Revisiting distinct nerve excitability patterns in patients with amyotrophic lateral sclerosis.

Amyotrophic lateral sclerosis is a devastating neurodegenerative disease, characterized by loss of central and peripheral motor neurones. Although the disease is clinically and genetically heterogeneous, axonal hyperexcitability is a commonly observed feature that has been suggested to reflect an early pathophysiological step linked to the neurodegenerative cascade. Therefore, it is important to clarify the mechanisms causing axonal hyperexcitability and how these relate to the clinical characteristics of patients. Measures derived directly from a nerve excitability recording are frequently used as study endpoints, even though their biophysical basis is difficult to deduce. Mathematical models can aid in the interpretation, but are only reliable when applied to group-averaged recordings. Consequently, model estimates of membrane properties cannot be compared to clinical characteristics or treatment effects in individual patients, posing a considerable limitation in heterogeneous diseases such as amyotrophic lateral sclerosis. To address these challenges, we revisited nerve excitability using a novel pattern-analysis-based approach (principal component analysis). We evaluated disease-specific patterns of excitability changes and established their biophysical origins. Based on the observed patterns, we developed novel compound measures of excitability that facilitate the implementation of this approach in clinical settings We found that excitability changes in amyotrophic lateral sclerosis patients (n = 161, median disease duration = 11 months) were characterized by four unique patterns compared to controls (n = 50, age-gender matched). These four patterns were best explained by changes in resting membrane potential (modulated by Na+/K + -currents), slow potassium- and sodium-currents (modulated by their gating kinetics) and refractory properties of the nerve. Consequently, we were able to show that altered gating of slow potassium-channels was associated with, and predictive of, the disease's progression rate on the amyotrophic lateral sclerosis functional rating scale. Based on these findings, we designed four composite measures that capture these properties to facilitate implementation outside of this study. Our findings demonstrate that nerve excitability changes in patients with amyotrophic lateral sclerosis are dominated by four distinct patterns, each with a distinct biophysical origin. Based on this new approach, we provide evidence that altered slow potassium-channel function may play a role in the rate of disease progression. The magnitudes of these patterns, quantified using either a similar approach or our novel composite measures, have potential as efficient measures to study membrane properties directly in amyotrophic lateral sclerosis patients, and thus aid prognostic stratification and trial design.