Disruption of the white matter structural network and its correlation with baseline progression rate in patients with sporadic amyotrophic lateral sclerosis

• Published in: Translational neurodegeneration Vol. 10; no. 1; pp. 35 - 12
• Main Authors: Li, Wenbin, Wei, Qianqian, Hou, Yanbing, Lei, Du, Ai, Yuan, Qin, Kun, Yang, Jing, Kemp, Graham J., Shang, Huifang, Gong, Qiyong
• Format: Journal Article
• Language: English
• Published: England BioMed Central 13.09.2021; BMC
• Subjects: Adult; Amyotrophic lateral sclerosis; Amyotrophic Lateral Sclerosis - diagnostic imaging; Amyotrophic Lateral Sclerosis - physiopathology; Brain; Cognitive ability; Connectomics; Diffusion Magnetic Resonance Imaging - trends; Disease Progression; DTI; Efficiency; Female; Humans; Machine learning; Machine Learning - trends; Magnetic resonance imaging; Male; Middle Aged; Nerve Net - diagnostic imaging; Nerve Net - physiopathology; Network; Neuropsychology; Patients; Software; White matter; White Matter - diagnostic imaging; White Matter - physiopathology; Psychoradiology; Machine learning; Network; DTI; Amyotrophic lateral sclerosis; White matter; Connectomics

There is increasing evidence that amyotrophic lateral sclerosis (ALS) is a progressive neurodegenerative disease impacting large-scale brain networks. However, it is still unclear which structural networks are associated with the disease and whether the network connectomics are associated with disea...