Evidence map›Paper›PMID 29681801›Full record

ReviewFrontiers in neuroanatomy2018

Anatomy Based Networks and Topology Alteration in Seizure-Related Cognitive Outcomes.

Qian Wu, Charlie W Zhao, Zhe Long, Bo Xiao, Li Feng

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in neuroanatomy, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.4field-weighted citation impact, top 20% 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

13 citing papers in PubMed, 21 citations in OpenAlex.

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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

5 authors at 4 institutions in 3 countries.

Qian WuDepartment of Neurology, First Affiliated Hospital, Kunming Medical University, Kunming, China.
Charlie W ZhaoDepartment of Neuroscience, Yale School of Medicine, Yale University, New Haven, CT, United States.
Zhe LongSydney Medical School and the Brain & Mind Institute, The University of Sydney, Camperdown, NSW, Australia.
Bo XiaoDepartment of Neurology, Xiangya Hospital, Central South University, Changsha, China.
Li FengDepartment of Neurology, Xiangya Hospital, Central South University, Changsha, China.
Xiangya Hospital Central South University · CNKunming Medical University · CNUniversity of Sydney · AUYale University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Epilepsy is a paroxysmal neurological disorder characterized by recurrent and unprovoked seizures affecting approximately 50 million people worldwide. Cognitive dysfunction induced by seizures is a severe comorbidity of epilepsy and epilepsy syndromes and reduces patients' quality of life. Seizures, along with accompanying histopathological and pathophysiological changes, are associated with cognitive comorbidities. Advances in imaging technology and computing allow anatomical and topological changes in neural networks to be visualized. Anatomical components including the hippocampus, amygdala, cortex, corpus callosum (CC), cerebellum and white matter (WM) are the fundamental components of seizure- and cognition-related topological networks. Damage to these structures and their substructures results in worsening of epilepsy symptoms and cognitive dysfunction. In this review article, we survey structural, network changes and topological alteration in different regions of the brain and in different epilepsy and epileptic syndromes, and discuss what these changes may mean for cognitive outcomes related to these disease states.

Indexed as

cognitionepilepsynetworksseizuretopology

Identifiers

PMID29681801
PMCPMC5898178
OpenAlexW2795805828

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.