| Zdroj: |
Bliddal, H, Christensen, C B, Møller, C, Vuust, P & Kidmose, P 2021, ' Neural correlates of beat perception measured using ear-EEG : Bringing EEG music studies into the concert hall ', Rhythm Production and Perception Workshop 2021, Oslo, Norway, 22/06/2021-25/06/2021 . |
| Popis: |
Neural correlates of beat perception measured using ear-EEG Bringing EEG music studies into the concert hall Heidi Bliddal1, Christian Bech Christensen1, Cecilie Møller2, Peter Vuust2, and Preben Kidmose1 1 Department of Engineering, Biomedical engineering, Aarhus University, Denmark 2 Center for Music in the Brain, Aarhus University & The Royal Academy of Music Aarhus/Aalborg, Denmark Ear-EEG is a promising novel technology that records electroencephalography (EEG), from electrodes inside the ear. This allows for a discrete and mobile recording of EEG and makes it possible to record EEG in natural environments (1). Nozaradan et al. (2011)(2) used scalp EEG to study neural responses to an isochronous sequence of sounds under three conditions: a control condition and two imagery conditions where participants were instructed to imagine accents on every second (march) or third (waltz) beat. A significant peak was found at the frequency of the imagined beat only in the matching imagery conditions. Since no physical accents were present in the stimulus, the peaks at meter-related frequencies indicate higher order processing of the sound sequence. The aim of the present combined scalp- and ear-EEG study (n=20) was to determine whether neural correlates of beat perception can be measured using ear-EEG. To investigate this, we used an adapted version of the Nozaradan paradigm, and an additional polyrhythm paradigm. We included both in order to compare the neural correlates of instructed, induced, and spontaneous beat perception. In the polyrhythm paradigm we used an ambiguous 2:3 polyrhythm preceded by no priming or by the same rhythm emphasizing the 2-beat or the 3-beat. Comparing different kinds of beat perception is particularly important here because there could be different underlying neuronal sources depending on the nature of the beat perception. Thus, the scalp EEG might measure some sources that the ear-EEG cannot. At the time of writing data collection was still ongoing. We conducted a pilot study which included two musicians using electrodes around the ear instead of the ear-EEG used in the ongoing data collection. Pilot data using only the electrodes around the ear, obtained with the Nozaradan paradigm, showed a significantly greater amplitude at the march-related frequency in the march imagery condition compared to the control condition for one participant (p References 1. Kappel SL, Rank ML, Toft HO, Andersen M, Kidmose P. Dry-Contact Electrode Ear-EEG. IEEE Trans Biomed Eng. 2019;66(1):150–8. 2. Nozaradan S, Peretz I, Missal M, Mouraux A. Tagging the neuronal entrainment to beat and meter. J Neurosci Off J Soc Neurosci. 13. juli 2011;31(28):10234–40. Ear-EEG is a promising novel technology that records electroencephalography (EEG), from electrodes inside the ear. This allows for a discrete and mobile recording of EEG and makes it possible to record EEG in natural environments (1). Nozaradan et al. (2011)(2) used scalp EEG to study neural responses to an isochronous sequence of sounds under three conditions: a control condition and two imagery conditions where participants were instructed to imagine accents on every second (march) or third (waltz) beat. A significant peak was found at the frequency of the imagined beat only in the matching imagery conditions. Since no physical accents were present in the stimulus, the peaks at meter-related frequencies indicate higher order processing of the sound sequence. The aim of the present combined scalp- and ear-EEG study (n=20) was to determine whether neural correlates of beat perception can be measured using ear-EEG. To investigate this, we used an adapted version of the Nozaradan paradigm, and an additional polyrhythm paradigm. We included both in order to compare the neural correlates of instructed, induced, and spontaneous beat perception. In the polyrhythm paradigm we used an ambiguous 2:3 polyrhythm preceded by no priming or by the same rhythm emphasizing the 2-beat or the 3-beat. Comparing different kinds of beat perception is particularly important here because there could be different underlying neuronal sources depending on the nature of the beat perception. Thus, the scalp EEG might measure some sources that the ear-EEG cannot. At the time of writing data collection was still ongoing. We conducted a pilot study which included two musicians using electrodes around the ear instead of the ear-EEG used in the ongoing data collection. Pilot data using only the electrodes around the ear, obtained with the Nozaradan paradigm, showed a significantly greater amplitude at the march-related frequency in the march imagery condition compared to the control condition for one participant (p References 1. Kappel SL, Rank ML, Toft HO, Andersen M, Kidmose P. Dry-Contact Electrode Ear-EEG. IEEE Trans Biomed Eng. 2019;66(1):150–8. 2. Nozaradan S, Peretz I, Missal M, Mouraux A. Tagging the neuronal entrainment to beat and meter. J Neurosci Off J Soc Neurosci. 13. juli 2011;31(28):10234–40. |
