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

Imaging Studies for Cardiovascular System IV: CMRI01:21

Imaging Studies for Cardiovascular System IV: CMRI

61
Cardiovascular magnetic resonance imaging, or CMRI, is a non-invasive diagnostic test that employs a magnetic field and radiofrequency waves to create precise images of the heart and arteries. It provides comprehensive information about cardiac anatomy, function, perfusion, and tissue characterization without ionizing radiation.IndicationsCMRI diagnoses various heart conditions, including tissue damage from heart attacks, ischemic heart disease, myocarditis, aortic issues (tears, aneurysms,...
61
Magnetic Resonance Imaging01:24

Magnetic Resonance Imaging

5.2K
Magnetic resonance imaging (MRI) is a noninvasive medical imaging technique based on a phenomenon of nuclear physics discovered in the 1930s, in which matter exposed to magnetic fields and radio waves was found to emit radio signals. In 1970, a physician and researcher named Raymond Damadian noticed that malignant (cancerous) tissue gave off different signals than normal body tissue. He applied for a patent for the first MRI scanning device in clinical use by the early 1980s. The early MRI...
5.2K
Imaging Studies VII: Vascular Imaging01:19

Imaging Studies VII: Vascular Imaging

31
DefinitionRenal angiography, also known as renal arteriography, is an imaging technique used to obtain a comprehensive view of blood flow and the vascular structure of blood vessels in the kidneys and surrounding areas.PurposeRenal angiography detects blood vessel abnormalities in the kidneys, such as aneurysms, stenosis, thrombosis, vascular tumors, and renal artery stenosis. It evaluates kidney function and guides interventional treatments like angioplasty or stent placement.Pre-Procedure...
31
Venous Return01:04

Venous Return

5.1K
The circulatory system plays a crucial role in ensuring the optimal functioning of the human body. One of its critical components is venous return - the process that completes the blood circulation cycle. This article will delve into the concept of venous return, how it works, and its significance to our health.
What is Venous Return?
Venous return refers to the rate at which blood flows back to the heart from the body's peripheral veins. It's an integral part of the circulatory system...
5.1K
Imaging Studies IV: Magnetic Resonance Imaging01:27

Imaging Studies IV: Magnetic Resonance Imaging

28
Introduction:Magnetic Resonance Imaging, or MRI, can include a specialized imaging technique of the urinary system known as Magnetic Resonance Urography (MRU). This radiation-free technique uses strong magnetic fields and radio waves to produce detailed images with the help of a computer. MRU is particularly effective for visualizing fluid-filled structures like the kidneys, ureters, and bladder.Applications of MRI in the Genitourinary SystemKidneys and Ureters: MRI detects tumors, cysts,...
28

You might also read

Related Articles

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

Sort by
Same author

Multimodal laminar characterization of visual areas along the cortical hierarchy.

Imaging neuroscience (Cambridge, Mass.)·2026
Same author

Sleep Oscillations Across Cortical, Subcortical and Cerebellar Structures in Magnetoencephalography.

The European journal of neuroscience·2026
Same author

The intrinsic cortical geometry of reading.

bioRxiv : the preprint server for biology·2026
Same author

Human sex-specific hormone effects on cerebrovascular health in males and females.

Mechanisms of ageing and development·2026
Same author

Distinct Physiological Mechanisms Drive Grey Matter Plasticity in Complex Versus Simple Sequence Learning.

Human brain mapping·2026
Same author

EXPRESS: Single-tracer [<sup>18</sup>F]FDG PET quantification of blood-brain barrier permeability and cerebral blood flow: Validation using dual-tracer PET.

Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism·2026

Related Experiment Video

Updated: Jul 21, 2025

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

6.7K

Modeling venous bias in resting state functional MRI metrics.

Julia Huck1,2, Anna-Thekla Jäger3,4, Uta Schneider3

  • 1Department of Physics, Concordia University, Montreal, Quebec, Canada.

Human Brain Mapping
|July 27, 2023
PubMed
Summary

Resting-state functional MRI (fMRI) signals are influenced by draining veins. This study quantifies venous bias in common fMRI metrics, finding it limited and correctable, ensuring more accurate brain connectivity analysis.

Keywords:
biasrsfMRIultra-high field MRIvasculature

More Related Videos

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data
14:27

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data

Published on: June 26, 2013

15.7K
Modeling the Functional Network for Spatial Navigation in the Human Brain
05:55

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

1.1K

Related Experiment Videos

Last Updated: Jul 21, 2025

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

6.7K
Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data
14:27

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data

Published on: June 26, 2013

15.7K
Modeling the Functional Network for Spatial Navigation in the Human Brain
05:55

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

1.1K

Area of Science:

  • Neuroimaging
  • Biophysics
  • Functional Connectivity Analysis

Background:

  • Resting-state functional magnetic resonance imaging (fMRI) infers brain connectivity from blood oxygen-level dependent (BOLD) signal fluctuations.
  • The BOLD signal is sensitive to venous blood, potentially introducing biases in connectivity measures.
  • The extent and nature of this venous bias on common resting-state fMRI metrics remain largely unknown.

Purpose of the Study:

  • To investigate and quantify the impact of venous structure on common local resting-state fMRI metrics.
  • To determine how vein size and proximity influence BOLD signal fluctuations and derived connectivity measures.
  • To develop models for correcting systematic venous biases in rsfMRI data.

Main Methods:

  • Identification of cerebral veins using high-resolution quantitative susceptibility mapping.
  • Application of a biophysical model to simulate and assess venous bias effects.
  • Evaluation of the impact of vein diameter and distance on amplitude of low-frequency fluctuations (ALFF), fractional ALFF (fALFF), Hurst exponent (HE), regional homogeneity (ReHo), and eigenvector centrality.

Main Results:

  • rsfMRI metrics showed higher values near smaller veins and decreased with increasing vein diameter.
  • Metrics associated with larger veins demonstrated decreased values with increasing distance.
  • ALFF and ReHo were most susceptible to venous bias, while HE and fALFF showed minimal bias. Overall bias was limited in voxel-wise data.

Conclusions:

  • Venous structure introduces systematic biases in rsfMRI metrics, varying with vein size and proximity.
  • While present, the venous bias is not the dominant source of signal contrast in voxel-wise rsfMRI data.
  • The developed biophysical models offer a method for correcting venous bias, improving the accuracy of resting-state fMRI analyses.