Methods for tracking dynamically coupled brain-body activities during natural movement

Jihye Ryu, Joseph Vero, Elizabeth B. Torres

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Scopus citations


A fundamental property of movement is its dynamically changing variability and its adaptive nature. These features seem to be connected to the cognitive control of our actions by the brain. However, it has been a challenge to connect cognitive neuroscience and movement science in developing a framework amenable to study the coupled dynamics of the brain and body during natural movements. Part of the problem has been the lack of proper sensors to probe both activities in tandem. Fortunately, contemporary advances in wireless technology with high sampling resolution have paved the way to address this challenge. In this paper, we make use of wireless wearable sensors and a new statistical platform to study the dynamic interactions of the brain, body and heart during natural walking. To examine the influence of cognitive tasks on deliberate (self-emergent), spontaneous, or inevitable (autonomic) processes, we combine the use of a metronome and specific instructions on paced breathing, while harnessing the heart signal underlying the evoked behaviors. This paper presents a new platform for the individualized behavioral analyses, which incorporates a new set of data types and visualization tools, to quantify the outcome of such experimental paradigm. We discuss our results and suggest that these new methods and paradigm may serve to unify and advance the fields of cognitive neuroscience and neuro-motor control.

Original languageEnglish (US)
Title of host publicationMOCO 2017 - Proceedings of the 4th International Conference on Movement Computing
EditorsKiona Niehaus
PublisherAssociation for Computing Machinery
ISBN (Electronic)1595930361, 9781450352093
StatePublished - Jun 28 2017
Event4th International Conference on Movement Computing, MOCO 2017 - London, United Kingdom
Duration: Jun 28 2017Jun 30 2017

Publication series

NameACM International Conference Proceeding Series
VolumePart F129150


Other4th International Conference on Movement Computing, MOCO 2017
Country/TerritoryUnited Kingdom

All Science Journal Classification (ASJC) codes

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications


  • Brain-body interface
  • Gait
  • Graphical network analysis
  • Network connectivity
  • Stochastic analysis
  • Weighted directed graph


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