Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

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

Beta burst dynamics in the motor cortex are reshaped through sensorimotor refinement.

Imaging neuroscience (Cambridge, Mass.)·2026

Same author

Comparative efficacy of zinc oxide nanoparticles, MSC-derived microvesicles, and platelet-rich fibrin in rabbit tendon regeneration.

Scientific reports·2026

Same author

Impact of nano-selenium supplementation on in vitro gas production, methane mitigation, and in vivo performance of Ossimi Egyptian Sheep.

Tropical animal health and production·2026

Same author

From horticultural waste to feed: Circular economy potential of cucumber-straw silage in Mediterranean lamb production through integrated in vitro, in vivo, and life cycle assessment.

The Science of the total environment·2026

Same author

Tracking Neural Activity Underlying Postural Control Dysfunction in a VR-Induced System: Demonstration Using BioVRSea.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society·2026

Same author

Neurophysiological Resting-State Markers of Catatonia in Schizophrenia and Mood Disorders.

Schizophrenia bulletin·2026

Same journal

Invaders taking over-Mollusc faunal change in volcanic barrier lakes of the Albertine Rift biodiversity hotspot.

PloS one·2026

Same journal

AI-driven molecular diversification and ligand-based optimization of macitentan derivatives targeting VEGFR1 and endothelin signaling pathways.

PloS one·2026

Same journal

Performance patterns and records in the world aquatics masters championships: Where do the most frequently represented nations among the top-ten masters swimmers come from?

PloS one·2026

Same journal

Modeling diurnal Temperature-Rainfall relationships under multicollinearity using PLS-SEM: A case study of Ghana.

PloS one·2026

Same journal

Organizational culture, social capital, and emergency capacity in primary healthcare institutions: A cross-sectional structural equation modeling study comparing ordinary and older communities.

PloS one·2026

Same journal

Impact of kidney function on the metabolome in the general population.

PloS one·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Apr 25, 2026

High-density Electroencephalographic Acquisition in a Rodent Model Using Low-cost and Open-source Resources

High-density Electroencephalographic Acquisition in a Rodent Model Using Low-cost and Open-source Resources

Published on: November 26, 2016

EEG source connectivity analysis: from dense array recordings to brain networks.

Mahmoud Hassan¹, Olivier Dufor², Isabelle Merlet¹

¹INSERM, U642, Rennes, France; Université de Rennes 1, LTSI, Rennes, France.

|August 14, 2014

Summary

This summary is machine-generated.

Optimizing electroencephalography (EEG) analysis for brain networks requires careful consideration of electrode number, inverse problem/connectivity methods, and frequency bands. High-Resolution EEG with weighted Minimum Norm Estimator and Phase Synchronization in beta/gamma bands shows best performance.

More Related Videos

Concurrent EEG and Functional MRI Recording and Integration Analysis for Dynamic Cortical Activity Imaging

Concurrent EEG and Functional MRI Recording and Integration Analysis for Dynamic Cortical Activity Imaging

Published on: June 30, 2018

Author Spotlight: Advancing Large-Scale Neural Dynamics Through HD-MEA Technology

Author Spotlight: Advancing Large-Scale Neural Dynamics Through HD-MEA Technology

Published on: March 8, 2024

Related Experiment Videos

Last Updated: Apr 25, 2026

High-density Electroencephalographic Acquisition in a Rodent Model Using Low-cost and Open-source Resources

High-density Electroencephalographic Acquisition in a Rodent Model Using Low-cost and Open-source Resources

Published on: November 26, 2016

Concurrent EEG and Functional MRI Recording and Integration Analysis for Dynamic Cortical Activity Imaging

Concurrent EEG and Functional MRI Recording and Integration Analysis for Dynamic Cortical Activity Imaging

Published on: June 30, 2018

Author Spotlight: Advancing Large-Scale Neural Dynamics Through HD-MEA Technology

Author Spotlight: Advancing Large-Scale Neural Dynamics Through HD-MEA Technology

Published on: March 8, 2024

Area of Science:

Neuroscience
Signal Processing
Cognitive Science

Background:

Electroencephalography (EEG) is increasingly used to analyze functional brain connectivity from scalp signals.
Methodological challenges remain in optimizing EEG data processing for accurate brain network identification.

Purpose of the Study:

To investigate the impact of electrode number, inverse problem/connectivity algorithm combinations, and frequency bands on EEG-based brain network analysis.
To identify optimal processing strategies for reconstructing neocortical functional connectivity.

Main Methods:

Utilized High-Resolution (hr) EEG recordings in healthy volunteers during a picture recognition and naming task.
Evaluated the influence of electrode density, weighted Minimum Norm Estimator (wMNE) combined with Phase Synchronization (PS), and specific frequency bands (beta/gamma).
Developed a performance criterion based on identified connections within regions of interest (ROIs) corresponding to known brain networks.

Main Results:

All three factors (electrode number, method combinations, frequency bands) significantly impact the accuracy of identified brain networks.
Strong discrepancies were observed based on the chosen processing methods.
The combination of wMNE and PS in beta/gamma bands on hrEEG demonstrated superior performance.

Conclusions:

The choice of processing parameters critically influences the outcome of EEG-based functional connectivity analysis.
Weighted Minimum Norm Estimator (wMNE) and Phase Synchronization (PS) in beta/gamma bands offer a robust approach for identifying brain networks using High-Resolution EEG.