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

Beams with Unsymmetric Loadings01:17

Beams with Unsymmetric Loadings

499
Analyzing a supported beam under unsymmetrical loadings is essential in structural engineering to understand how beams respond to varied force distributions. This analysis involves calculating the deflection and identifying points where the slope of the beam is zero, which are crucial for ensuring structural stability and functionality.
The first moment-area theorem determines the slope at any point on the beam. This theorem indicates that the change in slope between two points on a beam...
499
Beams with Symmetric Loadings01:15

Beams with Symmetric Loadings

497
The moment-area method is an analytical tool used in structural engineering to determine the slope and deflection of beams under various loads. Consider a cantilever with a concentrated load and moment at the free end. The first step is constructing a free-body diagram to calculate the reactions at the fixed end. Next, the bending moment diagram is plotted to visualize how the bending moment varies along the beam's length, focusing on points where the bending moment equals zero.
The M/EI...
497
Weighted Mean00:57

Weighted Mean

7.5K
While taking the arithmetic, geometric, or harmonic mean of a sample data set, equal importance is assigned to all the data points. However, all the values may not always be equally important in some data sets. An intrinsic bias might make it more important to give more weightage to specific values over others.
For example, consider the number of goals scored in the matches of a tournament. While computing the average number of goals scored in the tournament, it may be more important to...
7.5K
Distribution of Stresses in a Narrow Rectangular Beam01:11

Distribution of Stresses in a Narrow Rectangular Beam

684
In studying beam stress distribution, examining an elemental section is essential. To determine the average shearing stress on this face, the calculated shear is divided by the surface area. Importantly, shearing stresses on the beam's transverse and horizontal planes mirror each other, indicating a consistent stress distribution along the upper region of the beam. Notably, shearing stresses are absent at the beam's upper and lower surfaces due to the absence of applied forces in these...
684
Prismatic Beams: Problem Solving01:15

Prismatic Beams: Problem Solving

539
In the design of a supported timber beam subjected to a distributed load, both the beam's physical dimensions and the timber's characteristics, such as its grade and species, are critical. These factors determine the allowable stress values, which are crucial for calculating the necessary beam depth to ensure structural integrity and safety.
The design begins with analyzing the beam as a free body to identify moments and force balances, thereby determining support reactions. Next, the...
539
Shear on the Horizontal Face of a Beam Element01:16

Shear on the Horizontal Face of a Beam Element

627
To understand shear on the flat side of a prismatic beam element, consider the vertical and horizontal shearing forces, and the normal forces, acting on the element. The element's upper (U) and lower (L) sections, which are divided by the beam's neutral axis, are examined. The equilibrium of these forces is determined by applying the equilibrium equation, which helps identify the horizontal shearing force. This force is directly related to the bending moments and the cross-section's...
627

You might also read

Related Articles

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

Sort by
Same author

Losing one's religion: relationships between autistic and schizotypal traits, religiosity, spirituality, and faith changes.

Frontiers in psychology·2026
Same author

Epigenetic age and neurodevelopmental outcomes in children born preterm.

Genetics in medicine open·2026
Same author

Maternal Perinatal Depressive Symptoms, Prenatal Maternal Selective Serotonin Reuptake Inhibitor Antidepressants, and Executive Functions in Children: A 12-Year Longitudinal Study.

Journal of developmental and behavioral pediatrics : JDBP·2025
Same author

Association of Early-Life or Term-Equivalent White Matter Injury With Neurodevelopmental Outcomes in Very Preterm Infants.

Neurology·2025
Same author

A Cross-Lagged Panel Analysis of Cortisol Levels and Internalizing Behaviors in Children Born Very Preterm Across Early Childhood: Associations Differ for Boys and Girls at Age 1.5 Years.

Developmental psychobiology·2025
Same author

Low-Grade Germinal Matrix Hemorrhage-Intraventricular Hemorrhage and Concomitant Preterm Brain Injuries: Neurodevelopmental Outcomes at 3 Years of Age.

The Journal of pediatrics·2025
Same journal

Investigating the Neural Origins of Ear-EEG: A Correlation Study Using Scalp EEG Source Reconstruction.

NeuroImage·2026
Same journal

Hysteresis effects in visual and auditory perception and the comparison of underlying neural mechanisms - an EEG study.

NeuroImage·2026
Same journal

Short-term audio-tactile training affects cortical auditory speech-envelope tracking for incongruent but not congruent stimuli.

NeuroImage·2026
Same journal

Dissociable Neurocognitive Mechanisms of State and Trait Anxiety in Working Memory: Threat-Induced Alterations in Decision Dynamics and Attenuation of Large-Scale Network Reconfiguration.

NeuroImage·2026
Same journal

Neuro-Ocular Amyloid Characterization in Alzheimer's Disease via Cross-Site PET-MRI and Hierarchical Cross-Attention Driven Multimodal Representation Learning.

NeuroImage·2026
Same journal

Whole-brain network dynamics underlying intolerance of uncertainty.

NeuroImage·2026
See all related articles

Related Experiment Video

Updated: Apr 7, 2026

The Generation of Higher-order Laguerre-Gauss Optical Beams for High-precision Interferometry
12:14

The Generation of Higher-order Laguerre-Gauss Optical Beams for High-precision Interferometry

Published on: August 12, 2013

22.6K

Minimum variance beamformer weights revisited.

Alexander Moiseev1, Sam M Doesburg2, Ruth E Grunau3

  • 1Behavioural and Cognitive Neuroscience Institute (BCNI), Vancouver, Canada.

Neuroimage
|July 6, 2015
PubMed
Summary
This summary is machine-generated.

Researchers found that using noise covariance instead of full field covariance in adaptive minimum variance beamformers improves the reconstruction of brain activity in MEG and EEG analysis. This method enhances signal-to-noise ratio and waveform accuracy.

Keywords:
Beamformer weightsElectroencephalographyInverse solutionsMagnetoencephalographyMinimum variance beamformersSpatial filters

More Related Videos

Spatial Separation of Molecular Conformers and Clusters
10:37

Spatial Separation of Molecular Conformers and Clusters

Published on: January 9, 2014

11.9K
Demonstration of Equal-Intensity Beam Generation by Dielectric Metasurfaces
09:33

Demonstration of Equal-Intensity Beam Generation by Dielectric Metasurfaces

Published on: June 7, 2019

6.8K

Related Experiment Videos

Last Updated: Apr 7, 2026

The Generation of Higher-order Laguerre-Gauss Optical Beams for High-precision Interferometry
12:14

The Generation of Higher-order Laguerre-Gauss Optical Beams for High-precision Interferometry

Published on: August 12, 2013

22.6K
Spatial Separation of Molecular Conformers and Clusters
10:37

Spatial Separation of Molecular Conformers and Clusters

Published on: January 9, 2014

11.9K
Demonstration of Equal-Intensity Beam Generation by Dielectric Metasurfaces
09:33

Demonstration of Equal-Intensity Beam Generation by Dielectric Metasurfaces

Published on: June 7, 2019

6.8K

Area of Science:

  • Neuroscience
  • Biophysics
  • Signal Processing

Background:

  • Adaptive minimum variance beamformers are standard tools for analyzing magnetoencephalography (MEG) and electroencephalography (EEG) data.
  • Source reconstruction in MEG/EEG typically involves source localization followed by filter weight calculation and time course reconstruction.

Purpose of the Study:

  • To investigate an alternative method for calculating beamformer weights to improve source time course reconstruction quality.
  • To analytically and empirically demonstrate the benefits of using noise covariance over full field covariance.

Main Methods:

  • Analytical derivation of beamformer weights using noise covariance.
  • Mathematical modeling and simulations.
  • Validation with real MEG/EEG data.

Main Results:

  • Alternative beamformer weights, derived from noise covariance, can accurately reconstruct source time courses when source localization is precise.
  • Using noise covariance mitigates the suppression of true sources caused by mismatches in traditional beamformer weights.
  • Alternative weights improve source-level signal-to-noise ratio (SNR), waveform accuracy, and inter-source correlation estimation.

Conclusions:

  • The alternative weighting strategy offers superior performance in source time course reconstruction compared to traditional methods.
  • This approach enhances the accuracy of MEG/EEG analyses without increasing computational cost.
  • The findings are particularly relevant for improving the analysis of spatially localized brain activity.