ArticleNeuroImage2019
RE: Warnings and caveats in brain controllability.
Article in NeuroImage, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 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
13 citing papers in PubMed.
- Exploring the Role of the Rich Club in Network Control of Neurocognitive States.Human brain mapping · 2026Article
- The Neural Association Between Symptom and Cognition in Major Depressive Disorder: A Network Control Theory Study.Human brain mapping · 2025Article
- Controlling target brain regions by optimal selection of input nodes.PLoS computational biology · 2024Article
- Development of the brain network control theory and its implications.Psychoradiology · 2024Review
- Article
- Computational modelling in disorders of consciousness: Closing the gap towards personalised models for restoring consciousness.NeuroImage · 2023Article
- Reduced emergent character of neural dynamics in patients with a disrupted connectome.NeuroImage · 2023Article
- Drug-resistant focal epilepsy in children is associated with increased modal controllability of the whole brain and epileptogenic regions.Communications biology · 2022Article
- Structural brain network topological alterations in stuttering adults.Brain communications · 2022Article
- Structure-informed functional connectivity driven by identifiable and state-specific control regions.Network neuroscience (Cambridge, Mass.) · 2021Article
- Structural Controllability Predicts Functional Patterns and Brain Stimulation Benefits Associated with Working Memory.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2020Article
- Control of brain network dynamics across diverse scales of space and time.Physical review. E · 2020Article
- Article
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The use of network control theory to analyze the organization of white matter fibers in the human brain has the potential to enable mechanistic theories of cognition, and to inform the development of novel diagnostics and treatments for neurological disease and psychiatric disorders (Gu et al., 2015). The recent article (Tu et al., 2018) aims to challenge several of the contributions of (Gu et al., 2015), and particularly the conclusions that brain networks are theoretically controllable from single regions, and that brain networks feature no specific controllability profiles when compared to random network models. Here we provide additional theoretical arguments in support of (Gu et al., 2015) and against the results and methodologies used in (Tu et al., 2018), thus settling that (i) brain networks are controllable from a single region, (ii) brain networks require large control energy, and (iii) brain networks feature distinctive controllability properties with respect to a class of random network models.
Indexed as
Identifiers
31075390What OpenQuestion holds
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.