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

Brain Imaging01:14

Brain Imaging

557
Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans),  magnetic resonance imaging (MRI),  functional magnetic resonance imaging (fMRI), and Transcranial Magnetic...
557

You might also read

Related Articles

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

Sort by
Same author

Facet Joint Imaging and Image-Guided Interventions from the American College of Radiology Commission on Neuroradiology.

AJNR. American journal of neuroradiology·2026
Same author

The RSNA Lumbar Degenerative Imaging Spine Classification (LumbarDISC) Dataset.

Radiology. Artificial intelligence·2026
Same author

Consensus Guidelines on Diagnostic Brain and Spine Imaging of Spontaneous Intracranial Hypotension.

AJNR. American journal of neuroradiology·2025
Same author

Teaching AI for Radiology Applications: A Multisociety-Recommended Syllabus from the AAPM, ACR, RSNA, and SIIM.

Radiology. Artificial intelligence·2025
Same author

Generative Large Language Models Trained for Detecting Errors in Radiology Reports.

Radiology·2025
Same author

The Evolution of Radiology Image Annotation in the Era of Large Language Models.

Radiology. Artificial intelligence·2025
Same journal

Neuroradiology Leads NIH Funding Among Clinician Diagnostic Radiologists: A 14-Year National Analysis.

AJNR. American journal of neuroradiology·2026
Same journal

Neutral Cervical Spine MRI is Not Enough: The Critical Role of Flexion Imaging in Hirayama disease in Pediatric Patients.

AJNR. American journal of neuroradiology·2026
Same journal

CT Evaluation of Osseous Trauma at the Craniocervical Junction: A Pattern-Based Overview.

AJNR. American journal of neuroradiology·2026
Same journal

Comprehensive Structural MRI Phenotyping in <i>Oligophrenin 1-</i>Related Disorder Reveals Characteristic Brain Malformations.

AJNR. American journal of neuroradiology·2026
Same journal

ASNR-ESNR White Paper on Sustainability in Neuroradiology.

AJNR. American journal of neuroradiology·2026
Same journal

Intracranial Atherosclerotic Disease Distribution Across Circle of Willis Segments: Insights from CREST-H.

AJNR. American journal of neuroradiology·2026
See all related articles

Related Experiment Video

Updated: Dec 16, 2025

3D-Neuronavigation In Vivo Through a Patient's Brain During a Spontaneous Migraine Headache
10:39

3D-Neuronavigation In Vivo Through a Patient's Brain During a Spontaneous Migraine Headache

Published on: June 2, 2014

18.6K

Headache and Neuroimaging: Why We Continue to Do It.

J E Jordan1,2, A E Flanders3

  • 1From the Department of Radiology (J.E.J.), Providence Little Company of Mary Medical Center, Torrance, California john.jordan2@providence.org.

AJNR. American Journal of Neuroradiology
|July 4, 2020
PubMed
Summary
This summary is machine-generated.

Clinicians frequently order imaging for chronic headaches despite evidence of low cost-effectiveness. Overutilization stems from various factors, necessitating reforms and advanced tools for better patient management.

More Related Videos

Dural Stimulation and Periorbital von Frey Testing in Mice As a Preclinical Model of Headache
05:40

Dural Stimulation and Periorbital von Frey Testing in Mice As a Preclinical Model of Headache

Published on: July 29, 2021

9.3K
Author Spotlight: Deciphering Electrical Networks Behind Complex Brain Activities and Disorders
05:49

Author Spotlight: Deciphering Electrical Networks Behind Complex Brain Activities and Disorders

Published on: November 1, 2024

1.2K

Related Experiment Videos

Last Updated: Dec 16, 2025

3D-Neuronavigation In Vivo Through a Patient's Brain During a Spontaneous Migraine Headache
10:39

3D-Neuronavigation In Vivo Through a Patient's Brain During a Spontaneous Migraine Headache

Published on: June 2, 2014

18.6K
Dural Stimulation and Periorbital von Frey Testing in Mice As a Preclinical Model of Headache
05:40

Dural Stimulation and Periorbital von Frey Testing in Mice As a Preclinical Model of Headache

Published on: July 29, 2021

9.3K
Author Spotlight: Deciphering Electrical Networks Behind Complex Brain Activities and Disorders
05:49

Author Spotlight: Deciphering Electrical Networks Behind Complex Brain Activities and Disorders

Published on: November 1, 2024

1.2K

Area of Science:

  • Neurology
  • Radiology
  • Health Policy

Background:

  • Imaging for chronic nonfocal headaches is increasing despite guidelines questioning its cost-effectiveness.
  • Clinicians face challenges in appropriate headache imaging due to fear of missed diagnoses, litigation, and established practices.

Purpose of the Study:

  • To analyze the complex factors driving the overuse of imaging in patients with headaches.
  • To explore potential solutions, including regulatory reforms and technological advancements, for optimizing headache diagnostic strategies.

Main Methods:

  • Review of existing guidelines and studies on headache imaging cost-effectiveness.
  • Analysis of multifactorial reasons for current clinical practices in headache imaging.
  • Discussion of the societal value of negative imaging findings and future management approaches.

Main Results:

  • Despite evidence against routine imaging for chronic nonfocal headaches, its utilization is rising.
  • Key drivers include fear of litigation, habitual practices, patient pressure, and financial incentives.
  • Negative imaging results hold societal value, but this is not fully recognized.

Conclusions:

  • Regulatory and legislative reforms are essential to support evidence-based imaging practices without professional risk.
  • Clinical decision support tools and machine intelligence show promise in improving the quality and cost-efficiency of headache management.
  • A better understanding of the value of negative findings is needed to shift clinical behavior.