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 Concept Videos

Empirical Method to Interpret Standard Deviation01:09

Empirical Method to Interpret Standard Deviation

10.2K
The empirical rule, also known as the three-sigma rule, allows a statistician to interpret the standard deviation in a normally distributed dataset. The rule states that 68% of the data lies within one standard deviation from the mean, 95% lies within two standard deviations from the mean, and 99.7% lies within three standard deviations from the mean. Additionally, this rule is also called the 68-95-99.7 rule.
This rule is used widely in statistics to calculate the proportion of data values...
10.2K
Sources of Self-Esteem III: Social Comparison01:27

Sources of Self-Esteem III: Social Comparison

271
Social comparison plays a fundamental role in the evaluation of personal success and self-worth. Rather than assessing our achievements in isolation, we interpret their significance relative to personal goals and critically in comparison to the performance of others. A grade of B in a mathematics exam might elicit pride if one's expectation was a C, yet result in disappointment if an A was anticipated or if peers achieved superior results. These comparative evaluations illustrate how both...
271
The Sense of Self: Reflected Self-Appraisal and Social Comparison02:57

The Sense of Self: Reflected Self-Appraisal and Social Comparison

56.1K
According to Charles Cooley, we base our image on what we think other people see (Cooley 1902). We imagine how we must appear to others, then react to this speculation. We don certain clothes, prepare our hair in a particular manner, wear makeup, use cologne, and the like—all with the notion that our presentation of ourselves is going to affect how others perceive us. We expect a certain reaction, and, if lucky, we get the one we desire and feel good about it. But more than that, Cooley...
56.1K
Power Distribution in Three-phase and Single Phase Circuits01:17

Power Distribution in Three-phase and Single Phase Circuits

650
Power distribution within electrical circuits is a foundational aspect of residential and industrial energy systems. While single-phase power is common in residential settings, three-phase power is the standard for industrial environments with heavy machinery. Each system is different and has advantages, and it's crucial to understand the underlying principles of power distribution and material efficiency.
Single-Phase Power Distribution:
Single-phase circuits are typical in household settings;...
650
Methods of Documentation I: Source-Oriented Records01:18

Methods of Documentation I: Source-Oriented Records

1.7K
Source-oriented records, or SOR, are medical record-keeping organized by the data source. The SOR system was first developed in the mid-1900s to organize the growing patient data in hospitals and other healthcare facilities.
In an SOR, each discipline involved in patient care maintains a separate medical record section. This record-keeping method enables easy tracking of patient progress and ensures healthcare staff have access to up-to-date information.
Key Attributes include the following:
1.7K
Renal Drug Clearance: Comparison Between Renal Excretion Methods01:08

Renal Drug Clearance: Comparison Between Renal Excretion Methods

618
Renal clearance is a critical parameter encompassing kidney filtration, secretion, and reabsorption processes. It is calculated using a specific equation to determine the rate at which the kidneys clear a drug.
Renal clearance is often associated with the renal glomerular filtration rate (GFR), which represents the rate at which plasma is filtered through the glomeruli in the kidney. When drug reabsorption is minimal and there is no active secretion, renal clearance is closely related to the...
618

You might also read

Related Articles

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

Sort by
Same author

Bayesian uncertainty quantification to identify population level vaccine hesitancy behaviours.

PloS one·2026
Same author

Editorial: AI taking actions in the physical world - Strategies for establishing trust and reliability.

Frontiers in neurorobotics·2023
Same author

Multi-Tasking and Choice of Training Data Influencing Parietal ERP Expression and Single-Trial Detection-Relevance for Neuroscience and Clinical Applications.

Frontiers in neuroscience·2018
Same author

Classifier transfer with data selection strategies for online support vector machine classification with class imbalance.

Journal of neural engineering·2017
Same author

An Intelligent Man-Machine Interface-Multi-Robot Control Adapted for Task Engagement Based on Single-Trial Detectability of P300.

Frontiers in human neuroscience·2016
Same author

An Adaptive Spatial Filter for User-Independent Single Trial Detection of Event-Related Potentials.

IEEE transactions on bio-medical engineering·2015

Related Experiment Video

Updated: Feb 5, 2026

Electroantennography-based Bio-hybrid Odor-detecting Drone using Silkmoth Antennae for Odor Source Localization
06:00

Electroantennography-based Bio-hybrid Odor-detecting Drone using Silkmoth Antennae for Odor Source Localization

Published on: August 27, 2021

6.1K

Empirical Comparison of Distributed Source Localization Methods for Single-Trial Detection of Movement Preparation.

Anett Seeland1, Mario M Krell2,3,4, Sirko Straube1

  • 1Robotics Innovation Center, German Research Center for Artificial Intelligence (DFKI GmbH), Bremen, Germany.

Frontiers in Human Neuroscience
|September 21, 2018
PubMed
Summary

We compared three source localization methods (SLMs) for brain-computer interfaces (BCIs) in movement disorder treatment. While all methods performed similarly in predicting movements, wMNE showed better physiological accuracy using a novel cluster-based distance metric.

Keywords:
EEGMRCPbrain-computer interfaceinverse problemmovement detectionsource imaging

More Related Videos

How to Detect Amygdala Activity with Magnetoencephalography using Source Imaging
10:48

How to Detect Amygdala Activity with Magnetoencephalography using Source Imaging

Published on: June 3, 2013

22.8K
Sound Source Localization Testing in Single-sided Deafness Following Bone Conduction Intervention
04:32

Sound Source Localization Testing in Single-sided Deafness Following Bone Conduction Intervention

Published on: December 20, 2024

888

Related Experiment Videos

Last Updated: Feb 5, 2026

Electroantennography-based Bio-hybrid Odor-detecting Drone using Silkmoth Antennae for Odor Source Localization
06:00

Electroantennography-based Bio-hybrid Odor-detecting Drone using Silkmoth Antennae for Odor Source Localization

Published on: August 27, 2021

6.1K
How to Detect Amygdala Activity with Magnetoencephalography using Source Imaging
10:48

How to Detect Amygdala Activity with Magnetoencephalography using Source Imaging

Published on: June 3, 2013

22.8K
Sound Source Localization Testing in Single-sided Deafness Following Bone Conduction Intervention
04:32

Sound Source Localization Testing in Single-sided Deafness Following Bone Conduction Intervention

Published on: December 20, 2024

888

Area of Science:

  • Neuroscience and Biomedical Engineering
  • Brain-Computer Interface (BCI) research
  • Signal Processing for neurological applications

Background:

  • Brain-computer interfaces (BCIs) are crucial for developing treatments for movement disorders like stroke.
  • Source localization methods (SLMs) reconstruct brain activity origins from external measurements (e.g., EEG), offering insights into treatment progress.
  • Current BCI research often evaluates SLMs based solely on classification performance, potentially overlooking physiological meaningfulness.

Purpose of the Study:

  • To empirically compare three distributed SLMs: wMNE, sLORETA, and dSPM.
  • To evaluate SLMs for single-trial movement prediction in the context of rehabilitation.
  • To assess both classification performance and physiological plausibility using a novel cluster-based distance metric.

Main Methods:

  • Applied three distributed SLMs (wMNE, sLORETA, dSPM) to EEG data from eight subjects performing voluntary arm movements.
  • Evaluated methods using classification performance for movement prediction.
  • Introduced and utilized a cluster-based distance metric to assess physiological plausibility, comparing it with the traditional maximum-based metric.

Main Results:

  • Classification performance showed no significant differences across the three SLMs, indicating suitability for single-trial movement prediction.
  • The distance metric revealed significant differences, with wMNE demonstrating superior physiological plausibility, even after accounting for cluster count.
  • Results highlighted inconsistencies between maximum-based and cluster-based distance metrics, suggesting that peak activity may not always align with the true source cluster for wMNE.

Conclusions:

  • The choice of SLM can impact the physiological interpretation of brain activity, even when classification performance is comparable.
  • The proposed cluster-based distance metric offers a more robust evaluation of physiological plausibility for distributed SLMs in single-trial BCI applications.
  • This comparison provides valuable guidance for researchers selecting SLMs and understanding their implications in BCI-driven movement disorder treatments.