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  Combining EEG, MIDI, and motion capture techniques for investigating musical performance

Maidhof, C., Kästner, T., & Makkonen, T. (2014). Combining EEG, MIDI, and motion capture techniques for investigating musical performance. Behavior Research Methods, 46(1), 185-195. doi:10.3758/s13428-013-0363-9.

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 Creators:
Maidhof, Clemens1, 2, Author           
Kästner, Torsten3, Author           
Makkonen, Tommi1, 4, Author
Affiliations:
1Cognitive Brain Research Unit, Institute of Behavioural Sciences, University of Helsinki, Finland, ou_persistent22              
2Max Planck Research Group Neurocognition of Music, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634566              
3Department Social Neuroscience, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634552              
4Finnish Centre of Excellence in Interdisciplinary Music Research, University of Jyväskylä, Finland, ou_persistent22              

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Free keywords: EEG; Motion capture; MIDI; Music performance; Simultaneous data acquisition
 Abstract: This article describes a setup for the simultaneous recording of electrophysiological data (EEG), musical data (MIDI), and three-dimensional movement data. Previously, each of these three different kinds of measurements, conducted sequentially, has been proven to provide important information about different aspects of music performance as an example of a demanding multisensory motor skill. With the method described here, it is possible to record brain-related activity and movement data simultaneously, with accurate timing resolution and at relatively low costs. EEG and MIDI data were synchronized with a modified version of the FTAP software, sending synchronization signals to the EEG recording device simultaneously with keypress events. Similarly, a motion capture system sent synchronization signals simultaneously with each recorded frame. The setup can be used for studies investigating cognitive and motor processes during music performance and music-like tasks—for example, in the domains of motor control, learning, music therapy, or musical emotions. Thus, this setup offers a promising possibility of a more behaviorally driven analysis of brain activity.

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Language(s): eng - English
 Dates: 2013-08-132014-03
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.3758/s13428-013-0363-9
PMID: 23943580
 Degree: -

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Title: Behavior Research Methods
Source Genre: Journal
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Publ. Info: Austin, TX : Psychonomic Society
Pages: - Volume / Issue: 46 (1) Sequence Number: - Start / End Page: 185 - 195 Identifier: ISSN: 1554-3528
CoNE: https://pure.mpg.de/cone/journals/resource/1554-3528