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 Video

Updated: May 9, 2026

Topographical Estimation of Visual Population Receptive Fields by fMRI
06:02

Topographical Estimation of Visual Population Receptive Fields by fMRI

Published on: February 3, 2015

Optimization of retinotopy constrained source estimation constrained by prior.

Donald J Hagler1

  • 1Multimodal Imaging Laboratory and Department of Radiology, University of California, San Diego, La Jolla, California.

Human Brain Mapping
|July 23, 2013
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

Air pollution is linked to divergent cortical thickness patterns in brain regions vulnerable to Alzheimer's disease.

Neurotoxicology·2026
Same author

FEMA-Long: Modeling unstructured covariances for discovery of time-dependent effects in large-scale longitudinal datasets.

PLoS genetics·2026
Same author

Strategies for collection, management, and release of data for multi-site longitudinal studies: Lessons from the ABCD Data Analysis, Informatics, & Resource Center.

Developmental cognitive neuroscience·2026
Same author

Association of C-reactive protein with brain micro- and macro-structure among older adult men.

Brain, behavior, and immunity·2026
Same author

Nonlinear associations between body mass index and brain microstructure across adolescence in the ABCD Study.

bioRxiv : the preprint server for biology·2026
Same author

Bicuspid Aortic Valve in Infants without Severe Congenital Heart Defects: Early Echocardiographic Findings Guide Surveillance Strategies.

Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography·2026
Same journal

Diurnal Variations and Test-Retest Reliability of Resting-State Functional MRI Metrics.

Human brain mapping·2026
Same journal

Brain Aging in Specific Phobia: An ENIGMA-Anxiety Mega-Analysis.

Human brain mapping·2026
Same journal

Talking to the Brain: Using Large Language Models as Proxies to Model Brain Semantic Features.

Human brain mapping·2026
Same journal

Emotional Context Modulates the Response to Somatosensory Stimuli Within 20 milliseconds.

Human brain mapping·2026
Same journal

GABAergic Modulation of Brain Function During Prosaccade and Antisaccade Eye Movements: Evidence From Ultra-High-Field fMRI.

Human brain mapping·2026
Same journal

Injury Severity Influences Long-Term Cognitive Control in Pediatric "Mild" Traumatic Brain Injury.

Human brain mapping·2026
See all related articles

This study introduces retinotopy constrained source estimation (RCSE) to reliably measure visual evoked responses (VERs) in human visual areas. RCSE improves understanding of visual processing differences between V1, V2, and V3.

Area of Science:

  • Neuroscience
  • Visual Neuroscience
  • Computational Neuroscience

Background:

  • Understanding visual evoked responses (VERs) across visual areas is crucial for visual processing research.
  • Noninvasive brain measurements often face challenges in accurately estimating VERs within specific visual areas.

Purpose of the Study:

  • To develop and validate a novel method, retinotopy constrained source estimation (RCSE), for reliably estimating VERs in individual visual areas.
  • To analyze differences in VER timing and amplitude between visual areas V1, V2, and V3.

Main Methods:

  • Employed retinotopy constrained source estimation (RCSE) combining fMRI retinotopy and MEG/EEG.
  • Utilized multiple retinotopically mapped stimulus locations to constrain VER estimates in V1, V2, and V3.
Keywords:
MEGV1V2V3VERfMRIretinotopysource estimationvisual evoked response

More Related Videos

Mapping Cortical Dynamics Using Simultaneous MEG/EEG and Anatomically-constrained Minimum-norm Estimates: an Auditory Attention Example
08:45

Mapping Cortical Dynamics Using Simultaneous MEG/EEG and Anatomically-constrained Minimum-norm Estimates: an Auditory Attention Example

Published on: October 24, 2012

Cortical Source Analysis of High-Density EEG Recordings in Children
09:32

Cortical Source Analysis of High-Density EEG Recordings in Children

Published on: June 30, 2014

Related Experiment Videos

Last Updated: May 9, 2026

Topographical Estimation of Visual Population Receptive Fields by fMRI
06:02

Topographical Estimation of Visual Population Receptive Fields by fMRI

Published on: February 3, 2015

Mapping Cortical Dynamics Using Simultaneous MEG/EEG and Anatomically-constrained Minimum-norm Estimates: an Auditory Attention Example
08:45

Mapping Cortical Dynamics Using Simultaneous MEG/EEG and Anatomically-constrained Minimum-norm Estimates: an Auditory Attention Example

Published on: October 24, 2012

Cortical Source Analysis of High-Density EEG Recordings in Children
09:32

Cortical Source Analysis of High-Density EEG Recordings in Children

Published on: June 30, 2014

  • Applied nonlinear optimization of dipole locations, guided by a group-constrained RCSE solution.
  • Main Results:

    • V1 exhibited a 37% larger peak response than V2 and 74% larger than V3, occurring ~10-20 ms earlier.
    • Normalized contrast response functions were consistent across V1, V2, and V3.
    • RCSE with dipole optimization demonstrated greater robustness and reduced between-subject variability compared to other methods.

    Conclusions:

    • RCSE provides a reliable method for analyzing VERs in human visual areas, facilitating the study of visual processing.
    • This approach enhances the understanding of spatiotemporal differences in visual evoked responses between V1, V2, and V3.
    • The increased reliability of RCSE is valuable for studies with limited stimulus locations, allowing for diverse experimental manipulations.