Evidence map›Paper›PMID 26110111›Full record

ArticleNeuroImage. Clinical2015

Increased segregation of brain networks in focal epilepsy: An fMRI graph theory finding.

Mangor Pedersen, Amir H Omidvarnia, Jennifer M Walz, Graeme D Jackson

Open access · goldAbstract read
In one paragraph

Article in NeuroImage. Clinical, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed, 2 pooled it
5.3field-weighted citation impact, top 4% of its field
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

56 citing papers in PubMed, 2 syntheses or guidelines pooled it, 113 citations in OpenAlex.

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  17. Subcortical Functional Connectivity Gradients in Temporal Lobe Epilepsy.medRxiv : the preprint server for health sciences · 2023
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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 at 2 institutions in 1 country.

Mangor PedersenThe Florey Institute of Neuroscience and Mental Health, Austin Campus, Melbourne, VIC, Australia ; Florey Department of Neuroscience and Mental Health, The University of Melbourne, Melbourne, VIC, Australia.
Amir H OmidvarniaThe Florey Institute of Neuroscience and Mental Health, Austin Campus, Melbourne, VIC, Australia ; Florey Department of Neuroscience and Mental Health, The University of Melbourne, Melbourne, VIC, Australia.
Jennifer M WalzThe Florey Institute of Neuroscience and Mental Health, Austin Campus, Melbourne, VIC, Australia.
Graeme D JacksonThe Florey Institute of Neuroscience and Mental Health, Austin Campus, Melbourne, VIC, Australia ; Florey Department of Neuroscience and Mental Health, The University of Melbourne, Melbourne, VIC, Australia ; Department of Neurology, Austin Health, Melbourne, VIC, Australia.
Florey Institute of Neuroscience and Mental Health · AUUniversity of Melbourne · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Focal epilepsy is conceived of as activating local areas of the brain as well as engaging regional brain networks. Graph theory represents a powerful quantitative framework for investigation of brain networks. Here we investigate whether functional network changes are present in extratemporal focal epilepsy. Task-free functional magnetic resonance imaging data from 15 subjects with extratemporal epilepsy and 26 age and gender matched healthy controls were used for analysis. Local network properties were calculated using local efficiency, clustering coefficient and modularity metrics. Global network properties were assessed with global efficiency and betweenness centrality metrics. Cost-efficiency of the networks at both local and global levels was evaluated by estimating the physical distance between functionally connected nodes, in addition to the overall numbers of connections in the network. Clustering coefficient, local efficiency and modularity were significantly higher in individuals with focal epilepsy than healthy control subjects, while global efficiency and betweenness centrality were not significantly different between the two groups. Local network properties were also highly efficient, at low cost, in focal epilepsy subjects compared to healthy controls. Our results show that functional networks in focal epilepsy are altered in a way that the nodes of the network are more isolated. We postulate that network regularity, or segregation of the nodes of the networks, may be an adaptation that inhibits the conversion of the interictal state to seizures. It remains possible that this may be part of the epileptogenic process or an effect of medications.

Indexed as

AdultConnectomeData Interpretation, StatisticalEpilepsies, PartialFemaleHumansMagnetic Resonance ImagingMaleMathematical ConceptsNerve NetConnectomicsExtratemporalfMRIFocal epilepsyGraph theoryNetwork

Identifiers

PMID26110111
PMCPMC4477107
OpenAlexW322832166

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.