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

Measurement of schizophrenia symptoms through speech analysis from PANSS interview recordings.

Frontiers in psychiatry·2025
Same author

Facial and Vocal Markers of Schizophrenia Measured Using Remote Smartphone Assessments: Observational Study.

JMIR formative research·2022
Same author

Remote Digital Measurement of Facial and Vocal Markers of Major Depressive Disorder Severity and Treatment Response: A Pilot Study.

Frontiers in digital health·2021
Same author

Technology for Measuring and Monitoring Treatment Compliance Remotely.

Journal of Parkinson's disease·2021
Same author

Validation of Visual and Auditory Digital Markers of Suicidality in Acutely Suicidal Psychiatric Inpatients: Proof-of-Concept Study.

Journal of medical Internet research·2021
Same author

Computer Vision-Based Assessment of Motor Functioning in Schizophrenia: Use of Smartphones for Remote Measurement of Schizophrenia Symptomatology.

Digital biomarkers·2021
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: Mar 6, 2026

Resting-State Connectivity and Neuroimaging of Prefrontal Cortex Activity During a Block-Design Yoga Asana Practice Using fNIRS
07:56

Resting-State Connectivity and Neuroimaging of Prefrontal Cortex Activity During a Block-Design Yoga Asana Practice Using fNIRS

Published on: June 24, 2025

961

Multiscale network activity in resting state fMRI.

Shella D Keilholz, Jacob C W Billings, Kai Wang

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |March 9, 2017
    PubMed
    Summary
    This summary is machine-generated.

    Brain activity is multiscalar, with global, quasiperiodic, and aperiodic processes coexisting in blood oxygenation level dependent (BOLD) signals. Careful analysis reveals these BOLD fluctuations reflect electrical activity, offering new insights into brain architecture.

    More Related Videos

    Developing Neuroimaging Phenotypes of the Default Mode Network in PTSD: Integrating the Resting State, Working Memory, and Structural Connectivity
    10:43

    Developing Neuroimaging Phenotypes of the Default Mode Network in PTSD: Integrating the Resting State, Working Memory, and Structural Connectivity

    Published on: July 1, 2014

    15.9K
    Dynamic Inter-subject Functional Connectivity Reveals Moment-to-Moment Brain Network Configurations Driven by Continuous or Communication Paradigms
    08:36

    Dynamic Inter-subject Functional Connectivity Reveals Moment-to-Moment Brain Network Configurations Driven by Continuous or Communication Paradigms

    Published on: March 21, 2019

    7.7K

    Related Experiment Videos

    Last Updated: Mar 6, 2026

    Resting-State Connectivity and Neuroimaging of Prefrontal Cortex Activity During a Block-Design Yoga Asana Practice Using fNIRS
    07:56

    Resting-State Connectivity and Neuroimaging of Prefrontal Cortex Activity During a Block-Design Yoga Asana Practice Using fNIRS

    Published on: June 24, 2025

    961
    Developing Neuroimaging Phenotypes of the Default Mode Network in PTSD: Integrating the Resting State, Working Memory, and Structural Connectivity
    10:43

    Developing Neuroimaging Phenotypes of the Default Mode Network in PTSD: Integrating the Resting State, Working Memory, and Structural Connectivity

    Published on: July 1, 2014

    15.9K
    Dynamic Inter-subject Functional Connectivity Reveals Moment-to-Moment Brain Network Configurations Driven by Continuous or Communication Paradigms
    08:36

    Dynamic Inter-subject Functional Connectivity Reveals Moment-to-Moment Brain Network Configurations Driven by Continuous or Communication Paradigms

    Published on: March 21, 2019

    7.7K

    Area of Science:

    • Neuroscience
    • Brain Imaging
    • Systems Neuroscience

    Background:

    • The brain exhibits complex activity across multiple spatial and temporal scales.
    • Blood oxygenation level dependent (BOLD) signals are widely used to map functional brain connectivity.
    • Understanding the origins of BOLD signal fluctuations is crucial for interpreting brain activity.

    Purpose of the Study:

    • To investigate the multiscalar nature of BOLD signal fluctuations.
    • To demonstrate that different types of neural activity contribute to the BOLD signal.
    • To explore the potential of BOLD signal analysis for understanding brain functional architecture.

    Main Methods:

    • Analysis of BOLD signal fluctuations.
    • Separation of global, quasiperiodic, and aperiodic components within the BOLD signal.
    • Comparison of BOLD signal components with underlying electrical activity scales.

    Main Results:

    • Evidence for the coexistence of global fluctuations, quasiperiodic spatiotemporal patterns, and aperiodic time-varying activity in the BOLD signal.
    • Successful separation of these distinct processes through careful analysis.
    • Demonstration that these separated BOLD signal components correlate with electrical activity on similar scales.

    Conclusions:

    • The multiscalar nature of brain activity is reflected in BOLD signal fluctuations.
    • BOLD signals contain separable components representing different types of neural processes.
    • BOLD signal analysis offers a promising avenue for novel insights into the brain's functional architecture.