Potential of neuroimaging as a biomarker in amyotrophic lateral sclerosis: from structure to metabolism

J Neurol. 2024 May;271(5):2238-2257. doi: 10.1007/s00415-024-12201-x. Epub 2024 Feb 17.

Abstract

Amyotrophic lateral sclerosis (ALS) is a progressive neurodegenerative disease characterized by motor neuron degeneration. The development of ALS involves metabolite alterations leading to tissue lesions in the nervous system. Recent advances in neuroimaging have significantly improved our understanding of the underlying pathophysiology of ALS, with findings supporting the corticoefferent axonal disease progression theory. Current studies on neuroimaging in ALS have demonstrated inconsistencies, which may be due to small sample sizes, insufficient statistical power, overinterpretation of findings, and the inherent heterogeneity of ALS. Deriving meaningful conclusions solely from individual imaging metrics in ALS studies remains challenging, and integrating multimodal imaging techniques shows promise for detecting valuable ALS biomarkers. In addition to giving an overview of the principles and techniques of different neuroimaging modalities, this review describes the potential of neuroimaging biomarkers in the diagnosis and prognostication of ALS. We provide an insight into the underlying pathology, highlighting the need for standardized protocols and multicenter collaborations to advance ALS research.

Keywords: Amyotrophic lateral sclerosis; Biomarker; Diffusion tensor imaging; Magnetic resonance imaging; Motor neuron disease.

Publication types

  • Review

MeSH terms

  • Amyotrophic Lateral Sclerosis* / diagnostic imaging
  • Amyotrophic Lateral Sclerosis* / metabolism
  • Biomarkers* / metabolism
  • Brain / diagnostic imaging
  • Brain / metabolism
  • Humans
  • Neuroimaging* / methods
  • Neuroimaging* / standards

Substances

  • Biomarkers