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

doi:10.1016/j.neulet.2008.11.024

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 journal › Article › peer-review

126 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 language	English
Pages (from-to)	1-6
Number of pages	6
Journal	Neuroscience Letters
Volume	450
Issue number	1
DOIs	https://doi.org/10.1016/j.neulet.2008.11.024
Publication status	Published - 2009 Jan 23
Externally published	Yes

Bibliographical note

Funding Information:
Sources of Support: This work was partially supported in part by grants from NIH (R01-NS048242 to Yoo, SS and NIH U41RR019703 to Jolesz, FA) and from Gachon Neuroscience Research Institute (to Yoo).

Keywords

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

ASJC Scopus subject areas

General Neuroscience

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10.1016/j.neulet.2008.11.024

Cite this

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

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.",

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author = "Lee, {Jong Hwan} and Jeongwon Ryu and Jolesz, {Ferenc A.} and Cho, {Zang Hee} and Yoo, {Seung Schik}",

note = "Funding Information: Sources of Support: This work was partially supported in part by grants from NIH (R01-NS048242 to Yoo, SS and NIH U41RR019703 to Jolesz, FA) and from Gachon Neuroscience Research Institute (to Yoo).",

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AU - Cho, Zang Hee

AU - Yoo, Seung Schik

N1 - Funding Information: Sources of Support: This work was partially supported in part by grants from NIH (R01-NS048242 to Yoo, SS and NIH U41RR019703 to Jolesz, FA) and from Gachon Neuroscience Research Institute (to Yoo).

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

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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