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Di Stefano N, Vuust P, Brattico E. Consonance and dissonance perception. A critical review of the historical sources, multidisciplinary findings, and main hypotheses. Phys Life Rev 2022; 43:273-304. [PMID: 36372030 DOI: 10.1016/j.plrev.2022.10.004] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2022] [Accepted: 10/17/2022] [Indexed: 11/05/2022]
Abstract
Revealed more than two millennia ago by Pythagoras, consonance and dissonance (C/D) are foundational concepts in music theory, perception, and aesthetics. The search for the biological, acoustical, and cultural factors that affect C/D perception has resulted in descriptive accounts inspired by arithmetic, musicological, psychoacoustical or neurobiological frameworks without reaching a consensus. Here, we review the key historical sources and modern multidisciplinary findings on C/D and integrate them into three main hypotheses: the vocal similarity hypothesis (VSH), the psychocultural hypothesis (PH), and the sensorimotor hypothesis (SH). By illustrating the hypotheses-related findings, we highlight their major conceptual, methodological, and terminological shortcomings. Trying to provide a unitary framework for C/D understanding, we put together multidisciplinary research on human and animal vocalizations, which converges to suggest that auditory roughness is associated with distress/danger and, therefore, elicits defensive behavioral reactions and neural responses that indicate aversion. We therefore stress the primacy of vocality and roughness as key factors in the explanation of C/D phenomenon, and we explore the (neuro)biological underpinnings of the attraction-aversion mechanisms that are triggered by C/D stimuli. Based on the reviewed evidence, while the aversive nature of dissonance appears as solidly rooted in the multidisciplinary findings, the attractive nature of consonance remains a somewhat speculative claim that needs further investigation. Finally, we outline future directions for empirical research in C/D, especially regarding cross-modal and cross-cultural approaches.
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Affiliation(s)
- Nicola Di Stefano
- Institute for Cognitive Sciences and Technologies (ISTC), National Research Council of Italy (CNR), Via San Martino della Battaglia 44, 00185 Rome, Italy.
| | - Peter Vuust
- Center for Music in the Brain, Department of Clinical Medicine, Aarhus University Royal Academy of Music Aarhus/Aalborg (RAMA), 8000 Aarhus, Denmark.
| | - Elvira Brattico
- Center for Music in the Brain, Department of Clinical Medicine, Aarhus University Royal Academy of Music Aarhus/Aalborg (RAMA), 8000 Aarhus, Denmark; Department of Education, Psychology, Communication, University of Bari Aldo Moro, 70122 Bari, Italy.
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2
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Tervaniemi M. Mismatch negativity-stimulation paradigms in past and in future. Front Neurosci 2022; 16:1025763. [PMID: 36466164 PMCID: PMC9713013 DOI: 10.3389/fnins.2022.1025763] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2022] [Accepted: 10/24/2022] [Indexed: 09/30/2023] Open
Abstract
Mismatch negativity (MMN) studies were initiated as part of a well-controlled experimental research tradition with the aim to identify some key principles of auditory processing and memory. During the past two decades, empirical paradigms have moved toward more ecologically valid ones while retaining rigid experimental control. In this paper, I will introduce this development of MMN stimulation paradigms starting from the paradigms used in basic science and then moving to paradigms that have been particularly relevant for studies on music learning and musical expertise. Via these historical and thematic perspectives, I wish to stimulate paradigm development further to meet the demands of naturalistic ecologically valid studies also when using MMN in the context of event-related potential technique that necessarily requires averaging across several stimulus presentations.
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Affiliation(s)
- Mari Tervaniemi
- Center of Excellence in Music, Mind, Body, and Brain, Faculty of Educational Sciences, University of Helsinki, Helsinki, Finland
- Cognitive Brain Research Unit, Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Helsinki, Finland
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3
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Chabin T, Pazart L, Gabriel D. Vocal melody and musical background are simultaneously processed by the brain for musical predictions. Ann N Y Acad Sci 2022; 1512:126-140. [PMID: 35229293 DOI: 10.1111/nyas.14755] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2021] [Accepted: 01/18/2022] [Indexed: 12/18/2022]
Abstract
Musical pleasure is related to the capacity to predict and anticipate the music. By recording early cerebral responses of 16 participants with electroencephalography during periods of silence inserted in known and unknown songs, we aimed to measure the contribution of different musical attributes to musical predictions. We investigated the mismatch between past encoded musical features and the current sensory inputs when listening to lyrics associated with vocal melody, only background instrumental material, or both attributes grouped together. When participants were listening to chords and lyrics for known songs, the brain responses related to musical violation produced event-related potential responses around 150-200 ms that were of a larger amplitude than for chords or lyrics only. Microstate analysis also revealed that for chords and lyrics, the global field power had an increased stability and a longer duration. The source localization identified that the right superior temporal and frontal gyri and the inferior and medial frontal gyri were activated for a longer time for chords and lyrics, likely caused by the increased complexity of the stimuli. We conclude that grouped together, a broader integration and retrieval of several musical attributes at the same time recruit larger neuronal networks that lead to more accurate predictions.
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Affiliation(s)
- Thibault Chabin
- Centre Hospitalier Universitaire de Besançon, Centre d'Investigation Clinique INSERM CIC 1431, Besançon, France
| | - Lionel Pazart
- Plateforme de Neuroimagerie Fonctionnelle et Neurostimulation Neuraxess, Centre Hospitalier Universitaire de Besançon, Université de Bourgogne Franche-Comté, Bourgogne Franche-Comté, France
| | - Damien Gabriel
- Laboratoire de Recherches Intégratives en Neurosciences et Psychologie Cognitive, Université Bourgogne Franche-Comté, Besançon, France
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4
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Nie P, Wang C, Rong G, Du B, Lu J, Li S, Putkinen V, Tao S, Tervaniemi M. Effects of Music Training on the Auditory Working Memory of Chinese-Speaking School-Aged Children: A Longitudinal Intervention Study. Front Psychol 2022; 12:770425. [PMID: 35153898 PMCID: PMC8825862 DOI: 10.3389/fpsyg.2021.770425] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2021] [Accepted: 12/07/2021] [Indexed: 11/13/2022] Open
Abstract
Music expertise is known to be beneficial for cognitive function and development. In this study, we conducted 1-year music training for school children (n = 123; 7-11 years of age before training) in China. The children were assigned to music or second-language after-class training groups. A passive control group was included. We aimed to investigate whether music training could facilitate working memory (WM) development compared to second-language training and no training. Before and after the training, auditory WM was measured via a digit span (DS) task, together with the vocabulary and block tests of the Wechsler Intelligence Scale for Child IV (WISC-IV). The results of the DS task revealed superior development in the music group compared to the other groups. However, further analysis of DS forward and backward tasks indicated that the performance of the three training/non-training groups only differed significantly in DS backward scores, but not in the DS forward scores. We conclude that music training may benefit the central executive system of WM, as reflected by the DS backward task.
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Affiliation(s)
- Peixin Nie
- Cicero Learning, Faculty of Educational Sciences, University of Helsinki, Helsinki, Finland
- Cognitive Brain Research Unit, Faculty of Medicine, University of Helsinki, Helsinki, Finland
- State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
| | - Cuicui Wang
- State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
| | - Guang Rong
- HiperCog Group, Department of Education, Faculty of Educational Sciences, University of Helsinki, Helsinki, Finland
| | - Bin Du
- State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
| | - Jing Lu
- State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
| | - Shuting Li
- State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
| | - Vesa Putkinen
- Cognitive Brain Research Unit, Faculty of Medicine, University of Helsinki, Helsinki, Finland
- Turku PET Centre, University of Turku, Turku, Finland
- Turku University Hospital, Turku, Finland
| | - Sha Tao
- State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
| | - Mari Tervaniemi
- Cicero Learning, Faculty of Educational Sciences, University of Helsinki, Helsinki, Finland
- Cognitive Brain Research Unit, Faculty of Medicine, University of Helsinki, Helsinki, Finland
- Advanced Innovation Center for Future Education, Beijing Normal University, Beijing, China
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5
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Memorisation and implicit perceptual learning are enhanced for preferred musical intervals and chords. Psychon Bull Rev 2021; 28:1623-1637. [PMID: 33945127 PMCID: PMC8500890 DOI: 10.3758/s13423-021-01922-z] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/23/2021] [Indexed: 11/22/2022]
Abstract
Is it true that we learn better what we like? Current neuroaesthetic and neurocomputational models of aesthetic appreciation postulate the existence of a correlation between aesthetic appreciation and learning. However, even though aesthetic appreciation has been associated with attentional enhancements, systematic evidence demonstrating its influence on learning processes is still lacking. Here, in two experiments, we investigated the relationship between aesthetic preferences for consonance versus dissonance and the memorisation of musical intervals and chords. In Experiment 1, 60 participants were first asked to memorise and evaluate arpeggiated triad chords (memorisation phase), then, following a distraction task, chords’ memorisation accuracy was measured (recognition phase). Memorisation resulted to be significantly enhanced for subjectively preferred as compared with non-preferred chords. To explore the possible neural mechanisms underlying these results, we performed an EEG study, directed to investigate implicit perceptual learning dynamics (Experiment 2). Through an auditory mismatch detection paradigm, electrophysiological responses to standard/deviant intervals were recorded, while participants were asked to evaluate the beauty of the intervals. We found a significant trial-by-trial correlation between subjective aesthetic judgements and single trial amplitude fluctuations of the ERP attention-related N1 component. Moreover, implicit perceptual learning, expressed by larger mismatch detection responses, was enhanced for more appreciated intervals. Altogether, our results showed the existence of a relationship between aesthetic appreciation and implicit learning dynamics as well as higher-order learning processes, such as memorisation. This finding might suggest possible future applications in different research domains such as teaching and rehabilitation of memory and attentional deficits.
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Sorati M, Behne DM. Considerations in Audio-Visual Interaction Models: An ERP Study of Music Perception by Musicians and Non-musicians. Front Psychol 2021; 11:594434. [PMID: 33551911 PMCID: PMC7854916 DOI: 10.3389/fpsyg.2020.594434] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2020] [Accepted: 12/03/2020] [Indexed: 11/13/2022] Open
Abstract
Previous research with speech and non-speech stimuli suggested that in audiovisual perception, visual information starting prior to the onset of corresponding sound can provide visual cues, and form a prediction about the upcoming auditory sound. This prediction leads to audiovisual (AV) interaction. Auditory and visual perception interact and induce suppression and speeding up of the early auditory event-related potentials (ERPs) such as N1 and P2. To investigate AV interaction, previous research examined N1 and P2 amplitudes and latencies in response to audio only (AO), video only (VO), audiovisual, and control (CO) stimuli, and compared AV with auditory perception based on four AV interaction models (AV vs. AO+VO, AV-VO vs. AO, AV-VO vs. AO-CO, AV vs. AO). The current study addresses how different models of AV interaction express N1 and P2 suppression in music perception. Furthermore, the current study took one step further and examined whether previous musical experience, which can potentially lead to higher N1 and P2 amplitudes in auditory perception, influenced AV interaction in different models. Musicians and non-musicians were presented the recordings (AO, AV, VO) of a keyboard /C4/ key being played, as well as CO stimuli. Results showed that AV interaction models differ in their expression of N1 and P2 amplitude and latency suppression. The calculation of model (AV-VO vs. AO) and (AV-VO vs. AO-CO) has consequences for the resulting N1 and P2 difference waves. Furthermore, while musicians, compared to non-musicians, showed higher N1 amplitude in auditory perception, suppression of amplitudes and latencies for N1 and P2 was similar for the two groups across the AV models. Collectively, these results suggest that when visual cues from finger and hand movements predict the upcoming sound in AV music perception, suppression of early ERPs is similar for musicians and non-musicians. Notably, the calculation differences across models do not lead to the same pattern of results for N1 and P2, demonstrating that the four models are not interchangeable and are not directly comparable.
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Affiliation(s)
- Marzieh Sorati
- Department of Psychology, Norwegian University of Science and Technology, Trondheim, Norway
| | - Dawn M Behne
- Department of Psychology, Norwegian University of Science and Technology, Trondheim, Norway
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Vaquero L, Ramos-Escobar N, Cucurell D, François C, Putkinen V, Segura E, Huotilainen M, Penhune V, Rodríguez-Fornells A. Arcuate fasciculus architecture is associated with individual differences in pre-attentive detection of unpredicted music changes. Neuroimage 2021; 229:117759. [PMID: 33454403 DOI: 10.1016/j.neuroimage.2021.117759] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2020] [Revised: 12/16/2020] [Accepted: 01/06/2021] [Indexed: 12/12/2022] Open
Abstract
The mismatch negativity (MMN) is an event related brain potential (ERP) elicited by unpredicted sounds presented in a sequence of repeated auditory stimuli. The neural sources of the MMN have been previously attributed to a fronto-temporo-parietal network which crucially overlaps with the so-called auditory dorsal stream, involving inferior and middle frontal, inferior parietal, and superior and middle temporal regions. These cortical areas are structurally connected by the arcuate fasciculus (AF), a three-branch pathway supporting the feedback-feedforward loop involved in auditory-motor integration, auditory working memory, storage of acoustic templates, as well as comparison and update of those templates. Here, we characterized the individual differences in the white-matter macrostructural properties of the AF and explored their link to the electrophysiological marker of passive change detection gathered in a melodic multifeature MMN-EEG paradigm in 26 healthy young adults without musical training. Our results show that left fronto-temporal white-matter connectivity plays an important role in the pre-attentive detection of rhythm modulations within a melody. Previous studies have shown that this AF segment is also critical for language processing and learning. This strong coupling between structure and function in auditory change detection might be related to life-time linguistic (and possibly musical) exposure and experiences, as well as to timing processing specialization of the left auditory cortex. To the best of our knowledge, this is the first time in which the relationship between neurophysiological (EEG) and brain white-matter connectivity indexes using DTI-tractography are studied together. Thus, the present results, although still exploratory, add to the existing evidence on the importance of studying the constraints imposed on cognitive functions by the underlying structural connectivity.
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Affiliation(s)
- Lucía Vaquero
- Laboratory of Cognitive and Computational Neuroscience, Complutense University of Madrid and Polytechnic University of Madrid, Campus Científico y Tecnológico de la UPM, Pozuelo de Alarcón, 28223 Madrid, Spain.
| | - Neus Ramos-Escobar
- Department of Cognition, Development and Education Psychology, and Institute of Neurosciences, University of Barcelona, Barcelona, Spain; Cognition and Brain Plasticity Unit, Bellvitge Biomedical Research Institute (IDIBELL). L'Hospitalet de Llobregat, Barcelona, Spain
| | - David Cucurell
- Department of Cognition, Development and Education Psychology, and Institute of Neurosciences, University of Barcelona, Barcelona, Spain; Cognition and Brain Plasticity Unit, Bellvitge Biomedical Research Institute (IDIBELL). L'Hospitalet de Llobregat, Barcelona, Spain
| | - Clément François
- Cognition and Brain Plasticity Unit, Bellvitge Biomedical Research Institute (IDIBELL). L'Hospitalet de Llobregat, Barcelona, Spain; Aix Marseille Univ, CNRS, LPL, Aix-en-Provence, France
| | - Vesa Putkinen
- Turku PET Centre, University of Turku, Turku, Finland
| | - Emma Segura
- Department of Cognition, Development and Education Psychology, and Institute of Neurosciences, University of Barcelona, Barcelona, Spain; Cognition and Brain Plasticity Unit, Bellvitge Biomedical Research Institute (IDIBELL). L'Hospitalet de Llobregat, Barcelona, Spain
| | - Minna Huotilainen
- Cicero Learning and Cognitive Brain Research Unit, University of Helsinki, Helsinki, Finland
| | - Virginia Penhune
- Penhune Laboratory for Motor Learning and Neural Plasticity, Concordia University, Montreal, QC, Canada; International Laboratory for Brain, Music and Sound Research (BRAMS). Montreal, QC, Canada; Center for Research on Brain, Language and Music (CRBLM), McGill University. Montreal, QC, Canada
| | - Antoni Rodríguez-Fornells
- Department of Cognition, Development and Education Psychology, and Institute of Neurosciences, University of Barcelona, Barcelona, Spain; Cognition and Brain Plasticity Unit, Bellvitge Biomedical Research Institute (IDIBELL). L'Hospitalet de Llobregat, Barcelona, Spain; Institució Catalana de recerca i Estudis Avançats (ICREA), Barcelona, Spain
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8
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Musical expertise affects the sense of agency: Intentional binding in expert pianists. Conscious Cogn 2020; 84:102984. [DOI: 10.1016/j.concog.2020.102984] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2020] [Revised: 07/02/2020] [Accepted: 07/02/2020] [Indexed: 01/06/2023]
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9
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Sorati M, Behne DM. Audiovisual Modulation in Music Perception for Musicians and Non-musicians. Front Psychol 2020; 11:1094. [PMID: 32547458 PMCID: PMC7273518 DOI: 10.3389/fpsyg.2020.01094] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2020] [Accepted: 04/29/2020] [Indexed: 11/13/2022] Open
Abstract
In audiovisual music perception, visual information from a musical instrument being played is available prior to the onset of the corresponding musical sound and consequently allows a perceiver to form a prediction about the upcoming audio music. This prediction in audiovisual music perception, compared to auditory music perception, leads to lower N1 and P2 amplitudes and latencies. Although previous research suggests that audiovisual experience, such as previous musical experience may enhance this prediction, a remaining question is to what extent musical experience modifies N1 and P2 amplitudes and latencies. Furthermore, corresponding event-related phase modulations quantified as inter-trial phase coherence (ITPC) have not previously been reported for audiovisual music perception. In the current study, audio video recordings of a keyboard key being played were presented to musicians and non-musicians in audio only (AO), video only (VO), and audiovisual (AV) conditions. With predictive movements from playing the keyboard isolated from AV music perception (AV-VO), the current findings demonstrated that, compared to the AO condition, both groups had a similar decrease in N1 amplitude and latency, and P2 amplitude, along with correspondingly lower ITPC values in the delta, theta, and alpha frequency bands. However, while musicians showed lower ITPC values in the beta-band in AV-VO compared to the AO, non-musicians did not show this pattern. Findings indicate that AV perception may be broadly correlated with auditory perception, and differences between musicians and non-musicians further indicate musical experience to be a specific factor influencing AV perception. Predicting an upcoming sound in AV music perception may involve visual predictory processes, as well as beta-band oscillations, which may be influenced by years of musical training. This study highlights possible interconnectivity in AV perception as well as potential modulation with experience.
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Affiliation(s)
- Marzieh Sorati
- Department of Psychology, Norwegian University of Science and Technology, Trondheim, Norway
| | - Dawn Marie Behne
- Department of Psychology, Norwegian University of Science and Technology, Trondheim, Norway
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10
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Sarasso P, Ronga I, Pistis A, Forte E, Garbarini F, Ricci R, Neppi-Modona M. Aesthetic appreciation of musical intervals enhances behavioural and neurophysiological indexes of attentional engagement and motor inhibition. Sci Rep 2019; 9:18550. [PMID: 31811225 PMCID: PMC6898439 DOI: 10.1038/s41598-019-55131-9] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2019] [Accepted: 11/25/2019] [Indexed: 12/27/2022] Open
Abstract
From Kant to current perspectives in neuroaesthetics, the experience of beauty has been described as disinterested, i.e. focusing on the stimulus perceptual features while neglecting self-referred concerns. At a neurophysiological level, some indirect evidence suggests that disinterested aesthetic appreciation might be associated with attentional enhancement and inhibition of motor behaviour. To test this hypothesis, we performed three auditory-evoked potential experiments, employing consonant and dissonant two-note musical intervals. Twenty-two volunteers judged the beauty of intervals (Aesthetic Judgement task) or responded to them as fast as possible (Detection task). In a third Go-NoGo task, a different group of twenty-two participants had to refrain from responding when hearing intervals. Individual aesthetic judgements positively correlated with response times in the Detection task, with slower motor responses for more appreciated intervals. Electrophysiological indexes of attentional engagement (N1/P2) and motor inhibition (N2/P3) were enhanced for more appreciated intervals. These findings represent the first experimental evidence confirming the disinterested interest hypothesis and may have important applications in research areas studying the effects of stimulus features on learning and motor behaviour.
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Affiliation(s)
- P Sarasso
- SAMBA (SpAtial, Motor & Bodily Awareness) Research Group, Department of Psychology, University of Turin, Turin, Italy.
| | - I Ronga
- MANIBUS Lab, Department of Psychology, University of Turin, Turin, Italy
| | - A Pistis
- SAMBA (SpAtial, Motor & Bodily Awareness) Research Group, Department of Psychology, University of Turin, Turin, Italy
| | - E Forte
- SAMBA (SpAtial, Motor & Bodily Awareness) Research Group, Department of Psychology, University of Turin, Turin, Italy
| | - F Garbarini
- MANIBUS Lab, Department of Psychology, University of Turin, Turin, Italy
| | - R Ricci
- SAMBA (SpAtial, Motor & Bodily Awareness) Research Group, Department of Psychology, University of Turin, Turin, Italy
| | - M Neppi-Modona
- SAMBA (SpAtial, Motor & Bodily Awareness) Research Group, Department of Psychology, University of Turin, Turin, Italy
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Saarikivi KA, Huotilainen M, Tervaniemi M, Putkinen V. Selectively Enhanced Development of Working Memory in Musically Trained Children and Adolescents. Front Integr Neurosci 2019; 13:62. [PMID: 31780907 PMCID: PMC6851266 DOI: 10.3389/fnint.2019.00062] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2019] [Accepted: 10/07/2019] [Indexed: 11/17/2022] Open
Abstract
In the current longitudinal study, we investigated the development of working memory in musically trained and nontrained children and adolescents, aged 9-20. We measured working memory with the Digit Span (DS) forwards and backwards tests (N = 106) and the Trail-Making A and B (TMT-A and B; N = 104) tests three times, in 2011, 2013, and 2016. We expected that musically trained participants would outperform peers with no musical training. Indeed, we found that the younger musically trained participants, in particular, outperformed their nontrained peers in the TMT-A, TMT-B and DS forwards tests. These tests all primarily require active maintenance of a rule in memory or immediate recall. In contrast, we found no group differences in the backwards test that requires manipulation and updating of information in working memory. These results suggest that musical training is more strongly associated with heightened working memory capacity and maintenance than enhanced working memory updating, especially in late childhood and early adolescence.
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Affiliation(s)
- Katri Annukka Saarikivi
- Cognitive Brain Research Unit, University of Helsinki, Helsinki, Finland
- Department of Psychology and Logopedics, Medicum, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Minna Huotilainen
- Department of Psychology and Logopedics, Medicum, Faculty of Medicine, University of Helsinki, Helsinki, Finland
- Faculty of Educational Sciences, University of Helsinki, Helsinki, Finland
| | - Mari Tervaniemi
- Department of Psychology and Logopedics, Medicum, Faculty of Medicine, University of Helsinki, Helsinki, Finland
- CICERO Learning, Faculty of Educational Sciences, University of Helsinki, Helsinki, Finland
| | - Vesa Putkinen
- Department of Psychology and Logopedics, Medicum, Faculty of Medicine, University of Helsinki, Helsinki, Finland
- Turku PET Centre, Turku, Finland
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12
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Musical playschool activities are linked to faster auditory development during preschool-age: a longitudinal ERP study. Sci Rep 2019; 9:11310. [PMID: 31383938 PMCID: PMC6683192 DOI: 10.1038/s41598-019-47467-z] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2018] [Accepted: 06/17/2019] [Indexed: 01/20/2023] Open
Abstract
The influence of musical experience on brain development has been mostly studied in school-aged children with formal musical training while little is known about the possible effects of less formal musical activities typical for preschool-aged children (e.g., before the age of seven). In the current study, we investigated whether the amount of musical group activities is reflected in the maturation of neural sound discrimination from toddler to preschool-age. Specifically, we recorded event-related potentials longitudinally (84 recordings from 33 children) in a mismatch negativity (MMN) paradigm to different musically relevant sound changes at ages 2–3, 4–5 and 6–7 years from children who attended a musical playschool throughout the follow-up period and children with shorter attendance to the same playschool. In the first group, we found a gradual positive to negative shift in the polarities of the mismatch responses while the latter group showed little evidence of age-related changes in neural sound discrimination. The current study indicates that the maturation of sound encoding indexed by the MMN may be more protracted than once thought and provides first longitudinal evidence that even quite informal musical group activities facilitate the development of neural sound discrimination during early childhood.
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13
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Kumagai Y, Matsui R, Tanaka T. Music Familiarity Affects EEG Entrainment When Little Attention Is Paid. Front Hum Neurosci 2018; 12:444. [PMID: 30459583 PMCID: PMC6232314 DOI: 10.3389/fnhum.2018.00444] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2018] [Accepted: 10/16/2018] [Indexed: 11/21/2022] Open
Abstract
To investigate the brain's response to music, many researchers have examined cortical entrainment in relation to periodic tunes, periodic beats, and music. Music familiarity is another factor that affects cortical entrainment, and electroencephalogram (EEG) studies have shown that stronger entrainment occurs while listening to unfamiliar music than while listening to familiar music. In the present study, we hypothesized that not only the level of familiarity but also the level of attention affects the level of entrainment. We simultaneously presented music and a silent movie to participants and we recorded an EEG while participants paid attention to either the music or the movie in order to investigate whether cortical entrainment is related to attention and music familiarity. The average cross-correlation function across channels, trials, and participants exhibited a pronounced positive peak at time lags around 130 ms and a negative peak at time lags around 260 ms. The statistical analysis of the two peaks revealed that the level of attention did not affect the level of entrainment, and, moreover, that in both the auditory-active and visual-active conditions, the entrainment level is stronger when listening to unfamiliar music than when listening to familiar music. This may indicate that the familiarity with music affects cortical activities when attention is not fully devoted to listening to music.
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Affiliation(s)
- Yuiko Kumagai
- Department of Electrical and Electronic Engineering, Tokyo University of Agriculture and Technology, Tokyo, Japan
| | - Ryosuke Matsui
- Department of Electrical and Electronic Engineering, Tokyo University of Agriculture and Technology, Tokyo, Japan
| | - Toshihisa Tanaka
- Department of Electrical and Electronic Engineering, Tokyo University of Agriculture and Technology, Tokyo, Japan.,RIKEN Center for Brain Science, Saitama, Japan.,RIKEN Center for Advanced Intelligence Project, Tokyo, Japan
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14
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Virtala P, Partanen E, Tervaniemi M, Kujala T. Neural discrimination of speech sound changes in a variable context occurs irrespective of attention and explicit awareness. Biol Psychol 2018; 132:217-227. [PMID: 29305875 DOI: 10.1016/j.biopsycho.2018.01.002] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2017] [Revised: 10/26/2017] [Accepted: 01/03/2018] [Indexed: 10/18/2022]
Abstract
To process complex stimuli like language, our auditory system must tolerate large acoustic variance, like speaker variability, and still be sensitive enough to discriminate between phonemes and to detect complex sound relationships in, e.g., prosodic cues. Our study determined discrimination of speech sounds in input mimicking natural speech variability, and detection of deviations in regular pitch relationships (rule violations) between speech sounds. We investigated the automaticity and the influence of attention and explicit awareness on these changes by recording the neurophysiological mismatch negativity (MMN) and P3a as well as task performance from 21 adults. The results showed neural discrimination of phonemes and rule violations as indicated by MMN and P3a, regardless of whether the sounds were attended or not, even when participants could not explicitly describe the rule. While small sample size precluded statistical analysis of some outcomes, we still found preliminary associations between the MMN amplitudes, task performance, and emerging explicit awareness of the rule. Our results highlight the automaticity of processing complex aspects of speech as a basis for the emerging conscious perception and explicit awareness of speech properties. While MMN operates at the implicit processing level, P3a appears to work at the borderline of implicit and explicit.
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Affiliation(s)
- P Virtala
- Cognitive Brain Research Unit, Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Finland; Cognitive Brain Research Unit, Institute for Behavioural Sciences, University of Helsinki, Finland.
| | - E Partanen
- Cognitive Brain Research Unit, Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Finland; Cognitive Brain Research Unit, Institute for Behavioural Sciences, University of Helsinki, Finland; Center of Functionally Integrative Neuroscience (CFIN), Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - M Tervaniemi
- Cognitive Brain Research Unit, Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Finland; Cognitive Brain Research Unit, Institute for Behavioural Sciences, University of Helsinki, Finland; Cicero Learning, University of Helsinki, Finland
| | - T Kujala
- Cognitive Brain Research Unit, Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Finland; Cognitive Brain Research Unit, Institute for Behavioural Sciences, University of Helsinki, Finland
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15
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Kumagai Y, Arvaneh M, Tanaka T. Familiarity Affects Entrainment of EEG in Music Listening. Front Hum Neurosci 2017; 11:384. [PMID: 28798673 PMCID: PMC5526927 DOI: 10.3389/fnhum.2017.00384] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2017] [Accepted: 07/10/2017] [Indexed: 11/13/2022] Open
Abstract
Music perception involves complex brain functions. The relationship between music and brain such as cortical entrainment to periodic tune, periodic beat, and music have been well investigated. It has also been reported that the cerebral cortex responded more strongly to the periodic rhythm of unfamiliar music than to that of familiar music. However, previous works mainly used simple and artificial auditory stimuli like pure tone or beep. It is still unclear how the brain response is influenced by the familiarity of music. To address this issue, we analyzed electroencelphalogram (EEG) to investigate the relationship between cortical response and familiarity of music using melodies produced by piano sounds as simple natural stimuli. The cross-correlation function averaged across trials, channels, and participants showed two pronounced peaks at time lags around 70 and 140 ms. At the two peaks the magnitude of the cross-correlation values were significantly larger when listening to unfamiliar and scrambled music compared to those when listening to familiar music. Our findings suggest that the response to unfamiliar music is stronger than that to familiar music. One potential application of our findings would be the discrimination of listeners' familiarity with music, which provides an important tool for assessment of brain activity.
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Affiliation(s)
- Yuiko Kumagai
- Department of Electrical and Electronic Engineering, Tokyo University of Agriculture and TechnologyKoganei-shi, Japan
| | - Mahnaz Arvaneh
- Department of Automatic Control and Systems Engineering, University of SheffieldSheffield, United Kingdom
| | - Toshihisa Tanaka
- Department of Electrical and Electronic Engineering, Tokyo University of Agriculture and TechnologyKoganei-shi, Japan.,RIKEN Brain Science InstituteWako-shi, Japan
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16
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Kumagai Y, Arvaneh M, Okawa H, Wada T, Tanaka T. Classification of familiarity based on cross-correlation features between EEG and music. ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. ANNUAL INTERNATIONAL CONFERENCE 2017; 2017:2879-2882. [PMID: 29060499 DOI: 10.1109/embc.2017.8037458] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Abstract
An approach to recognize the familiarity of a listener with music using both the electroencephalogram (EEG) signals and the music signal is proposed in this paper. Eight participants listened to melodies produced by piano sounds as simple natural stimuli. We classified the familiarity of each participant using cross-correlation values between EEG and the envelope of the music signal as features of the support vector machine (SVM) or neural network used. Here, we report that the maximum classification accuracy was 100% obtained by the SVM. These results suggest that the familiarity of music can be classified by cross-correlation values. The proposed approach can be used to recognize high-level brain states such as familiarity, preference, and emotion.
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17
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Bridwell DA, Leslie E, McCoy DQ, Plis SM, Calhoun VD. Cortical Sensitivity to Guitar Note Patterns: EEG Entrainment to Repetition and Key. Front Hum Neurosci 2017; 11:90. [PMID: 28298889 PMCID: PMC5331856 DOI: 10.3389/fnhum.2017.00090] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2016] [Accepted: 02/14/2017] [Indexed: 11/13/2022] Open
Abstract
Music is ubiquitous throughout recent human culture, and many individual's have an innate ability to appreciate and understand music. Our appreciation of music likely emerges from the brain's ability to process a series of repeated complex acoustic patterns. In order to understand these processes further, cortical responses were measured to a series of guitar notes presented with a musical pattern or without a pattern. ERP responses to individual notes were measured using a 24 electrode Bluetooth mobile EEG system (Smarting mBrainTrain) while 13 healthy non-musicians listened to structured (i.e., within musical keys and with repetition) or random sequences of guitar notes for 10 min each. We demonstrate an increased amplitude to the ERP that appears ~200 ms to notes presented within the musical sequence. This amplitude difference between random notes and patterned notes likely reflects individual's cortical sensitivity to guitar note patterns. These amplitudes were compared to ERP responses to a rare note embedded within a stream of frequent notes to determine whether the sensitivity to complex musical structure overlaps with the sensitivity to simple irregularities reflected in traditional auditory oddball experiments. Response amplitudes to the negative peak at ~175 ms are statistically correlated with the mismatch negativity (MMN) response measured to a rare note presented among a series of frequent notes (i.e., in a traditional oddball sequence), but responses to the subsequent positive peak at ~200 do not show a statistical relationship with the P300 response. Thus, the sensitivity to musical structure identified to 4 Hz note patterns appears somewhat distinct from the sensitivity to statistical regularities reflected in the traditional "auditory oddball" sequence. Overall, we suggest that this is a promising approach to examine individual's sensitivity to complex acoustic patterns, which may overlap with higher level cognitive processes, including language.
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Affiliation(s)
| | | | - Dakarai Q McCoy
- The Mind Research NetworkAlbuquerque, NM, USA; Department of Electrical and Computer Engineering, University of New MexicoAlbuquerque, NM, USA; The MARC Program, University of New MexicoAlbuquerque, NM, USA
| | | | - Vince D Calhoun
- The Mind Research NetworkAlbuquerque, NM, USA; Department of Electrical and Computer Engineering, University of New MexicoAlbuquerque, NM, USA
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18
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Huberth M, Fujioka T. Neural representation of a melodic motif: Effects of polyphonic contexts. Brain Cogn 2017; 111:144-155. [DOI: 10.1016/j.bandc.2016.11.003] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2016] [Revised: 09/26/2016] [Accepted: 11/11/2016] [Indexed: 11/28/2022]
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19
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Proverbio AM, Orlandi A, Pisanu F. Brain processing of consonance/dissonance in musicians and controls: a hemispheric asymmetry revisited. Eur J Neurosci 2016; 44:2340-56. [DOI: 10.1111/ejn.13330] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2016] [Revised: 06/28/2016] [Accepted: 07/01/2016] [Indexed: 11/28/2022]
Affiliation(s)
- Alice Mado Proverbio
- Milan-Mi Center for Neuroscience; Department of Psychology; University of Milano-Bicocca; piazza dell'Ateneo Nuovo 1 U6 Building Milan Italy
| | - Andrea Orlandi
- Milan-Mi Center for Neuroscience; Department of Psychology; University of Milano-Bicocca; piazza dell'Ateneo Nuovo 1 U6 Building Milan Italy
| | - Francesca Pisanu
- Milan-Mi Center for Neuroscience; Department of Psychology; University of Milano-Bicocca; piazza dell'Ateneo Nuovo 1 U6 Building Milan Italy
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20
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Tervaniemi M, Janhunen L, Kruck S, Putkinen V, Huotilainen M. Auditory Profiles of Classical, Jazz, and Rock Musicians: Genre-Specific Sensitivity to Musical Sound Features. Front Psychol 2016; 6:1900. [PMID: 26779055 PMCID: PMC4703758 DOI: 10.3389/fpsyg.2015.01900] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2015] [Accepted: 11/24/2015] [Indexed: 11/13/2022] Open
Abstract
When compared with individuals without explicit training in music, adult musicians have facilitated neural functions in several modalities. They also display structural changes in various brain areas, these changes corresponding to the intensity and duration of their musical training. Previous studies have focused on investigating musicians with training in Western classical music. However, musicians involved in different musical genres may display highly differentiated auditory profiles according to the demands set by their genre, i.e., varying importance of different musical sound features. This hypothesis was tested in a novel melody paradigm including deviants in tuning, timbre, rhythm, melody transpositions, and melody contour. Using this paradigm while the participants were watching a silent video and instructed to ignore the sounds, we compared classical, jazz, and rock musicians' and non-musicians' accuracy of neural encoding of the melody. In all groups of participants, all deviants elicited an MMN response, which is a cortical index of deviance discrimination. The strength of the MMN and the subsequent attentional P3a responses reflected the importance of various sound features in each music genre: these automatic brain responses were selectively enhanced to deviants in tuning (classical musicians), timing (classical and jazz musicians), transposition (jazz musicians), and melody contour (jazz and rock musicians). Taken together, these results indicate that musicians with different training history have highly specialized cortical reactivity to sounds which violate the neural template for melody content.
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Affiliation(s)
- Mari Tervaniemi
- Cognitive Brain Research Unit, Institute of Behavioural Sciences, University of HelsinkiHelsinki, Finland; CICERO Learning, University of HelsinkiHelsinki, Finland
| | - Lauri Janhunen
- Cognitive Brain Research Unit, Institute of Behavioural Sciences, University of Helsinki Helsinki, Finland
| | - Stefanie Kruck
- Cognitive Brain Research Unit, Institute of Behavioural Sciences, University of Helsinki Helsinki, Finland
| | - Vesa Putkinen
- Department of Music, University of Jyväskylä Jyväskylä, Finland
| | - Minna Huotilainen
- Cognitive Brain Research Unit, Institute of Behavioural Sciences, University of HelsinkiHelsinki, Finland; CICERO Learning, University of HelsinkiHelsinki, Finland; Finnish Institute of Occupational HealthHelsinki, Finland
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21
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Poikonen H, Alluri V, Brattico E, Lartillot O, Tervaniemi M, Huotilainen M. Event-related brain responses while listening to entire pieces of music. Neuroscience 2015; 312:58-73. [PMID: 26550950 DOI: 10.1016/j.neuroscience.2015.10.061] [Citation(s) in RCA: 37] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2015] [Revised: 10/28/2015] [Accepted: 10/30/2015] [Indexed: 12/19/2022]
Abstract
Brain responses to discrete short sounds have been studied intensively using the event-related potential (ERP) method, in which the electroencephalogram (EEG) signal is divided into epochs time-locked to stimuli of interest. Here we introduce and apply a novel technique which enables one to isolate ERPs in human elicited by continuous music. The ERPs were recorded during listening to a Tango Nuevo piece, a deep techno track and an acoustic lullaby. Acoustic features related to timbre, harmony, and dynamics of the audio signal were computationally extracted from the musical pieces. Negative deflation occurring around 100 milliseconds after the stimulus onset (N100) and positive deflation occurring around 200 milliseconds after the stimulus onset (P200) ERP responses to peak changes in the acoustic features were distinguishable and were often largest for Tango Nuevo. In addition to large changes in these musical features, long phases of low values that precede a rapid increase - and that we will call Preceding Low-Feature Phases - followed by a rapid increase enhanced the amplitudes of N100 and P200 responses. These ERP responses resembled those to simpler sounds, making it possible to utilize the tradition of ERP research with naturalistic paradigms.
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Affiliation(s)
- H Poikonen
- Cognitive Brain Research Unit, Cognitive Science, Institute of Behavioural Sciences, University of Helsinki, P.O. Box 9 (Siltavuorenpenger 1 B), FI-00014 University of Helsinki, Finland.
| | - V Alluri
- Department of Music, University of Jyväskylä, P.O. Box 35, 40014 University of Jyväskylä, Finland.
| | - E Brattico
- Cognitive Brain Research Unit, Cognitive Science, Institute of Behavioural Sciences, University of Helsinki, P.O. Box 9 (Siltavuorenpenger 1 B), FI-00014 University of Helsinki, Finland; Center for Music in the Brain (MIB), Department of Clinical Medicine, Aarhus University, Nørrebrograde 44, DK-8000 Aarhus C, Denmark.
| | - O Lartillot
- Department of Architecture, Design and Media Technology, University of Aalborg, Rendsburggade 14, DK-9000 Aalborg, Denmark.
| | - M Tervaniemi
- Cognitive Brain Research Unit, Cognitive Science, Institute of Behavioural Sciences, University of Helsinki, P.O. Box 9 (Siltavuorenpenger 1 B), FI-00014 University of Helsinki, Finland; Cicero Learning, P.O. Box 9 (Siltavuorenpenger 5 A), FI-00014 University of Helsinki, Finland.
| | - M Huotilainen
- Cognitive Brain Research Unit, Cognitive Science, Institute of Behavioural Sciences, University of Helsinki, P.O. Box 9 (Siltavuorenpenger 1 B), FI-00014 University of Helsinki, Finland; Cicero Learning, P.O. Box 9 (Siltavuorenpenger 5 A), FI-00014 University of Helsinki, Finland; Finnish Institute of Occupational Health, Haartmaninkatu 1 A, 00250 Helsinki, Finland.
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22
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The Mismatch Negativity: An Indicator of Perception of Regularities in Music. Behav Neurol 2015; 2015:469508. [PMID: 26504352 PMCID: PMC4609411 DOI: 10.1155/2015/469508] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2015] [Revised: 07/23/2015] [Accepted: 07/26/2015] [Indexed: 11/17/2022] Open
Abstract
This paper reviews music research using Mismatch Negativity (MMN). MMN is a deviation-specific component of auditory event-related potential (EPR), which detects a deviation between a sound and an internal representation (e.g., memory trace). Recent studies have expanded the notion and the paradigms of MMN to higher-order music processing such as those involving short melodies, harmony chord, and music syntax. In this vein, we firstly reviewed the evolution of MMN from sound to music and then mainly compared the differences of MMN features between musicians and nonmusicians, followed by the discussion of the potential roles of the training effect and the natural exposure in MMN. Since MMN can serve as an index of neural plasticity, it thus can be widely used in clinical and other applied areas, such as detecting music preference in newborns or assessing wholeness of central auditory system of hearing illness. Finally, we pointed out some open questions and further directions. Current music perception research using MMN has mainly focused on relatively low hierarchical structure of music perception. To fully understand the neural substrates underlying processing of regularities in music, it is important and beneficial to combine MMN with other experimental paradigms such as early right-anterior negativity (ERAN).
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23
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Putkinen V, Tervaniemi M, Saarikivi K, Huotilainen M. Promises of formal and informal musical activities in advancing neurocognitive development throughout childhood. Ann N Y Acad Sci 2015; 1337:153-62. [PMID: 25773630 DOI: 10.1111/nyas.12656] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
Adult musicians show superior neural sound discrimination when compared to nonmusicians. However, it is unclear whether these group differences reflect the effects of experience or preexisting neural enhancement in individuals who seek out musical training. Tracking how brain function matures over time in musically trained and nontrained children can shed light on this issue. Here, we review our recent longitudinal event-related potential (ERP) studies that examine how formal musical training and less formal musical activities influence the maturation of brain responses related to sound discrimination and auditory attention. These studies found that musically trained school-aged children and preschool-aged children attending a musical playschool show more rapid maturation of neural sound discrimination than their control peers. Importantly, we found no evidence for pretraining group differences. In a related cross-sectional study, we found ERP and behavioral evidence for improved executive functions and control over auditory novelty processing in musically trained school-aged children and adolescents. Taken together, these studies provide evidence for the causal role of formal musical training and less formal musical activities in shaping the development of important neural auditory skills and suggest transfer effects with domain-general implications.
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Affiliation(s)
- Vesa Putkinen
- Cognitive Brain Research Unit, Cognitive Science, Institute of Behavioural Sciences, University of Helsinki, Helsinki, Finland; Finnish Centre of Interdisciplinary Music Research, University of Jyväskylä, Jyväskylä, Finland
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24
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Rigoulot S, Pell MD, Armony JL. Time course of the influence of musical expertise on the processing of vocal and musical sounds. Neuroscience 2015; 290:175-84. [PMID: 25637804 DOI: 10.1016/j.neuroscience.2015.01.033] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2014] [Revised: 01/09/2015] [Accepted: 01/12/2015] [Indexed: 11/18/2022]
Abstract
Previous functional magnetic resonance imaging (fMRI) studies have suggested that different cerebral regions preferentially process human voice and music. Yet, little is known on the temporal course of the brain processes that decode the category of sounds and how the expertise in one sound category can impact these processes. To address this question, we recorded the electroencephalogram (EEG) of 15 musicians and 18 non-musicians while they were listening to short musical excerpts (piano and violin) and vocal stimuli (speech and non-linguistic vocalizations). The task of the participants was to detect noise targets embedded within the stream of sounds. Event-related potentials revealed an early differentiation of sound category, within the first 100 ms after the onset of the sound, with mostly increased responses to musical sounds. Importantly, this effect was modulated by the musical background of participants, as musicians were more responsive to music sounds than non-musicians, consistent with the notion that musical training increases sensitivity to music. In late temporal windows, brain responses were enhanced in response to vocal stimuli, but musicians were still more responsive to music. These results shed new light on the temporal course of neural dynamics of auditory processing and reveal how it is impacted by the stimulus category and the expertise of participants.
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Affiliation(s)
- S Rigoulot
- Centre for Research on Brain, Language and Music (CRBLM), Montreal, Canada; Department of Psychiatry, McGill University and Douglas Mental Health University Institute, Montreal, Canada.
| | - M D Pell
- Centre for Research on Brain, Language and Music (CRBLM), Montreal, Canada; School of Communication Sciences and Disorders, McGill University, Canada
| | - J L Armony
- Centre for Research on Brain, Language and Music (CRBLM), Montreal, Canada; Department of Psychiatry, McGill University and Douglas Mental Health University Institute, Montreal, Canada
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