Abnormal characteristic static and dynamic functional network connectivity in idiopathic normal pressure hydrocephalus

• Published in: CNS neuroscience & therapeutics Vol. 30; no. 3; pp. e14178 - n/a
• Main Authors: Huang, Wenjun, Fang, Xuhao, Li, Shihong, Mao, Renling, Ye, Chuntao, Liu, Wei, Deng, Yao, Lin, Guangwu
• Format: Journal Article
• Language: English
• Published: England John Wiley & Sons, Inc 01.03.2024; John Wiley and Sons Inc
• Subjects: Alzheimer's disease; Biomarkers; Clustering; Correlation analysis; Dementia disorders; Disease; dynamic; functional network connectivity; Gender; Hydrocephalus; idiopathic normal pressure hydrocephalus; independent component analysis; Movement disorders; Neural networks; Neurodegenerative diseases; Original; resting‐state functional magnetic resonance imaging; Software; static; Surgery; Time series; resting-state functional magnetic resonance imaging; independent component analysis; dynamic; static; functional network connectivity; idiopathic normal pressure hydrocephalus

Aims Idiopathic Normal pressure hydrocephalus (iNPH) is a neurodegenerative disease characterized by gait disturbance, dementia, and urinary dysfunction. The neural network mechanisms underlying this phenomenon is currently unknown. Methods To investigate the resting‐state functional connectivity (r...