ReviewCurrent opinion in neurology2016
A new neuroinformatics approach to personalized medicine in neurology: The Virtual Brain.
Review in Current opinion in neurology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 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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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
32 citing papers in PubMed.
- Review
- Structural and Functional Connectivity Predict the Effects of Direct Brain Stimulation on Memory.bioRxiv : the preprint server for biology · 2026Article
- Article
- Computational whole-body-exposome models for global precision brain health.Nature communications · 2025Article
- Mapping global brain reconfigurations following local targeted manipulations.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- From data to discovery: Neuroinformatics in understanding Alzheimer's disease.Journal of biosciences · 2025Review
- Personalized whole-brain neural mass models reveal combined Aβ and tau hyperexcitable influences in Alzheimer's disease.Communications biology · 2024Article
- Biophysical models applied to dementia patients reveal links between geographical origin, gender, disease duration, and loss of neural inhibition.Alzheimer's research & therapy · 2024Article
- Computational modeling allows unsupervised classification of epileptic brain states across species.Scientific reports · 2023Article
- Revealing the combined roles of Aβ and tau in Alzheimer's disease via a pathophysiological activity decoder.bioRxiv : the preprint server for biology · 2023Article
- The role of additive and diffusive coupling on the dynamics of neural populations.Scientific reports · 2023Article
- Sleep Dysfunction and Grey Matter Volume.Current neurology and neuroscience reports · 2022Review
- A comprehensive neural simulation of slow-wave sleep and highly responsive wakefulness dynamics.Frontiers in computational neuroscience · 2022Article
- Computational Models in Electroencephalography.Brain topography · 2022Review
- Vascular Cognitive Impairment After Mild Stroke: Connectomic Insights, Neuroimaging, and Knowledge Translation.Frontiers in neuroscience · 2022Review
- Data-driven discovery of canonical large-scale brain dynamics.Cerebral cortex communications · 2022Article
- Perspectives on Understanding Aberrant Brain Networks in Epilepsy.Frontiers in network physiology · 2022Article
- RateML: A Code Generation Tool for Brain Network Models.Frontiers in network physiology · 2022Article
- Quantitative systems pharmacology in neuroscience: Novel methodologies and technologies.CPT: pharmacometrics & systems pharmacology · 2021Review
- Control of brain network dynamics across diverse scales of space and time.Physical review. E · 2020Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
purpose of reviewAn exciting advance in the field of neuroimaging is the acquisition and processing of very large data sets (so called 'big data'), permitting large-scale inferences that foster a greater understanding of brain function in health and disease. Yet what we are clearly lacking are quantitative integrative tools to translate this understanding to the individual level to lay the basis for personalized medicine. RECENT
findingsHere we address this challenge through a review on how the relatively new field of neuroinformatics modeling has the capacity to track brain network function at different levels of inquiry, from microscopic to macroscopic and from the localized to the distributed. In this context, we introduce a new and unique multiscale approach, The Virtual Brain (TVB), that effectively models individualized brain activity, linking large-scale (macroscopic) brain dynamics with biophysical parameters at the microscopic level. We also show how TVB modeling provides unique biological interpretable data in epilepsy and stroke. SUMMARY: These results establish the basis for a deliberate integration of computational biology and neuroscience into clinical approaches for elucidating cellular mechanisms of disease. In the future, this can provide the means to create a collection of disease-specific models that can be applied on the individual level to personalize therapeutic interventions. VIDEO ABSTRACT.
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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.