Determining the Hierarchical Architecture of the Human Brain Using Subject-Level Clustering of Functional Networks

• Published in: Scientific reports Vol. 9; no. 1; pp. 19290 - 15
• Main Authors: Akiki, Teddy J., Abdallah, Chadi G.
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 17.12.2019; Nature Publishing Group
• Subjects: 59/36; 59/57; 631/378/3920; 631/477/2811; Adult; Algorithms; Brain; Brain - diagnostic imaging; Brain - physiology; Brain architecture; Cluster Analysis; Connectome; Datasets; Female; Humanities and Social Sciences; Humans; Image Processing, Computer-Assisted; Magnetic Resonance Imaging; Male; Medical imaging; multidisciplinary; Nerve Net - physiology; Neural Pathways - physiology; Neurons - physiology; Physiology; Science; Science (multidisciplinary); Time series

Optimal integration and segregation of neuronal connections are necessary for efficient large-scale network communication between distributed cortical regions while allowing for modular specialization. This dynamic in the cortex is enabled at the network mesoscale by the organization of nodes into c...