Evidence map›Paper›PMID 34105906›Full record

ArticleBrain and behavior2021

Effects of seizure burden on structural global brain networks in patients with unilateral hippocampal sclerosis.

Diogo Goulart Corrêa, Betty M Tijms, Ellen Dicks, Cláudia Rêgo, Soniza Vieira Alves-Leon, Jorge Marcondes, Emerson Leandro Gasparetto, Eelco van Duinkerken

Abstract read
In one paragraph

Article in Brain and behavior, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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

8 authors.

Diogo Goulart CorrêaClínica de Diagnóstico por Imagem (CDPI)/DASA, Avenida das Américas, Barra da Tijuca, Rio de Janeiro, Brazil.ORCID 0000-0003-4902-0021
Betty M TijmsDepartment of Neurology, Alzheimer Center, Amsterdam University Medical Centers, Vrije Universiteit, Amsterdam, The Netherlands.
Ellen DicksDepartment of Neurology, Alzheimer Center, Amsterdam University Medical Centers, Vrije Universiteit, Amsterdam, The Netherlands.
Cláudia RêgoDepartment of Neurology, Epilepsy Center, Hospital Universitário Clementino Fraga Filho, Federal University of Rio de Janeiro, Cidade Universitária, Ilha do Fundão, Rio de Janeiro, Brazil.
Soniza Vieira Alves-LeonDepartment of Neurology, Epilepsy Center, Hospital Universitário Clementino Fraga Filho, Federal University of Rio de Janeiro, Cidade Universitária, Ilha do Fundão, Rio de Janeiro, Brazil.
Jorge MarcondesDepartment of Neurology, Epilepsy Center, Hospital Universitário Clementino Fraga Filho, Federal University of Rio de Janeiro, Cidade Universitária, Ilha do Fundão, Rio de Janeiro, Brazil.
Emerson Leandro GasparettoClínica de Diagnóstico por Imagem (CDPI)/DASA, Avenida das Américas, Barra da Tijuca, Rio de Janeiro, Brazil.
Eelco van DuinkerkenInstituto Estadual do Cérebro Paulo Niemeyer, Rio de Janeiro, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and purposeTemporal lobe epilepsy secondary to hippocampal sclerosis is related to epileptogenic networks rather than a focal epileptogenic source. Graph-theoretical gray and white matter networks may help to identify alterations within these epileptogenic networks.

methodsTwenty-seven patients with hippocampal sclerosis and 14 controls underwent magnetic resonance imaging, including 3D-T1, fluid-attenuated inversion recovery, and diffusion tensor imaging. Subject-specific structural gray and white matter network properties (normalized path length, clustering, and small-worldness) were reconstructed. Group differences and differences between those with higher and lower seizure burden (<4 vs. ≥4 average monthly seizures in the last year) in network parameters were evaluated. Additionally, correlations between network properties and disease-related variables were calculated.

resultsAll patients with hippocampal sclerosis as one group did not have altered gray or white matter network properties (all p > .05). Patients with lower seizure burden had significantly lower gray matter small-worldness and normalized clustering compared to controls and those with higher seizure burden (all p < .04). A higher number of monthly seizures was significantly associated with increased gray and white matter small-worldness, indicating a more rigid network.

conclusionOverall, there were no differences in network properties in this group of patients with hippocampal sclerosis. However, patients with lower seizure burden had significantly lower gray matter network indices, indicating a more random organization. The correlation between higher monthly seizures and a more rigid network is driven by those with higher seizure burden, who presented a more rigid network compared to those with a lower seizure burden.

Indexed as

Epilepsy, Temporal LobeWhite MatterBrainDiffusion Tensor ImagingHippocampusHumansMagnetic Resonance ImagingSclerosisSeizuresgraph theorygray matter networkhippocampal sclerosismagnetic resonance imagingwhite matter network

Identifiers

PMID34105906
PMCPMC8413824

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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.