Evidence map›Paper›PMID 32027654›Full record

ArticlePloS one2020

Computational modelling of the long-term effects of brain stimulation on the local and global structural connectivity of epileptic patients.

Emmanouil Giannakakis, Frances Hutchings, Christoforos A Papasavvas, Cheol E Han, Bernd Weber, Chencheng Zhang, Marcus Kaiser

Abstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 2 pooled it
–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

11 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Frontiers in neuroscience · 2026
    Article
  4. Precision non-invasive brain stimulation: anJournal of neural engineering · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Bifurcations and bursting in the Epileptor.PLoS computational biology · 2024
    Article
  9. Article
  10. Article
  11. Article
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

7 authors.

Emmanouil GiannakakisInterdisciplinary Computing and Complex BioSystems (ICOS) Research Group, School of Computing, Newcastle University, Newcastle upon Tyne, England, United Kingdom.ORCID 0000-0001-5636-5824
Frances HutchingsInterdisciplinary Computing and Complex BioSystems (ICOS) Research Group, School of Computing, Newcastle University, Newcastle upon Tyne, England, United Kingdom.
Christoforos A PapasavvasInterdisciplinary Computing and Complex BioSystems (ICOS) Research Group, School of Computing, Newcastle University, Newcastle upon Tyne, England, United Kingdom.
Cheol E HanDepartment of Electronics and Information Engineering, Korea University, Sejong, Republic of Korea.ORCID 0000-0002-9994-6861
Bernd WeberInstitute of Experimental Epileptology and Cognition Research, University of Bonn, Bonn, Germany.
Chencheng ZhangDepartment of Functional Neurosurgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Marcus KaiserInterdisciplinary Computing and Complex BioSystems (ICOS) Research Group, School of Computing, Newcastle University, Newcastle upon Tyne, England, United Kingdom.

Funding

Medical Research Council MR/T004347/1Wellcome Trust 102037
6 · The paper itself

Abstract

Computational studies of the influence of different network parameters on the dynamic and topological network effects of brain stimulation can enhance our understanding of different outcomes between individuals. In this study, a brain stimulation session along with the subsequent post-stimulation brain activity is simulated for a period of one day using a network of modified Wilson-Cowan oscillators coupled according to diffusion imaging based structural connectivity. We use this computational model to examine how differences in the inter-region connectivity and the excitability of stimulated regions at the time of stimulation can affect post-stimulation behaviours. Our findings indicate that the initial inter-region connectivity can heavily affect the changes that stimulation induces in the connectivity of the network. Moreover, differences in the excitability of the stimulated regions seem to lead to different post-stimulation connectivity changes across the model network, including on the internal connectivity of non-stimulated regions.

Indexed as

Computer SimulationBrainCase-Control StudiesConnectomeDeep Brain StimulationDiffusion Magnetic Resonance ImagingEpilepsyFemaleHumansMaleNerve NetParkinson DiseaseTime Factors

Identifiers

PMID32027654
PMCPMC7004372

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.