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

Econometric Views (EViews)

Econometric Views (EViews)

Econometric Views, often stylized as EViews, is a package that merges statistical analysis with econometric studies. It is designed to provide tools for time series analysis, forecasting, and econometric model simulation. The software originated from MicroTSP software and has evolved significantly since its inception in 1981. The history of EViews is marked by a continuous effort to enhance its computational speed and user interface. It was initially developed for large computing systems but...

Overview of Minitab

Overview of Minitab

Minitab is a statistical software package designed for data analysis. With its origins in the 1970s and development at Pennsylvania State University, Minitab has grown significantly in its capabilities and applications. It plays a crucial role in quality management projects, especially in Six Sigma initiatives, by offering tools for process improvement and statistical analysis. Minitab's significance lies in its user-friendly interface, making complex statistical analysis accessible to users...

Methods to Assess Microbial Communities

Methods to Assess Microbial Communities

Microbial communities, comprising bacteria, archaea, and eukaryotic microorganisms, inhabit diverse ecosystems and play crucial roles in environmental and biological processes. Their diversity is defined by three main parameters: species richness (the number of distinct species), species abundance (the relative quantity of each species), and species evenness (how uniformly individual species are distributed in various locations). These factors together shape the structure and ecological balance...

You might also read

Related Articles

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

Sort by

Same author

Diagnostic Costs of Metastatic and Unknown Primary Cancers in Alberta, Canada, 2017-2021.

Cancer investigation·2025

Same author

Sex differences in Achilles tendon behaviour during walking.

Journal of biomechanics·2025

Same author

Comparative analysis of neural crest development in the chick and mouse.

Developmental biology·2024

Same author

How individuals with psychosis develop and maintain resilience to suicidal experiences through psychological therapy: a qualitative study.

BMC psychiatry·2024

Same author

Comparative Analysis of Neural Crest Development in the Chick and Mouse.

bioRxiv : the preprint server for biology·2024

Same author

Device-based 24-hour movement behaviours in adult phase III cardiac rehabilitation service-users during the COVID-19 pandemic: a mixed-methods prospective observational study.

Disability and rehabilitation·2024

Search research articles

Related Experiment Video

Updated: May 27, 2026

A Virtual Simulation Experiment of Mechanics: Material Deformation and Failure Based on Scanning Electron Microscopy

A Virtual Simulation Experiment of Mechanics: Material Deformation and Failure Based on Scanning Electron Microscopy

Published on: January 20, 2023

MEG-SIM: a web portal for testing MEG analysis methods using realistic simulated and empirical data.

C J Aine¹, L Sanfratello, D Ranken

¹Department of Radiology, MSC10 5530, University of New Mexico School of Medicine, Albuquerque, NM 87131, USA. aine@unm.edu

Neuroinformatics

|November 10, 2011

Summary

Magnetoencephalography (MEG) and electroencephalography (EEG) offer high temporal resolution brain activity analysis. A new website provides simulated data to standardize and compare various MEG/EEG inverse problem analysis methods.

More Related Videos

Untargeted Metabolomics from Biological Sources Using Ultraperformance Liquid Chromatography-High Resolution Mass Spectrometry (UPLC-HRMS)

Untargeted Metabolomics from Biological Sources Using Ultraperformance Liquid Chromatography-High Resolution Mass Spectrometry (UPLC-HRMS)

Published on: May 20, 2013

Scalable Nanohelices for Predictive Studies and Enhanced 3D Visualization

Scalable Nanohelices for Predictive Studies and Enhanced 3D Visualization

Published on: November 12, 2014

Related Experiment Videos

Last Updated: May 27, 2026

A Virtual Simulation Experiment of Mechanics: Material Deformation and Failure Based on Scanning Electron Microscopy

A Virtual Simulation Experiment of Mechanics: Material Deformation and Failure Based on Scanning Electron Microscopy

Published on: January 20, 2023

Untargeted Metabolomics from Biological Sources Using Ultraperformance Liquid Chromatography-High Resolution Mass Spectrometry (UPLC-HRMS)

Untargeted Metabolomics from Biological Sources Using Ultraperformance Liquid Chromatography-High Resolution Mass Spectrometry (UPLC-HRMS)

Published on: May 20, 2013

Scalable Nanohelices for Predictive Studies and Enhanced 3D Visualization

Scalable Nanohelices for Predictive Studies and Enhanced 3D Visualization

Published on: November 12, 2014

Area of Science:

Neuroscience
Biophysics
Computational Neuroscience

Background:

Magnetoencephalography (MEG) and electroencephalography (EEG) provide superior temporal resolution for brain activity compared to hemodynamic methods like fMRI and PET.
The complementary strengths of electrophysiological and hemodynamic techniques are increasingly recognized in neuroimaging.
Analysis methods for MEG/EEG inverse problems lack standardization and comprehensive comparison, hindering objective evaluation of their respective strengths and weaknesses.

Purpose of the Study:

To address the lack of standardized comparison for MEG/EEG inverse problem analysis techniques.
To introduce a comprehensive testbed with realistic simulated data for evaluating these methods.
To facilitate the quantitative assessment and comparison of different MEG/EEG analysis approaches.

Main Methods:

Development of a website (http://cobre.mrn.org/megsim/) hosting realistic simulated electrophysiological brain activity data.
Presentation of an overview of fundamental inverse problem procedures for MEG/EEG.
Inclusion of specific test cases focusing on functional connectivity, such as oscillatory activity.

Main Results:

Establishment of a standardized platform for testing and comparing MEG/EEG analysis techniques.
Provision of a valuable resource for researchers investigating brain connectivity using methods like Independent Component Analysis (ICA) and Granger Causality.
Demonstration of the utility of simulated data for evaluating the performance of various analytical approaches.

Conclusions:

The created testbed enables rigorous comparison and standardization of MEG/EEG inverse problem solutions.
This resource will aid in quantifying the performance of different analysis methods, leading to more reliable neurophysiological findings.
The platform supports diverse analytical techniques, including those for functional connectivity and single-trial analysis, advancing brain research.