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

On clustering fMRI time series.

C Goutte1, P Toft, E Rostrup

  • 1Department of Mathematical Modelling, Technical University of Denmark, Building 321.

Neuroimage
|March 17, 1999
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

Retraction notice to "Prenatal and early postnatal exposure to perfluoroalkyl substances and bone mineral content and density in the odense child cohort" [Environ. Int. 167 (2022) 107417].

Environment international·2023
Same author

Prenatal and early postnatal exposure to perfluoroalkyl substances and bone mineral content and density in the Odense child cohort.

Environment international·2022
Same author

Internal exposure of Flemish teenagers to environmental pollutants: Results of the Flemish Environment and Health Study 2016-2020 (FLEHS IV).

International journal of hygiene and environmental health·2022
Same author

Severity of COVID-19 at elevated exposure to perfluorinated alkylates.

medRxiv : the preprint server for health sciences·2020
Same author

Baseline measures of cerebral glutamate and GABA levels in individuals at ultrahigh risk for psychosis: Implications for clinical outcome after 12 months.

European psychiatry : the journal of the Association of European Psychiatrists·2020
Same author

Chitin-calcium alginate composite fibers for wound care dressings spun from ionic liquid solution.

Journal of materials chemistry. B·2020
Same journal

Segmentation of the parasagittal dura mater on multi-center 3D-FLAIR MRI.

NeuroImage·2026
Same journal

Spatial frequency channels implement a mental ruler in spatial vision.

NeuroImage·2026
Same journal

Exploring the Link Between Intravoxel Incoherent Motion Measured Brain Diffusivity During Wakefulness and Sleep Macrostructure in the Elderly.

NeuroImage·2026
Same journal

Closed-loop adaptation of transcranial magnetic stimulation intensity with electroencephalography feedback.

NeuroImage·2026
Same journal

Volumetric postmortem MRI of the medial temporal lobe in Alzheimer's disease and related disorders: methodological advances and implications for in vivo biomarker development.

NeuroImage·2026
Same journal

Neural responses to equity and inequity when receiving vicarious rewards for self and charity during adolescence.

NeuroImage·2026
See all related articles

This study introduces clustering methods to analyze functional MRI (fMRI) data, revealing similarities in voxel activation patterns and timing. This approach enhances understanding of brain responses to stimuli.

Area of Science:

  • Neuroimaging
  • Computational Neuroscience
  • Data Analysis

Background:

  • Functional MRI (fMRI) time series analysis typically focuses on individual voxel parameters like activation probability or strength.
  • Existing statistical methods often fail to capture coordinated activation patterns or temporal delays between different brain regions.
  • Understanding how sets of voxels activate similarly or differently is crucial for interpreting complex brain responses.

Purpose of the Study:

  • To develop and apply novel clustering methods for detecting similarities in voxel activation within fMRI data.
  • To introduce a new metric for quantifying the similarity between the neural activation stimulus and the measured fMRI signal.
  • To identify regions exhibiting similar activation patterns using advanced clustering algorithms.

Main Methods:

Related Experiment Videos

  • Utilized clustering algorithms to group voxels based on their activation patterns.
  • Developed and implemented a novel metric to assess the similarity between the experimental stimulus and the fMRI signal response.
  • Applied two distinct clustering algorithms to fMRI data from a visual stimulus experiment.

Main Results:

  • Successfully identified distinct regions of similar voxel activation patterns.
  • The novel similarity metric effectively captured relationships between stimuli and fMRI signals.
  • Clustering revealed nuanced activation similarities not detectable by traditional methods.

Conclusions:

  • Clustering methods offer a powerful approach to uncovering coordinated activation patterns in fMRI data.
  • The developed similarity metric enhances the analysis of stimulus-evoked brain activity.
  • This technique provides a more comprehensive understanding of functional brain organization and dynamics.