Computational modelling accurately predicts disease progression and survival times in patients with amyotrophic lateral sclerosis (ALS).
Why this matters
In ALS, white matter impairment spreads from the primary motor regions to other brain regions in a progressive way leading to network integrity changes.
Researchers have used brain network analyses in neurodegenerative diseases to predict progression; however, this has not yet been applied in ALS.
Computational modelling based on brain white matter connection patterns may be useful in predicting staging, progression and survival in ALS.