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

296
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,...
296

You might also read

Related Articles

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

Sort by
Same author

Association of Baseline Glymphatic-Related MRI Metrics With Neoadjuvant Chemotherapy-Related Cognitive Impairment in Patients With Breast Cancer.

Journal of magnetic resonance imaging : JMRI·2026
Same author

Age-Specific Contrast Optimization of bSSFP in Fetal Brain.

Magnetic resonance in medicine·2026
Same author

Five-year change in brain metabolism across the spectrum of cognitive impairment in older adults: a quantitative MRI study.

Alzheimer's & dementia : the journal of the Alzheimer's Association·2026
Same author

Microstructure imaging of prostate cancer by diffusion MRI.

Magma (New York, N.Y.)·2026
Same author

Tau aggregates cause reactivation of transposable DNA elements, leading to Z-RNA-ZBP1-mediated neuronal death.

Nature neuroscience·2026
Same author

Longitudinal Central Adiposity Accumulation is Associated with Cortical Alteration and Impaired Cognitive Function in Adolescents.

medRxiv : the preprint server for health sciences·2026

Related Experiment Video

Updated: Jan 9, 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

7.0K

Automatic Quality Control for Resting-State BOLD-Based Cerebrovascular Reactivity Mapping.

Yutian Wang1, Peiying Liu2, Mingyang Li1

  • 1Key Laboratory for Biomedical Engineering of Ministry of Education, Department of Biomedical Engineering, College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, Zhejiang, China.

NMR in Biomedicine
|December 3, 2025
PubMed
Summary
This summary is machine-generated.

Researchers developed an automated quality control algorithm to identify poor-quality resting-state cerebrovascular reactivity (CVR) mapping. This tool ensures reliable vascular health research using BOLD fMRI data, improving data quality for large-scale studies.

Keywords:
automatic quality evaluationcerebrovascular reactivityfMRI analysisquality control algorithmresting‐state BOLD

More Related Videos

Exploring the Neural Correlates of Cognitive Reappraisal in Obsessive-Compulsive Disorder Using Task-based Functional Magnetic Resonance Imaging
09:14

Exploring the Neural Correlates of Cognitive Reappraisal in Obsessive-Compulsive Disorder Using Task-based Functional Magnetic Resonance Imaging

Published on: March 14, 2025

875
MRI Mapping of Cerebrovascular Reactivity via Gas Inhalation Challenges
09:33

MRI Mapping of Cerebrovascular Reactivity via Gas Inhalation Challenges

Published on: December 17, 2014

14.5K

Related Experiment Videos

Last Updated: Jan 9, 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

7.0K
Exploring the Neural Correlates of Cognitive Reappraisal in Obsessive-Compulsive Disorder Using Task-based Functional Magnetic Resonance Imaging
09:14

Exploring the Neural Correlates of Cognitive Reappraisal in Obsessive-Compulsive Disorder Using Task-based Functional Magnetic Resonance Imaging

Published on: March 14, 2025

875
MRI Mapping of Cerebrovascular Reactivity via Gas Inhalation Challenges
09:33

MRI Mapping of Cerebrovascular Reactivity via Gas Inhalation Challenges

Published on: December 17, 2014

14.5K

Area of Science:

  • Neuroimaging
  • Cardiovascular Science
  • Biomedical Engineering

Background:

  • Resting-state BOLD fMRI enables cerebrovascular reactivity (CVR) mapping for vascular health research.
  • Spontaneous CO2 fluctuations used as endogenous stimuli can lead to low signal-to-noise ratio (SNR) and poor reproducibility in resting-state CVR.
  • Automatic quality control is essential for reliable large-scale CVR research.

Purpose of the Study:

  • To develop and validate an automatic quality control algorithm for resting-state CVR mapping.
  • To create a comprehensive quality evaluation index (QEI) for assessing resting-state CVR data quality.

Main Methods:

  • Extracted quality control parameters including pooled variance, proportion of negative voxels, and BOLD signal sensitivity to CVR.
  • Combined parameters into a single Quality Evaluation Index (QEI).
  • Validated QEI using leave-one-out cross-validation and correlation analysis with test-retest reproducibility across multiple scanning protocols and participants.

Main Results:

  • Leave-one-out cross-validation showed significant correlation (r=0.766) between QEI and reference quality evaluation.
  • Correlation analyses revealed significant positive correlations between QEI and CVR map similarity across test-retests (r=0.809, 0.890, 0.396, 0.654).
  • The QEI demonstrated good agreement with visual inspection and adaptability across different age groups and scanning protocols.

Conclusions:

  • The developed automatic quality control algorithm and QEI effectively evaluate resting-state CVR mapping quality.
  • The QEI is reliable, reproducible, and adaptable, supporting clinical applications of resting-state CVR.
  • This tool facilitates large-scale research and enhances the clinical utility of CVR mapping.