ReviewAnnual review of biomedical engineering2017
Emerging Frontiers of Neuroengineering: A Network Science of Brain Connectivity.
Review in Annual review of biomedical engineering, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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
25 citing papers in PubMed.
- Mapping the Disrupted Connectome in Spinocerebellar Ataxia Type 3: A Network-Based Statistics Study Identifying Novel Therapeutic Targets for Neuromodulation.CNS neuroscience & therapeutics · 2026Article
- A complex network perspective on brain disease.Biological reviews of the Cambridge Philosophical Society · 2026Review
- Connectivity of the adult human brain with sequential neurogenesis of circuits and transcriptomics signatures.Nature communications · 2025Article
- White matter neural substrates in alcohol dependence with genetic risk and their role in pathological reward process.Scientific reports · 2025Article
- Intractable prefrontal and limbic white matter network disruption in adolescents with drug-naïve nonsuicidal self-injury.BMC psychiatry · 2025Article
- An EEG-network-metric based approach to real-time trust inference in human-autonomy teaming.Frontiers in neuroergonomics · 2025Article
- A corollary discharge circuit in human speech.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Control Theory and Systems Biology: Potential Applications in Neurodegeneration and Search for Therapeutic Targets.International journal of molecular sciences · 2023Review
- Structural alterations of the salience network in patients with insular glioma.Brain and behavior · 2023Article
- Sensing and Stimulation Applications of Carbon Nanomaterials in Implantable Brain-Computer Interface.International journal of molecular sciences · 2023Review
- Article
- The expanding horizons of network neuroscience: From description to prediction and control.NeuroImage · 2022Review
- Drug-resistant focal epilepsy in children is associated with increased modal controllability of the whole brain and epileptogenic regions.Communications biology · 2022Article
- Gut bless you: The microbiota-gut-brain axis in irritable bowel syndrome.World journal of gastroenterology · 2022Review
- Association between brain structural network efficiency at term-equivalent age and early development of cerebral palsy in very preterm infants.NeuroImage · 2021Article
- White Matter Structural Network Analysis to Differentiate Alzheimer's Disease and Subcortical Ischemic Vascular Dementia.Frontiers in aging neuroscience · 2021Article
- Computing Temporal Sequences Associated With Dynamic Patterns on theFrontiers in systems neuroscience · 2021Article
- Article
- Article
- Neural engineering: the process, applications, and its role in the future of medicine.Journal of neural engineering · 2019Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Neuroengineering is faced with unique challenges in repairing or replacing complex neural systems that are composed of many interacting parts. These interactions form intricate patterns over large spatiotemporal scales and produce emergent behaviors that are difficult to predict from individual elements. Network science provides a particularly appropriate framework in which to study and intervene in such systems by treating neural elements (cells, volumes) as nodes in a graph and neural interactions (synapses, white matter tracts) as edges in that graph. Here, we review the emerging discipline of network neuroscience, which uses and develops tools from graph theory to better understand and manipulate neural systems from micro- to macroscales. We present examples of how human brain imaging data are being modeled with network analysis and underscore potential pitfalls. We then highlight current computational and theoretical frontiers and emphasize their utility in informing diagnosis and monitoring, brain-machine interfaces, and brain stimulation. A flexible and rapidly evolving enterprise, network neuroscience provides a set of powerful approaches and fundamental insights that are critical for the neuroengineer's tool kit.
Indexed as
Identifiers
What 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.