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

Nervous Tissue: Myelin

Nervous Tissue: Myelin

The myelin sheath is a multilayered lipid and protein covering that insulates the axon of a neuron, enhancing the speed of nerve impulse conduction. Axons without this sheath are referred to as unmyelinated. Two types of neuroglia, Schwann cells in the peripheral nervous system (PNS) and oligodendrocytes in the central nervous system (CNS) are responsible for producing myelin sheaths.
Schwann cells begin to form myelin sheaths around axons during fetal development. They wrap around a small...

You might also read

Related Articles

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

Sort by

Same author

Frame-wise multi-echo distortion correction for superior functional MRI.

Imaging neuroscience (Cambridge, Mass.)·2026

Same author

Predictive acoustical processing in human cortical layers.

Nature communications·2026

Same author

An 80-channel receive array for 10.5T neuroimaging: Key considerations for SNR optimization.

bioRxiv : the preprint server for biology·2026

Same author

Functional MRI of the Human Hippocampus at 10.5T: Pushing the Boundaries of Spatial Resolution.

bioRxiv : the preprint server for biology·2026

Same author

Bridging the gap with invasive imaging: promises and challenges of a new generation of ultrahigh resolution fMRI.

bioRxiv : the preprint server for biology·2026

Same author

Neural response to reward uncertainty in adolescents with mood and anxiety symptoms.

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

Search research articles

Related Experiment Video

Updated: Mar 26, 2026

Preparation and Immunostaining of Myelinating Organotypic Cerebellar Slice Cultures

Preparation and Immunostaining of Myelinating Organotypic Cerebellar Slice Cultures

Published on: March 20, 2019

Human habenula segmentation using myelin content.

Joo-Won Kim¹, Thomas P Naidich², Benjamin A Ely³

¹Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.

|January 31, 2016

Summary

This summary is machine-generated.

Researchers developed a new semi-automated method to segment the human habenula (a small brain structure) using myelin-sensitive MRI. This technique improves visualization and aids in studying brain reward circuitry.

Keywords:

Geometric constraints Habenula Myelin map Myelin-sensitive image Partial volume estimation Region growing Subcortical segmentation

More Related Videos

Experimental Demyelination and Remyelination of Murine Spinal Cord by Focal Injection of Lysolecithin

Experimental Demyelination and Remyelination of Murine Spinal Cord by Focal Injection of Lysolecithin

Published on: March 26, 2015

From Voxels to Knowledge: A Practical Guide to the Segmentation of Complex Electron Microscopy 3D-Data

From Voxels to Knowledge: A Practical Guide to the Segmentation of Complex Electron Microscopy 3D-Data

Published on: August 13, 2014

Related Experiment Videos

Last Updated: Mar 26, 2026

Preparation and Immunostaining of Myelinating Organotypic Cerebellar Slice Cultures

Preparation and Immunostaining of Myelinating Organotypic Cerebellar Slice Cultures

Published on: March 20, 2019

Experimental Demyelination and Remyelination of Murine Spinal Cord by Focal Injection of Lysolecithin

Experimental Demyelination and Remyelination of Murine Spinal Cord by Focal Injection of Lysolecithin

Published on: March 26, 2015

From Voxels to Knowledge: A Practical Guide to the Segmentation of Complex Electron Microscopy 3D-Data

From Voxels to Knowledge: A Practical Guide to the Segmentation of Complex Electron Microscopy 3D-Data

Published on: August 13, 2014

Area of Science:

Neuroimaging
Neuroanatomy
Brain Imaging

Background:

The habenula, a key component of subcortical reward circuitry, is difficult to image in vivo due to its small size and low contrast.
Existing neuroimaging techniques face limitations in accurately segmenting the human habenula.

Purpose of the Study:

To develop an objective, semi-automated segmentation scheme for the human habenula.
To enhance in vivo neuroimaging of the habenula for morphological evaluation and functional MRI applications.

Main Methods:

Developed a semi-automated segmentation scheme using histogram-based thresholding, region growing, geometric constraints, and partial volume estimation.
Utilized in vivo 3 Tesla (T) myelin-sensitive magnetic resonance imaging (MRI) (T1w/T2w ratio images).
Validated the method with in vivo 7 T myelin-sensitive images, ex vivo images, and histological data.

Main Results:

The proposed segmentation scheme effectively segmented the habenula using myelin-sensitive 3 T MRI.
Myelin-sensitive images showed significantly higher contrast-to-noise ratio for the habenula compared to T1w or T2w images alone.
The method demonstrated strong corroboration with higher field strength imaging and histological evidence.

Conclusions:

The developed semi-automated segmentation scheme offers a scalable approach for objective habenula segmentation.
This method improves the morphological evaluation and seed region selection for functional and diffusion MRI studies of the habenula.
The technique addresses limitations in in vivo human habenula neuroimaging.