Evidence map›Paper›PMID 23442172›Full record

ArticleBrain connectivity2013

The virtual brain integrates computational modeling and multimodal neuroimaging.

Petra Ritter, Michael Schirner, Anthony R McIntosh, Viktor K Jirsa

Abstract read
In one paragraph

Article in Brain connectivity, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 136 papers.

0numbers the graph read from it
0cells of the map it votes in
136citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

136 citing papers in PubMed.

  1. Review
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  7. Review
  8. Hierarchical whole-brain modeling of critical synchronization dynamics in the human brain.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  9. An Interactive Brain Atlas of Knowledge.bioRxiv : the preprint server for biology · 2026
    Article
  10. Article
  11. Deterministic, stochastic, and mean-field PDE models in neuroscience.Frontiers in computational neuroscience · 2026
    Review
  12. Article
  13. Article
  14. TVB C++: A Fast and Flexible Back-End for The Virtual Brain.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  15. Article
  16. cuBNM: GPU-Accelerated Brain Network Modeling.bioRxiv : the preprint server for biology · 2025
    Article
  17. Article
  18. Article
  19. Article
  20. Article

76 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Petra RitterMinerva Research Group Brain Modes, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany. petra.ritter@charite.de
Michael Schirner
Anthony R McIntosh
Viktor K Jirsa

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Brain function is thought to emerge from the interactions among neuronal populations. Apart from traditional efforts to reproduce brain dynamics from the micro- to macroscopic scales, complementary approaches develop phenomenological models of lower complexity. Such macroscopic models typically generate only a few selected-ideally functionally relevant-aspects of the brain dynamics. Importantly, they often allow an understanding of the underlying mechanisms beyond computational reproduction. Adding detail to these models will widen their ability to reproduce a broader range of dynamic features of the brain. For instance, such models allow for the exploration of consequences of focal and distributed pathological changes in the system, enabling us to identify and develop approaches to counteract those unfavorable processes. Toward this end, The Virtual Brain (TVB) ( www.thevirtualbrain.org ), a neuroinformatics platform with a brain simulator that incorporates a range of neuronal models and dynamics at its core, has been developed. This integrated framework allows the model-based simulation, analysis, and inference of neurophysiological mechanisms over several brain scales that underlie the generation of macroscopic neuroimaging signals. In this article, we describe how TVB works, and we present the first proof of concept.

Indexed as

Computer SimulationModels, NeurologicalUser-Computer InterfaceBrainElectroencephalographyHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingNonlinear DynamicsStochastic ProcessesTime Factors

Identifiers

PMID23442172
PMCPMC3696923

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.