Motor trajectory decoding based on fMRI-based BCI - A simulation study

Seungkyu Nam, Kyung Hwan Kim, Dae Shik Kim

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

2 Citations (Scopus)

Abstract

Recent brain computer interface (BCI) studies using chronically implanted microelectrode array demonstrated that electro-physiological responses from primary motor cortex (M1) can be successfully used to control a robotic arm by reading subjects' intention to move their arm [1]. In order to avoid the invasiveness of electrophysiological recording, more non-invasive approaches such as EEG or fMRI was likewise proposed. However, most non-invasive BCI studies suffer from the fact that they classify brain differential activity states, rather than deciphering the actual neural responses underlying the target behavior. In this simulation study, in order to decode the brain activity states underlying the target behavior from the fMRI signals, we found the directional tuning properties, a basic functional property of neural activity in M1, at the voxel level for motor trajectory decoding, and we performed a simulation to demonstrate that it is feasible to control the robotic arm in real time based on multi-voxel patterns.

Original languageEnglish
Title of host publication2013 International Winter Workshop on Brain-Computer Interface, BCI 2013
Pages89-91
Number of pages3
DOIs
Publication statusPublished - 2013 May 17
Event2013 International Winter Workshop on Brain-Computer Interface, BCI 2013 - Gangwon Province, Korea, Republic of
Duration: 2013 Feb 182013 Feb 20

Publication series

Name2013 International Winter Workshop on Brain-Computer Interface, BCI 2013

Other

Other2013 International Winter Workshop on Brain-Computer Interface, BCI 2013
CountryKorea, Republic of
CityGangwon Province
Period13/2/1813/2/20

All Science Journal Classification (ASJC) codes

  • Human-Computer Interaction

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    Nam, S., Kim, K. H., & Kim, D. S. (2013). Motor trajectory decoding based on fMRI-based BCI - A simulation study. In 2013 International Winter Workshop on Brain-Computer Interface, BCI 2013 (pp. 89-91). [6506641] (2013 International Winter Workshop on Brain-Computer Interface, BCI 2013). https://doi.org/10.1109/IWW-BCI.2013.6506641