Evidence map›Paper›PMID 31805047›Full record

ArticlePloS one2019

Alteration of the anatomical covariance network after corpus callosotomy in pediatric intractable epilepsy.

Riyo Ueda, Hiroshi Matsuda, Noriko Sato, Masaki Iwasaki, Daichi Sone, Eri Takeshita, Yuko Shimizu-Motohashi, Akihiko Ishiyama, Takashi Saito, Hirofumi Komaki and 6 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
0.5field-weighted citation impact, top 33% 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. 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

16 authors at 2 institutions in 2 countries.

Riyo UedaDepartment of Developmental Disorders, National Institute of Mental Health, National Center of Neurology and Psychiatry, Tokyo, Japan.ORCID 0000-0001-7649-5183
Hiroshi MatsudaIntegrative Brain Imaging Center, National Center of Neurology and Psychiatry, Tokyo, Japan.
Noriko SatoDepartment of Radiology, National Center Hospital, National Center of Neurology and Psychiatry, Tokyo, Japan.
Masaki IwasakiDepartment of Neurosurgery, National Center Hospital, National Center of Neurology and Psychiatry, Tokyo, Japan.ORCID 0000-0002-4204-7144
Daichi SoneIntegrative Brain Imaging Center, National Center of Neurology and Psychiatry, Tokyo, Japan.ORCID 0000-0001-9617-706X
Eri TakeshitaDepartment of Child Neurology, National Center Hospital, National Center of Neurology and Psychiatry, Tokyo, Japan.
Yuko Shimizu-MotohashiDepartment of Child Neurology, National Center Hospital, National Center of Neurology and Psychiatry, Tokyo, Japan.
Akihiko IshiyamaDepartment of Child Neurology, National Center Hospital, National Center of Neurology and Psychiatry, Tokyo, Japan.
Takashi SaitoDepartment of Child Neurology, National Center Hospital, National Center of Neurology and Psychiatry, Tokyo, Japan.
Hirofumi KomakiDepartment of Child Neurology, National Center Hospital, National Center of Neurology and Psychiatry, Tokyo, Japan.
Eiji NakagawaDepartment of Child Neurology, National Center Hospital, National Center of Neurology and Psychiatry, Tokyo, Japan.
Kenji SugaiDepartment of Child Neurology, National Center Hospital, National Center of Neurology and Psychiatry, Tokyo, Japan.
Masayuki SasakiDepartment of Child Neurology, National Center Hospital, National Center of Neurology and Psychiatry, Tokyo, Japan.
Yoshimi KagaDepartment of Developmental Disorders, National Institute of Mental Health, National Center of Neurology and Psychiatry, Tokyo, Japan.
Hiroshige TakeichiDepartment of Developmental Disorders, National Institute of Mental Health, National Center of Neurology and Psychiatry, Tokyo, Japan.ORCID 0000-0002-8545-417X
Masumi InagakiDepartment of Developmental Disorders, National Institute of Mental Health, National Center of Neurology and Psychiatry, Tokyo, Japan.
National Center of Neurology and Psychiatry · JPChiba University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study aimed to use graph theoretical analysis of anatomical covariance derived from structural MRI to reveal how the gray matter connectivity pattern is altered after corpus callosotomy (CC). MATERIALS AND

methodsWe recruited 21 patients with epilepsy who had undergone CC. Enrollment criteria were applied: (1) no lesion identified on brain MRI; (2) no history of other brain surgery; and (3) age not younger than 3 years and not older than 18 years at preoperative MRI evaluation. The most common epilepsy syndrome was Lennox-Gastaut syndrome (11 patients). For voxel-based morphometry, the normalized gray matter images of pre-CC and post-CC patients were analyzed with SPM12 (voxel-level threshold of p<0.05 [familywise error-corrected]). Secondly, the images of both groups were subjected to graph theoretical analysis using the Graph Analysis Toolbox with SPM8. Each group was also compared with 32 age- and sex-matched control patients without brain diseases.

resultsComparisons between the pre- and post-CC groups revealed a significant reduction in seizure frequency with no change in mean intelligence quotient/developmental quotient levels. There was no relationship among the three groups in global network metrics or in targeted attack. A regional comparison of betweenness centrality revealed decreased connectivity to and from the right middle cingulate gyri and medial side of the right superior frontal gyrus and a partial shift in the distribution of betweenness centrality hubs to the normal location. Significantly lower resilience to random failure was found after versus before CC and versus controls (p = 0.0450 and p = 0.0200, respectively).

conclusionGraph theoretical analysis of anatomical covariance derived from structural imaging revealed two neural network effects of resection associated with seizure reduction: the reappearance of a structural network comparable to that in healthy children and reduced connectivity along the median line, including the middle cingulate gyrus.

Indexed as

Nerve NetAdolescentCase-Control StudiesChildChild, PreschoolCorpus CallosumDrug Resistant EpilepsyFemaleHumansMagnetic Resonance ImagingMaleModels, NeurologicalRetrospective Studies

Identifiers

PMID31805047
PMCPMC6894802
OpenAlexW2992479468

What OpenQuestion holds

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LicenceCC BY
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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.