Evidence map›Paper›PMID 26236626›Full record

ArticleNeuroImage. Clinical2014

Connectivity and tissue microstructural alterations in right and left temporal lobe epilepsy revealed by diffusion spectrum imaging.

Alia Lemkaddem, Alessandro Daducci, Nicolas Kunz, François Lazeyras, Margitta Seeck, Jean-Philippe Thiran, Serge Vulliémoz

Abstract read
In one paragraph

Article in NeuroImage. Clinical, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing 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

35 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Impaired interhemispheric synchrony and effective connectivity in right temporal lobe epilepsy.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2024
    Article
  5. Neurobehavioral and Clinical Comorbidities in Epilepsy: The Role of White Matter Network Disruption.The Neuroscientist : a review journal bringing neurobiology, neurology and psychiatry · 2024
    Review
  6. Article
  7. Review
  8. Interictal intracranial EEG asymmetry lateralizes temporal lobe epilepsy.medRxiv : the preprint server for health sciences · 2023
    Article
  9. Subcortical Functional Connectivity Gradients in Temporal Lobe Epilepsy.medRxiv : the preprint server for health sciences · 2023
    Article
  10. Article
  11. Article
  12. Recent Advances in Neuroimaging of Epilepsy.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2021
    Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. 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

7 authors.

Alia LemkaddemEcole Polythechnique Fédéral de Lausanne, Signal Processing Laboratories (LTS5), Lausanne, Switzerland.
Alessandro DaducciEcole Polythechnique Fédéral de Lausanne, Signal Processing Laboratories (LTS5), Lausanne, Switzerland ; Dpt of Radiology, University Hospital and University of Lausanne, Switzerland.
Nicolas KunzCentre d'Imagerie BioMédicale (CIBM-AIT), Ecole Polythechnique Fédéral de Lausanne, Lausanne, Switzerland.
François LazeyrasDpt of Radiology, University Hospital of Geneva, Switzerland.
Margitta SeeckEpilepsy Unit, Neurology Clinic, University Hospitals and Faculty of Medicine of Geneva, Switzerland.
Jean-Philippe ThiranEcole Polythechnique Fédéral de Lausanne, Signal Processing Laboratories (LTS5), Lausanne, Switzerland ; Dpt of Radiology, University Hospital and University of Lausanne, Switzerland.
Serge VulliémozEpilepsy Unit, Neurology Clinic, University Hospitals and Faculty of Medicine of Geneva, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Focal epilepsy is increasingly recognized as the result of an altered brain network, both on the structural and functional levels and the characterization of these widespread brain alterations is crucial for our understanding of the clinical manifestation of seizure and cognitive deficits as well as for the management of candidates to epilepsy surgery. Tractography based on Diffusion Tensor Imaging allows non-invasive mapping of white matter tracts in vivo. Recently, diffusion spectrum imaging (DSI), based on an increased number of diffusion directions and intensities, has improved the sensitivity of tractography, notably with respect to the problem of fiber crossing and recent developments allow acquisition times compatible with clinical application. We used DSI and parcellation of the gray matter in regions of interest to build whole-brain connectivity matrices describing the mutual connections between cortical and subcortical regions in patients with focal epilepsy and healthy controls. In addition, the high angular and radial resolution of DSI allowed us to evaluate also some of the biophysical compartment models, to better understand the cause of the changes in diffusion anisotropy. Global connectivity, hub architecture and regional connectivity patterns were altered in TLE patients and showed different characteristics in RTLE vs LTLE with stronger abnormalities in RTLE. The microstructural analysis suggested that disturbed axonal density contributed more than fiber orientation to the connectivity changes affecting the temporal lobes whereas fiber orientation changes were more involved in extratemporal lobe changes. Our study provides further structural evidence that RTLE and LTLE are not symmetrical entities and DSI-based imaging could help investigate the microstructural correlate of these imaging abnormalities.

Indexed as

AdolescentAdultBrainConnectomeDiffusion Tensor ImagingEpilepsy, Temporal LobeFemaleHumansImage Interpretation, Computer-AssistedMaleMiddle AgedNerve NetNeural PathwaysReproducibility of ResultsSensitivity and SpecificityYoung AdultConnectomeDiffusion MRIDSIGFANetwork measuresNODDITemporal lobe epilepsyTractography

Identifiers

PMID26236626
PMCPMC4519999

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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.