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: Jun 19, 2026

Cross-Modal Multivariate Pattern Analysis
13:51

Cross-Modal Multivariate Pattern Analysis

Published on: November 9, 2011

A comparison of fMRI adaptation and multivariate pattern classification analysis in visual cortex.

Panagiotis Sapountzis1, Denis Schluppeck, Richard Bowtell

  • 1Nottingham Visual Neuroscience, School of Psychology, University of Nottingham, Nottingham, UK.

Neuroimage
|October 10, 2009
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

Impact of ceftiofur administration and <i>Escherichia coli</i> inoculation on the calf fecal microbiome.

mSystems·2026
Same author

Delivering tactile stimuli via mobile browsers: A method for remote multisensory research.

Behavior research methods·2026
Same author

Examining neuroimaging biomarkers, plasma biomarkers and cognitive functions in patients with recovered COVID-19 infection: a multicentre study using 7T MRI.

Brain communications·2026
Same author

Menopause, Female Sex Hormones, Skeletal Muscle Mass and Muscle Protein Turnover in Humans.

Journal of cachexia, sarcopenia and muscle·2026
Same author

Biomarkers.

Alzheimer's & dementia : the journal of the Alzheimer's Association·2026
Same author

Biomarkers.

Alzheimer's & dementia : the journal of the Alzheimer's Association·2026

Multivariate pattern analysis (MVPA) using functional magnetic resonance imaging (fMRI) is more sensitive than fMRI adaptation for detecting orientation selectivity in the human brain. Both methods showed correlated orientation selectivity estimates across visual areas.

Area of Science:

  • Cognitive Neuroscience
  • Neuroimaging
  • Visual Perception

Background:

  • Functional magnetic resonance imaging (fMRI) measures cortical responses noninvasively but at a millimeter scale, limiting direct study of neuronal selectivity.
  • Investigating neuronal populations at a 'subvoxel' scale is crucial for understanding brain function.
  • fMRI adaptation and multivariate pattern analysis (MVPA) are two prominent fMRI techniques for studying subvoxel neuronal selectivity.

Purpose of the Study:

  • To compare the sensitivity of fMRI adaptation and MVPA for measuring orientation selectivity in the human visual cortex.
  • To determine the relative strengths of these two techniques in detecting subtle differences in stimulus orientation.

Main Methods:

  • Employed optimized experimental designs for both fMRI adaptation and MVPA.

More Related Videos

Basics of Multivariate Analysis in Neuroimaging Data
06:35

Basics of Multivariate Analysis in Neuroimaging Data

Published on: July 24, 2010

Functional Magnetic Resonance Imaging (fMRI) of the Visual Cortex with Wide-View Retinotopic Stimulation
07:11

Functional Magnetic Resonance Imaging (fMRI) of the Visual Cortex with Wide-View Retinotopic Stimulation

Published on: December 8, 2023

Related Experiment Videos

Last Updated: Jun 19, 2026

Cross-Modal Multivariate Pattern Analysis
13:51

Cross-Modal Multivariate Pattern Analysis

Published on: November 9, 2011

Basics of Multivariate Analysis in Neuroimaging Data
06:35

Basics of Multivariate Analysis in Neuroimaging Data

Published on: July 24, 2010

Functional Magnetic Resonance Imaging (fMRI) of the Visual Cortex with Wide-View Retinotopic Stimulation
07:11

Functional Magnetic Resonance Imaging (fMRI) of the Visual Cortex with Wide-View Retinotopic Stimulation

Published on: December 8, 2023

  • Measured blood oxygen level-dependent (BOLD) responses using fMRI.
  • Utilized fMRI adaptation by observing reduced BOLD responses to repeated stimuli.
  • Applied MVPA using multivariate statistics to classify orientation responses based on voxel biases.

    • Main Results:

    • MVPA demonstrated higher sensitivity in detecting small differences in stimulus orientation compared to fMRI adaptation.
    • Estimates of orientation selectivity derived from both methods were highly correlated across different visual areas.

    Conclusions:

    • MVPA offers a more sensitive approach than fMRI adaptation for assessing orientation selectivity at the subvoxel level.
    • Both techniques provide comparable, correlated estimates of orientation selectivity, suggesting complementary insights into visual processing.