Models of Network Spread and Network Degeneration in Brain Disorders. Review uri icon

Overview

abstract

  • Network analysis can provide insight into key organizational principles of brain structure and help identify structural changes associated with brain disease. Though static differences between diseased and healthy networks are well characterized, the study of network dynamics, or how brain networks change over time, is increasingly central to understanding ongoing brain changes throughout disease. Accordingly, we present a short review of network models of spread, network dynamics, and network degeneration. Borrowing from recent suggestions, we divide this review into two processes by which brain networks can change: dynamics on networks, which are functional and pathological consequences taking place atop a static structural brain network; and dynamics of networks, which constitutes a changing structural brain network. We focus on diffusion magnetic resonance imaging-based structural or anatomic connectivity graphs. We address psychiatric disorders like schizophrenia; developmental disorders like epilepsy; stroke; and Alzheimer's disease and other neurodegenerative diseases.

publication date

  • August 3, 2018

Research

keywords

  • Diffusion Tensor Imaging
  • Epilepsy
  • Models, Neurological
  • Nerve Net
  • Neurodegenerative Diseases
  • Schizophrenia
  • Stroke

Identity

PubMed Central ID

  • PMC6219468

Scopus Document Identifier

  • 85052283517

Digital Object Identifier (DOI)

  • 10.1016/j.bpsc.2018.07.012

PubMed ID

  • 30170711

Additional Document Info

volume

  • 3

issue

  • 9