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Music and language side by side in the brain: a PET study of the generation of melodies and sentences
Abstract
Parallel generational tasks for music and language were compared using positron emission tomography. Amateur musicians vocally improvised melodic or linguistic phrases in response to unfamiliar, auditorily presented melodies or phrases. Core areas for generating melodic phrases appeared to be in left Brodmann area (BA) 45, right BA 44, bilateral temporal planum polare, lateral BA 6, and pre-SMA. Core areas for generating sentences seemed to be in bilateral posterior superior and middle temporal cortex (BA 22, 21), left BA 39, bilateral superior frontal (BA 8, 9), left inferior frontal (BA 44, 45), anterior cingulate, and pre-SMA. Direct comparisons of the two tasks revealed activations in nearly identical functional brain areas, including the primary motor cortex, supplementary motor area, Broca's area, anterior insula, primary and secondary auditory cortices, temporal pole, basal ganglia, ventral thalamus, and posterior cerebellum. Most of the differences between melodic and sentential generation were seen in lateralization tendencies, with the language task favouring the left hemisphere. However, many of the activations for each modality were bilateral, and so there was significant overlap. While clarification of this overlapping activity awaits higher-resolution measurements and interventional assessments, plausible accounts for it include component sharing, interleaved representations, and adaptive coding. With these and related findings, we outline a comparative model of shared, parallel, and distinctive features of the neural systems supporting music and language. The model assumes that music and language show parallel combinatoric generativity for complex sound structures (phonology) but distinctly different informational content (semantics).
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“no speech specific areas were identified when speech was compared to nonspeech motor functions (Gelfand and Bookheimer, 2003; Brown et al., 2006).”
From A review and synthesis of the first 20years of PET and fMRI studies of heard speech, spoken language and reading (2012) · cites this paper as Brown et al., 2006
In the citing paper
“All the above areas (left anterior insula, bilateral premotor and sensorimotor cortices, posterior cerebellum, SMA, thalamus and striatum) were activated for producing melodies (Brown et al., 2006) and whistling (Dresel et al., 2005) as well as speech.”
From A review and synthesis of the first 20years of PET and fMRI studies of heard speech, spoken language and reading (2012) · cites this paper as Brown et al., 2006
Citations
Cites
The assessment and analysis of handedness: The Edinburgh inventory
Oldfield, R. C. (1971) · Neuropsychologia · doi:10.1016/0028-3932(71)90067-4 · Cited by 35,900
The faculty of language: what is it, who has it, and how did it evolve?
Hauser, M. D., Chomsky, N., & Fitch, W. T. (2002) · Science · doi:10.1126/science.298.5598.1569 · Cited by 5,189
Jackendoff, R. S. (2002) · doi:10.1093/acprof:oso/9780198270126.001.0001 · Cited by 4,542
Chomsky, N. A. D. T. (1980) · Behavioral and Brain Sciences · doi:10.1017/s0140525x00001515 · Cited by 2,935
Smith, T. L., & Chomsky, N. (1982) · The Philosophical Review · doi:10.2307/2184681 · Cited by 2,800
The spatial and temporal signatures of word production components
Indefrey, P., & Levelt, W. J. M. (2004) · Cognition · doi:10.1016/j.cognition.2002.06.001 · Cited by 2,144
Foundations of Language: Brain, Meaning, Grammar, Evolution
Jackendoff, R. S. (2002) · Cited by 1,858
A Suggestion for Using Powerful and Informative Tests of Normality
D’Agostino, R. B., Belanger, A. J., & D’Agostino, R. B. (1990) · The American Statistician · doi:10.1080/00031305.1990.10475751 · Cited by 1,809
A Suggestion for Using Powerful and Informative Tests of Normality
D'agostino, R. B., Belanger, A., & D'agostino, R. B. (1990) · The American Statistician · doi:10.2307/2684359 · Cited by 1,809
Motor Areas of the Medial Wall: A Review of Their Location and Functional Activation
Picard, N., & Strick, P. L. (1996) · Cerebral Cortex · doi:10.1093/cercor/6.3.342 · Cited by 1,712
Flagged first, then by citations
Research works printed but not linked: 3
- Hellige J.B., 2002, Hemispheric specialization: Contemporary issues, Revue Neuropsychologie, 12, 7
- Pressing J., 1988, Generative Processes in Music: Psychology of Performance Improvisation and Composition, 129
- Swain J.P., 1997, Musical Languages
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Sorted by citations
Items 101–200 of 370
Bourguignon, N. J. (2014) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2014.09.008 · Cited by 47
Gohel, S., Laino, M. E., Rajeev-Kumar, G., Jenabi, M., Peck, K. K., Hatzoglou, V., Tabar, V. S., Holodny, A. I., & Vachha, B. A. (2019) · American Journal of Neuroradiology · doi:10.3174/ajnr.a5932 · Cited by 42
Rethinking the Cartesian theory of linguistic productivity
Brattico, P., & Liikkanen, L. A. (2009) · Philosophical Psychology · doi:10.1080/09515080902957357 · Cited by 41
Bonhage, C., Fiebach, C. J., Bahlmann, J., & Mueller, J. L. (2014) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00566 · Cited by 44
Cerebral networks for spontaneous and synchronized singing and speaking
Saito, Y., Ishii, K., Yagi, K., Tatsumi, I. F., & Mizusawa, H. (2006) · Neuroreport · doi:10.1097/wnr.0b013e328011519c · Cited by 41
Exit from Synchrony in Joint Improvised Motion
Dahan, A., Noy, L., Hart, Y., Mayo, A., & Alon, U. S. (2016) · PLoS ONE · doi:10.1371/journal.pone.0160747 · Cited by 37
Difficulties in the neuroscience of creativity: jazz improvisation and the scientific method
McPherson, M. J., & Limb, C. J. (2013) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.12174 · Cited by 39
Zhang, T., Wu, J., Li, F., Caffo, B. S., & Boatman‐Reich, D. (2015) · Journal of the American Statistical Association · doi:10.1080/01621459.2014.988213 · Cited by 37
Musical Syntax II: Empirical Perspectives
Pearce, M. T., & Rohrmeier, M. (2018) · Springer handbooks · doi:10.1007/978-3-662-55004-5_26 · Cited by 42
Dynamic Reconfiguration of the Supplementary Motor Area Network during Imagined Music Performance
Tanaka, S., & Kirino, E. (2017) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2017.00606 · Cited by 37
Worschech, F., ALTENMÜLLER, E. O., Jünemann, K., Sinke, C., Krüger, T. H. C., Scholz, D. S., Müller, C. A. H., Kliegel, M., James, C. E., & Marié, D. (2022) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.14762 · Cited by 38
Sparing, R., Meister, I. G., Wienemann, M., Buelte, D., Staedtgen, M., & Boroojerdi, B. (2007) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2006.05252.x · Cited by 36
Cohrdes, C., Grolig, L., & Schroeder, S. (2016) · Frontiers in Psychology · doi:10.3389/fpsyg.2016.01616 · Cited by 37
Decoding Musical Training from Dynamic Processing of Musical Features in the Brain
Saari, P., Burunat, I., Brattico, E., & Toiviainen, P. (2018) · Scientific Reports · doi:10.1038/s41598-018-19177-5 · Cited by 36
The language of music: Common neural codes for structured sequences in music and natural language
Chiang, J. N., Rosenberg, M., Bufford, C. A., Stephens, D., Lysy, A., & Monti, M. M. (2018) · Brain and Language · doi:10.1016/j.bandl.2018.07.003 · Cited by 40
Creative Activities in Music – A Genome-Wide Linkage Analysis
Oikkonen, J., Kuusi, T., Peltonen, P., Raijas, P., Ukkola‐Vuoti, L., Karma, K., Onkamo, P., & Järvelä, I. E. (2016) · PLoS ONE · doi:10.1371/journal.pone.0148679 · Cited by 43
Jaschke, A. C., Honing, H., & Scherder, E. (2018) · PLoS ONE · doi:10.1371/journal.pone.0207265 · Cited by 35
Sato, K., Kirino, E., & Tanaka, S. (2015) · Behavioural Neurology · doi:10.1155/2015/274919 · Cited by 33
Brain structure links everyday creativity to creative achievement
Zhu, W., Chen, Q., Tang, C., Cao, G., Hou, Y., & Qiu, J. (2016) · Brain and Cognition · doi:10.1016/j.bandc.2015.09.008 · Cited by 39
Zhang, Y., Chen, G., Wen, H., Lu, K., & Liu, Z. (2017) · Scientific Reports · doi:10.1038/s41598-017-17178-4 · Cited by 37
Musicality in human vocal communication: an evolutionary perspective
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Featherstone, C. R., Morrison, C. M., Waterman, M. G., & MacGregor, L. J. (2013) · PLoS ONE · doi:10.1371/journal.pone.0076600 · Cited by 33
Finding your voice: A singing lesson from functional imaging
Wilson, S. J., Abbott, D. F., Lusher, D., Gentle, E. C., & Jackson, G. D. (2010) · Human Brain Mapping · doi:10.1002/hbm.21173 · Cited by 36
Dong, J. W., Brennan, N. M. P., Izzo, G., Peck, K. K., & Holodny, A. I. (2016) · Neuroradiology · doi:10.1007/s00234-016-1655-4 · Cited by 30
Neuroplastic Effects in Patients With Traumatic Brain Injury After Music-Supported Therapy
Vik, B. M. D., SKEIE, G. O., & Specht, K. (2019) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2019.00177 · Cited by 32
Resting state functional connectivity underlying musical creativity
Bashwiner, D., Bacon, D., Wertz, C. J., Flores, R. A., Chohan, M. O., & Jung, R. E. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.116940 · Cited by 33
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Wakita, M. (2014) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2013.00937 · Cited by 32
The Drive for Creativity and the Escape from Creativity: Neurocognitive Mechanisms
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Human Genomics and the Biocultural Origin of Music
Beccacece, L., Abondio, P., Cilli, E., Restani, D., & Luiselli, D. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22105397 · Cited by 31
The parietal opercular auditory-sensorimotor network in musicians: A resting-state fMRI study
Tanaka, S., & Kirino, E. (2017) · Brain and Cognition · doi:10.1016/j.bandc.2017.11.001 · Cited by 30
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Wang, M., Li, C., Zhang, W., Wang, Y., Feng, Y., Liang, Y., Jing, W., Zhang, X., Li, X., & Chen, R. (2019) · Frontiers in Neuroinformatics · doi:10.3389/fninf.2019.00010 · Cited by 29
Long‐term musical training induces white matter plasticity in emotion and language networks
Cheng, L., Chiu, Y., Lin, Y., Li, W., Hong, T., Yang, C., Shih, C.-H., Yeh, T., Tseng, W. I., Yu, H., et al. (2022) · Human Brain Mapping · doi:10.1002/hbm.26054 · Cited by 30
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Quick, D., & Hudak, P. (2013) · doi:10.1145/2505341.2505345 · Cited by 28
Hurkmans, J., Jonkers, R., de Bruijn, M., Boonstra, A. M., Hartman, P. P., Arendzen, H., & Reinders‐Messelink, H. A. (2015) · Aphasiology · doi:10.1080/02687038.2015.1006565 · Cited by 28
Jungblut, M., Huber, W., Pustelniak, M., & Schnitker, R. (2012) · Restorative Neurology and Neuroscience · doi:10.3233/rnn-2011-0619 · Cited by 30
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Moore, K. S. (2016) · Music Therapy Perspectives · doi:10.1093/mtp/miw026 · Cited by 27
Effect of Music Instruction on Preschoolers’ Music Achievement and Emergent Literacy Achievement
Runfola, M., Etopio, E., Hamlen, K. R., & Rozendal, M. S. (2012) · Bulletin of the Council for Research in Music Education · doi:10.5406/bulcouresmusedu.192.0007 · Cited by 27
Scott, S. K. (2021) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2020.0395 · Cited by 27
Music, language, and modularity in action
Peretz, I. (2011) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780199553426.003.0027 · Cited by 28
Musical creativity and the motor system
Bashwiner, D., & Bacon, D. (2019) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2018.12.005 · Cited by 27
Recursion Hypothesis Considered as a Research Program for Cognitive Science
Brattico, P. (2010) · Minds and Machines · doi:10.1007/s11023-010-9189-8 · Cited by 27
Effective Connectivity for Default Mode Network Analysis of Alcoholism
Khan, D. M., Kamel, N., Mustapha, M., & Hill, T. (2020) · Brain Connectivity · doi:10.1089/brain.2019.0721 · Cited by 24
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Wan, X., Crüts, B., & Jensen, H. J. (2014) · PLoS ONE · doi:10.1371/journal.pone.0112776 · Cited by 27
Neuroanthropology: evolution and emotional embodiment
Campbell, B. (2009) · Frontiers in Evolutionary Neuroscience · doi:10.3389/neuro.18.004.2009 · Cited by 26
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Music and verbal ability—A twin study of genetic and environmental associations.
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Fehring, D. J., Samandra, R., Haque, Z. Z., Jaberzadeh, S., Rosa, M. G. P., & Mansouri, F. A. (2021) · Biology of Sex Differences · doi:10.1186/s13293-021-00390-3 · Cited by 23
Yang, Y., Fan, L., Chu, C., Zhuo, J., Wang, J., Fox, P. T., Eickhoff, S. B., & Jiang, T. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.08.027 · Cited by 24
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Homma, N. Y., & Bajo, V. M. (2021) · Frontiers in Neuroscience · doi:10.3389/fnins.2021.723893 · Cited by 24
Ma, Z., Wu, J., Hua, X., Zheng, M., Xing, X., Ma, J., Li, S., Shan, C., & Xu, J. (2022) · Frontiers in Neuroscience · doi:10.3389/fnins.2022.806406 · Cited by 24
Alashram, A. R., Janada, Q., Ghrear, T., & Annino, G. (2023) · Applied Neuropsychology Adult · doi:10.1080/23279095.2023.2228951 · Cited by 22
Saito, Y., Ishii, K., Sakuma, N., Kawasaki, K., Oda, K., & Mizusawa, H. (2012) · PLoS ONE · doi:10.1371/journal.pone.0046354 · Cited by 28
Hemodynamic responses to speech and music in preverbal infants
Fava, E., Hull, R., Baumbauer, K. M., & Bortfeld, H. (2013) · Child Neuropsychology · doi:10.1080/09297049.2013.803524 · Cited by 22
Meyer, G. F., Spray, A., Fairlie, J., & Uomini, N. (2014) · Frontiers in Psychology · doi:10.3389/fpsyg.2014.00552 · Cited by 22
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Nicolai, J., Gundacker, C., Teeselink, K., & Güttinger, H. R. (2013) · Animal Cognition · doi:10.1007/s10071-013-0647-6 · Cited by 21
Fritz, T. H., Renders, W., Müller, K., Schmude, P., Leman, M., Turner, R., & Villringer, A. (2013) · European Journal of Neuroscience · doi:10.1111/ejn.12305 · Cited by 21
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Pati, D., O’Boyle, M. W., Amor, C. M., Hou, J., Valipoor, S., & Fang, D. (2014) · HERD Health Environments Research & Design Journal · doi:10.1177/193758671400700202 · Cited by 20
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Rodziewicz, A., Krejtz, K., Duchowski, A. T., & Krejtz, I. (2022) · ACM Symposium on Eye Tracking Research and Applications (ETRA) · doi:10.1145/3517031.3529636 · Cited by 20
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James, C. E., Cereghetti, D. M., Tribes, E. R., & Oechslin, M. S. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.09.047 · Cited by 19
Please don’t stop the music: Song completion in patients with aphasia
Kasdan, A. V., & Kiran, S. (2018) · Journal of Communication Disorders · doi:10.1016/j.jcomdis.2018.06.005 · Cited by 20
Effects of musical expertise on oscillatory brain activity in response to emotional sounds
Nolden, S., Rigoulot, S., Jolicœur, P., & Armony, J. L. (2017) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2017.07.014 · Cited by 23
Welch, G. F., Saunders, J., Papageorgi, I., & Himonides, E. (2011) · Springer eBooks · doi:10.1007/978-94-007-2660-4_3 · Cited by 20
Individual differences in vocal size exaggeration
Belyk, M., Waters, S., Kanber, E., Miquel, M. E., & McGettigan, C. (2022) · Scientific Reports · doi:10.1038/s41598-022-05170-6 · Cited by 19
Zamorano, A. M., Zatorre, R. J., Vuust, P., Friberg, A., Birbaumer, N., & Kleber, B. (2023) · Brain Research · doi:10.1016/j.brainres.2023.148418 · Cited by 23
Yuan, J., Chen, J., Yang, J., Ju, E., Norman, G. J., & Ding, N. (2014) · PLoS ONE · doi:10.1371/journal.pone.0089844 · Cited by 25
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Benítez‐Burraco, A., & Nikolsky, A. (2023) · Human Nature · doi:10.1007/s12110-023-09447-1 · Cited by 27
Implicit Target Substitution and Sequencing for Lexical Tone Production in Chinese: An fMRI Study
Chang, H.-C., Lee, H.-J., Tzeng, O. J. L., & Kuo, W. (2014) · PLoS ONE · doi:10.1371/journal.pone.0083126 · Cited by 19
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Bitan, T., Simić, T., Saverino, C., Jones, C., Glazer, J., Colella, B., Wiseman‐Hakes, C., Green, R., & Rochon, E. A. (2018) · Neural Plasticity · doi:10.1155/2018/6214095 · Cited by 18
Increased inflammation in BA21 brain tissue from African Americans with Alzheimer’s disease
Ferguson, S. A., Varma, V., Sloper, D. T., Panos, J., & Sarkar, S. (2019) · Metabolic Brain Disease · doi:10.1007/s11011-019-00512-2 · Cited by 18
Neuroanatomical Correlates of Creativity: Evidence From Voxel-Based Morphometry
Li, W., Li, G., Ji, B., Zhang, Q., & Qiu, J. (2019) · Frontiers in Psychology · doi:10.3389/fpsyg.2019.00155 · Cited by 20
Higgins, A. N., & Richardson, K. C. (2018) · Communication Disorders Quarterly · doi:10.1177/1525740118783040 · Cited by 17
Vuong, V., Hewan, P., Perron, M., Thaut, M. H., & Alain, C. (2023) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2023.105423 · Cited by 18
Musical creativity and the brain.
López-González, M., & Limb, C. J. (2012) · Europe PMC (PubMed Central) · Cited by 16
Biological bases of human musicality
Perrone‐Capano, C., Volpicelli, F., & di Porzio, U. (2017) · Reviews in the Neurosciences · doi:10.1515/revneuro-2016-0046 · Cited by 17
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Recognition of Spanish Vowels through Imagined Speech by using Spectral Analysis and SVM.
Rojas, D. A., Ramos, O., & Beltrán, J. E. S. (2016) · J. Inf. Hiding Multim. Signal Process. · Cited by 16
Five Breakthroughs: A First Approximation of Brain Evolution From Early Bilaterians to Humans
Bennett, M. S. (2021) · Frontiers in Neuroanatomy · doi:10.3389/fnana.2021.693346 · Cited by 19
Pinner, J. F. L., Collishaw, W., Schendel, M. E., Flynn, L., Candelaria‐Cook, F. T., Cerros, C. M., Williams, M., Hill, D. E., & Stephen, J. M. (2023) · Human Brain Mapping · doi:10.1002/hbm.26501 · Cited by 12
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Jenni, R., Oechslin, M. S., & James, C. E. (2017) · Neuroscience Letters · doi:10.1016/j.neulet.2017.03.022 · Cited by 17
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Morshed, R. A., Lee, A. T., Wang, E. J., Young, J. S., Cha, S., Hervey-Jumper, S. L., & Berger, M. S. (2021) · Journal of neurosurgery · doi:10.3171/2021.8.jns211624 · Cited by 14
How does human motor cortex regulate vocal pitch in singers?
Belyk, M., Lee, Y. S., & Brown, S. (2018) · Royal Society Open Science · doi:10.1098/rsos.172208 · Cited by 17
Ferguson, S. A., Panos, J., Sloper, D. T., & Varma, V. (2017) · Journal of Alzheimer s Disease · doi:10.3233/jad-170204 · Cited by 14
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Wu, C., Tsai, M.-N., & Chen, H. (2019) · Thinking & Reasoning · doi:10.1080/13546783.2019.1663763 · Cited by 14
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Sternin, A., McGarry, L. M., Owen, A. M., & Grahn, J. A. (2021) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_01737 · Cited by 14
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Cebrian, A. N., & Janata, P. (2010) · The Journal of the Acoustical Society of America · doi:10.1121/1.3372729 · Cited by 13
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Harris, R., & de Jong, B. M. (2014) · PLoS ONE · doi:10.1371/journal.pone.0093681 · Cited by 18
Minassian, A. T., Ricalens, E., Tich, S. N. T., Dinomais, M., Aubé, C., & Beydon, L. (2014) · Brain Connectivity · doi:10.1089/brain.2014.0263 · Cited by 13
Wallentin, M., Michaelsen, J. L. D., Rynne, I., & Nielsen, R. H. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.07.012 · Cited by 13
Construcciones de la neurociencia al entendimiento de la creatividad humana
Muñoz, F. J. R. (2011) · Arte individuo y sociedad · doi:10.5209/rev_aris.2011.v23.n2.36253 · Cited by 13
Milovanov, R. (2009) · UTUPub (University of Turku) · Cited by 13
Poor neuro-motor tuning of the human larynx: a comparison of sung and whistled pitch imitation
Belyk, M., Johnson, J. F., & Kotz, S. A. (2018) · Royal Society Open Science · doi:10.1098/rsos.171544 · Cited by 12
Music and Language Processing Share Behavioral and Cerebral Features
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Music Style Not Only Modulates the Auditory Cortex, but Also Motor Related Areas
Martín-Fernández, J., Burunat, I., Modroño, C., González–Mora, J. L., & Bello, J. P. (2021) · Neuroscience · doi:10.1016/j.neuroscience.2021.01.012 · Cited by 11
Music Perception: Information Flow Within the Human Auditory Cortices
Angulo‐Perkins, A., & Concha, L. (2014) · Advances in experimental medicine and biology · doi:10.1007/978-1-4939-1782-2_15 · Cited by 11
Music training is neuroprotective for verbal cognition in focal epilepsy
Bird, L., Jackson, G. D., & Wilson, S. J. (2019) · Brain · doi:10.1093/brain/awz124 · Cited by 12
Metadata
- Authors
- Brown, S., Martinez, M. J., & Parsons, L. M.
- Affiliations
- The University of Texas at San Antonio Health Science Center (US)
- University of Sheffield (GB)
- Corresponding author
- Parsons, Lawrence M.
- Venue
- European Journal of Neuroscience
- Publisher
- Wiley
- Published
- 2006-05
- Volume
- 23
- Issue
- 10
- Pages
- 2791-2803
- ISSN
- 0953-816X (ISSN-L)
- 1460-9568
- OpenAlex
- W2168106399
- Cited by
- 371
- References
- 151
- Citations by year
- 2026: 5 · 2025: 14 · 2024: 12 · 2023: 15 · 2022: 14 · 2021: 23 · 2020: 10 · 2019: 25 · 2018: 29 · 2017: 23 · 2016: 29 · 2015: 25 · 2014: 27 · 2013: 23 · 2012: 24
- FWCI
- 6.45
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- European Journal of Neuroscience (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neuroscience and Music Perception
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neurobiology of Language and Bilingualism
- Life Sciences › Neuroscience › Cognitive Neuroscience › Hemispheric Asymmetry in Neuroscience
- Keywords
- music and language, melody generation, sentence generation, vocal improvisation, Brodmann area 45, Brodmann area 44, pre-supplementary motor area, temporal pole, hemispheric lateralization, parallel computing, phonology, semantics, auditory cortex, supplementary motor area, Broca's area
- MeSH terms
- Adult, Brain, Brain Mapping, Female, Humans, Language, Male, Middle Aged, Music, Positron-Emission Tomography
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