29
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Naturalistic music and dance: Cortical phase synchrony in musicians and dancers

      research-article
      1 , * , 2 , 1 , 3
      PLoS ONE
      Public Library of Science

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Expertise in music has been investigated for decades and the results have been applied not only in composition, performance and music education, but also in understanding brain plasticity in a larger context. Several studies have revealed a strong connection between auditory and motor processes and listening to and performing music, and music imagination. Recently, as a logical next step in music and movement, the cognitive and affective neurosciences have been directed towards expertise in dance. To understand the versatile and overlapping processes during artistic stimuli, such as music and dance, it is necessary to study them with continuous naturalistic stimuli. Thus, we used long excerpts from the contemporary dance piece Carmen presented with and without music to professional dancers, musicians, and laymen in an EEG laboratory. We were interested in the cortical phase synchrony within each participant group over several frequency bands during uni- and multimodal processing. Dancers had strengthened theta and gamma synchrony during music relative to silence and silent dance, whereas the presence of music decreased systematically the alpha and beta synchrony in musicians. Laymen were the only group of participants with significant results related to dance. Future studies are required to understand whether these results are related to some other factor (such as familiarity to the stimuli), or if our results reveal a new point of view to dance observation and expertise.

          Related collections

          Most cited references40

          • Record: found
          • Abstract: not found
          • Article: not found

          Detection ofn:mPhase Locking from Noisy Data: Application to Magnetoencephalography

            Bookmark
            • Record: found
            • Abstract: found
            • Article: found
            Is Open Access

            Inter-Brain Synchronization during Social Interaction

            During social interaction, both participants are continuously active, each modifying their own actions in response to the continuously changing actions of the partner. This continuous mutual adaptation results in interactional synchrony to which both members contribute. Freely exchanging the role of imitator and model is a well-framed example of interactional synchrony resulting from a mutual behavioral negotiation. How the participants' brain activity underlies this process is currently a question that hyperscanning recordings allow us to explore. In particular, it remains largely unknown to what extent oscillatory synchronization could emerge between two brains during social interaction. To explore this issue, 18 participants paired as 9 dyads were recorded with dual-video and dual-EEG setups while they were engaged in spontaneous imitation of hand movements. We measured interactional synchrony and the turn-taking between model and imitator. We discovered by the use of nonlinear techniques that states of interactional synchrony correlate with the emergence of an interbrain synchronizing network in the alpha-mu band between the right centroparietal regions. These regions have been suggested to play a pivotal role in social interaction. Here, they acted symmetrically as key functional hubs in the interindividual brainweb. Additionally, neural synchronization became asymmetrical in the higher frequency bands possibly reflecting a top-down modulation of the roles of model and imitator in the ongoing interaction.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Source connectivity analysis with MEG and EEG.

              Interactions between functionally specialized brain regions are crucial for normal brain function. Magnetoencephalography (MEG) and electroencephalography (EEG) are techniques suited to capture these interactions, because they provide whole head measurements of brain activity in the millisecond range. More than one sensor picks up the activity of an underlying source. This field spread severely limits the utility of connectivity measures computed directly between sensor recordings. Consequentially, neuronal interactions should be studied on the level of the reconstructed sources. This article reviews several methods that have been applied to investigate interactions between brain regions in source space. We will mainly focus on the different measures used to quantify connectivity, and on the different strategies adopted to identify regions of interest. Despite various successful accounts of MEG and EEG source connectivity, caution with respect to the interpretation of the results is still warranted. This is due to the fact that effects of field spread can never be completely abolished in source space. However, in this very exciting and developing field of research this cautionary note should not discourage researchers from further investigation into the connectivity between neuronal sources. (c) 2009 Wiley-Liss, Inc.
                Bookmark

                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: Project administrationRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: Data curationRole: Funding acquisitionRole: ResourcesRole: SupervisionRole: Writing – review & editing
                Role: ConceptualizationRole: Data curationRole: Funding acquisitionRole: ResourcesRole: SupervisionRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                19 April 2018
                2018
                : 13
                : 4
                : e0196065
                Affiliations
                [1 ] Cognitive Brain Research Unit, Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Helsinki, Finland
                [2 ] Department of Music, Art and Culture Studies, University of Jyväskylä, Jyväskylä, Finland
                [3 ] Cicero Learning, Faculty of Educational Sciences, University of Helsinki, Helsinki, Finland
                University of Western Ontario, CANADA
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Author information
                http://orcid.org/0000-0001-7337-7042
                Article
                PONE-D-17-24300
                10.1371/journal.pone.0196065
                5908167
                29672597
                65af03e2-9c68-4eaf-8ef1-67bedd51c0cc
                © 2018 Poikonen et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 27 June 2017
                : 5 April 2018
                Page count
                Figures: 3, Tables: 3, Pages: 18
                Funding
                Funded by: funder-id http://dx.doi.org/10.13039/501100005781, Koneen Säätiö;
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/501100004325, Signe ja Ane Gyllenbergin Säätiö;
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/501100002341, Suomen Akatemia;
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/501100003125, Suomen Kulttuurirahasto;
                Award Recipient :
                Funded by: The Art and Science Association of Jyväskylä, Finland
                Award Recipient :
                Funded by: Suomen Akatemia
                Award Recipient :
                This work was supported by Kone Foundation http://www.koneensaatio.fi/en/ (HP); Signe and Ane Gyllenberg Foundation http://gyllenbergs.fi/en/ (HP); Academy of Finland http://www.aka.fi/en/ (PT and MT); Finnish Cultural Foundation https://skr.fi/en (MT); The Art and Science Association of Jyväskylä, Finland (HP). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Physical Sciences
                Physics
                Acoustics
                Bioacoustics
                Biology and Life Sciences
                Bioacoustics
                Biology and Life Sciences
                Neuroscience
                Cognitive Science
                Cognitive Psychology
                Music Cognition
                Biology and Life Sciences
                Psychology
                Cognitive Psychology
                Music Cognition
                Social Sciences
                Psychology
                Cognitive Psychology
                Music Cognition
                Research and Analysis Methods
                Bioassays and Physiological Analysis
                Electrophysiological Techniques
                Brain Electrophysiology
                Electroencephalography
                Biology and Life Sciences
                Physiology
                Electrophysiology
                Neurophysiology
                Brain Electrophysiology
                Electroencephalography
                Medicine and Health Sciences
                Physiology
                Electrophysiology
                Neurophysiology
                Brain Electrophysiology
                Electroencephalography
                Biology and Life Sciences
                Neuroscience
                Neurophysiology
                Brain Electrophysiology
                Electroencephalography
                Biology and Life Sciences
                Neuroscience
                Brain Mapping
                Electroencephalography
                Medicine and Health Sciences
                Clinical Medicine
                Clinical Neurophysiology
                Electroencephalography
                Research and Analysis Methods
                Imaging Techniques
                Neuroimaging
                Electroencephalography
                Biology and Life Sciences
                Neuroscience
                Neuroimaging
                Electroencephalography
                Biology and Life Sciences
                Neuroscience
                Cognitive Science
                Cognitive Psychology
                Music Cognition
                Music Perception
                Biology and Life Sciences
                Psychology
                Cognitive Psychology
                Music Cognition
                Music Perception
                Social Sciences
                Psychology
                Cognitive Psychology
                Music Cognition
                Music Perception
                Biology and Life Sciences
                Neuroscience
                Sensory Perception
                Music Perception
                Biology and Life Sciences
                Psychology
                Sensory Perception
                Music Perception
                Social Sciences
                Psychology
                Sensory Perception
                Music Perception
                Biology and Life Sciences
                Anatomy
                Musculoskeletal System
                Medicine and Health Sciences
                Anatomy
                Musculoskeletal System
                Physical Sciences
                Physics
                Classical Mechanics
                Acceleration
                Biology and Life Sciences
                Psychology
                Emotions
                Social Sciences
                Psychology
                Emotions
                Biology and Life Sciences
                Anatomy
                Nervous System
                Central Nervous System
                Medicine and Health Sciences
                Anatomy
                Nervous System
                Central Nervous System
                Custom metadata
                Study data cannot be shared publicly due to the fact that the participants were not informed of the possibility that their data would be openly available. In contrast, the data was promised to be kept anonymous and out of access of others than the researchers of this project. The numerical data calculated from the preprocessed EEG data, which was used in the statistical analyses, are available from the Cicero Learning (University of Helsinki, Finland, www.cicero.fi, cicero-learning@ 123456helsinki.fi ).

                Uncategorized
                Uncategorized

                Comments

                Comment on this article