ArticlePhilosophical transactions of the Royal Society of London. Series B, Biological sciences2014
Functional brain networks: great expectations, hard times and the big leap forward.
Article in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
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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.
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Who cites it
27 citing papers in PubMed, 95 citations in OpenAlex.
- A complex network perspective on brain disease.Biological reviews of the Cambridge Philosophical Society · 2026Review
- Biological detail and graph structure in network neuroscience.Frontiers in network physiology · 2025Review
- Telling functional networks apart using ranked network features stability.Scientific reports · 2022Article
- Principles and open questions in functional brain network reconstruction.Human brain mapping · 2021Review
- Statistical and Machine Learning Link Selection Methods for Brain Functional Networks: Review and Comparison.Brain sciences · 2021Article
- Multifractal and Entropy-Based Analysis of Delta Band Neural Activity Reveals Altered Functional Connectivity Dynamics in Schizophrenia.Frontiers in systems neuroscience · 2020Article
- Genomic Variation, Evolvability, and the Paradox of Mental Illness.Frontiers in psychiatry · 2020Article
- Functional Geometry of Human Connectomes.Scientific reports · 2019Article
- Gauging Functional Brain Activity: From Distinguishability to Accessibility.Frontiers in physiology · 2019Article
- Graph-to-signal transformation based classification of functional connectivity brain networks.PloS one · 2019Article
- Weighted Symbolic Dependence Metric (wSDM) for fMRI resting-state connectivity: A multicentric validation for frontotemporal dementia.Scientific reports · 2018Article
- Role of inter-hemispheric connections in functional brain networks.Scientific reports · 2018Article
- Regions of Interest as nodes of dynamic functional brain networks.Network neuroscience (Cambridge, Mass.) · 2018Article
- Bridging Waves and Crucial Events in the Dynamics of the Brain.Frontiers in physiology · 2018Article
- Effects of spatial smoothing on functional brain networks.The European journal of neuroscience · 2017Article
- Consistency of Regions of Interest as nodes of fMRI functional brain networks.Network neuroscience (Cambridge, Mass.) · 2017Article
- Tackling variability: A multicenter study to provide a gold-standard network approach for frontotemporal dementia.Human brain mapping · 2017Article
- A network engineering perspective on probing and perturbing cognition with neurofeedback.Annals of the New York Academy of Sciences · 2017Review
- Locating Temporal Functional Dynamics of Visual Short-Term Memory Binding using Graph Modular Dirichlet Energy.Scientific reports · 2017Article
- Accounting for the complex hierarchical topology of EEG phase-based functional connectivity in network binarisation.PloS one · 2017Article
Corrections and comments
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Authors and funding
5 authors at 3 institutions in 3 countries.
Funding
Abstract
Many physical and biological systems can be studied using complex network theory, a new statistical physics understanding of graph theory. The recent application of complex network theory to the study of functional brain networks has generated great enthusiasm as it allows addressing hitherto non-standard issues in the field, such as efficiency of brain functioning or vulnerability to damage. However, in spite of its high degree of generality, the theory was originally designed to describe systems profoundly different from the brain. We discuss some important caveats in the wholesale application of existing tools and concepts to a field they were not originally designed to describe. At the same time, we argue that complex network theory has not yet been taken full advantage of, as many of its important aspects are yet to make their appearance in the neuroscience literature. Finally, we propose that, rather than simply borrowing from an existing theory, functional neural networks can inspire a fundamental reformulation of complex network theory, to account for its exquisitely complex functioning mode.
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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.