Cited by 120EEG and Brain-Computer InterfacesNeural dynamics and brain functionMuscle activation and electromyography studies

Cortical imaging of event-related (de)synchronization during online control of brain-computer interface using minimum-norm estimates in frequency domain

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Yuan, Han, Doud, Alexander, Gururajan, Arvind, He, Bin·2008·IEEE Transactions on Neural Systems and Rehabilitation Engineering

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 have developed an approach to image the cortical rhythmic modulation associated with motor imagery using minimum-norm estimates in the frequency domain (MNEFD). The distribution of cortical sources of mu activity during online control of BCI was obtained with the MNEFD. Contralateral decrease (event-related desynchronization) and ipsilateral increase (event-related synchronization) are localized in the sensorimotor cortex during online control of BCI in a group of human subjects. Statistical source analysis revealed that maximum correlation with movement imagination is localized in sensorimotor cortex.

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  1. [2]Gastaut H Terzian H Gastaut Y Étude d’une activité électroencéphalographique méconnue: ‘le rhythme rolandique en arceau’ Marseille Méd 1952 vol. 89 296 310 12991978

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Authors
Yuan, H., Doud, A., Gururajan, A., & He, B.
Affiliations
University of Minnesota (US)
Corresponding author
He, Bin
Venue
IEEE Transactions on Neural Systems and Rehabilitation Engineering
Published
2008-10
Volume
16
Issue
5
Pages
425-431
ISSN
  • 1534-4320 (ISSN-L)
  • 1558-0210
OpenAlex
W2110009334
Cited by
120
References
40
Citations by year
2025: 3 · 2024: 3 · 2023: 3 · 2022: 6 · 2021: 7 · 2020: 6 · 2019: 7 · 2018: 12 · 2017: 7 · 2016: 13 · 2015: 7 · 2014: 6 · 2013: 10 · 2012: 6
FWCI
4.13
Type
journal article
Language
en
Open access
Locations
  • IEEE Transactions on Neural Systems and Rehabilitation Engineering (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
Funders
  • Tsinghua University
  • National Institute of Diabetes and Digestive and Kidney Diseases (T90DK070106)
  • National Institute of Biomedical Imaging and Bioengineering (R01-EB-00178, R01EB000178, R01EB007920)
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
  • Physical Sciences › Engineering › Biomedical Engineering › Muscle activation and electromyography studies
Keywords
brain-computer interface, event-related synchronization, event-related desynchronization, mu rhythm, motor imagery, sensorimotor cortex, cortical source localization
MeSH terms
Algorithms, Brain Mapping, Electroencephalography, Humans, Imagination, Male, Motor Cortex, Movement, Sensitivity and Specificity, User-Computer Interface, Reproducibility of Results, Evoked Potentials, Motor, Young Adult

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