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Related Experiment Video

Updated: Jan 15, 2026

Modeling the Functional Network for Spatial Navigation in the Human Brain

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

A complex network perspective on brain disease.

David Papo^1,2, Javier M Buldú³

¹Department of Neuroscience and Rehabilitation, Section of Physiology, University of Ferrara, Via Fossato di Mortara, 19, Ferrara, 44121, Italy.

Biological Reviews of the Cambridge Philosophical Society

|October 15, 2025

Summary

This summary is machine-generated.

Brain network structure is key to function and dysfunction. Understanding this "networkness" can reveal brain pathology, vulnerability, and recovery potential.

Keywords:

brain topology complex networks degeneracy dynamical disease evolvability neutral networks pathoconnectomics resilience and vulnerability

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Area of Science:

Neuroscience
Network Science
Computational Biology

Background:

Complex network structures are increasingly recognized in brain anatomy and dynamics.
The role of these network structures in brain dysfunction and pathology remains unclear.
Defining brain disease through a network lens is an emerging area of research.

Purpose of the Study:

To explore how complex network representations can characterize brain pathology.
To assess the implications of network structure for vulnerability and recovery from brain disease.
To investigate the relationship between disease definition, functional definition, and relevant network properties.

Main Methods:

Conceptual analysis of brain network theory.
Discussion of network properties in relation to brain function and dysfunction.
Framework for defining brain pathologies as 'network diseases'.

Main Results:

Network structure significantly influences both brain function and dysfunction.
The definition of disease and function dictates the relevance of specific network properties.
A network perspective offers insights into individual susceptibility and recovery trajectories.

Conclusions:

Characterizing brain pathology using network science can illuminate disease mechanisms.
Understanding brain 'networkness' has potential clinical implications for assessing and treating neurological disorders.
This approach enhances our understanding of functional brain activity and its relationship to pathology.