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

Spinal Cord: Cross-sectional Anatomy

Spinal Cord: Cross-sectional Anatomy

The cross-sectional anatomy of the spinal cord offers a detailed view of its complex structure and function within the central nervous system. At the core of the spinal cord lies the gray matter, characterized by its butterfly or "H"-shaped appearance in cross-section. This central region is enveloped by white matter, with the overall structure divided into symmetrical halves by the dorsal median sulcus and the ventral median fissure.
Gray Matter and its Components
Central to the gray matter is...

You might also read

Related Articles

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

Sort by

Same author

A combination of ketones and NAD<sup>+</sup> precursor preserves white matter integrity in mild cognitive impairment.

Alzheimer's & dementia (New York, N. Y.)·2026

Same author

Language laterality and cognitive skills: does anatomy matter?

Cerebral cortex (New York, N.Y. : 1991)·2026

Same author

Automated Segmentation of Brainstem and Subcortical White Matter: Mapping the Deep Tegmental Core with BundleParc.

bioRxiv : the preprint server for biology·2026

Same author

Disentangling crossing fibers with advanced dMRI methods reveals bundle-specific degeneration across the visual system in asymmetric glaucoma.

PloS one·2026

Same author

Thalamic Structural Connectivity and Cognitive Outcome in the Subacute Period Following Mild Traumatic Brain Injury.

Journal of neurotrauma·2026

Same author

A Multi-Subject Tractography Atlas of Human Cerebellar Connections.

Research square·2026

Same journal

ContiMorph: An unsupervised learning framework for cardiac motion tracking with time-continuous diffeomorphism.

Medical image analysis·2026

Same journal

MedP-CLIP: Medical CLIP with region-aware prompt integration.

Medical image analysis·2026

Same journal

Multi-organ guided diagnosis of mild cognitive impairment via hierarchical alignment and knowledge distillation.

Medical image analysis·2026

Same journal

SUDA: Simultaneous unsupervised knowledge distillation and adaptation of foundation models for efficient pathological image analysis.

Medical image analysis·2026

Same journal

Beyond the LUMIR challenge: The pathway to foundational registration models.

Medical image analysis·2026

Same journal

Annotation-efficient medical image segmentation via cross-latent graphs and vector-quantized memory.

Medical image analysis·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Apr 28, 2026

DTI of the Visual Pathway - White Matter Tracts and Cerebral Lesions

DTI of the Visual Pathway - White Matter Tracts and Cerebral Lesions

Published on: August 26, 2014

BundleParc: Consistent white matter bundle parcellation without tractography.

Antoine Théberge¹, Zineb El Yamani², Muhamed Barakovic³

¹Videos & Images Theory and Analytics Laboratory (VITAL), Faculté des Sciences, Université de Sherbrooke, 2500 Bd. de l'Université, Sherbrooke, J1K2R1, QC, Canada; Sherbrooke Connectivity and Imaging Lab (SCIL), Faculté des Sciences, Université de Sherbrooke, 2500 Bd. de l'Université, Sherbrooke, J1K2R1, QC, Canada.

Medical Image Analysis

|April 26, 2026

Summary

This summary is machine-generated.

BundleParc offers a new, simpler method for white matter (WM) bundle parcellation. This tractography-free approach improves accuracy and reproducibility in neuroimaging studies.

Keywords:

Deep learning Diffusion MRI Tractography Tractometry

More Related Videos

Fiber Connections of the Supplementary Motor Area Revisited: Methodology of Fiber Dissection, DTI, and Three Dimensional Documentation

Fiber Connections of the Supplementary Motor Area Revisited: Methodology of Fiber Dissection, DTI, and Three Dimensional Documentation

Published on: May 23, 2017

Measuring Connectivity in the Primary Visual Pathway in Human Albinism Using Diffusion Tensor Imaging and Tractography

Measuring Connectivity in the Primary Visual Pathway in Human Albinism Using Diffusion Tensor Imaging and Tractography

Published on: August 11, 2016

Related Experiment Videos

Last Updated: Apr 28, 2026

DTI of the Visual Pathway - White Matter Tracts and Cerebral Lesions

DTI of the Visual Pathway - White Matter Tracts and Cerebral Lesions

Published on: August 26, 2014

Fiber Connections of the Supplementary Motor Area Revisited: Methodology of Fiber Dissection, DTI, and Three Dimensional Documentation

Fiber Connections of the Supplementary Motor Area Revisited: Methodology of Fiber Dissection, DTI, and Three Dimensional Documentation

Published on: May 23, 2017

Measuring Connectivity in the Primary Visual Pathway in Human Albinism Using Diffusion Tensor Imaging and Tractography

Measuring Connectivity in the Primary Visual Pathway in Human Albinism Using Diffusion Tensor Imaging and Tractography

Published on: August 11, 2016

Area of Science:

Neuroimaging
White Matter Anatomy
Computational Neuroscience

Background:

Tractometry analyzes microstructural properties of white matter (WM) tracts.
Accurate white matter bundle parcellation is crucial for tractometry.
Current methods are inconsistent, computationally expensive, and lack reproducibility.

Purpose of the Study:

Introduce BundleParc, a novel, tractography-free bundle parcellation method.
Develop a consistent, accurate, and reproducible parcellation technique.
Simplify and enhance the utility of white matter bundle segmentation.

Main Methods:

BundleParc directly maps fiber orientation distribution function (fODF) volumes to label maps.
Avoids computationally intensive streamline generation and tractography.
Utilizes a direct mapping approach for parcellation.

Main Results:

BundleParc demonstrates superior accuracy, robustness, and reproducibility compared to state-of-the-art methods.
The method is significantly simpler and faster than existing tract-based profiling techniques.
Evaluations on research and clinical cohorts confirm its effectiveness.

Conclusions:

BundleParc provides a consistent and tractography-free solution for bundle parcellation.
It offers a significant advancement for reproducible and efficient white matter analysis.
The method is suitable for fast, easy-to-use, off-the-shelf bundle segmentation.