Evidence map›Paper›PMID 27349503›Full record

ArticleScientific reports2016

Insights into Intrinsic Brain Networks based on Graph Theory and PET in right- compared to left-sided Temporal Lobe Epilepsy.

Thomas Vanicek, Andreas Hahn, Tatjana Traub-Weidinger, Eva Hilger, Marie Spies, Wolfgang Wadsak, Rupert Lanzenberger, Ekaterina Pataraia, Susanne Asenbaum-Nan

Abstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  4. Review
  5. [European journal of nuclear medicine and molecular imaging · 2025
    Article
  6. Similarity between structural and proxy estimates of brain connectivity.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2024
    Article
  7. Article
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  12. Making Sense of Connectivity.The international journal of neuropsychopharmacology · 2019
    Review
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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

9 authors.

Thomas VanicekDepartment of Psychiatry and Psychotherapy, Medical University of Vienna, Austria.
Andreas HahnDepartment of Psychiatry and Psychotherapy, Medical University of Vienna, Austria.
Tatjana Traub-WeidingerDepartment of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Austria.
Eva HilgerDepartment of Neurology, Medical University of Vienna, Austria.
Marie SpiesDepartment of Psychiatry and Psychotherapy, Medical University of Vienna, Austria.
Wolfgang WadsakDepartment of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Austria.
Rupert LanzenbergerDepartment of Psychiatry and Psychotherapy, Medical University of Vienna, Austria.
Ekaterina PataraiaDepartment of Neurology, Medical University of Vienna, Austria.
Susanne Asenbaum-NanDepartment of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Austria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The human brain exhibits marked hemispheric differences, though it is not fully understood to what extent lateralization of the epileptic focus is relevant. Preoperative [(18)F]FDG-PET depicts lateralization of seizure focus in patients with temporal lobe epilepsy and reveals dysfunctional metabolic brain connectivity. The aim of the present study was to compare metabolic connectivity, inferred from inter-regional [(18)F]FDG PET uptake correlations, in right-sided (RTLE; n = 30) and left-sided TLE (LTLE; n = 32) with healthy controls (HC; n = 31) using graph theory based network analysis. Comparing LTLE and RTLE and patient groups separately to HC, we observed higher lobar connectivity weights in RTLE compared to LTLE for connections of the temporal and the parietal lobe of the contralateral hemisphere (CH). Moreover, especially in RTLE compared to LTLE higher local efficiency were found in the temporal cortices and other brain regions of the CH. The results of this investigation implicate altered metabolic networks in patients with TLE specific to the lateralization of seizure focus, and describe compensatory mechanisms especially in the CH of patients with RTLE. We propose that graph theoretical analysis of metabolic connectivity using [(18)F]FDG-PET offers an important additional modality to explore brain networks.

Indexed as

AdultBrainBrain MappingCase-Control StudiesEpilepsy, Temporal LobeFemaleFluorodeoxyglucose F18Functional LateralityHumansImage Processing, Computer-AssistedMaleMiddle AgedPositron-Emission TomographyFluorodeoxyglucose F18

Identifiers

PMID27349503
PMCPMC4923886

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Registered trials

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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.