word Learning Reflected in Event-Related Potentials., Journal of Experimental Psychology: Learning, Memory, and Cognition, vol.31, issue.6, pp.1281-1292, 2005.
DOI : 10.1037/0278-7393.31.6.1281

P. Perruchet and B. Poulin-charronnat, Challenging prior evidence for a shared syntactic processor for language and music, Psychonomic Bulletin & Review, vol.16, issue.2, pp.310-317, 2013.
DOI : 10.3758/s13423-012-0344-5

R. A. Poldrack, A. D. Wagner, M. W. Prull, J. E. Desmond, G. H. Glover et al., Functional Specialization for Semantic and Phonological Processing in the Left Inferior Prefrontal Cortex, NeuroImage, vol.10, issue.1, pp.15-350441, 1999.
DOI : 10.1006/nimg.1999.0441

M. E. Raichle, J. A. Fiez, T. O. Videen, A. M. Macleod, J. V. Pardo et al., Practice-related Changes in Human Brain Functional Anatomy during Nonmotor Learning, Cerebral Cortex, vol.4, issue.1, pp.8-26, 1994.
DOI : 10.1093/cercor/4.1.8

J. C. Raven and D. E. , Standard Progressive Matrices: Sets A, 1976.

A. Rodríguez-fornells, T. Cunillera, A. Mestres-missé, and R. De-diego-balaguer, Neurophysiological mechanisms involved in language learning in adults, Philosophical Transactions of the Royal Society B: Biological Sciences, vol.7, issue.6, pp.3711-37350130, 2009.
DOI : 10.1038/nrn1919

C. Rogalsky, F. Rong, K. Saberi, and G. Hickok, Functional Anatomy of Language and Music Perception: Temporal and Structural Factors Investigated Using Functional Magnetic Resonance Imaging, Journal of Neuroscience, vol.31, issue.10, pp.3843-3852, 2011.
DOI : 10.1523/JNEUROSCI.4515-10.2011

M. D. Rugg, The Effects of Semantic Priming and Word Repetition on Event-Related Potentials, Psychophysiology, vol.15, issue.6, pp.642-647, 1985.
DOI : 10.1037//0096-1523.3.1.1

E. G. Schellenberg, Music Lessons Enhance IQ, Psychological Science, vol.4, issue.3, pp.511-514, 2004.
DOI : 10.1037/0033-2909.113.2.345
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.1028.4424

P. Schneider, M. Scherg, H. G. Dosch, H. J. Specht, A. Gutschalk et al., Morphology of Heschl's gyrus reflects enhanced activation in the auditory cortex of musicians, Nature Neuroscience, vol.5, issue.7, pp.688-694, 1038.
DOI : 10.1038/nn871

D. Schön, C. Magne, and M. Besson, The music of speech: Music training facilitates pitch processing in both music and language, Psychophysiology, vol.6, issue.3, 2004.
DOI : 10.1111/1469-8986.00172.x

L. R. Slevc, Language and music: sound, structure, and meaning, Wiley Interdisciplinary Reviews: Cognitive Science, vol.10, issue.4, pp.483-492, 2012.
DOI : 10.1002/wcs.1186

J. G. Snodgrass and M. Vanderwart, A standardized set of 260 pictures: Norms for name agreement, image agreement, familiarity, and visual complexity., Journal of Experimental Psychology: Human Learning & Memory, vol.6, issue.2, pp.174-215, 1980.
DOI : 10.1037/0278-7393.6.2.174

D. L. Strait, N. Kraus, A. Parbery-clark, A. , and R. , Musical experience shapes top-down auditory mechanisms: Evidence from masking and auditory attention performance, Hearing Research, vol.261, issue.1-2, pp.22-29, 2010.
DOI : 10.1016/j.heares.2009.12.021

D. L. Strait, J. Slater, S. O-'connell, and N. Kraus, Music training relates to the development of neural mechanisms of selective auditory attention, Developmental Cognitive Neuroscience, vol.12, pp.94-104, 2015.
DOI : 10.1016/j.dcn.2015.01.001

J. Tamminen, L. Ralph, M. A. , L. , and P. A. , The Role of Sleep Spindles and Slow-Wave Activity in Integrating New Information in Semantic Memory, Journal of Neuroscience, vol.33, issue.39, pp.15376-15381, 2013.
DOI : 10.1523/JNEUROSCI.5093-12.2013

J. Tamminen, J. D. Payne, R. Stickgold, E. J. Wamsley, and M. G. Gaskell, Sleep Spindle Activity is Associated with the Integration of New Memories and Existing Knowledge, Journal of Neuroscience, vol.30, issue.43, pp.14356-14360, 2010.
DOI : 10.1523/JNEUROSCI.3028-10.2010

M. Tervaniemi, S. Kruck, W. De-baene, E. Schröger, K. Alter et al., Top-down modulation of auditory processing: effects of sound context, musical expertise and attentional focus, European Journal of Neuroscience, vol.6, issue.8, pp.1636-1642, 2004.
DOI : 10.1111/j.1460-9568.2009.06955.x

J. V. Torkildsen, F. Hansen, H. Svangstu, J. M. Smith, L. Simonsen et al., Brain dynamics of word familiarization in 20-month-olds: Effects of productive vocabulary size, Brain and Language, vol.108, issue.2, pp.73-88, 2009.
DOI : 10.1016/j.bandl.2008.09.005

J. V. Torkildsen, T. Sannerud, G. Syversen, R. Thormodsen, H. G. Simonsen et al., Semantic organization of basic-level words in 20-month-olds: An ERP study, Journal of Neurolinguistics, vol.19, issue.6, pp.431-454, 2006.
DOI : 10.1016/j.jneuroling.2006.01.002

A. D. Wagner, D. L. Schacter, M. Rotte, W. Koutstaal, A. Maril et al., Building Memories: Remembering and Forgetting of Verbal Experiences as Predicted by Brain Activity, Science, vol.281, issue.5380, pp.1188-1191, 1998.
DOI : 10.1126/science.281.5380.1188

D. Wechsler, Wechsler Intelligence Scale for Children San Antonio, TX: The Psychological Corporation (WISC-IV), 2003.

P. C. Wong and T. K. Perrachione, Learning pitch patterns in lexical identification by native English-speaking adults, Applied Psycholinguistics, vol.61, issue.04, pp.565-585, 2007.
DOI : 10.1038/nn1083

P. C. Wong, E. Skoe, N. M. Russo, T. Dees, and N. Kraus, Musical experience shapes human brainstem encoding of linguistic pitch patterns, Nature Neuroscience, vol.426, pp.420-422, 1038.
DOI : 10.1038/nn1872

R. J. Zatorre, Predispositions and Plasticity in Music and Speech Learning: Neural Correlates and Implications, Science, vol.10, issue.3, pp.585-589, 2013.
DOI : 10.1038/nrn2575

J. Zuk, C. Benjamin, A. Kenyon, and N. Gaab, Behavioral and neural correlates of executive functioning in musicians and non-musicians, PLoS One, vol.9, 2014.