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

Evaluation of the reproducibility and factors affecting perfusion measurement in normal pregnancies with single-slice FAIR Arterial Spin Labeling (ASL).

Placenta·2026
Same author

Large-scale analysis of structural brain asymmetries during neurodevelopment: Associations with age and sex in 4265 children and adolescents.

Human brain mapping·2024
Same author

Deep Learning-Generated Synthetic MR Imaging STIR Spine Images Are Superior in Image Quality and Diagnostically Equivalent to Conventional STIR: A Multicenter, Multireader Trial.

AJNR. American journal of neuroradiology·2023
Same author

Remote assessment of ADHD in children and adolescents: recommendations from the European ADHD Guidelines Group following the clinical experience during the COVID-19 pandemic.

European child & adolescent psychiatry·2023
Same author

Impact of the COVID-19 pandemic on children with and without affective dysregulation and their families.

European child & adolescent psychiatry·2022
Same author

Deep Learning Image Processing Enables 40% Faster Spinal MR Scans Which Match or Exceed Quality of Standard of Care : A Prospective Multicenter Multireader Study.

Clinical neuroradiology·2021
Same journal

Diffusion-Informed Joint Segmentation Enhances Detection of Thalamic Atrophy in Parkinson's Disease.

Brain topography·2026
Same journal

Local Field Potential Recordings Using Deep Brain Stimulation: A Practical Workflow and Open-Source Signal Processing Pipeline.

Brain topography·2026
Same journal

Electrocortical Indices of Default Mode Network-Related Activity in ADHD and Modulation Through Mindfulness-Based Cognitive Therapy.

Brain topography·2026
Same journal

Electroencephalogram for the Diagnosis of Depression: A Systematic Review and Meta-Analysis of Diagnostic Test Accuracy.

Brain topography·2026
Same journal

Mapping Whole-Brain Nonlinear Structure-Function Dynamics in Aging via Neural Granger Causality.

Brain topography·2026
Same journal

Association Between Spatiotemporal Properties of Global Brain Activity and Childhood Emotional and Behavioral Problems: Evidence from Microstate C.

Brain topography·2026
See all related articles

Related Experiment Video

Updated: May 16, 2026

Cerebral Blood Flow-Based Resting State Functional Connectivity of the Human Brain using Optical Diffuse Correlation Spectroscopy
07:13

Cerebral Blood Flow-Based Resting State Functional Connectivity of the Human Brain using Optical Diffuse Correlation Spectroscopy

Published on: May 27, 2020

Coupling between resting cerebral perfusion and EEG.

R L O'Gorman1, S-S Poil, D Brandeis

  • 1Center for MR-Research, University Children's Hospital Zurich, Steinwiesstrasse 75, CH-8032, Zurich, Switzerland.

Brain Topography
|November 20, 2012
PubMed
Summary
This summary is machine-generated.

This study reveals frequency-specific links between electroencephalography (EEG) power and brain perfusion. Lower EEG frequencies correlate with reduced blood flow, while higher frequencies show positive correlations, impacting attention networks.

More Related Videos

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

BrainBeats as an Open-Source EEGLAB Plugin to Jointly Analyze EEG and Cardiovascular Signals
08:22

BrainBeats as an Open-Source EEGLAB Plugin to Jointly Analyze EEG and Cardiovascular Signals

Published on: April 26, 2024

Related Experiment Videos

Last Updated: May 16, 2026

Cerebral Blood Flow-Based Resting State Functional Connectivity of the Human Brain using Optical Diffuse Correlation Spectroscopy
07:13

Cerebral Blood Flow-Based Resting State Functional Connectivity of the Human Brain using Optical Diffuse Correlation Spectroscopy

Published on: May 27, 2020

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

BrainBeats as an Open-Source EEGLAB Plugin to Jointly Analyze EEG and Cardiovascular Signals
08:22

BrainBeats as an Open-Source EEGLAB Plugin to Jointly Analyze EEG and Cardiovascular Signals

Published on: April 26, 2024

Area of Science:

  • Neuroscience
  • Neuroimaging
  • Physiology

Background:

  • Limited understanding of electroencephalography (EEG) oscillations and baseline brain hemodynamics.
  • Few studies link EEG power outside the alpha band to baseline cerebral blood flow.

Purpose of the Study:

  • To investigate associations between EEG power across various frequency bands and baseline brain perfusion.
  • To explore frequency-specific correlations between EEG oscillations and cerebral blood flow in healthy adults.

Main Methods:

  • Utilized whole-brain arterial spin labeling perfusion MRI and EEG.
  • Recorded data from 16 healthy adults during an eyes-closed rest condition.
  • Analyzed correlations between global average EEG power and regional perfusion.

Main Results:

  • Positive correlations found between EEG power in middle (alpha) and high (beta, gamma) frequency bands and perfusion.
  • Negative correlations observed between delta EEG frequency and perfusion.
  • Central alpha frequency positively correlated with attention-related brain regions.
  • Central theta frequency negatively correlated with widespread cortical regions.

Conclusions:

  • EEG power and local cerebral blood flow coupling is frequency-dependent.
  • Results support the concept that decreasing EEG frequencies correlate with decreasing brain activation levels.