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

Brain Waves01:23

Brain Waves

1.1K
Brain waves are electrical signals generated by the neurons in the brain, which are regularly monitored to measure mental activities. Brain waves and their frequency ranges can be measured using an electroencephalogram or EEG. There are four main types of brain waves, each with distinct characteristics:
1.1K

You might also read

Related Articles

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

Sort by
Same author

Brain-Inspired Large Model Mindreading.

NeuroImage·2026
Same author

An Efficient and Scalable Approach to Functionalized Urea via Bench-Stable Amidine Building Blocks.

The Journal of organic chemistry·2026
Same author

Zanubrutinib combined with R-CHOP in previously untreated diffuse large B-cell lymphoma with specific gene alteration: a phase II study.

Blood cancer journal·2026
Same author

Neural oscillations underlying the impact of the road environment on hazard perception.

Scientific reports·2026
Same author

Interpretable scRNA-seq Analysis with Intelligent Gene Selection.

Applied biochemistry and biotechnology·2026
Same author

Discovery of selenium-containing amino acid derivatives as novel ENL YEATS domain inhibitors via AlphaScreen-based high throughput screening.

Bioorganic chemistry·2026

Related Experiment Video

Updated: Jun 11, 2025

Reliable Acquisition of Electroencephalography Data during Simultaneous Electroencephalography and Functional MRI
11:00

Reliable Acquisition of Electroencephalography Data during Simultaneous Electroencephalography and Functional MRI

Published on: March 19, 2021

4.4K

EEG β oscillations in aberrant data perception under cognitive load modulation.

Haihong Yu1,2, Wei Cao1, Tie Fang1

  • 1Maritime School, Ningbo University, Ningbo, China.

Scientific Reports
|October 3, 2024
PubMed
Summary
This summary is machine-generated.

Perception of aberrant data (PAD) involves specific brain activity in the upper beta band. Increased cognitive load shifts the timing of these neural oscillations, impacting how we identify errors in data-driven decision-making.

Keywords:
Aberrant data perceptionCognitive loadFrontal and parietal lobesHigh-frequency β oscillations

More Related Videos

EEG Mu Rhythm in Typical and Atypical Development
11:50

EEG Mu Rhythm in Typical and Atypical Development

Published on: April 9, 2014

25.7K
High Density Event-related Potential Data Acquisition in Cognitive Neuroscience
08:33

High Density Event-related Potential Data Acquisition in Cognitive Neuroscience

Published on: April 16, 2010

12.6K

Related Experiment Videos

Last Updated: Jun 11, 2025

Reliable Acquisition of Electroencephalography Data during Simultaneous Electroencephalography and Functional MRI
11:00

Reliable Acquisition of Electroencephalography Data during Simultaneous Electroencephalography and Functional MRI

Published on: March 19, 2021

4.4K
EEG Mu Rhythm in Typical and Atypical Development
11:50

EEG Mu Rhythm in Typical and Atypical Development

Published on: April 9, 2014

25.7K
High Density Event-related Potential Data Acquisition in Cognitive Neuroscience
08:33

High Density Event-related Potential Data Acquisition in Cognitive Neuroscience

Published on: April 16, 2010

12.6K

Area of Science:

  • Cognitive Neuroscience
  • Neuroimaging
  • Data Science

Background:

  • Data-driven decision making (DDDM) relies on accurate perception of aberrant data (PAD).
  • Neural mechanisms underlying PAD are not fully understood, with limited research on neural oscillations and cognitive load effects.
  • Existing research lacks direct evidence linking specific neural oscillations to PAD.

Purpose of the Study:

  • To investigate the neural processing mechanisms of PAD using electroencephalography (EEG).
  • To examine the role of upper beta band oscillations in identifying aberrant data.
  • To determine the impact of varying cognitive load on the neural correlates of PAD.

Main Methods:

  • Utilized EEG time-frequency analysis in a within-subject laboratory design with 21 healthy participants.
  • Manipulated cognitive load (low vs. high) and data perception (PAD+ vs. PAD-).
  • Analyzed neural oscillations in response to accurately identified aberrant data versus correctly identified normal data.

Main Results:

  • Significantly enhanced upper beta band oscillations (26-30 Hz) were observed during PAD+ compared to PAD-.
  • This enhanced activity was prominent in frontal and parietal lobes within a 300-350 ms time window.
  • Higher cognitive load led to an earlier shift in the timing of beta oscillations associated with PAD detection.

Conclusions:

  • This study provides direct evidence linking upper beta band neural oscillations to the perception of aberrant data.
  • Findings elucidate the neural basis of PAD, highlighting the influence of cognitive load on decision-making processes.
  • Results have implications for understanding neurodegenerative disorders and improving data analysis skills in various fields.