Evidence map›Paper›PMID 29085330›Full record

ArticleFrontiers in neurology2017

Dysfunctional Brain Networking among Autonomic Regulatory Structures in Temporal Lobe Epilepsy Patients at High Risk of Sudden Unexpected Death in Epilepsy.

Luke A Allen, Ronald M Harper, Rajesh Kumar, Maxime Guye, Jennifer A Ogren, Samden D Lhatoo, Louis Lemieux, Catherine A Scott, Sjoerd B Vos, Sandhya Rani and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neurology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed, 2 pooled it
4.7field-weighted citation impact, top 4% 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

46 citing papers in PubMed, 2 syntheses or guidelines pooled it, 87 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

11 authors at 6 institutions in 3 countries.

Luke A AllenInstitute of Neurology, University College London, London, United Kingdom.
Ronald M HarperThe Center for SUDEP Research, National Institute of Neurological Disorders and Stroke, Bethesda, MD, United States.
Rajesh KumarThe Center for SUDEP Research, National Institute of Neurological Disorders and Stroke, Bethesda, MD, United States.
Maxime GuyeAix Marseille University, CNRS, CRMBM UMR 7339, Marseille, France.
Jennifer A OgrenThe Center for SUDEP Research, National Institute of Neurological Disorders and Stroke, Bethesda, MD, United States.
Samden D LhatooThe Center for SUDEP Research, National Institute of Neurological Disorders and Stroke, Bethesda, MD, United States.
Louis LemieuxInstitute of Neurology, University College London, London, United Kingdom.
Catherine A ScottInstitute of Neurology, University College London, London, United Kingdom.
Sjoerd B VosEpilepsy Society, Chalfont St. Peter, United Kingdom.
Sandhya RaniThe Center for SUDEP Research, National Institute of Neurological Disorders and Stroke, Bethesda, MD, United States.
Beate DiehlInstitute of Neurology, University College London, London, United Kingdom.
National Institute of Neurological Disorders and Stroke · USUniversity College London · GBUniversity Hospitals Case Medical Center · USCentre National de la Recherche Scientifique · FREpilepsy Society · GBSmith-Kettlewell Eye Research Institute · US

Funding

SUDEP Translational Research Alliance (SUTRA): Autonomic and Imaging Biomarkers of SUDEP; SUTRA 3 of 7U01NS090407 · NINDS · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI DIEHL, BEATE, HARPER, RONALD MARVEN · 2014 to 2018
$7.3M
The Administrative Core of the Center of SUDEP ResearchU01NS090405 · NINDS · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI LHATOO, SAMDEN, NOEBELS, JEFFREY · 2014 to 2018
$3.2M
Medical Research Council G0200216Medical Research Council G0301067NINDS NIH HHS U01 NS090405NINDS NIH HHS U01 NS090407
6 · The paper itself

Abstract

backgroundSudden unexpected death in epilepsy (SUDEP) is common among young people with epilepsy. Individuals who are at high risk of SUDEP exhibit regional brain structural and functional connectivity (FC) alterations compared with low-risk patients. However, less is known about network-based FC differences among critical cortical and subcortical autonomic regulatory brain structures in temporal lobe epilepsy (TLE) patients at high risk of SUDEP.

methods32 TLE patients were risk-stratified according to the following clinical criteria: age of epilepsy onset, duration of epilepsy, frequency of generalized tonic-clonic seizures, and presence of nocturnal seizures, resulting in 14 high-risk and 18 low-risk cases. Resting-state functional magnetic resonance imaging (rs-fMRI) signal time courses were extracted from 11 bilateral cortical and subcortical brain regions involved in autonomic and other regulatory processes. After computing all pairwise correlations, FC matrices were analyzed using the network-based statistic. FC strength among the 11 brain regions was compared between the high- and low-risk patients. Increases and decreases in FC were sought, using high-risk > low-risk and low-risk > high-risk contrasts (with covariates age, gender, lateralization of epilepsy, and presence of hippocampal sclerosis).

resultsHigh-risk TLE patients showed a subnetwork with significantly reduced FC (

conclusionTLE patients at high risk of SUDEP showed widespread FC differences between key autonomic regulatory brain regions compared to those at low risk. The altered FC revealed here may help to shed light on the functional correlates of autonomic disturbances in epilepsy and mechanisms involved in SUDEP. Furthermore, these findings represent possible objective biomarkers which could help to identify high-risk patients and enhance SUDEP risk stratification

Indexed as

functional connectivitygraph theoryhippocampusinsularesting state

Identifiers

PMID29085330
PMCPMC5650686
OpenAlexW2759409764

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.