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

Integrated wavelet processing and spatial statistical testing of fMRI data.

Dimitri Van De Ville1, Thierry Blu, Michael Unser

  • 1Biomedical Imaging Group, Swiss Federal Institute of Technology Lausanne (EPFL), CH-1015 Lausanne, Switzerland. Dimitri.VanDeVille@epfl.ch

Neuroimage
|December 14, 2004
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

Dynamic reconfiguration of subunits from the hippocampal-amygdala complex indicate patterns of psychosis vulnerability in 22q11.2 deletion syndrome.

Scientific reports·2026
Same author

Shared and Individual Resting-State MEG Network Signatures of Tinnitus Revealed by Holistic Graph Learning.

IEEE open journal of engineering in medicine and biology·2026
Same author

The microstructure-weighted human connectome: network properties and structure-function correlations across spatial scales.

bioRxiv : the preprint server for biology·2026
Same author

Revisiting deep information propagation: Fractal frontier and finite-size effects.

Neural networks : the official journal of the International Neural Network Society·2026
Same author

A diffusion MRI-derived perivascular metric related to glymphatic-associated processes in bipolar disorder vulnerability: Multimodal correlates across emotion dysregulation patients and offspring.

Psychiatry research·2026
Same author

Spinal cord structural and functional architecture and its shared organization with the brain across the adult lifespan.

Nature communications·2026
Same journal

Investigating the Neural Origins of Ear-EEG: A Correlation Study Using Scalp EEG Source Reconstruction.

NeuroImage·2026
Same journal

Hysteresis effects in visual and auditory perception and the comparison of underlying neural mechanisms - an EEG study.

NeuroImage·2026
Same journal

Short-term audio-tactile training affects cortical auditory speech-envelope tracking for incongruent but not congruent stimuli.

NeuroImage·2026
Same journal

Dissociable Neurocognitive Mechanisms of State and Trait Anxiety in Working Memory: Threat-Induced Alterations in Decision Dynamics and Attenuation of Large-Scale Network Reconfiguration.

NeuroImage·2026
Same journal

Neuro-Ocular Amyloid Characterization in Alzheimer's Disease via Cross-Site PET-MRI and Hierarchical Cross-Attention Driven Multimodal Representation Learning.

NeuroImage·2026
Same journal

Whole-brain network dynamics underlying intolerance of uncertainty.

NeuroImage·2026
See all related articles

This study presents a novel framework for detecting brain activity using fMRI data and a spatial discrete wavelet transform. The WSPM toolbox offers robust activation detection with conservative statistical assumptions, comparable to existing methods.

Area of Science:

  • Neuroimaging
  • Signal Processing
  • Statistical Analysis

Background:

  • Functional magnetic resonance imaging (fMRI) is crucial for understanding brain activity.
  • Existing wavelet-based fMRI analysis methods have limitations in statistical rigor.
  • A need exists for robust and statistically conservative fMRI analysis techniques.

Purpose of the Study:

  • To introduce an integrated framework for detecting brain activity from fMRI data.
  • To develop a novel approach using spatial discrete wavelet transform with spatial domain statistical testing.
  • To implement this framework as a user-friendly toolbox for fMRI analysis.

Main Methods:

  • Application of spatial discrete wavelet transform to fMRI data.
  • Implementation of statistical tests in the spatial domain for activation detection.

Related Experiment Videos

  • Optimization of wavelet processing based on minimal approximation error for data-independent thresholding.
  • Integration into the SPM2 software as the WSPM toolbox.

    • Main Results:

    • The developed framework successfully detects brain activation patterns in fMRI data.
    • The WSPM toolbox demonstrates comparable performance to standard SPM methods.
    • The method achieves robust activation detection under conservative statistical assumptions.

    Conclusions:

    • The proposed integrated framework provides a statistically sound and effective method for fMRI analysis.
    • The WSPM toolbox enhances the capability for reliable brain activity detection.
    • This approach offers a valuable alternative for researchers seeking conservative yet powerful fMRI analysis tools.