News | Pediatric Imaging | May 09, 2016

Study uses two MRI techniques to assess size of nerve fibers and myelin thickness

MRI, children, brain imaging, myelin, NeuroImage, Waisman Center study

May 9, 2016 — A recent study combined two related but different imaging techniques to non-invasively track the rate at which nerve fibers in children’s brains become wrapped in myelin.

Much like electricity traveling down wires, nerve impulses in our brain travel along nerve fibers. And just as wires need insulation to function well, nerve fibers, too, rely on a kind of insulation called myelin, a fatty substance that protects them and increases the speed at which nerve impulses travel.

At birth, the human brain contains very little myelin but it increases quickly throughout childhood. Many researchers think our ability to learn quickly and process large amounts of information as children is directly related to the rapid myelination of our nerve fibers, yet scientists don’t fully understand this process.

The study was led by Doug Dean III of the Waisman Center at the University of Wisconsin-Madison and published in the journal NeuroImage.

“Having a non-invasive way to quantitatively map the thickness of myelin sheaths around nerve fibers will help us learn more about how the brain develops and when new nerve connections are made,” said Dean. It could also lead to new findings about diseases like multiple sclerosis and leukodystrophies, in which the myelin sheath is damaged.

Additionally, Dean said, there are several neurodevelopmental disorders with no known causes and “understanding how myelination proceeds in typically developing brains could tell us if these disorders are linked to defects in myelination.”

In general, the thicker the myelin sheath, the quicker the speed of nerve impulses along that nerve fiber. To non-invasively measure the thickness of the myelin sheaths, Dean and his colleagues enhanced and combined two existing techniques that are variations of magnetic resonance imaging (MRI).

MRI has a wide range of medical applications and is often used to image the brain, other organs, and joints and soft tissue. MRI is also the basis of several imaging techniques.

One of the MRI-based techniques used by Dean, called diffusion tensor imaging (DTI), provides highly detailed images of nerve fibers and other structures in the brain. But these images aren’t very helpful for researchers who are trying to determine the thickness of myelin fibers.

Another MRI-based imaging technique, called mcDESPOT, can help researchers estimate how much myelin there is in specific areas of the brain but doesn’t provide a clear picture of other structures that may also be present in those areas.

While each imaging technique provides valuable information, by themselves they paint only a hazy portrait of myelin thickness. By combining these two methods, Dean and his study colleagues were able to not only image nerve fibers and other structures in the brain, they could also calculate the size of these nerve fibers and the amount of myelin surrounding them.

For the study, the researchers captured brain images from several children, ranging in age from around 4 months to more than 7 years, and used the combined techniques to calculate myelin thickness. These measures closely matched what other researchers had predicted using theoretical models.

“That shows the accuracy of our imaging techniques and calculations,” said Dean, though he noted that while the initial results are “very encouraging,” additional studies using animal models or preserved human brains are necessary to further test their findings.

While it could be years before this technology yields new diagnostic or therapeutic approaches, Dean said the study is an important first step toward understanding a vital stage of early human development.

Other authors of the study include Brittany Travers, Nagesh Adluru and Andrew Alexander at UW-Madison; Holly Dirks and Sean Deoni at Brown University; and Jonathan O’Muircheartaigh at King’s College in London.

For more information: www.journals.elsevier.com/neuroimage


Related Content

News | Radiology Business

March 12, 2026 — DelveInsight's has released its latest Diagnostic Imaging Equipment Market Insights report. The in ...

Time March 13, 2026
arrow
Feature | Artificial Intelligence | Kyle Hardner

Once considered an adjunct brain cancer therapy and a last-resort treatment, noninvasive radiosurgery has evolved ...

Time March 09, 2026
arrow
News | Artificial Intelligence

March 2, 2026 — RadNet, Inc. has acquired Gleamer SAS, a radiology AI company based in Paris, France. Gleamer will be ...

Time March 03, 2026
arrow
News | HIMSS

March 3, 2026 — MedDream will present its cloud-native, AI-ready universal DICOM viewer in the Amazon Web Services (AWS) ...

Time March 03, 2026
arrow
News

Feb. 26, 2026 — GE HealthCare and UCSF Health have announced a 10-year Care Alliance collaboration focused on ...

Time March 02, 2026
arrow
News | Remote Viewing Systems

Feb. 26, 2026 — DeepHealth, Inc., a provider of AI-powered health informatics and a wholly owned subsidiary of RadNet ...

Time February 27, 2026
arrow
News | PET Imaging

Feb. 19, 2026 — Positrigo, a Swiss based company developing nuclear medical devices to advance functional brain imaging ...

Time February 26, 2026
arrow
News | Contrast Media

Feb. 23, 2026 — Bracco, a global leader in diagnostic imaging, recently announced that the U.S. Food and Drug ...

Time February 24, 2026
arrow
News | Radiology Imaging

Feb. 12, 2026 — Siemens Healthineers and Mayo Clinic are expanding their strategic collaboration to enhance patient care ...

Time February 13, 2026
arrow
News | ARRS

Feb. 11, 2026 —The American Roentgen Ray Society (ARRS) has announced the following radiologists, as well as their ...

Time February 13, 2026
arrow
Subscribe Now