Visualization of spatiotemporal patterns of EEG rhythms during voluntary movements

Ou Bai; Guido Nolte; Mari Zoltan; Sherry Vorbach; Mark Hallett

Visualization of spatiotemporal patterns of EEG rhythms during voluntary movements

Ou Bai, Guido Nolte, Mari Zoltan, Sherry Vorbach, Mark Hallett

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

The power change of electroencephalographic (EEG) rhythms is an indicator to investigate neuronal activation underlying EEG electrodes. We developed a software routine for analysis and visualization of spatiotemporal patterns of EEG oscillations: event-related desynchronization (ERD) and event-related synchronization (ERS). Further, the spatiotemporal representation of task-related coherence (TRC) was also proposed for investigation of interregional neuronal connectivity. As concurrent artifacts and volume conduction effect may result incorrect or spatially blurred estimation of EEG features, we have embedded data preprocessing functions to reduce these effects including: correcting eye movement-related artifact, changing reference methods and spatial filtering undesirable neuronal activity. These functions were subsequently applied to study EEG time-frequency patterns during self-paced movements in normal volunteers.

Original language	English (US)
Title of host publication	Proceedings of the IEEE Symposium on Computer-Based Medical Systems
Editors	R. Long, S. Antani, D.J. Lee, B. Nutter, M. Zhang
Pages	267-272
Number of pages	6
Volume	17
State	Published - 2004
Externally published	Yes
Event	Proceedings 17th IEEE Symposium on Computer-Based Medical Systems, CBMS 2004 - Bethesda, MD, United States Duration: Jun 24 2004 → Jun 25 2004

Other

Other	Proceedings 17th IEEE Symposium on Computer-Based Medical Systems, CBMS 2004
Country/Territory	United States
City	Bethesda, MD
Period	6/24/04 → 6/25/04

ASJC Scopus subject areas

Software

Cite this

Bai, O, Nolte, G, Zoltan, M, Vorbach, S & Hallett, M 2004, Visualization of spatiotemporal patterns of EEG rhythms during voluntary movements. in R Long, S Antani, DJ Lee, B Nutter & M Zhang (eds), Proceedings of the IEEE Symposium on Computer-Based Medical Systems. vol. 17, pp. 267-272, Proceedings 17th IEEE Symposium on Computer-Based Medical Systems, CBMS 2004, Bethesda, MD, United States, 6/24/04.

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abstract = "The power change of electroencephalographic (EEG) rhythms is an indicator to investigate neuronal activation underlying EEG electrodes. We developed a software routine for analysis and visualization of spatiotemporal patterns of EEG oscillations: event-related desynchronization (ERD) and event-related synchronization (ERS). Further, the spatiotemporal representation of task-related coherence (TRC) was also proposed for investigation of interregional neuronal connectivity. As concurrent artifacts and volume conduction effect may result incorrect or spatially blurred estimation of EEG features, we have embedded data preprocessing functions to reduce these effects including: correcting eye movement-related artifact, changing reference methods and spatial filtering undesirable neuronal activity. These functions were subsequently applied to study EEG time-frequency patterns during self-paced movements in normal volunteers.",

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year = "2004",

language = "English (US)",

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editor = "R. Long and S. Antani and D.J. Lee and B. Nutter and M. Zhang",

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note = "Proceedings 17th IEEE Symposium on Computer-Based Medical Systems, CBMS 2004 ; Conference date: 24-06-2004 Through 25-06-2004",

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AU - Bai, Ou

AU - Nolte, Guido

AU - Zoltan, Mari

AU - Vorbach, Sherry

AU - Hallett, Mark

PY - 2004

Y1 - 2004

N2 - The power change of electroencephalographic (EEG) rhythms is an indicator to investigate neuronal activation underlying EEG electrodes. We developed a software routine for analysis and visualization of spatiotemporal patterns of EEG oscillations: event-related desynchronization (ERD) and event-related synchronization (ERS). Further, the spatiotemporal representation of task-related coherence (TRC) was also proposed for investigation of interregional neuronal connectivity. As concurrent artifacts and volume conduction effect may result incorrect or spatially blurred estimation of EEG features, we have embedded data preprocessing functions to reduce these effects including: correcting eye movement-related artifact, changing reference methods and spatial filtering undesirable neuronal activity. These functions were subsequently applied to study EEG time-frequency patterns during self-paced movements in normal volunteers.

AB - The power change of electroencephalographic (EEG) rhythms is an indicator to investigate neuronal activation underlying EEG electrodes. We developed a software routine for analysis and visualization of spatiotemporal patterns of EEG oscillations: event-related desynchronization (ERD) and event-related synchronization (ERS). Further, the spatiotemporal representation of task-related coherence (TRC) was also proposed for investigation of interregional neuronal connectivity. As concurrent artifacts and volume conduction effect may result incorrect or spatially blurred estimation of EEG features, we have embedded data preprocessing functions to reduce these effects including: correcting eye movement-related artifact, changing reference methods and spatial filtering undesirable neuronal activity. These functions were subsequently applied to study EEG time-frequency patterns during self-paced movements in normal volunteers.

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M3 - Conference contribution

AN - SCOPUS:4544268442

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BT - Proceedings of the IEEE Symposium on Computer-Based Medical Systems

A2 - Long, R.

A2 - Antani, S.

A2 - Lee, D.J.

A2 - Nutter, B.

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T2 - Proceedings 17th IEEE Symposium on Computer-Based Medical Systems, CBMS 2004

Y2 - 24 June 2004 through 25 June 2004

ER -

Visualization of spatiotemporal patterns of EEG rhythms during voluntary movements

Abstract

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ASJC Scopus subject areas

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