ReviewNeuroImage2022
The expanding horizons of network neuroscience: From description to prediction and control.
Review in NeuroImage, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
21 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A bias-accounting meta-analytic approach refines and expands the cerebellar behavioral topography.Neuroscience and biobehavioral reviews · 2025Pooled it
- Modeling Complex Effects and Individual Variability in Multi-Paradigm fMRI with Nonlinear Mixed Models.bioRxiv : the preprint server for biology · 2026Article
- Controllability of morphometric network colocalize with underlying neurobiology in major depression.Psychological medicine · 2026Article
- A bias-accounting meta-analytic approach refines and expands the cerebellar behavioral topography.bioRxiv : the preprint server for biology · 2025Article
- Functional brain networks predicting sustained attention are not specific to perceptual modality.Network neuroscience (Cambridge, Mass.) · 2025Article
- An EEG-network-metric based approach to real-time trust inference in human-autonomy teaming.Frontiers in neuroergonomics · 2025Article
- Network control theory applied to the human connectome: A study on variability and discriminability of fMRI connectomic features under normal and defective sensorineural conditions.Network neuroscience (Cambridge, Mass.) · 2025Article
- Translational network neuroscience: Nine roadblocks and possible solutions.Network neuroscience (Cambridge, Mass.) · 2025Article
- Functional brain networks are associated with both sex and gender in children.Science advances · 2024Article
- Edge-Community Entropy Is a Novel Neural Correlate of Aging and Moderator of Fluid Cognition.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024Article
- Cocaine diminishes functional network robustness and destabilizes the energy landscape of neuronal activity in the medial prefrontal cortex.PNAS nexus · 2024Article
- Preparation and Mechano-Functional Characterization of PEGylated Fibrin Hydrogels: Impact of Thrombin Concentration.Gels (Basel, Switzerland) · 2024Article
- Statistical Brain Network Analysis.Annual review of statistics and its application · 2024Article
- The digital twin in neuroscience: from theory to tailored therapy.Frontiers in neuroscience · 2024Article
- Development of the brain network control theory and its implications.Psychoradiology · 2024Review
- Predicting the macrovascular contribution to resting-state fMRI functional connectivity at 3 Tesla: A model-informed approach.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Assessment of the macrovascular contribution to resting-state fMRI functional connectivity at 3 Tesla.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Myelination and excitation-inhibition balance synergistically shape structure-function coupling across the human cortex.Nature communications · 2023Article
- Network models to enhance the translational impact of cross-species studies.Nature reviews. Neuroscience · 2023Review
- Editorial: Novel perspectives and improvements in fMRI functional connectivity analysis methods used to investigate brain networks and cognitive mechanisms in humans.Frontiers in neuroscience · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
The field of network neuroscience has emerged as a natural framework for the study of the brain and has been increasingly applied across divergent problems in neuroscience. From a disciplinary perspective, network neuroscience originally emerged as a formal integration of graph theory (from mathematics) and neuroscience (from biology). This early integration afforded marked utility in describing the interconnected nature of neural units, both structurally and functionally, and underscored the relevance of that interconnection for cognition and behavior. But since its inception, the field has not remained static in its methodological composition. Instead, it has grown to use increasingly advanced graph-theoretic tools and to bring in several other disciplinary perspectives-including machine learning and systems engineering-that have proven complementary. In doing so, the problem space amenable to the discipline has expanded markedly. In this review, we discuss three distinct flavors of investigation in state-of-the-art network neuroscience: (i) descriptive network neuroscience, (ii) predictive network neuroscience, and (iii) a perturbative network neuroscience that draws on recent advances in network control theory. In considering each area, we provide a brief summary of the approaches, discuss the nature of the insights obtained, and highlight future directions.
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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.