NBR: Network-based R-statistics for (unbalanced) longitudinal samples

• Published in: bioRxiv
• Main Authors: Gracia-Tabuenca, Zeus, Alcauter, Sarael
• Format: Paper
• Language: English
• Published: Cold Spring Harbor Cold Spring Harbor Laboratory Press 08.11.2020; Cold Spring Harbor Laboratory
• Edition: 1.1
• Subjects: Aging; Anxiety; Brain mapping; Cerebellum; Cingulum; Functional magnetic resonance imaging; Longitudinal studies; Nervous system; Neural networks; Neuroscience; Neurosciences; Statistical analysis

Abstract Network neuroscience models the brain as interacting elements. However, a large number of elements imply a vast number of interactions, making it difficult to assess which connections are relevant and which are spurious. Zalesky et al. (2010) proposed the Network-Based Statistics (NBS), whi...