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 Experiment Videos

Physiological ROI definition by image subtraction.

P T Fox1

  • 1Department of Neurology and Neurosurgery (Neurology), Mallinckrodt Institute of Radiology, McDonnell Center for Studies of Higher Brain Function, Washington University School of Medicine, St. Louis, Missouri.

Journal of Cerebral Blood Flow and Metabolism : Official Journal of the International Society of Cerebral Blood Flow and Metabolism
|March 1, 1991
PubMed
Summary
This summary is machine-generated.

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

Localised grey matter atrophy in multiple sclerosis is network-based: a coordinate-based meta-analysis.

Clinical radiology·2019
Same author

White Matter Tract Pathology in Pediatric Anoxic Brain Injury from Drowning.

AJNR. American journal of neuroradiology·2017
Same author

Genome-wide significant loci for addiction and anxiety.

European psychiatry : the journal of the Association of European Psychiatrists·2016
Same author

Meta-connectomics: human brain network and connectivity meta-analyses.

Psychological medicine·2016
Same author

Co-activation based parcellation of the human frontal pole.

NeuroImage·2015
Same author

The role of the right temporoparietal junction in attention and social interaction as revealed by ALE meta-analysis.

Brain structure & function·2014
Same journal

EXPRESS: Ventricular CSF-to-blood water transport kinetics in adult hydrocephalus.

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

EXPRESS: Intercellular Mitochondrial Transfer in Ischemic Stroke: Emerging Roles of Microglia.

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

EXPRESS: Mechanical Compaction Alters Microstructural and Magnetic Resonance Imaging Properties of Acute Ischemic Stroke Clots.

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

EXPRESS: Multi-modal Magnetic Resonance Imaging to Assess Cerebrovascular Function in Patients with Atrial Fibrillation.

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

EXPRESS: Trifluoperazine reduces infarct size, restores neurovascular coupling and improves early outcomes in experimental acute ischemic stroke.

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

EXPRESS: Advances in artificial intelligence for neuroimaging.

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

Change-distribution analysis offers a novel approach to quantitative functional image analysis. This method reduces spatial bias and enhances sensitivity, specificity, and localization precision by analyzing all image pixels for changes.

Area of Science:

  • Medical imaging
  • Quantitative image analysis
  • Data science

Background:

  • Quantitative analysis of functional images generates vast amounts of data.
  • Region-of-interest (ROI) selection is a common data reduction method but introduces spatial bias.
  • This bias limits the sensitivity, specificity, and localization precision of image analyses.

Purpose of the Study:

  • To introduce and validate a new data-analysis strategy called change-distribution analysis.
  • To eliminate a priori selection bias inherent in traditional ROI analyses.
  • To improve the sensitivity, specificity, and localization precision of functional image analysis.

Main Methods:

  • Change-distribution analysis surveys all image pixels for changes relative to a control condition.

Related Experiment Videos

  • Only pixels exhibiting changes are sampled for statistical analysis.
  • The method was validated using within-subject pairs of functional images.

    • Main Results:

    • Change-distribution analysis effectively eliminates a priori spatial bias.
    • The strategy demonstrated potential for increased sensitivity, specificity, and localization precision.
    • Validated for within-subject image pairs, showing robust performance.

    Conclusions:

    • Change-distribution analysis is a powerful new strategy for quantitative functional image analysis.
    • It overcomes the limitations of traditional ROI selection by removing spatial bias.
    • The approach is broadly applicable across various imaging protocols.