Cortical Imaging of Sensorimotor Rhythm during On-line Control of Brain-computer Interface

It is of wide interest to study the brain activity that correlates to the control of Brain-Computer Interface (BCI). In the present study, we propose an approach to image the cortical rhythmic modulation by motor imagery using minimum-norm estimates (MNE) in the frequency domain. Cortical distributi...

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Published in2007 Joint Meeting of the 6th International Symposium on Noninvasive Functional Source Imaging of the Brain and Heart and the International Conference on Functional Biomedical Imaging pp. 327 - 329
Main Authors Han Yuan, Doud, A.J., Gururajan, A., Bin He
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2007
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Abstract It is of wide interest to study the brain activity that correlates to the control of Brain-Computer Interface (BCI). In the present study, we propose an approach to image the cortical rhythmic modulation by motor imagery using minimum-norm estimates (MNE) in the frequency domain. Cortical distribution of mu activity during online control of BCI was obtained with the MNE. Statistical source analysis revealed maximum correlation with one-dimensional movement localized in sensorimotor cortex.
AbstractList It is of wide interest to study the brain activity that correlates to the control of Brain-Computer Interface (BCI). In the present study, we propose an approach to image the cortical rhythmic modulation by motor imagery using minimum-norm estimates (MNE) in the frequency domain. Cortical distribution of mu activity during online control of BCI was obtained with the MNE. Statistical source analysis revealed maximum correlation with one-dimensional movement localized in sensorimotor cortex.
Author Gururajan, A.
Doud, A.J.
Han Yuan
Bin He
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PublicationTitle 2007 Joint Meeting of the 6th International Symposium on Noninvasive Functional Source Imaging of the Brain and Heart and the International Conference on Functional Biomedical Imaging
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Snippet It is of wide interest to study the brain activity that correlates to the control of Brain-Computer Interface (BCI). In the present study, we propose an...
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StartPage 327
SubjectTerms Biological control systems
Brain computer interfaces
Communication system control
Electrodes
Electroencephalography
Frequency domain analysis
Frequency estimation
Magnetic resonance imaging
Rhythm
Scalp
Title Cortical Imaging of Sensorimotor Rhythm during On-line Control of Brain-computer Interface
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