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

A parametric model for multichannel EEG spectra.

R D Pascual-Marqui1, P A Valdes-Sosa, A Alvarez-Amador

  • 1Neurosciences Branch, National Center for Scientific Research, Havana, Cuba.

The International Journal of Neuroscience
|May 1, 1988
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

Publisher Correction: Brain charts for the human lifespan.

Nature·2022
Same author

Brain charts for the human lifespan.

Nature·2022
Same author

The EEG microstate topography is predominantly determined by intracortical sources in the alpha band.

NeuroImage·2017
Same author

The functional significance of EEG microstates--Associations with modalities of thinking.

NeuroImage·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

[Spectral analysis of the electroencephalogram in subjects with mild cognitive impairment].

Revista de neurologia·2008
Same journal

Thoracic paravertebral nerve block combined with general anesthesia for patients undergoing minimally invasive vertebroplasty: effects on pain and lumbar function.

The International journal of neuroscience·2026
Same journal

Recurrence associated IGFBP2 promotes malignant progression and epithelial mesenchymal transition in glioma cells via the AKT mTOR pathway.

The International journal of neuroscience·2026
Same journal

Decreased miR-1305 expression is associated with tumour invasiveness and poor prognosis in glioma patients.

The International journal of neuroscience·2026
Same journal

Astaxanthin alleviates ischemia-reperfusion injury by regulating the JAK2/STAT3 signaling pathway.

The International journal of neuroscience·2026
Same journal

Clinical efficacy of cryopreserved autologous bone flaps versus titanium plates for cranioplasty: A retrospective comparative study.

The International journal of neuroscience·2026
Same journal

Sericin improves diabetic cognitive impairment in rats by inhibiting TXNIP/NLRP3 neuroinflammation through SIRT1.

The International journal of neuroscience·2026
See all related articles

This study models electroencephalography (EEG) using two processes: xi and alpha. Alpha processes show stronger functional coupling and distinct properties compared to the always-present xi process.

Area of Science:

  • Neuroscience
  • Signal Processing
  • Biophysics

Background:

  • Electroencephalography (EEG) is a key tool for studying brain activity.
  • Understanding the underlying processes within EEG signals is crucial for accurate interpretation.
  • Previous models may not fully capture the distinct characteristics of different EEG components.

Purpose of the Study:

  • To model the electroencephalography (EEG) signal as a superposition of two distinct component processes: xi and alpha.
  • To analyze the multivariate properties and functional coupling of these EEG processes in the frequency domain.
  • To differentiate the characteristics of the xi process (always present, low frequency) and the alpha process (7-13 Hz band, not always present).

Main Methods:

  • Modeling EEG as a superposition of xi and alpha processes.

Related Experiment Videos

  • Utilizing frequency-independent coherence matrices to represent multivariate EEG spectra.
  • Analyzing multichannel EEG data to compare the properties of xi and alpha coherences.

    • Main Results:

    • The alpha process exhibits significantly larger generalized coherence than the xi process, indicating increased functional coupling.
    • The alpha coherence matrix demonstrates reduced dimensionality, suggesting fewer underlying generators.
    • Xi coherences show zero phase and magnitudes that decay exponentially with interelectrode distance.
    • Alpha coherences are characterized by significant, non-zero phase shifts.

    Conclusions:

    • The study successfully models EEG using two distinct component processes, xi and alpha.
    • Multichannel EEG analysis reveals differential functional coupling and spatial properties between the alpha and xi processes.
    • The findings provide insights into the generators and network dynamics associated with different EEG frequency bands.