NDLI: Methods for Tracking Dynamically Coupled Brain-Body Activities during Natural Movement

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Methods for Tracking Dynamically Coupled Brain-Body Activities during Natural Movement

Content Provider	ACM Digital Library
Author	Ryu, Jihye Torres, Elizabeth B. Vero, Joseph
Abstract	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.
Starting Page	1
Ending Page	8
Page Count	8
File Format	PDF
ISBN	9781450352093
DOI	10.1145/3077981.3078054
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2017-06-28
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Brain-body interface Stochastic analysis Gait Graphical network analysis Weighted directed graph Network connectivity
Content Type	Text
Resource Type	Article

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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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