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Magnetic Resonance Imaging

Magnetic Resonance Imaging

Magnetic resonance imaging (MRI) is a noninvasive medical imaging technique based on a phenomenon of nuclear physics discovered in the 1930s, in which matter exposed to magnetic fields and radio waves was found to emit radio signals. In 1970, a physician and researcher named Raymond Damadian noticed that malignant (cancerous) tissue gave off different signals than normal body tissue. He applied for a patent for the first MRI scanning device in clinical use by the early 1980s. The early MRI...

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Updated: May 21, 2025

Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases

Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases

Published on: July 28, 2013

Fasciculation distribution in a healthy population assessed with diffusion tensor imaging.

Linda Heskamp¹, Lara Schlaffke², Johannes Forsting²

¹Center for Image Sciences, Precision Imaging Group, Division Imaging & Oncology, University Medical Centre Utrecht, Utrecht, The Netherlands.

Physiological Reports

|March 22, 2025

Summary

Diffusion tensor imaging (DTI) can detect muscle fasciculations, similar to motor unit MRI (MUMRI). Fasciculations are more common and larger in lower legs of healthy individuals, with consistent distribution over time.

Keywords:

diffusion tensor imaging fasciculation magnetic resonance imaging motor unit skeletal muscle

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Last Updated: May 21, 2025

Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases

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Area of Science:

Neuroimaging
Musculoskeletal MRI
Neurology

Background:

Fasciculations are common in motor neuron diseases but also occur in healthy individuals.
Understanding fasciculation intensity and distribution is crucial.
Motor unit MRI (MUMRI) can assess fasciculations but is not widely used.

Purpose of the Study:

To evaluate if diffusion tensor imaging (DTI) can detect fasciculations.
To compare DTI's sensitivity and precision with MUMRI.
To determine fasciculation intensity and distribution in healthy individuals' lower extremities.

Main Methods:

Systematic comparison of MUMRI and DTI in upper leg muscles of healthy subjects (n=5).
Retrospective analysis of fasciculation intensity and distribution in lower extremity muscles of healthy subjects (n=30) using DTI.
Correction for low signal-to-noise ratios and signal variability in DTI.

Main Results:

DTI demonstrated comparable sensitivity (75%) and precision (80%) to MUMRI.
Fasciculations were more prevalent and larger in lower legs than upper legs of healthy subjects.
Fasciculation distribution remained consistent over an 8-month period.

Conclusions:

Muscle DTI is a viable method for detecting fasciculations.
DTI enables retrospective analysis of fasciculations in existing MRI datasets.
DTI may reduce the need for dedicated MUMRI studies when already acquired.