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Contributions of neuroimaging in singing voice studies: a systematic review

ABSTRACT

It is assumed that singing is a highly complex activity, which requires the activation and interconnection of sensorimotor areas. The aim of the current research was to present the evidence from neuroimaging studies in the performance of the motor and sensory system in the process of singing. Research articles on the characteristics of human singing analyzed by neuroimaging, which were published between 1990 and 2016, and indexed and listed in databases such as PubMed, BIREME, Lilacs, Web of Science, Scopus, and EBSCO were chosen for this systematic review. A total of 9 articles, employing magnetoencephalography, functional magnetic resonance imaging, positron emission tomography, and electrocorticography were chosen. These neuroimaging approaches enabled the identification of a neural network interconnecting the spoken and singing voice, to identify, modulate, and correct pitch. This network changed with the singer's training, variations in melodic structure and harmonized singing, amusia, and the relationship among the brain areas that are responsible for speech, singing, and the persistence of musicality. Since knowledge of the neural networks that control singing is still scarce, the use of neuroimaging methods to elucidate these pathways should be a focus of future research.

Keywords:
Voice; Neuroimaging; Music

RESUMO

Admite-se que o canto seja uma atividade de alta complexidade pois requer ativação e interconexão de áreas sensório-motoras. Esta pesquisa teve como objetivo apresentar as evidências originadas por estudos de neuroimagem sobre a atuação do sistema motor e sensitivo na produção do canto. Na construção da revisão sistemática, foram premissas o período de publicação entre 1990 e 2016, artigos publicados em periódicos indexados e constantes nas bases de dados PubMed, BIREME, Lilacs, Web of Science, Scopus ou EBSCO, referentes a estudos sobre características do canto humano analisadas por neuroimagem. Os nove artigos analisados, com emprego de magnetoencefalografia, imagem por ressonância magnética funcional, tomografia por emissão de pósitrons ou eletrocorticografia, possibilitaram comprovar existência de uma rede neuronal interligada entre a modalidade falada e cantada para identificação, modulação e correção de violações de pitch, que podem ser alteradas com o treinamento do cantor, bem como alteração da estrutura melódica e harmonização do canto, amusia, relação entre áreas cerebrais responsáveis pela fala, canto e persistência da musicalidade. Assim, o conhecimento das áreas cerebrais e das interconexões necessárias ao canto ainda é escasso e deve ser um tema de pesquisas no futuro, empregando métodos de neuroimagem.

Descritores:
Voz; Neuroimagem; Música

Introduction

Singing is a specialized vocal behavior, which is only present in a very limited range of animals, including man and diverse species of birds. The production of a singing voice is mediated by a specialized cerebral system that is constituted of specific interconnected areas of the brain11. Brown S, Martinez MJ, Hodges DA, Fox PT, Parsons LM. The song system of the human brain. Cogn. Brain Res. 2004;20(3):363-75..

Singing animals can be differentiated into the following two groups on the basis of song learning: those that learn only for a period, and those that learn their whole lives11. Brown S, Martinez MJ, Hodges DA, Fox PT, Parsons LM. The song system of the human brain. Cogn. Brain Res. 2004;20(3):363-75.. By comparing these two groups, along with non-singing birds, song learning has emerged as a new evolutionary characteristic, which depends on the formation of new neural centers of control22. Zarate JM. The neural control of singing. Front. Hum. Neurosci. 2013;7:237..

Dissimilarities between the vocal behavior of man and their closest genetic relatives (chimpanzees and baboons) highlight that humans’ singing ability might not be derived from an ancestral learning of hominids species. The most likely hypothesis is that the system of human singing is a new neural specialization, which is analogous to the singing system of birds11. Brown S, Martinez MJ, Hodges DA, Fox PT, Parsons LM. The song system of the human brain. Cogn. Brain Res. 2004;20(3):363-75.,22. Zarate JM. The neural control of singing. Front. Hum. Neurosci. 2013;7:237.. This specialization derives, among other factors, from man’s ability to exercise volitional control of vocal fundamental frequency, especially when singing without words, such as an arpeggio, which is crucially dependent on the movements of the vocal folds33. Perry DW, Zatorre RJ, Petrides M, Alivisatos B, Meyer E, Evans AC. Localization of cerebral activity during simple singing. Neuroreport. 1999;10(18):3979-84..

Studies referring to the neurological aspects of song production in the literature are scarce, as researchers usually do not investigate the musical ability of non-singing subjects for means of comparison.

Within the last two decades, neuroimaging studies that aimed to identify the activation of brain’s sensorimotor areas during repetitive or sustained singing of one note, the emission of a sung word in different rhythms, and pieces of popular music or Italian arias. Harmonized singing, which is defined as the simultaneous production of two or more sounds, has also been studied. These findings add to the understanding of the processes of perception and production in singing, which can help train singers and voice professionals, in addition to people with disorders of speech or song production, as both use the same the neural connections22. Zarate JM. The neural control of singing. Front. Hum. Neurosci. 2013;7:237.,44. Zarate JM, Wood S, Zatorre RJ. Neural networks involved in voluntary and involuntary vocal pitch regulation in experienced singers. Neuropsychologia. 2010;48(2):607-18.. This context is socially relevant when one considers the function of singing in social cohesion, motivation, and the structuring of group identity.

To contribute to this area of knowledge, the objective of the current study was to present original evidence, based on neuroimaging studies with a focus on the activation of the sensorimotor system in the production of song.

Methods

A systematic review was performed, separately, by three trained researchers (GOA, HJS, and PMMB). The inclusion criteria for articles were as follows: containing one or more of the chosen descriptors (i.e., <neuroimaging>, <voice>, <vocal training>, or <singers>); published in Portuguese, English, or Spanish, between 1990 and 2016, in indexed journals and present in one of the following databases: PubMed, BIREME, Lilacs, Web of Science, Scopus, or EBSCO.

The exclusion criteria were as follows: conference abstracts, book chapters, master’s theses, doctoral dissertations, or articles that involved research relating solely to the spoken voice.

In total, 21 articles were found from the reference databases and analyzed according to the above-mentioned criteria. During the beginning of the analysis, two articles were excluded; one article was excluded because the research subjects were dove-like birds44. Zarate JM, Wood S, Zatorre RJ. Neural networks involved in voluntary and involuntary vocal pitch regulation in experienced singers. Neuropsychologia. 2010;48(2):607-18., while the other referred exclusively to issues relating to aspects concerning the spoken voice55. Watson R, Latinus M, Charest I, Crabbe F, Belin P. People-selectivity, audiovisual integration and heteromodality in the superior temporal sulcus. Cortex. 2014;50(100):125-36.. After reading the abstracts, two more articles were excluded, since one presented a unique approach regarding the spoken voice66. Ozdemir E, Norton A, Schlaug G. Shared and distinct neural correlates of singing and speaking. Neuroimage. 2006;33(2):628-35. and the other referred to the dopaminergic activation of bird song77. Simonyan K, Horwitz B, Jarvis ED. Dopamine regulation of human speech and bird song: A critical review. Brain Lang. 2012;122(3):142-50.. When the original version of the remaining articles were read in their entirety, the researchers independently excluded five more articles because of the following reasons: a focus on the auditory-motor mapping of pitch88. Jones JA, Keough D. Auditory-motor mapping for pitch control in singers and nonsingers. Exp. Brain Res. 2008;190(3):279-87. control, an analysis of the performance of the cerebral cortex after transcranial stimulation while reading and performing musical pieces99. Lo YL, Zhang HH, Wang CC, Chin ZY, Fook-Chong S, Gabriel C et al. Correlation of near-infrared spectroscopy and transcranial magnetic stimulation of the motor cortex in overt reading and musical tasks. Motor Control. 2009;13(1):84-99., a focus on the use of melodic intonation therapy to improve severe cases of non-fluent aphasia1010. Schlaug G, Norton A, Marchina S, Zipse L, Wan CY. From singing to speaking: facilitating recovery from nonfluent aphasia. Future neurology. 2010;5(5):657-65., as well as two other studies because these were systematic reviews1111. Preti MG, Bolton TA, Ville DV. The dynamic functional connectome: State-of-the-art and perspectives. Neuroimage. 2016. In press. Doi: 10.1016/j.neuroimage.2016.12.061
https://doi.org/10.1016/j.neuroimage.201...
,1212. Eippert F, Kong Y, Jenkinson M, Tracey I, Brooks JC. Denoising spinal cord fMRI data: Approaches to acquisition and analysis. Neuroimage. 2016. In press. Doi: 10.1016/j.neuroimage.2016.09.065.
https://doi.org/10.1016/j.neuroimage.201...
. During the stages of research, study evaluations, and data analyses, the researchers located opposing viewpoints in the respective analyses, compared the results, and settled disagreements by consensus (Figure 1).

Figure 1:
Flowchart outlining the article selection process for the current systematic review

Literature Review

A total of 9 articles were included in this review. The articles were grouped according to the following central themes: alternation of the melodic structure in singing, harmonic singing, amusia, relationship between cerebral areas responsible for speech and song, and the persistence of musicality.

Perry et al.33. Perry DW, Zatorre RJ, Petrides M, Alivisatos B, Meyer E, Evans AC. Localization of cerebral activity during simple singing. Neuroreport. 1999;10(18):3979-84. published one of the first studies regarding the identification of cerebral regions involved in singing simple songs (where only one note or pitch was maintained, which is known as the fundamental frequency of voice). Brown et al.11. Brown S, Martinez MJ, Hodges DA, Fox PT, Parsons LM. The song system of the human brain. Cogn. Brain Res. 2004;20(3):363-75. analyzed the alteration of the melodic structure and harmonization of songs. Terao et al.1313. Terao Y, Mizuno T, Shindoh M, Sakurai Y, Ugawa Y, Kobayashi S et al. Vocal amusia in a professional tango singer due to a right superior temporal cortex infarction. Neuropsychologia. 2006;44(3):479-88. performed a study on amusia. The relationship between the areas of the brain responsible for speech and singing was the theme of the studies by Wilson et al.1414. Wilson SJ, Abbott DF, Lusher D, Gentle EC, Jackson GD. Finding your voice: A singing lesson from functional imaging. Hum. Brain Mapp. 2011;32(12):2115-30.; Zarate, Wood and Zatorre44. Zarate JM, Wood S, Zatorre RJ. Neural networks involved in voluntary and involuntary vocal pitch regulation in experienced singers. Neuropsychologia. 2010;48(2):607-18.; Rosslau et al.1515. Rosslau K, Herholz SC, Knief A, Ortmann M, Deuster D, Schmidt CM et al. Song perception by professional singers and actors: An MEG study. PLoS One. 2016;11(2):1-18.; Callan et al.1616. Callan DE, Tsytsarev V, Hanakawa T, Callan AM, Katsuhara M, Fukuyama H et al. Song and speech: Brain regions involved with perception and covert production. Neuroimage. 2006;31(3):1327-42.; Roux et al.1717. Roux FE, Borsa S, Démonet JF. The mute who can sing: a cortical stimulation study on singing. J Neurosurg. 2009;110(2):282-8.; and Jungblut et al.1818. Jungblut M, Huber W, Pustelniak M, Schnitker R. The impact of rhythm complexity on brain activation during simple singing: An event-related fMRI study. Restor. Neurol. Neurosci. 2012;30(1):39-53., which investigated areas of the brain responsible for the production and perception of rhythm during singing (Figure 2).

Figure 2:
Characteristics of the articles included in the systematic review

Neuroimaging studies demonstrated that the learning and production of song (song control system) depend on the action of diverse areas of the brain, acting in a specific neural network, to grant meaning to musicality, conceptualized as the ability to generate meaning through making expressive music1414. Wilson SJ, Abbott DF, Lusher D, Gentle EC, Jackson GD. Finding your voice: A singing lesson from functional imaging. Hum. Brain Mapp. 2011;32(12):2115-30.. Prior research on song production has conducted with a focus on the alteration of its melodic structure, harmonization, amusia, and the persistence of song and musicality in patients with Broca’s aphasia11. Brown S, Martinez MJ, Hodges DA, Fox PT, Parsons LM. The song system of the human brain. Cogn. Brain Res. 2004;20(3):363-75..

One of the first studies employing neuroimaging was performed by Perry et al.33. Perry DW, Zatorre RJ, Petrides M, Alivisatos B, Meyer E, Evans AC. Localization of cerebral activity during simple singing. Neuroreport. 1999;10(18):3979-84., who used positron emission tomography (PET) to determine the blood flow of 13 volunteers who repetitively vocalized one pitch or listened to complex tones of varying frequency such as singing, with the aim of comparing areas of the brain that were activated during both tasks. The authors based their study on the results of direct electric brain stimulation that were characterized by the production of sounds. They demonstrated that sound production was associated with an increased blood flow to cortical regions such as the pre-central gyrus, supplementary motor region, and anterior cingulate cortex.

The localization of the supplementary motor region in repetitive singing was fundamentally identical with that of speech in the cingulate sulcus and cerebellum, yet with a peak corresponding to the lowest level of vocal motor control. The authors also identified interactions between the anterior cingulate and auditory cortices, which indicated that auditory cortical areas can perform decoding functions to offer feedback for desired vocalizations. This occurred to such an extent that the participants could ignore acoustic events when concentrating attention on the song itself, which is defined as figure-background33. Perry DW, Zatorre RJ, Petrides M, Alivisatos B, Meyer E, Evans AC. Localization of cerebral activity during simple singing. Neuroreport. 1999;10(18):3979-84..

These findings consequently led to other studies with a focus on the cerebral areas involved in singing. Brown et al.11. Brown S, Martinez MJ, Hodges DA, Fox PT, Parsons LM. The song system of the human brain. Cogn. Brain Res. 2004;20(3):363-75., performed a cross-sectional, observational, interventional study, on song harmonization involving male and female participants who were all amateur singers. The study was conducted using PET, while the participants performed complete repetition of melodies, harmonic singing, vocalizing isochronic and monotonic sequences, or rested with closed eyes.

The authors identified that harmonized singing, where the individual produces two or more sounds simultaneously, resembled monophonic singing, in that the melody of the voice is lacking any accompaniment, such as the Gregorian chants. Both involve the creation of a single melody line, making it difficult to parse the predominant cerebral areas involved in one task or the other. However, there was greater bilaterality in areas of high electrical levels (Brodmann’s Area [BA] 22 and 38) in harmonization, compared to monophonic singing. Nonetheless, this bilaterality cannot be exclusively attributed to singing harmonization. The authors attributed their finding to a specialization for harmony in the auditory area of the left hemisphere. Alternatively, an acoustic effect due to the presence of a greater number of notes and musical texture under harmonic conditions was also considered11. Brown S, Martinez MJ, Hodges DA, Fox PT, Parsons LM. The song system of the human brain. Cogn. Brain Res. 2004;20(3):363-75..

Extending their study, Brown et al.11. Brown S, Martinez MJ, Hodges DA, Fox PT, Parsons LM. The song system of the human brain. Cogn. Brain Res. 2004;20(3):363-75. also confirmed that the human singing system involved in imitation, repetition, and the adaptation of pitch depended on cerebral areas that can be hierarchically grouped into primary and secondary vocal and auditory cortex regions and high-level cognitive areas. The primary auditory cortex (BA 41) and motor cortex, which controls the mouth region (BA 4), were activated in all the study’s tasks. The tasks also activated BA 42 in the auditory cortex, BA 22 in the motor region (i.e., BA 6), the frontal operculum (BA 44/6), and the left insula. Thus, the researchers hypothesized that the upper part of the bilateral temporal lobe could comprise a third specialized auditory level for the processing of melodies with high-level pitch.

Amusia has been another focus of studies on studying, based on neuroimaging findings. Amusia is the partial or total difficulty in perceiving melodic sounds or rhythms, due to a dysfunction in the neural processing of music1414. Wilson SJ, Abbott DF, Lusher D, Gentle EC, Jackson GD. Finding your voice: A singing lesson from functional imaging. Hum. Brain Mapp. 2011;32(12):2115-30.. Terao et al.99. Lo YL, Zhang HH, Wang CC, Chin ZY, Fook-Chong S, Gabriel C et al. Correlation of near-infrared spectroscopy and transcranial magnetic stimulation of the motor cortex in overt reading and musical tasks. Motor Control. 2009;13(1):84-99. related a case of amusia in a professional tango singer following a cerebrovascular event. Magnetic resonance imaging (MRI) was used to identify a lesion in the upper part of the temporal cortex of the right hemisphere, which they concluded caused the alterations in the patient’s musical perception and recognition, related to pitch, timbre, and musicality. The singer’s perception of tempo and rhythm, however, were preserved because the left hemisphere was not affected. As the lesion was present in the right posterior portion of the insula, the authors realized that the deficits in the patient’s singing ability were related more to the motor performance of vocalization than to the auditory feedback. This confirmed the possibility that amusia was a result of the impairment of pitch processing involving specific connections between the motor and auditory cortical areas, which destabilized the effective transformation of the auditory mechanism or the memory of intentional vocal emission1919. Cuervo L da C, Maffioletti L de A. Musicalidade e Amusia?: interfaces de um mesmo ser musical. In: Anais do XI Simpósio Internacional de Cognição e Artes Musicais. Goiânia: Associação Brasileira de Cognição e Artes Musicais; 2015. p. 1-9..

Analogous to the study by Terao et al.1313. Terao Y, Mizuno T, Shindoh M, Sakurai Y, Ugawa Y, Kobayashi S et al. Vocal amusia in a professional tango singer due to a right superior temporal cortex infarction. Neuropsychologia. 2006;44(3):479-88. five clinical cases based on amateur singers who underwent brain tumor removal surgery, in addition to speaking and singing tests, supported the hypothesis that there are common connections between the brain regions associated with speech and singing. Electrocortigraphical data generated by cerebral stimulation during the brain surgery to remove the tumors demonstrated that singing was always affected when the pre-central gyrus was stimulated, independent of the handedness of the patient. The stimulation of facial areas, the tongue, and vocal folds also altered the singing, since this function requires bilaterality. However, the stimulation of the medial frontal gyrus and right inferior gyrus only provided interference in the patient’s singing. The authors concluded that the different alterations in singing and speech indicated that these functions activate different areas of the brain, at least at some stage, enabling better comprehension in cases of amusia in patients without speech impairments.

Wilson et al.1414. Wilson SJ, Abbott DF, Lusher D, Gentle EC, Jackson GD. Finding your voice: A singing lesson from functional imaging. Hum. Brain Mapp. 2011;32(12):2115-30. further investigated the hypothesis that distinct areas are used in the processing of speech and singing, such that secondary and tertiary auditory areas are linked to pitch, musicality, monophonic singing, melodic vocalization, and harmonic singing, which is different from speech11. Brown S, Martinez MJ, Hodges DA, Fox PT, Parsons LM. The song system of the human brain. Cogn. Brain Res. 2004;20(3):363-75.. However, to do this, they subjected high-performing opera singers to functional MRI (fMRI).

Wilson et al.1414. Wilson SJ, Abbott DF, Lusher D, Gentle EC, Jackson GD. Finding your voice: A singing lesson from functional imaging. Hum. Brain Mapp. 2011;32(12):2115-30. demonstrated that non-high-performance singers used more cerebral areas of speech for singing, since there is an interconnecting neural network between these two areas. This behavior differentiated singers according to the complexity of their performance, in such a way that high-performance singers employed BA 6 with less intensity. Therefore, this study demonstrated that the professional singers’ training did not solely include high-performance vocals and pitch adjustments, but rather changed areas of the brain required for this process, making the acts of singing and speaking more independent from one another. Briefly, training processes directed toward the development of singing ability are required to work on activities that explore various neural mechanisms.

Callan et al.1616. Callan DE, Tsytsarev V, Hanakawa T, Callan AM, Katsuhara M, Fukuyama H et al. Song and speech: Brain regions involved with perception and covert production. Neuroimage. 2006;31(3):1327-42. also analyzed cerebral regions involved in the perception and production of speech and singing through fMRI. The authors accepted the premise that to sing, one needs to use the auditory-motor system and memory mechanics more intensely, thus accepting that this activity is more complex than speech. The study included 16 subjects (5 of whom were women), aged 19-47 years, who were right-handed and without any previous musical experience or training. The stimulus consisted of listening to six Japanese songs with the simultaneous presentation of the lyrics. Next, each participant had to read and sing the song presented on a screen, while their brain activity was recorded using fMRI. Among the most important findings was the observation that there was an overlap in the cerebral regions involved in the perception and production of song and speech, denoting the existence of an essential identity between lyrical song and speech. This suggested a mirrored neuronal system, capable of being activated by silently listening to music and producing a song. According to the authors, the most important finding was the increased activity in the right planum temporale during singing, compared to speaking, both for passive auditory perception and for production of songs, indicating that this brain region responded through the representative transformation between the auditory and motor domains. Another important finding of this study was regarding laterality, and statistical analysis of active voxels gave the conclusion more credibility. The authors identified more activity in the left temporal lobe during speech than during singing, which was comparable during listening or production of singing. Further, there was greater activity in the right lobe during singing than during speech.

Zarate, Wood, and Zatorre44. Zarate JM, Wood S, Zatorre RJ. Neural networks involved in voluntary and involuntary vocal pitch regulation in experienced singers. Neuropsychologia. 2010;48(2):607-18. proceeded with a study employing fMRI to study professional opera singers, with the intention of identifying brain regions used for voluntary and involuntary correction of the pitch by means of vocal motor integration. Initially the authors emphasized the importance of considering the constellation of neural structures involved in adjusting the pitch while singing. This complex network included motor/pre-motor cortical networks (including the primary motor cortex, supplementary motor area, and anterior cingulate cortex), subcortical regions (such as the basal ganglia and thalamus), as well as structures in the brain stem, including the periaqueductal gray matter, substantia nigra, the reticular formation, and the band of motor neurons. This entire network of structures and their interconnections were involved in the production of correct pitch, as seen in loud environments where the interlocutors augmented or reduced the intensity of their speech to facilitate communication without losing the emotion of the message. The authors44. Zarate JM, Wood S, Zatorre RJ. Neural networks involved in voluntary and involuntary vocal pitch regulation in experienced singers. Neuropsychologia. 2010;48(2):607-18. compared 11 healthy subjects with no hearing problems and no history of singing with 13 professional singers, who were also healthy, with no hearing problems. The participants listened to their vocalizations with altered pitch and corrected their pitch if required. They were asked to maintain the pitch if no correction was needed. The fMRI results demonstrated that activation of the anterior portion of the rostral cingulate zone was required for the discrete correction of pitch. For tasks where no pitch correction was needed, activation of the posterior superior temporal sulcus was observed. However, this correction was not present in the opera singers. This suggested that large pitch corrections are voluntary, while smaller corrections are involuntary and occur due to an interaction between two cerebral areas, preceding the voluntary correction mechanism. These data revealed the extent of the complexity of the process of frequency modulation and the diversity in the areas of the brain that are involved in this complex vocal activity.

Zarate et al.22. Zarate JM. The neural control of singing. Front. Hum. Neurosci. 2013;7:237.,44. Zarate JM, Wood S, Zatorre RJ. Neural networks involved in voluntary and involuntary vocal pitch regulation in experienced singers. Neuropsychologia. 2010;48(2):607-18. demonstrated the existence of an organization of neural networks for the perception of music and speech, which suggested the modulation of musical and speaking abilities. The basis of their study was the assumption that professional singers and actors have intensively trained voices, which they use in different semantic, syntactic, and emotional processing contexts. Rosslau et al.1515. Rosslau K, Herholz SC, Knief A, Ortmann M, Deuster D, Schmidt CM et al. Song perception by professional singers and actors: An MEG study. PLoS One. 2016;11(2):1-18. was also a pioneer in analyzing the neural modifications required for singing and speech processing, induced by training. They used magnetoencephalography to evaluate brain activity, due to its high sensitivity in the evaluation of tempos and medium-to-high accuracy in determining the sources of brain activity during tasks. The researchers evaluated 15 singers (of whom 8 were women) and 15 actors (9 of whom were women), with a mean age of 29.2 years and 32.4 years, respectively. All the participants had more than 4 years of professional experience and practiced for at least 4 h daily.

Each participant had to judge the accuracy of the semantic congruity and the pitch of the last word of a song or spoken stimulus, and press a button to indicate the correctness or incorrectness of the stimulus. The participants underwent magnetoencephalography while completing the tasks. At the end of the experiment, each participant responded to a semi-structured interview to evaluate how fatigued they became when judging words and pitch. The authors identified the existence of a global syntactic system, which governed melodic and prosodic aspects. The right hemisphere was dominant if the factors involved violation of pitch. Comparatively, the right temporal area were dominant in the presence of musical alterations that required concentrated attention to analyze the frequency. Although these findings pertained to both singers and actors, more activity in the left parietal and right temporal areas were identified exclusively in singers. This was attributed to more intense mental machinery and a strong command of musical cognition, which could be attributed to extensive training or is a mere prerequisite for this professional activity.

In addition to studies on pitch and harmony, a study on the neural basis of rhythm was also conducted by Jungblut et al.1818. Jungblut M, Huber W, Pustelniak M, Schnitker R. The impact of rhythm complexity on brain activation during simple singing: An event-related fMRI study. Restor. Neurol. Neurosci. 2012;30(1):39-53.. A total of 30 non-musical and healthy subjects were analyzed in the study and they underwent fMRI while rhythmically repeating vowels sung in monotone. The results demonstrated that the same areas involved in speech (i.e., the bilateral supplementary motor area, cingulate gyrus, and pre-motor cortex in the left hemisphere) were activated in the rhythmic emission of vowels. However, the bilateral pars orbitalis and left cingulate gyrus were also responsible for rhythmic complexity.

Some studies have also attempted to functionally investigate aspects, and the respective cerebral areas, which are related to emotions in the voice, to access intentions and feelings that are imprinted in the dynamics of communication,2020. Brück C, Kreifelts B, Wildgruber D. Emotional voices in context: A neurobiological model of multimodal affective information processing. Phys. Life Rev. 2011;8(4):383-403.,2121. Frühholz S, Trost W, Grandjean D. The role of the medial temporal limbic system in processing emotions in voice and music. Prog. Neurobiol. 2014;123:1-17. which can differ from the emotion elicited through song. However, further research is required on this topic.

Conclusion

Following a variable rhythm, harmonizing voices, and controlling fundamental frequency makes singing a unique human ability. It is a complex cerebral activity that combines the emission of speech and musicality, since it blends linguistic and acoustic components in a variety of ways.

Analyzing the areas of the brain involved in singing is challenging given the interconnection of cerebral areas and superimposition required to elicit speech and singing. Thus, the use of neuroimaging is of fundamental importance in enabling the identification of the brain areas and hemispheric lateralization that is activated by singing. Although there has been an advancement in this field over the past two decades, there is still a large knowledge gap, which still needs to be filled.

References

  • 1
    Brown S, Martinez MJ, Hodges DA, Fox PT, Parsons LM. The song system of the human brain. Cogn. Brain Res. 2004;20(3):363-75.
  • 2
    Zarate JM. The neural control of singing. Front. Hum. Neurosci. 2013;7:237.
  • 3
    Perry DW, Zatorre RJ, Petrides M, Alivisatos B, Meyer E, Evans AC. Localization of cerebral activity during simple singing. Neuroreport. 1999;10(18):3979-84.
  • 4
    Zarate JM, Wood S, Zatorre RJ. Neural networks involved in voluntary and involuntary vocal pitch regulation in experienced singers. Neuropsychologia. 2010;48(2):607-18.
  • 5
    Watson R, Latinus M, Charest I, Crabbe F, Belin P. People-selectivity, audiovisual integration and heteromodality in the superior temporal sulcus. Cortex. 2014;50(100):125-36.
  • 6
    Ozdemir E, Norton A, Schlaug G. Shared and distinct neural correlates of singing and speaking. Neuroimage. 2006;33(2):628-35.
  • 7
    Simonyan K, Horwitz B, Jarvis ED. Dopamine regulation of human speech and bird song: A critical review. Brain Lang. 2012;122(3):142-50.
  • 8
    Jones JA, Keough D. Auditory-motor mapping for pitch control in singers and nonsingers. Exp. Brain Res. 2008;190(3):279-87.
  • 9
    Lo YL, Zhang HH, Wang CC, Chin ZY, Fook-Chong S, Gabriel C et al. Correlation of near-infrared spectroscopy and transcranial magnetic stimulation of the motor cortex in overt reading and musical tasks. Motor Control. 2009;13(1):84-99.
  • 10
    Schlaug G, Norton A, Marchina S, Zipse L, Wan CY. From singing to speaking: facilitating recovery from nonfluent aphasia. Future neurology. 2010;5(5):657-65.
  • 11
    Preti MG, Bolton TA, Ville DV. The dynamic functional connectome: State-of-the-art and perspectives. Neuroimage. 2016. In press. Doi: 10.1016/j.neuroimage.2016.12.061
    » https://doi.org/10.1016/j.neuroimage.2016.12.061
  • 12
    Eippert F, Kong Y, Jenkinson M, Tracey I, Brooks JC. Denoising spinal cord fMRI data: Approaches to acquisition and analysis. Neuroimage. 2016. In press. Doi: 10.1016/j.neuroimage.2016.09.065.
    » https://doi.org/10.1016/j.neuroimage.2016.09.065
  • 13
    Terao Y, Mizuno T, Shindoh M, Sakurai Y, Ugawa Y, Kobayashi S et al. Vocal amusia in a professional tango singer due to a right superior temporal cortex infarction. Neuropsychologia. 2006;44(3):479-88.
  • 14
    Wilson SJ, Abbott DF, Lusher D, Gentle EC, Jackson GD. Finding your voice: A singing lesson from functional imaging. Hum. Brain Mapp. 2011;32(12):2115-30.
  • 15
    Rosslau K, Herholz SC, Knief A, Ortmann M, Deuster D, Schmidt CM et al. Song perception by professional singers and actors: An MEG study. PLoS One. 2016;11(2):1-18.
  • 16
    Callan DE, Tsytsarev V, Hanakawa T, Callan AM, Katsuhara M, Fukuyama H et al. Song and speech: Brain regions involved with perception and covert production. Neuroimage. 2006;31(3):1327-42.
  • 17
    Roux FE, Borsa S, Démonet JF. The mute who can sing: a cortical stimulation study on singing. J Neurosurg. 2009;110(2):282-8.
  • 18
    Jungblut M, Huber W, Pustelniak M, Schnitker R. The impact of rhythm complexity on brain activation during simple singing: An event-related fMRI study. Restor. Neurol. Neurosci. 2012;30(1):39-53.
  • 19
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  • 20
    Brück C, Kreifelts B, Wildgruber D. Emotional voices in context: A neurobiological model of multimodal affective information processing. Phys. Life Rev. 2011;8(4):383-403.
  • 21
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  • Source of support: MCTI/CNPQ/Universal 14/2014 - Faixa A

Publication Dates

  • Publication in this collection
    Aug 2017

History

  • Received
    06 Mar 2017
  • Accepted
    08 July 2017
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