ReviewBiological reviews of the Cambridge Philosophical Society2026
A complex network perspective on brain disease.
Review in Biological reviews of the Cambridge Philosophical Society, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
2 citing papers in PubMed.
- Integrated anatomical and functional connectivity mapping in episodic migraine: a spectral graph theory approach.Scientific reports · 2026Article
- Biological detail and graph structure in network neuroscience.Frontiers in network physiology · 2025Review
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Authors and funding
2 authors.
Funding
Abstract
If brain anatomy and dynamics have a complex network structure as it has become standard to posit, it is reasonable to assume that such a structure should play a key role not only in brain function but also in brain dysfunction. However, exactly how network structure is implicated in brain damage and whether at least some pathologies can be thought of as 'network diseases' is not yet clear. Here we discuss ways in which a complex network representation can help in characterising brain pathology, but also in assessing subjects' vulnerability to and likelihood of recovery from disease. We show how the way disease is defined is related to the way function is defined and this, in turn, determines which network property may be functionally relevant to brain disease. Thus, addressing brain disease 'networkness' may shed light not only on brain pathology, with potential clinical implications, but also on functional brain activity, and what is functional in it.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.