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

¹H NMR: Interpreting Distorted and Overlapping Signals01:02

¹H NMR: Interpreting Distorted and Overlapping Signals

Spin systems where the difference in chemical shifts of the coupled nuclei is greater than ten times J are called first-order spin systems. These nuclei are weakly coupled, and their chemical shifts and coupling constant can generally be estimated from the well-separated signals in the spectrum.
As Δν decreases and the signals move closer, the doublets appear increasingly distorted. The intensities of the inner lines increase at the cost of those of the outer lines as the signals are slanted or...
¹H NMR Signal Multiplicity: Splitting Patterns01:13

¹H NMR Signal Multiplicity: Splitting Patterns

When protons A and X are coupled, their nuclear spin energy levels are slightly modified. This is because the energy required to excite proton A to a spin state parallel to proton X is slightly different from the energy required for it to become anti-parallel to spin X. Consequently, there are two possible excitation frequencies for A (A1 and A2), depending on the spin state of X, and vice versa. The mutual nature of coupling implies that the difference between frequencies A1 and A2, indicated...
Mass Analyzers: Overview01:13

Mass Analyzers: Overview

The mass analyzer is a crucial component of the mass spectrometer. In the ionization chamber, the vaporized sample is bombarded with a high-energy electron beam to generate a radical cation and further fragment into neutral molecules, radicals, and cations. A series of negatively charged accelerator plates accelerate the cations into the mass analyzer. The mass analyzer separates ions according to their mass-to-charge (m/z) ratios and then directs them to the detector. The common types of mass...
Mass Analyzers: Common Types01:19

Mass Analyzers: Common Types

The quadrupole mass analyzer consists of four cylindrical metal rods arranged in a diamond carrying a DC voltage and a radio-frequency AC voltage. The motion of ions through the quadrupole depends on the field strength, causing only ions of a certain m/z to resonate successfully and strike the detector at a given field strength. Though the transmission rate for these analyzers is high, the exact elemental composition of the sample is not determined because of low resolution; however, they are...
Deconvolution01:20

Deconvolution

Deconvolution, also known as inverse filtering, is the process of extracting the impulse response from known input and output signals. This technique is vital in scenarios where the system's characteristics are unknown, and they must be inferred from the observable signals.
Deconvolution involves several mathematical techniques to derive the impulse response. One common approach is polynomial division. In this method, the input and output sequences are treated as coefficients of...
Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence of...

You might also read

Related Articles

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

Sort by
Same author

Structural-functional network decoupling in early stage amyotrophic lateral sclerosis reveals cell-type specific transcriptional signatures.

BMC medicine·2026
Same author

Metal-phenolic nanocapsules enable a self-amplifying cuproptosis-STING cascade for synergistic cancer immunotherapy.

Bioactive materials·2026
Same author

Environment-Driven Synthetic Baseline Analysis and Optimization in Joint Measurement OPM-MEG Arrays.

Bioengineering (Basel, Switzerland)·2026
Same author

Corrigendum to "Reduced skeletal muscle index during follow-up as a mortality risk factor in maintenance hemodialysis patients with end-stage renal disease". [Eur. J. Radiol. 200 (2026) 112857].

European journal of radiology·2026
Same author

Discovery of Jatrophane Diterpenoids as JAG1-Notch Signaling Inhibitors for the Treatment of Liver Fibrosis.

Journal of medicinal chemistry·2026
Same author

Quantitative susceptibility mapping reveals widespread brain iron abnormalities in sporadic patients with early-stage amyotrophic lateral sclerosis.

Brain communications·2026
Same journal

Correction: Komatsu et al. Three-Dimensional Visualization and Detection of the Pulmonary Venous-Left Atrium Connection Using Artificial Intelligence in Fetal Cardiac Ultrasound Screening. <i>Bioengineering</i> 2026, <i>13</i>, 100.

Bioengineering (Basel, Switzerland)·2026
Same journal

Comparison of CO<sub>2</sub> Laser and Microdebrider in the Surgical Treatment of Pediatric Recurrent Respiratory Papillomatosis: A Retrospective Analysis.

Bioengineering (Basel, Switzerland)·2026
Same journal

Toward More Translational Tumor Models: Breast dECM-Based 3D Systems Capture Native Microenvironmental Cues.

Bioengineering (Basel, Switzerland)·2026
Same journal

Postural Stability Changes During the 4 Phases of the Half Squat: Kinematics Profile of the Center of Pressure and Center of Mass in High-Performance Weightlifters-A Pilot Study.

Bioengineering (Basel, Switzerland)·2026
Same journal

Definite Implant Position as Novel Readout for Effectiveness of Ridge Preservation Indicates to Beneficial Effect of Combined Treatment with Platelet-Rich Fibrin (PRF) and Xenogenic Biomaterial in Bone Regeneration.

Bioengineering (Basel, Switzerland)·2026
Same journal

Trueness and Precision of Intraoral Scanners for 3D-Printed Orthodontic Models with Attachments: An In Vitro Comparative Study.

Bioengineering (Basel, Switzerland)·2026
See all related articles

Related Experiment Video

Updated: Jun 26, 2026

Cross-Modal Multivariate Pattern Analysis
13:51

Cross-Modal Multivariate Pattern Analysis

Published on: November 9, 2011

19.9K

Decoding N400m Evoked Component: A Tutorial on Multivariate Pattern Analysis for OP-MEG Data.

Huanqi Wu1,2, Ruonan Wang1,2, Yuyu Ma1,2

  • 1Key Laboratory of Ultra-Weak Magnetic Field Measurement Technology, Ministry of Education, School of Instrumentation and Optoelectronic Engineering, Beihang University, 37 Xueyuan Rd., Haidian Dist., Beijing 100083, China.

Bioengineering (Basel, Switzerland)
|June 27, 2024
PubMed
Summary
This summary is machine-generated.

Decoding brain activity with wearable optically pumped magnetometer-based magnetoencephalography (OP-MEG) is influenced by data processing choices. Key factors affecting performance include trial averaging, dimensionality reduction, and cross-validation, guiding future neuroscience research.

Keywords:
MIMVPAOP-MEGdecoding pipelinemodality fusion

More Related Videos

Stimulus-specific Cortical Visual Evoked Potential Morphological Patterns
09:42

Stimulus-specific Cortical Visual Evoked Potential Morphological Patterns

Published on: May 12, 2019

6.0K
Detecting Pre-Stimulus Source-Level Effects on Object Perception with Magnetoencephalography
09:25

Detecting Pre-Stimulus Source-Level Effects on Object Perception with Magnetoencephalography

Published on: July 26, 2019

6.9K

Related Experiment Videos

Last Updated: Jun 26, 2026

Cross-Modal Multivariate Pattern Analysis
13:51

Cross-Modal Multivariate Pattern Analysis

Published on: November 9, 2011

19.9K
Stimulus-specific Cortical Visual Evoked Potential Morphological Patterns
09:42

Stimulus-specific Cortical Visual Evoked Potential Morphological Patterns

Published on: May 12, 2019

6.0K
Detecting Pre-Stimulus Source-Level Effects on Object Perception with Magnetoencephalography
09:25

Detecting Pre-Stimulus Source-Level Effects on Object Perception with Magnetoencephalography

Published on: July 26, 2019

6.9K

Area of Science:

  • Neuroscience
  • Biomagnetism
  • Cognitive Science

Background:

  • Multivariate pattern analysis (MVPA) is crucial for interpreting brain activity across modalities like fMRI, MEG, and EEG.
  • Wearable optically pumped magnetometer-based magnetoencephalography (OP-MEG) offers new possibilities but presents temporal decoding challenges.
  • The effectiveness of multimodal fusion (e.g., MEG-EEG) for decoding remains under investigation.

Purpose of the Study:

  • To investigate the impact of processing methods, models, and modalities on OP-MEG decoding outcomes.
  • To evaluate the influence of factors like trial averaging, dimensionality reduction, and cross-validation on decoding performance.
  • To explore information loss during OP-MEG data processing using mutual information (MI).

Main Methods:

  • Analysis of multivariate pattern analysis (MVPA) applied to OP-MEG data.
  • Systematic investigation of various processing parameters including trial averaging, dimensionality reduction (DR) techniques, and cross-validation folds.
  • Utilizing mutual information (MI) to quantify information loss in OP-MEG data processing.

Main Results:

  • Decoding performance of OP-MEG data is significantly affected by the number of averaged trials, dimensionality reduction methods, and cross-validation folds.
  • Decoding outcomes differ based on the modality used and the fusion strategy employed.
  • Decoder type, resampling frequency, and sliding window length had minimal impact on decoding accuracy.

Conclusions:

  • Processing choices critically influence linear decoding performance with OP-MEG data.
  • Understanding these factors is essential for optimizing OP-MEG applications in cognitive neuroscience.
  • This study provides valuable insights for advancing OP-MEG-based linear decoding research.