Brain-machine interface via real-time fMRI: Preliminary study on thought-controlled robotic arm

Jong Hwan Lee, Jeongwon Ryu, Ferenc A. Jolesz, Zang Hee Cho, Seung Schik Yoo

Research output: Contribution to journalArticle

101 Citations (Scopus)

Abstract

Real-time functional MRI (rtfMRI) has been used as a basis for brain-computer interface (BCI) due to its ability to characterize region-specific brain activity in real-time. As an extension of BCI, we present an rtfMRI-based brain-machine interface (BMI) whereby 2-dimensional movement of a robotic arm was controlled by the regulation (and concurrent detection) of regional cortical activations in the primary motor areas. To do so, the subjects were engaged in the right- and/or left-hand motor imagery tasks. The blood oxygenation level dependent (BOLD) signal originating from the corresponding hand motor areas was then translated into horizontal or vertical robotic arm movement. The movement was broadcasted visually back to the subject as a feedback. We demonstrated that real-time control of the robotic arm only through the subjects' thought processes was possible using the rtfMRI-based BMI trials.

Original languageEnglish
Pages (from-to)1-6
Number of pages6
JournalNeuroscience Letters
Volume450
Issue number1
DOIs
Publication statusPublished - 2009 Jan 23

Keywords

  • Blood oxygenation level dependent (BOLD)
  • Brain mapping
  • Brain-computer interface (BCI)
  • Real-time fMRI (rtfMRI)

ASJC Scopus subject areas

  • Neuroscience(all)

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