ReviewJournal of neurology2025
Neurophysiological biomarkers of networks impairment in amyotrophic lateral sclerosis.
Review in Journal of neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
1 citing paper in PubMed.
- Review
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Amyotrophic lateral sclerosis (ALS) is a heterogeneous disease involving motor system as well as cognitive domains. There is an urgent need for objective biomarkers that can subcategorize subjects into homogeneous groups based on disease pathobiology.In this review, we discuss novel neurophysiological techniques that provide detailed, multiscale and multidimensional insights into ALS networks impairment, spanning from the micro-columnar architecture of the motor cortex to motor and cognitive networks. Specifically, Transcranial Magnetic Stimulation (TMS) paradigms can be used to evaluate the status of excitatory and inhibitory networks within the layers of the motor cortex. Abnormalities in functional connectivity between the two motor areas, as well as within the frontal-temporal and frontal parietal networks, can be characterized using novel source-localization analysis of high-density electroencephalography (EEG). TMS and EEG techniques provide data that correlate with both motor and cognitive impairment. Furthermore, cortico-muscular coherence analysis can be used to assess functional dysregulation within the entire motor system, and novel surface electromyography (EMG) techniques, such as motor unit number estimation, motor unit number index, and nerve excitability testing studies provide useful insights into axonal loss and membrane ion channel dysfunctions in lower motor neurons.The integrated analysis of these biomarkers provides valuable insights into the clinical and biologic heterogeneity of the disease, aiding the intelligent design of next generation precision-based therapeutics.
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Identifiers
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.