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

Laterality index in functional MRI: methodological issues.

Mohamed L Seghier1

  • 1Wellcome Trust Centre for Neuroimaging, Institute of Neurology, UCL London, UK. m.seghier@fil.ion.ucl.ac.uk

Magnetic Resonance Imaging
|December 26, 2007
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

MRI acute/sub-acute ischemic stroke segmentation with deep learning: A comprehensive review.

International review of cell and molecular biology·2026
Same author

The nonlinear trajectory of post-stroke aphasia recovery.

Frontiers in human neuroscience·2026
Same author

Voxel-wise deep learning segmentation of hydroxyapatite and iodine in spectral photon-counting CT: A quantitative phantom study.

PloS one·2026
Same author

VarCoNet: A Variability-Aware Self-Supervised Framework for Functional Connectome Extraction From Resting-State fMRI.

Human brain mapping·2026
Same author

DUCore: Dual Uncertainty-Guided Consistency and Regional Contrastive Learning for Semi-supervised Medical Image Segmentation.

IEEE journal of biomedical and health informatics·2026
Same author

Separating the forest from the palm trees: Individual variation in a presurgical language mapping task.

NeuroImage. Clinical·2026
Same journal

Incremental diagnostic value of microstructural time-dependent diffusion MRI in differentiating PCNSL from glioblastoma over conventional MRI.

Magnetic resonance imaging·2026
Same journal

Enhanced motion compensation for free-breathing dynamic contrast-enhanced MRI with GROG-facilitated bunch phase encoding and Golden angle radial sampling.

Magnetic resonance imaging·2026
Same journal

The allegory of the cave: 10 years of AI shadows in radiology.

Magnetic resonance imaging·2026
Same journal

Conversion of 3 T liver, spleen, pancreas, and kidney R2* measurements to 1.5 T R2* equivalents: Validation of a theoretical framework.

Magnetic resonance imaging·2026
Same journal

Cine-derived mitral annular relaxation velocity for detection of preclinical left ventricular diastolic dysfunction.

Magnetic resonance imaging·2026
Same journal

Bone marrow fat fraction and R2* in sickle cell disease: Associations with hemolysis, iron metabolism, and disease severity.

Magnetic resonance imaging·2026
See all related articles

Functional magnetic resonance imaging (fMRI) uses the laterality index (LI) to assess brain dominance. This review highlights key methodological factors crucial for accurate LI interpretation in fMRI language studies.

Area of Science:

  • Neuroimaging
  • Cognitive Neuroscience
  • Functional Magnetic Resonance Imaging (fMRI)

Background:

  • Hemispheric dominance is commonly assessed using the laterality index (LI) in fMRI.
  • Accurate LI interpretation requires careful consideration of various methodological factors.

Purpose of the Study:

  • To review critical methodological factors influencing the laterality index (LI) in fMRI.
  • To discuss approaches for addressing these factors in LI assessment.
  • To contextualize these factors within fMRI studies of the language system.

Main Methods:

  • Literature review of methodological factors affecting LI calculation in fMRI.
  • Discussion of quantification, localization, statistical thresholding, and condition selection.
  • Examination of LI reproducibility and interpretation challenges.

Related Experiment Videos

Main Results:

  • LI assessment is sensitive to quantification methods, region of interest localization, and statistical thresholds.
  • The choice of activation and baseline conditions significantly impacts LI values.
  • Reproducibility of LI values is a critical concern for reliable interpretation.

Conclusions:

  • Standardizing methodological approaches is essential for robust and comparable LI measures in fMRI.
  • Addressing these factors improves the reliability of assessing hemispheric dominance, particularly in language processing.
  • This review provides a framework for critical evaluation of LI in fMRI research.