Simultaneous decoding of velocity and speed during executed and observed tracking movements: an MEG study

Reinmar Kobler, Masayuki Hirata, Hiroaki Hashimoto, Ryosuke Dowaki, Andreea Ioana Sburlea, Gernot Müller-Putz

Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review


Brain signals carry rich information about voluntary upper-limb movements. Accessing this information to control an end-effector (upper-limb, robotic arm, cursor) has been a central topic in brain-computer interface (BCI) research. To date, non-invasive BCIs based on kinematics decoding have focused on extracting partial information (i.e, single or highly correlated kinematic parameters). In this work, we show that low-frequency magnetoencephalographic (MEG) signals simultaneously carry information about multiple kinematic parameters. Using linear models, we decoded cursor velocity and speed during executed and observed tracking movements with moderate (0.2 to 0.4) correlation coefficients (CCs). Comparing the CCs between executed and observed tracking movements, revealed that the MEG signals carried more information (0.1 higher CCs) about velocity and speed during the executed tracking movements. The higher correlations were mainly explained by increased predictive activity in primary sensorimotor areas. We could, therefore, show that non-invasive BCIs have the potential to extract multiple kinematic signals from brain activity in sensorimotor areas.
Original languageEnglish
Title of host publicationProceedings of the 8th Graz Brain-Computer Interface Conference 2019
Subtitle of host publicationBridging Science and Application
EditorsGernot Müller-Putz, Jonas Ditz, Selina Wriessnegger
Place of PublicationGraz
PublisherVerlag der Technischen Universität Graz
Number of pages6
ISBN (Print)978-3-85125-682-6
Publication statusPublished - 18 Sept 2019
Event8th Graz Brain-Computer Interface Conference 2019: Bridging Science and Application - Petersgasse 16, Graz, Austria
Duration: 16 Sept 201920 Sept 2019
Conference number: 8


Conference8th Graz Brain-Computer Interface Conference 2019
Abbreviated titleGBCIC 2019
Internet address


  • magnetoencephalography
  • kinematics
  • velocity
  • speed
  • brain-computer interface
  • motor cortex
  • continuous movement
  • parietal cortex

ASJC Scopus subject areas

  • Signal Processing
  • Neuroscience (miscellaneous)
  • Sensory Systems
  • Biomedical Engineering

Fields of Expertise

  • Human- & Biotechnology

Treatment code (Nähere Zuordnung)

  • Basic - Fundamental (Grundlagenforschung)


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