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

The genetic landscape of human functional brain connectivity.

Nature communications·2026

Same author

Rare-variant aggregation highlights disease-linked genes associated with brain volume variation.

American journal of human genetics·2026

Same author

Investigating the methodological foundation of lesion network mapping.

Nature neuroscience·2026

Same author

Network-based analysis of differential white matter connectivity in major depressive disorder with and without comorbid anxiety.

Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology·2026

Same author

Structural connectomic signatures of childhood maltreatment across affective and psychotic disorders.

European neuropsychopharmacology : the journal of the European College of Neuropsychopharmacology·2025

Same author

The emergence of genetic variants linked to brain and cognitive traits in human evolution.

Cerebral cortex (New York, N.Y. : 1991)·2025

Same journal

Lifespan Trajectories of the Brain's Functional Complexity Characterized by Multiscale Sample Entropy.

NeuroImage·2026

Same journal

Pleasant fragrance modulates dyadic social sharing of positive emotion: Sharer-centered socioemotional enhancement effect and its neural couplings.

NeuroImage·2026

Same journal

Altered Functional Hierarchical and Sequential Organization in Individuals with Schizophrenia during Auditory Processing.

NeuroImage·2026

Same journal

Mechanical Deformation Explains Distinct Neuroimaging Patterns and Etiologies in Brain Trauma.

NeuroImage·2026

Same journal

Ventral striatum temporal interference brain stimulation enhances the reward-positivity event-related potential and reduces anxiety.

NeuroImage·2026

Same journal

NeuroHarm‑Kit: An Open‑Source Toolbox for Benchmarking Deep‑Learning Harmonization of Multi‑Site T1‑Weighted MRI.

NeuroImage·2026

See all related articles

Search research articles

Related Experiment Video

Updated: May 12, 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 parcellation-based connectome: limitations and extensions.

Marcel A de Reus¹, Martijn P van den Heuvel

¹Department of Psychiatry, Rudolf Magnus Institute, University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands. m.a.dereus-4@umcutrecht.nl

|April 6, 2013

Summary

This summary is machine-generated.

Brain parcellation is key for mapping the human connectome. While network principles are robust, quantitative measures depend on the chosen parcellation method and resolution for accurate brain network analysis.

Keywords:

Brain network Connectivity Connectome Graph analysis Parcellation Spatial resolution

More Related Videos

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

Published on: November 8, 2012

3D Scanning Technology Bridging Microcircuits and Macroscale Brain Images in 3D Novel Embedding Overlapping Protocol

3D Scanning Technology Bridging Microcircuits and Macroscale Brain Images in 3D Novel Embedding Overlapping Protocol

Published on: May 12, 2019

Related Experiment Videos

Last Updated: May 12, 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

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

Published on: November 8, 2012

3D Scanning Technology Bridging Microcircuits and Macroscale Brain Images in 3D Novel Embedding Overlapping Protocol

3D Scanning Technology Bridging Microcircuits and Macroscale Brain Images in 3D Novel Embedding Overlapping Protocol

Published on: May 12, 2019

Area of Science:

Neuroscience
Network Science
Computational Biology

Background:

The human connectome, a network of structural and functional interactions, underlies integrative brain function.
Macroscopic mapping of the connectome requires subdividing the brain into large-scale regions through parcellation.
Existing parcellation methods include anatomical templates, random templates, and voxel-based divisions.

Purpose of the Study:

To review parcellation approaches for examining human connectome characteristics.
To address the impact of parcellation scheme and resolution on brain network topology and spatial features.
To guide future connectome studies in selecting appropriate parcellation strategies.

Main Methods:

Review of existing literature on brain parcellation techniques.
Analysis of how different parcellation schemes affect network metrics.
Discussion of the influence of parcellation resolution on connectome analysis.

Main Results:

Organizational principles of functional and structural brain networks are largely independent of the parcellation approach.
Quantitative network measures can be significantly modulated by the choice of parcellation scheme and resolution.
The selection of parcellation strategy impacts the estimation of topological and spatial network features.

Conclusions:

Parcellation is a critical step in macroscopic connectome examination.
While core network principles remain consistent, quantitative findings are sensitive to parcellation choices.
Future research should explore advanced network tools and connectivity-based parcellation for improved connectome studies.