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

You might also read

Related Articles

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

Sort by
Same author

Skin-adverse drug reactions in the elderly: An underestimated and avoidable issue.

Annales de dermatologie et de venereologie·2025
Same author

Mammary and extramammary diffuse dermal angiomatosis: a case series and review of the literature.

Annales de dermatologie et de venereologie·2025
Same author

Comparative Analysis of Data Augmentation Approaches for Blood Pressure Prediction.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same author

Predictive Modeling of Blood Pressure Progression.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same author

Multidrug resistance assessment of indoor air in Portuguese long-term and acute healthcare settings.

The Journal of hospital infection·2025
Same author

High out-of-season fertility in progesterone-treated goats joined with sexually active bucks and artificially inseminated with fresh diluted semen.

Theriogenology·2025
Same journal

Analysis of End-Tidal CO2 Variability During Plateau Waves Episodes: An Information Theoretic Approach<sup></sup>.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

AI and Tomosynthesis for Breast Cancer Molecular Subtyping: A step toward precision medicine<sup></sup>.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

Towards Sustainable Protein Recovery from Biological Waste: Assessing Polyethersulfone-based Microfiltration.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

Analysis of the cardiovascular response to standardized polymicrobial peritonitis experimental model.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

Automated Wrist Ultrasound Image Bone Enhancement and Segmentation Using Deep Learning.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

A Deep Learning approach for Depressive Symptoms assessment in Parkinson's disease patients using facial videos.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
See all related articles

Related Experiment Video

Updated: Dec 30, 2025

Microstate and Omega Complexity Analyses of the Resting-state Electroencephalography
06:40

Microstate and Omega Complexity Analyses of the Resting-state Electroencephalography

Published on: June 15, 2018

10.6K

Software code complexity assessment using EEG features.

J Medeiros, C Teixeira, R Couceiro

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |January 18, 2020
    PubMed
    Summary
    This summary is machine-generated.

    Electroencephalography (EEG) reveals brain activity during code comprehension. Gamma activity in the right parietal region indicates mental effort saturation, suggesting current code complexity metrics may not accurately reflect cognitive load.

    More Related Videos

    Applications of EEG Neuroimaging Data: Event-related Potentials, Spectral Power, and Multiscale Entropy
    11:15

    Applications of EEG Neuroimaging Data: Event-related Potentials, Spectral Power, and Multiscale Entropy

    Published on: June 27, 2013

    34.3K
    Utilizing Electroencephalography Measurements for Comparison of Task-Specific Neural Efficiencies: Spatial Intelligence Tasks
    06:57

    Utilizing Electroencephalography Measurements for Comparison of Task-Specific Neural Efficiencies: Spatial Intelligence Tasks

    Published on: August 9, 2016

    11.8K

    Related Experiment Videos

    Last Updated: Dec 30, 2025

    Microstate and Omega Complexity Analyses of the Resting-state Electroencephalography
    06:40

    Microstate and Omega Complexity Analyses of the Resting-state Electroencephalography

    Published on: June 15, 2018

    10.6K
    Applications of EEG Neuroimaging Data: Event-related Potentials, Spectral Power, and Multiscale Entropy
    11:15

    Applications of EEG Neuroimaging Data: Event-related Potentials, Spectral Power, and Multiscale Entropy

    Published on: June 27, 2013

    34.3K
    Utilizing Electroencephalography Measurements for Comparison of Task-Specific Neural Efficiencies: Spatial Intelligence Tasks
    06:57

    Utilizing Electroencephalography Measurements for Comparison of Task-Specific Neural Efficiencies: Spatial Intelligence Tasks

    Published on: August 9, 2016

    11.8K

    Area of Science:

    • Neuroscience
    • Computer Science
    • Cognitive Science

    Background:

    • Existing research on code comprehension primarily uses neuroimaging techniques.
    • Electroencephalography (EEG) offers a valuable alternative for studying brain activity during cognitive tasks.
    • Understanding cognitive load during code comprehension is crucial for software development.

    Purpose of the Study:

    • To investigate brain activity using EEG during code comprehension tasks.
    • To analyze the relationship between code complexity and neural correlates of cognitive effort.
    • To evaluate the effectiveness of current code complexity metrics in capturing cognitive load.

    Main Methods:

    • Utilized Electroencephalography (EEG) to record brain activity in 30 subjects.
    • Assessed three levels of code complexity based on five established metrics.
    • Employed Leave-One-Subject-Out cross-validation and Linear Discriminant Analysis for classification.

    Main Results:

    • Features related to Gamma activity were consistently identified across all validation folds.
    • The right parietal brain region emerged as the most significant contributor of features.
    • Classifier achieved high accuracy for easy code complexity (92.71%), but lower for intermediate (52.25%) and advanced (53.13%) levels, indicating mental effort saturation.

    Conclusions:

    • EEG data reveals distinct patterns of brain activity correlating with code complexity.
    • Evidence suggests a saturation of mental effort beyond a certain code complexity threshold.
    • Current code complexity metrics may not adequately capture the cognitive load experienced by developers, potentially impacting bug risk assessment.