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

Lateralization01:28

Lateralization

709
Brain lateralization refers to the division of mental processes and functions between the two hemispheres of the brain, a phenomenon that optimizes neural efficiency and underpins complex abilities in humans. This specialization allows each hemisphere to perform tasks where it has a comparative advantage, facilitating more refined cognitive capabilities across different domains.
709

You might also read

Related Articles

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

Sort by
Same author

Outcome trajectories after pediatric epilepsy surgery vary by biopsychosocial phenotypes.

Epilepsia·2026
Same author

Endoscopic corpus callosotomy for drug-resistant epilepsy due to cerebral folate transporter deficiency: illustrative case.

Journal of neurosurgery. Case lessons·2026
Same author

Agreement and 2-year trajectories of youth- and parent-reported health-related quality of life in youth with epilepsy treated with surgery vs medical therapy.

Epilepsia·2026
Same author

Early Life Resting-State Network Functional Connectivity and Long-Term Neurodevelopmental Outcomes after Neonatal Encephalopathy.

AJNR. American journal of neuroradiology·2025
Same author

Do we agree on seizure reduction after vagus nerve stimulation? Interrater reliability of retrospective and prospective seizure frequency ratings from the CONNECTiVOS database.

Epilepsia·2025
Same author

Brain Myelination in Term-Born Infants Shapes Behaviors and Is Disrupted in Extremely Preterm Infants.

Radiology·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: Nov 9, 2025

Author Spotlight: Advancing Pediatric Epilepsy Surgery in Children Through Novel Biomarkers and Enhanced Localization
09:57

Author Spotlight: Advancing Pediatric Epilepsy Surgery in Children Through Novel Biomarkers and Enhanced Localization

Published on: September 20, 2024

3.1K

Resting-State Functional MRI for Determining Language Lateralization in Children with Drug-Resistant Epilepsy.

N L Phillips1,2, A S Shatil1, C Go3

  • 1From the Neurosciences and Mental Health Program (N.L.P., A.S.S., A.R., E.W.), The Hospital for Sick Children, Peter Gilgan Centre for Research and Learning, Toronto, Ontario, Canada.

AJNR. American Journal of Neuroradiology
|April 9, 2021
PubMed
Summary
This summary is machine-generated.

Resting-state fMRI shows promise for predicting typical language dominance in children with epilepsy. However, it struggles to accurately identify atypical language lateralization, requiring further research before clinical use.

More Related Videos

Network Analysis of the Default Mode Network Using Functional Connectivity MRI in Temporal Lobe Epilepsy
12:09

Network Analysis of the Default Mode Network Using Functional Connectivity MRI in Temporal Lobe Epilepsy

Published on: August 5, 2014

18.3K
A Multimodal Imaging- and Stimulation-based Method of Evaluating Connectivity-related Brain Excitability in Patients with Epilepsy
08:23

A Multimodal Imaging- and Stimulation-based Method of Evaluating Connectivity-related Brain Excitability in Patients with Epilepsy

Published on: November 13, 2016

11.4K

Related Experiment Videos

Last Updated: Nov 9, 2025

Author Spotlight: Advancing Pediatric Epilepsy Surgery in Children Through Novel Biomarkers and Enhanced Localization
09:57

Author Spotlight: Advancing Pediatric Epilepsy Surgery in Children Through Novel Biomarkers and Enhanced Localization

Published on: September 20, 2024

3.1K
Network Analysis of the Default Mode Network Using Functional Connectivity MRI in Temporal Lobe Epilepsy
12:09

Network Analysis of the Default Mode Network Using Functional Connectivity MRI in Temporal Lobe Epilepsy

Published on: August 5, 2014

18.3K
A Multimodal Imaging- and Stimulation-based Method of Evaluating Connectivity-related Brain Excitability in Patients with Epilepsy
08:23

A Multimodal Imaging- and Stimulation-based Method of Evaluating Connectivity-related Brain Excitability in Patients with Epilepsy

Published on: November 13, 2016

11.4K

Area of Science:

  • Neuroimaging
  • Epilepsy Research
  • Pediatric Neurology

Background:

  • Task-based functional MRI (fMRI) is used for language dominance assessment but is challenging for some children.
  • Task-free resting-state fMRI (rs-fMRI) offers a potential alternative for language lateralization.
  • This study investigates rs-fMRI's efficacy in children with drug-resistant epilepsy.

Purpose of the Study:

  • To evaluate the ability of resting-state fMRI to predict language laterality in children with drug-resistant epilepsy.
  • To compare the concordance of rs-fMRI with various task-based fMRI paradigms.

Main Methods:

  • Retrospective review of 43 children with drug-resistant epilepsy.
  • Analysis of resting-state fMRI data using independent component analysis to identify language networks.
  • Calculation of concordance rates between rs-fMRI and four task-based fMRI language paradigms.

Main Results:

  • Concordance between rs-fMRI and task-based fMRI ranged from 0.64 to 0.73.
  • rs-fMRI correctly classified 78%-83% of patients with left-lateralized language dominance.
  • rs-fMRI demonstrated poor classification accuracy for patients with right or bilateral language dominance.

Conclusions:

  • Resting-state fMRI shows good accuracy for identifying typical left-hemisphere language dominance in pediatric epilepsy patients.
  • Current rs-fMRI methods are insufficient for reliably detecting atypical language lateralization in this population.
  • Further research is needed to validate rs-fMRI for clinical language mapping in pediatric epilepsy surgery evaluations.