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      Contributions of neuroimaging in singing voice studies: a systematic review Translated title: Contribuições da neuroimagem no estudo da voz cantada: revisão sistemática

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          Abstract

          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.

          Translated abstract

          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.

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          Most cited references19

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          Shared and distinct neural correlates of singing and speaking.

          Using a modified sparse temporal sampling fMRI technique, we examined both shared and distinct neural correlates of singing and speaking. In the experimental conditions, 10 right-handed subjects were asked to repeat intoned ("sung") and non-intoned ("spoken") bisyllabic words/phrases that were contrasted with conditions controlling for pitch ("humming") and the basic motor processes associated with vocalization ("vowel production"). Areas of activation common to all tasks included the inferior pre- and post-central gyrus, superior temporal gyrus (STG), and superior temporal sulcus (STS) bilaterally, indicating a large shared network for motor preparation and execution as well as sensory feedback/control for vocal production. The speaking more than vowel-production contrast revealed activation in the inferior frontal gyrus most likely related to motor planning and preparation, in the primary sensorimotor cortex related to motor execution, and the middle and posterior STG/STS related to sensory feedback. The singing more than speaking contrast revealed additional activation in the mid-portions of the STG (more strongly on the right than left) and the most inferior and middle portions of the primary sensorimotor cortex. Our results suggest a bihemispheric network for vocal production regardless of whether the words/phrases were intoned or spoken. Furthermore, singing more than humming ("intoned speaking") showed additional right-lateralized activation of the superior temporal gyrus, inferior central operculum, and inferior frontal gyrus which may offer an explanation for the clinical observation that patients with non-fluent aphasia due to left hemisphere lesions are able to sing the text of a song while they are unable to speak the same words.
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            Song and speech: brain regions involved with perception and covert production.

            This 3-T fMRI study investigates brain regions similarly and differentially involved with listening and covert production of singing relative to speech. Given the greater use of auditory-motor self-monitoring and imagery with respect to consonance in singing, brain regions involved with these processes are predicted to be differentially active for singing more than for speech. The stimuli consisted of six Japanese songs. A block design was employed in which the tasks for the subject were to listen passively to singing of the song lyrics, passively listen to speaking of the song lyrics, covertly sing the song lyrics visually presented, covertly speak the song lyrics visually presented, and to rest. The conjunction of passive listening and covert production tasks used in this study allow for general neural processes underlying both perception and production to be discerned that are not exclusively a result of stimulus induced auditory processing nor to low level articulatory motor control. Brain regions involved with both perception and production for singing as well as speech were found to include the left planum temporale/superior temporal parietal region, as well as left and right premotor cortex, lateral aspect of the VI lobule of posterior cerebellum, anterior superior temporal gyrus, and planum polare. Greater activity for the singing over the speech condition for both the listening and covert production tasks was found in the right planum temporale. Greater activity in brain regions involved with consonance, orbitofrontal cortex (listening task), subcallosal cingulate (covert production task) were also present for singing over speech. The results are consistent with the PT mediating representational transformation across auditory and motor domains in response to consonance for singing over that of speech. Hemispheric laterality was assessed by paired t tests between active voxels in the contrast of interest relative to the left-right flipped contrast of interest calculated from images normalized to the left-right reflected template. Consistent with some hypotheses regarding hemispheric specialization, a pattern of differential laterality for speech over singing (both covert production and listening tasks) occurs in the left temporal lobe, whereas, singing over speech (listening task only) occurs in right temporal lobe.
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              Emotional voices in context: a neurobiological model of multimodal affective information processing.

              Just as eyes are often considered a gateway to the soul, the human voice offers a window through which we gain access to our fellow human beings' minds - their attitudes, intentions and feelings. Whether in talking or singing, crying or laughing, sighing or screaming, the sheer sound of a voice communicates a wealth of information that, in turn, may serve the observant listener as valuable guidepost in social interaction. But how do human beings extract information from the tone of a voice? In an attempt to answer this question, the present article reviews empirical evidence detailing the cerebral processes that underlie our ability to decode emotional information from vocal signals. The review will focus primarily on two prominent classes of vocal emotion cues: laughter and speech prosody (i.e. the tone of voice while speaking). Following a brief introduction, behavioral as well as neuroimaging data will be summarized that allows to outline cerebral mechanisms associated with the decoding of emotional voice cues, as well as the influence of various context variables (e.g. co-occurring facial and verbal emotional signals, attention focus, person-specific parameters such as gender and personality) on the respective processes. Building on the presented evidence, a cerebral network model will be introduced that proposes a differential contribution of various cortical and subcortical brain structures to the processing of emotional voice signals both in isolation and in context of accompanying (facial and verbal) emotional cues. Copyright © 2011 Elsevier B.V. All rights reserved.
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                Author and article information

                Contributors
                Role: ND
                Role: ND
                Role: ND
                Role: ND
                Role: ND
                Role: ND
                Journal
                rcefac
                Revista CEFAC
                Rev. CEFAC
                ABRAMO Associação Brasileira de Motricidade Orofacial (São Paulo, SP, Brazil )
                1982-0216
                August 2017
                : 19
                : 4
                : 556-564
                Affiliations
                [2] Recife Pernambuco orgnameUniversidade Federal de Pernambuco orgdiv1Departamento de Fonoaudiologia Brazil
                [3] João Pessoa orgnameUniversidade Federal da Paraíba orgdiv1Departamento de Fonoaudiologia Brazil
                [1] Maceió orgnameUniversidade Federal de Alagoas orgdiv1Escola Técnica de Artes Brazil
                [4] Recife Pernambuco orgnameHospital do Servidores do Estado de Pernambuco Brasil
                Article
                S1516-18462017000400556
                10.1590/1982-021620171942317
                6364b46e-d09f-4213-b394-ab601957c00a

                This work is licensed under a Creative Commons Attribution 4.0 International License.

                History
                : 06 March 2017
                : 08 July 2017
                Page count
                Figures: 0, Tables: 0, Equations: 0, References: 21, Pages: 9
                Product

                SciELO Brazil


                Voice,Neuroimaging,Music,Voz,Neuroimagem,Música
                Voice, Neuroimaging, Music, Voz, Neuroimagem, Música

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