The anatomical distance of functional connections predicts brain network topology in health and schizophrenia.

  title={The anatomical distance of functional connections predicts brain network topology in health and schizophrenia.},
  author={Aaron F. Alexander-Bloch and Petra E. V{\'e}rtes and Reva L Stidd and François M. Lalonde and Liv S. Clasen and Judith L. Rapoport and Jay N. Giedd and Edward T. Bullmore and Nitin Gogtay},
  journal={Cerebral cortex},
  volume={23 1},
The human brain is a topologically complex network embedded in anatomical space. Here, we systematically explored relationships between functional connectivity, complex network topology, and anatomical (Euclidean) distance between connected brain regions, in the resting-state functional magnetic resonance imaging brain networks of 20 healthy volunteers and 19 patients with childhood-onset schizophrenia (COS). Normal between-subject differences in average distance of connected edges in brain… 

Figures and Tables from this paper

Identifying and Mapping Connectivity Patterns of Brain Network Hubs in Alzheimer's Disease.

It is found that AD selectively targeted highly connected hub regions (in terms of nodal functional connectivity strength) of brain networks, involving the medial and lateral prefrontal and parietal cortices, insula, and thalamus, thus suggesting the potential of using network hub connectivity as a diagnostic biomarker.

Impaired long distance functional connectivity and weighted network architecture in Alzheimer's disease.

It is found that patients with severe AD had reduced amplitude and regional homogeneity of low-frequency fMRI oscillations, and reduced the strength of functional connectivity, in several regions previously described as components of the default mode network.

Anatomical distance affects functional connectivity in patients with schizophrenia and their siblings.

Age-related shift in ADF provides an explanatory framework for the developmental emergence of widespread dysconnectivity that is influenced by genetic risk in schizophrenia.

The topology of structural brain connectivity in diseases and spatio-temporal connectomics

It is shown that the topological alteration of distinct brain subsystems may be a biomarker for different brain disorders and an original network model is proposed for the joint representation of brain structural and functional connectivity properties.

Simple models of human brain functional networks

This work proposes a model in which the embedded topology of brain networks emerges from two competing factors: a distance penalty based on the cost of maintaining long-range connections; and a topological term that favors links between regions sharing similar input.

Hippocampal Network Modularity Is Associated With Relational Memory Dysfunction in Schizophrenia.




Functional Connectivity and Brain Networks in Schizophrenia

It is concluded that people with schizophrenia tend to have a less strongly integrated, more diverse profile of brain functional connectivity, associated with a less hub-dominated configuration of complex brain functional networks.

Hierarchical Organization of Human Cortical Networks in Health and Schizophrenia

It is proposed that the topological differences between divisions of normal cortex may represent the outcome of different growth processes for multimodal and transmodal networks and that neurodevelopmental abnormalities in schizophrenia specifically impact multi-modal cortical organization.

Disrupted Modularity and Local Connectivity of Brain Functional Networks in Childhood-Onset Schizophrenia

Graph theory is used to investigate topology of networks derived from resting-state fMRI data on 13 COS patients and 19 healthy volunteers and shows how local thresholding based on the minimum spanning tree facilitates group comparisons of networks by forcing the connectedness of sparse graphs.

Disrupted Axonal Fiber Connectivity in Schizophrenia

Aberrant Frontal and Temporal Complex Network Structure in Schizophrenia: A Graph Theoretical Analysis

It is demonstrated that schizophrenia involves an aberrant topology of the structural infrastructure of the brain network, which suggests that schizophrenia patients have a less strongly globally integrated structural brain network with a reduced central role for key frontal hubs.

Age-related changes in modular organization of human brain functional networks

Disrupted small-world networks in schizophrenia.

It is demonstrated that the brain functional networks had efficient small-world properties in the healthy subjects; whereas these properties were disrupted in the patients with schizophrenia, consistent with a hypothesis of dysfunctional integration of the brain in this illness.

Functional Brain Networks Develop from a “Local to Distributed” Organization

Over development, the organization of multiple functional networks shifts from a local anatomical emphasis in children to a more “distributed” architecture in young adults, and it is argued that this “local to distributed” developmental characterization has important implications for understanding the development of neural systems underlying cognition.

Predicting human resting-state functional connectivity from structural connectivity

Although resting state functional connectivity is variable and is frequently present between regions without direct structural linkage, its strength, persistence, and spatial statistics are nevertheless constrained by the large-scale anatomical structure of the human cerebral cortex.

Genetic Influences on Cost-Efficient Organization of Human Cortical Functional Networks

Evidence is reported that one such principle for functional cortical networks involves finding a balance between maximizing communication efficiency and minimizing connection cost, referred to as optimization of network cost-efficiency, which is consistent with the hypothesis that brain networks evolved to satisfy competitive selection criteria of maximizing efficiency and minimize cost.