Unknown

Dataset Information

Network spreading and local biological vulnerability in amyotrophic lateral sclerosis.


ABSTRACT: Amyotrophic Lateral Sclerosis (ALS) is a progressive neurodegenerative disease that predominantly targets the motor system. Spread of pathology is thought to be driven by both local vulnerability and network architecture. Namely, molecular and cellular features may confer vulnerability to specific neuronal populations, while synaptic contacts may also increase exposure to pathology in connected neuronal populations. However, these principles are typically studied in isolation and it remains unknown how local vulnerability and network spreading interact to shape cortical atrophy. Here, we investigate how network structure and local biological features shape the spatial patterning of atrophy in ALS. We analyze the Canadian ALS Neuroimaging Consortium (CALSNIC) dataset and estimate cortical a

SUBMITTER: Farahani A 

PROVIDER: S-EPMC12322078 | biostudies-literature | 2025 Aug

REPOSITORIES: biostudies-literature