Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Post-movement beta oscillations studied with linear estimation

M van Burik1, T Knösche, G Edlinger

  • 1Ludwig Boltzmann-Institute for Medical Informatics and Neuroinformatics, University of Technology, Graz, Austria. burik@dpmi.tu-graz.ac.at

Electroencephalography and Clinical Neurophysiology
|September 22, 1998
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

MRI-related anxiety can induce slow BOLD oscillations coupled with cardiac oscillations.

Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology·2021
Same author

Passive functional mapping guides electrical cortical stimulation for efficient determination of eloquent cortex in epilepsy patients.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2017
Same author

[Neurofeedback in the Treatment of Anorexia Nervosa: a Case Report].

Fortschritte der Neurologie-Psychiatrie·2016
Same author

Brain volumetry and self-regulation of brain activity relevant for neurofeedback.

Biological psychology·2015
Same author

Abstracts of Presentations at the International Conference on Basic and Clinical Multimodal Imaging (BaCI), a Joint Conference of the International Society for Neuroimaging in Psychiatry (ISNIP), the International Society for Functional Source Imaging (ISFSI), the International Society for Bioelectromagnetism (ISBEM), the International Society for Brain Electromagnetic Topography (ISBET), and the EEG and Clinical Neuroscience Society (ECNS), in Geneva, Switzerland, September 5-8, 2013.

Clinical EEG and neuroscience·2013
Same author

Robot Assisted Walking Affects the Synchrony Between Premotor and Somatosensory Areas.

Biomedizinische Technik. Biomedical engineering·2013
Same journal

Coming to terms with brain waves.

Electroencephalography and clinical neurophysiology·2014
Same journal

Habituation of lower leg stretch responses in Parkinson's disease.

Electroencephalography and clinical neurophysiology·2000
Same journal

Asymmetry of cortical excitability revealed by transcranial stimulation in a patient with focal motor epilepsy and cortical myoclonus.

Electroencephalography and clinical neurophysiology·2000
Same journal

Evoked isometric muscle contractions in myopathies: analysis of pathophysiological properties by different stimulus patterns.

Electroencephalography and clinical neurophysiology·2000
Same journal

Task-related coherence and task-related spectral power changes during sequential finger movements.

Electroencephalography and clinical neurophysiology·2000
Same journal

Electrophysiological studies in mild idiopathic carpal tunnel syndrome.

Electroencephalography and clinical neurophysiology·2000
See all related articles

This study applied surface Laplacian and linear estimation to electroencephalography (EEG) data. Both methods identified post-movement beta synchronization in the sensorimotor area following finger movements.

Area of Science:

  • Neuroscience
  • Biomedical Engineering
  • Signal Processing

Background:

  • Single trial electroencephalography (EEG) analysis presents challenges in spatial resolution and signal-to-noise ratio.
  • Accurate localization of neural activity is crucial for understanding brain function during motor tasks.
  • Event-related synchronization (ERS) in specific frequency bands, like beta, is a known neurophysiological phenomenon.

Purpose of the Study:

  • To evaluate the effectiveness of surface Laplacian and linear estimation techniques for analyzing single-trial EEG data.
  • To investigate the spatiotemporal characteristics of neural activity during self-paced index finger movements.
  • To identify and localize post-movement beta synchronization using advanced EEG analysis methods.

Main Methods:

Related Experiment Videos

  • Electroencephalography (EEG) data were recorded from 3 subjects performing voluntary, self-paced index finger extensions and flexions.
  • Surface Laplacian (SL) estimates were computed using spherical splines for enhanced spatial filtering.
  • Cortical current distributions were reconstructed using linear estimation (LE) methods to infer source activity.
  • Analysis focused on identifying event-related synchronization (ERS) in specific frequency bands.

    • Main Results:

    • Both surface Laplacian and linear estimation methods revealed consistent post-movement beta synchronization.
    • Maximal event-related synchronization was localized over the left sensorimotor cortex.
    • The observed synchronization occurred within a specific time window, approximately 500-750 ms after movement termination.
    • The findings suggest these methods can reliably detect and localize neural oscillatory activity.

    Conclusions:

    • Surface Laplacian and linear estimation are effective methods for analyzing single-trial EEG data, particularly for motor-related tasks.
    • These techniques successfully identified and localized post-movement beta synchronization in the sensorimotor cortex.
    • The study validates the utility of these advanced signal processing methods for neurophysiological research and brain-computer interfaces.