Brain imaging signatures in amyotrophic lateral sclerosis: Correlation with peripheral motor degeneration

Ann Clin Transl Neurol. 2023 Aug;10(8):1456-1466. doi: 10.1002/acn3.51835. Epub 2023 Jun 20.

Abstract

Objective: This study aimed to explore the clinical significance of brain imaging signatures in the context of clinical neurological deficits in association with upper and lower motor neuron degeneration in amyotrophic lateral sclerosis (ALS).

Methods: We performed brain MRI examinations to quantitatively evaluate (1) gray matter volume and (2) white matter tract fractional anisotropy (FA), axial diffusivity (AD), radial diffusivity (RD), and mean diffusivity (MD). Image-derived indices were correlated with (1) global neurological deficits of MRC muscle strength sum score, revised amyotrophic lateral sclerosis functional rating scale (ALSFRS-R), and forced vital capacity (FVC), and (2) focal scores of University of Pennsylvania Upper motor neuron score (Penn score) and the summation of compound muscle action potential Z scores (CMAP Z sum score).

Results: There were 39 ALS patients and 32 control subjects matched for age and gender. Compared to controls, ALS patients had a lower gray matter volume in the precentral gyrus of the primary motor cortex, which was correlated with FA of corticofugal tracts. The gray matter volume of the precentral gyrus was correlated with FVC, MRC sum score, and CMAP Z sum score, while the FA of the corticospinal tract was linearly associated with CMAP Z sum score and Penn score on multivariate linear regression model.

Interpretation: This study indicated that clinical assessment of muscle strength and routine measurements on nerve conduction studies provided surrogate markers of brain structural changes for ALS. Furthermore, these findings suggested parallel involvement of both upper and lower motor neurons in ALS.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Amyotrophic Lateral Sclerosis* / diagnostic imaging
  • Brain / diagnostic imaging
  • Diffusion Tensor Imaging / methods
  • Humans
  • Magnetic Resonance Imaging
  • Neuroimaging

Grants and funding

This work was funded by Ministry of Science and Technology, Taiwan grants 109‐2314‐B‐002‐031‐MY3, 110‐2320‐B‐002‐072, and 111‐2320‐B‐002‐079; National Science and Technology Council, Taiwan grant NSTC111‐2634‐F‐002‐017.