Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

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

[Taalmodellen grijpen altijd in].

Tijdschrift voor psychiatrie·2026

Same author

Reliability and state-dependency of EEG connectivity, complexity and network characteristics.

Scientific reports·2025

Same author

[On the future of prediction modeling for precision psychiatry].

Tijdschrift voor psychiatrie·2025

Same author

Single-channel qEEG characteristics distinguish delirium from no delirium, but not postoperative from non-postoperative delirium.

Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology·2024

Same author

[Electroencephalography and connectivity in delirium].

Tijdschrift voor psychiatrie·2024

Same author

[Resting state-EEG connectivity and machine learning: towards improved treatment response predictions in psychiatry].

Tijdschrift voor psychiatrie·2024

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

Search research articles

Related Experiment Video

Updated: Apr 20, 2026

Modeling the Functional Network for Spatial Navigation in the Human Brain

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

The minimum spanning tree: an unbiased method for brain network analysis.

P Tewarie¹, E van Dellen², A Hillebrand³

¹Department of Neurology, VU University Medical Center, Amsterdam, The Netherlands.

|December 3, 2014

Summary

This summary is machine-generated.

The minimum spanning tree (MST) offers an unbiased method for brain network analysis, overcoming limitations of traditional graph theory approaches. MST characteristics effectively capture network topology changes, enhancing comparability across studies.

Keywords:

Complex brain networks Connectivity Functional and structural networks Graph theory Minimum spanning tree

More Related Videos

Network Analysis of the Default Mode Network Using Functional Connectivity MRI in Temporal Lobe Epilepsy

Network Analysis of the Default Mode Network Using Functional Connectivity MRI in Temporal Lobe Epilepsy

Published on: August 5, 2014

Soft Pneumatic Robot Modulates Graph Theory Metrics of Brain Network for Hand Rehabilitation After Stroke

Soft Pneumatic Robot Modulates Graph Theory Metrics of Brain Network for Hand Rehabilitation After Stroke

Published on: October 10, 2025

Related Experiment Videos

Last Updated: Apr 20, 2026

Modeling the Functional Network for Spatial Navigation in the Human Brain

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

Network Analysis of the Default Mode Network Using Functional Connectivity MRI in Temporal Lobe Epilepsy

Network Analysis of the Default Mode Network Using Functional Connectivity MRI in Temporal Lobe Epilepsy

Published on: August 5, 2014

Soft Pneumatic Robot Modulates Graph Theory Metrics of Brain Network for Hand Rehabilitation After Stroke

Soft Pneumatic Robot Modulates Graph Theory Metrics of Brain Network for Hand Rehabilitation After Stroke

Published on: October 10, 2025

Area of Science:

Neuroscience
Network Science
Graph Theory

Background:

Brain networks are increasingly analyzed using graph theory to understand topology.
Contradictory findings in current studies highlight limitations in characterizing brain network organization.
The minimum spanning tree (MST) is proposed to improve comparability by addressing methodological issues.

Purpose of the Study:

To evaluate the utility of MST in brain network analysis.
To determine if MST characteristics are insensitive to connection strength and link density.
To compare the sensitivity of MST measures with conventional network measures.

Main Methods:

Simulated regular and scale-free networks were gradually rewired to random networks.
MSTs were constructed from these networks, and their characteristics were analyzed.
MST characteristics (diameter, leaf fraction, degree) were compared with conventional graph theoretical measures.

Main Results:

MST analysis demonstrated insensitivity to alterations in connection strength or link density.
MST characteristics were found to be equally sensitive to topological changes as conventional measures.
MST diameter and leaf fraction strongly correlated with characteristic path length changes during network rewiring.

Conclusions:

MST analysis provides an unbiased approach for brain network comparison, avoiding methodological biases.
Despite discarding connections, MST characteristics offer valuable topological information comparable to conventional measures.
MST analysis is a promising tool for advancing the understanding of brain network organization and comparability.