Network Analyses and Nervous System Disorders

  title={Network Analyses and Nervous System Disorders},
  author={John D. Medaglia and Danielle S. Bassett},
  journal={Oxford Research Encyclopedia of Neuroscience},
  • J. Medaglia, D. Bassett
  • Published 4 January 2017
  • Psychology, Biology
  • Oxford Research Encyclopedia of Neuroscience
Network analyses in nervous system disorders involve constructing and analyzing anatomical and functional brain networks from neuroimaging data to describe and predict the clinical syndromes that result from neuropathology. A network view of neurological disease and clinical syndromes facilitates accurate quantitative characterizations and mathematical models of complex nervous system disorders with relatively simple tools drawn from the field of graph theory. Networks are predominantly… 

Figures from this paper

Using the Gibbs Function as a Measure of Human Brain Development Trends from Fetal Stage to Advanced Age
Gender data analysis has uncovered the existence of functional differences, showing male Gibbs function values lower than female at prenatal and neonatal ages, which become higher at ages 8 to 40 and finally converging at late adulthood with the corresponding female Gibbs functions.
Estimating the impact of structural directionality: How reliable are undirected connectomes?
To better understand the effects of directionality on graph-theoretic measures of anatomical networks, a comparison of brain networks across species when directionality is neglected is compared, and it is suggested that hubs become vulnerable.
Effective synaptic interactions in subsampled nonlinear networks with strong coupling
This work focuses on how the effective spatiotemporal dynamics of the synaptic interactions between neurons are reshaped by coupling to unobserved neurons and derives a formula for strong impact of hidden units in random networks with connection weights that scale with 1/√ N, where N is the network size.
Predicting how and when hidden neurons skew measured synaptic interactions
This work focuses on how the effective spatiotemporal dynamics of the synaptic interactions between neurons are reshaped by coupling to unobserved neurons, and derives a formula for the impact of hidden units in random networks with “strong” coupling.


Modern network science of neurological disorders
  • C. Stam
  • Psychology
    Nature Reviews Neuroscience
  • 2014
Modern network science has revealed fundamental aspects of normal brain-network organization, such as small-world and scale-free patterns, hierarchical modularity, hubs and rich clubs, to use to gain a better understanding of brain disease.
On Human Brain Networks in Health and Disease
The basic concepts in network science are reviewed, and the properties of healthy and diseased brain networks discussed, and relationships between network diagnostics and alterations in behavioural or cognitive variables associated with Alzheimer's disease, schizophrenia and epilepsy are highlighted.
Complex network measures of brain connectivity: Uses and interpretations
Contributions and challenges for network models in cognitive neuroscience
  • O. Sporns
  • Biology, Psychology
    Nature Neuroscience
  • 2014
The confluence of new approaches in recording patterns of brain connectivity and quantitative analytic tools from network science has opened new avenues toward understanding the organization and
Hyperconnectivity is a fundamental response to neurological disruption.
A critical review of the blood oxygen level dependent functional MRI (BOLD fMRI) literature examining neural connectivity changes in neurological disorders with focus on brain injury and dementia reveals that hyperconnectivity is a common response to neurological disruption and that it may be differentially observable across brain regions.
Abnormal Cortical Networks in Mild Cognitive Impairment and Alzheimer's Disease
Among the three cortical networks, the greatest clustering coefficient and the longest absolute path length in AD are found, which might indicate that the organization of the cortical network was the least optimal in AD.
Structural Insights into Aberrant Topological Patterns of Large-Scale Cortical Networks in Alzheimer's Disease
The findings suggest that the coordinated patterns of cortical morphology are widely altered in AD patients, thus providing structural evidence for disrupted integrity in large-scale brain networks that underlie cognition.
Altered functional-structural coupling of large-scale brain networks in idiopathic generalized epilepsy.
It is demonstrated for the first time that idiopathic generalized epilepsy is reflected in a disrupted topological organization in large-scale brain functional and structural networks, thus providing valuable information for better understanding the pathophysiological mechanisms of generalized tonic-clonic seizures.
Network hubs in the human brain