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 Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

A new method for optimal placement of tumor treating fields electrodes.

Neuro-oncology advances·2026
Same author

Effects of electric field direction on TMS-based motor cortex mapping.

Imaging neuroscience (Cambridge, Mass.)·2026
Same author

Retinal nerve fibre layer thickness reflects characteristics of brain grey and white matter.

Imaging neuroscience (Cambridge, Mass.)·2026
Same author

Direct Reconstruction of DC Cortical Conductivity from Large-Scale Electron Microscopy Data.

bioRxiv : the preprint server for biology·2026
Same author

Improved Source Localization of Auditory Evoked Fields using Reciprocal BEM-FMM.

Brain topography·2026
Same author

A coupling model of transcranial magnetic stimulation induced electric fields to neural state variables.

PLoS computational biology·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
Same journal

Early Adulthood Signatures of Motherhood in Brain Aging.

Human brain mapping·2026
See all related articles

Related Experiment Video

Updated: May 1, 2026

A Standardized Pipeline for Examining Human Cerebellar Grey Matter Morphometry using Structural Magnetic Resonance Imaging
11:50

A Standardized Pipeline for Examining Human Cerebellar Grey Matter Morphometry using Structural Magnetic Resonance Imaging

Published on: February 4, 2022

3.7K

A hierarchical method for whole-brain connectivity-based parcellation.

David Moreno-Dominguez1, Alfred Anwander, Thomas R Knösche

  • 1Research Group "Cortical Networks and Cognitive Functions," Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.

Human Brain Mapping
|April 18, 2014
PubMed
Summary
This summary is machine-generated.

Hierarchical clustering offers a novel approach to whole-brain parcellation using diffusion magnetic resonance imaging (dMRI). This method reveals brain connectivity across all scales, providing a more comprehensive map of brain organization.

Keywords:
connectomedendrogramdiffusion MRIhierarchical clusteringtractographywhole-brain parcellation

More Related Videos

Neuroimaging-Guided TMS–EEG for Real-Time Cortical Network Mapping
09:55

Neuroimaging-Guided TMS–EEG for Real-Time Cortical Network Mapping

Published on: June 13, 2025

3.0K
Modeling the Functional Network for Spatial Navigation in the Human Brain
05:55

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

1.7K

Related Experiment Videos

Last Updated: May 1, 2026

A Standardized Pipeline for Examining Human Cerebellar Grey Matter Morphometry using Structural Magnetic Resonance Imaging
11:50

A Standardized Pipeline for Examining Human Cerebellar Grey Matter Morphometry using Structural Magnetic Resonance Imaging

Published on: February 4, 2022

3.7K
Neuroimaging-Guided TMS–EEG for Real-Time Cortical Network Mapping
09:55

Neuroimaging-Guided TMS–EEG for Real-Time Cortical Network Mapping

Published on: June 13, 2025

3.0K
Modeling the Functional Network for Spatial Navigation in the Human Brain
05:55

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

1.7K

Area of Science:

  • Neuroscience
  • Neuroimaging
  • Computational Neuroscience

Background:

  • Brain function is understood to rely on complex networks and connectivity.
  • Diffusion magnetic resonance imaging (dMRI) and tractography are used to map brain areas.
  • Current methods for brain parcellation are limited in scope and granularity.

Purpose of the Study:

  • To develop a novel method for whole-brain parcellation that overcomes limitations of existing approaches.
  • To represent brain structure at all levels of granularity.
  • To enable comparisons of brain structure similarity across subjects.

Main Methods:

  • Applied hierarchical clustering to dMRI data for whole-brain parcellation.
  • Developed an optimal tree building and processing pipeline for hierarchical data.
  • Utilized dendrograms to encode structural information at multiple scales.

Main Results:

  • Hierarchical clustering successfully generated whole-brain parcellations.
  • The method encodes structural information across all granularity levels in a hierarchical tree.
  • The approach allows for the extraction of parcellations and comparison of structural similarity.

Conclusions:

  • Hierarchical clustering provides a more exhaustive representation of brain structure than traditional methods.
  • This novel approach effectively addresses the challenge of whole-brain parcellation.
  • The method facilitates detailed analysis of brain connectivity and organization.