Fasciculation distribution in a healthy population assessed with diffusion tensor imaging

Fasciculations, a hallmark of motor neuron diseases, also occur in healthy individuals, highlighting the need to understand fasciculation intensity and distribution. Motor unit MRI (MUMRI) can assess fasciculations in large volumes but is not widely applied. We hypothesize that a more common MRI technique, diffusion tensor imaging (DTI), can also detect fasciculation when correcting for low signal-to-noise ratios and signal variability. We first systematically compared MUMRI and DTI in upper leg muscles of healthy subjects (n = 5). Secondly, we retrospectively determined fasciculation intensity and distribution in lower extremity muscles of 30 healthy subjects using DTI (n = 30). DTI and MUMRI had comparable sensitivity (75%) and precision (80%) to expert reviews. In our healthy cohort, fasciculations were more prevalent in the lower legs than upper legs (13.9 ± 11.5% vs. 9.8 ± 6.3%, p = 0.011), particularly in the soleus (9.3 ± 8.1%). This effect persisted after normalizing for muscle volume (7.2 ± 5.1%/dm<sup>3</sup> vs. 2.9 ± 1.8%/dm<sup>3</sup>, p < 0.001). Lower leg fasciculations were larger compared to upper leg fasciculations (0.81 ± 0.31 cm<sup>3</sup> vs. 0.54 ± 0.15 cm<sup>3</sup>, p < 0.001). Longitudinal analysis showed consistent fasciculation distribution over 8 months (n = 13, ICC = 0.803). In conclusion, muscle DTI detects fasciculations in all lower extremity muscles, enabling retrospective analysis of existing datasets and reducing the need for prospective MUMRI studies if muscle DTI is already acquired.

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Journal
Physiological Reports
Published
2025-03-01
DOI
https://doi.org/10.14814/phy2.70247
Citations
1
Primary Topic
Advanced Neuroimaging Techniques and Applications
Type
article
Field-Weighted Citation Impact
1.36

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article

Fasciculation distribution in a healthy population assessed with diffusion tensor imaging

H. Stephan Goedee, Johannes Forsting, Boudewijn T.H.M. Sleutjes, Linda Heskamp et al.
1 citations
Physiological Reports
Advanced Neuroimaging Techniques and Applications
1.36
article

Fasciculation distribution in a healthy population assessed with diffusion tensor imaging

H. Stephan Goedee, Johannes Forsting, Boudewijn T.H.M. Sleutjes, Linda Heskamp, Martijn Froeling, Lara Schlaffke
article en
1 citations

Abstract

Fasciculations, a hallmark of motor neuron diseases, also occur in healthy individuals, highlighting the need to understand fasciculation intensity and distribution. Motor unit MRI (MUMRI) can assess fasciculations in large volumes but is not widely applied. We hypothesize that a more common MRI technique, diffusion tensor imaging (DTI), can also detect fasciculation when correcting for low signal-to-noise ratios and signal variability. We first systematically compared MUMRI and DTI in upper leg muscles of healthy subjects (n = 5). Secondly, we retrospectively determined fasciculation intensity and distribution in lower extremity muscles of 30 healthy subjects using DTI (n = 30). DTI and MUMRI had comparable sensitivity (75%) and precision (80%) to expert reviews. In our healthy cohort, fasciculations were more prevalent in the lower legs than upper legs (13.9 ± 11.5% vs. 9.8 ± 6.3%, p = 0.011), particularly in the soleus (9.3 ± 8.1%). This effect persisted after normalizing for muscle volume (7.2 ± 5.1%/dm<sup>3</sup> vs. 2.9 ± 1.8%/dm<sup>3</sup>, p < 0.001). Lower leg fasciculations were larger compared to upper leg fasciculations (0.81 ± 0.31 cm<sup>3</sup> vs. 0.54 ± 0.15 cm<sup>3</sup>, p < 0.001). Longitudinal analysis showed consistent fasciculation distribution over 8 months (n = 13, ICC = 0.803). In conclusion, muscle DTI detects fasciculations in all lower extremity muscles, enabling retrospective analysis of existing datasets and reducing the need for prospective MUMRI studies if muscle DTI is already acquired.

Physiological ReportsVol. 13(6)
University Medical Center Utrecht (NL), BG University Hospital Bergmannsheil Bochum (DE)
Sanofi, Nederlandse Organisatie voor Wetenschappelijk Onderzoek
Good health and well-being
Openalex Percentile: Top 22%
Advanced Neuroimaging Techniques and Applications
1.36
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