Evidence map›Paper›PMID 35310086›Full record

ArticleFrontiers in neuroscience2022

Electrodermal Activity Biofeedback Alters Evolving Functional Brain Networks in People With Epilepsy, but in a Non-specific Manner.

Sophia Schach, Thorsten Rings, Madeleine Bregulla, Juri-Alexander Witt, Timo Bröhl, Rainer Surges, Randi von Wrede, Klaus Lehnertz, Christoph Helmstaedter

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.2field-weighted citation impact, top 24% 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

6 citing papers in PubMed, 11 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

9 authors at 2 institutions in 1 country.

Sophia SchachDepartment of Epileptology, University Hospital Bonn, Bonn, Germany.
Thorsten RingsDepartment of Epileptology, University Hospital Bonn, Bonn, Germany.
Madeleine BregullaDepartment of Epileptology, University Hospital Bonn, Bonn, Germany.
Juri-Alexander WittDepartment of Epileptology, University Hospital Bonn, Bonn, Germany.
Timo BröhlDepartment of Epileptology, University Hospital Bonn, Bonn, Germany.
Rainer SurgesDepartment of Epileptology, University Hospital Bonn, Bonn, Germany.
Randi von WredeDepartment of Epileptology, University Hospital Bonn, Bonn, Germany.
Klaus LehnertzDepartment of Epileptology, University Hospital Bonn, Bonn, Germany.
Christoph HelmstaedterDepartment of Epileptology, University Hospital Bonn, Bonn, Germany.
University Hospital Bonn · DEUniversity of Bonn · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is evidence that biofeedback of electrodermal activity (EDA) can reduce seizure frequency in people with epilepsy. Prior studies have linked EDA biofeedback to a diffuse brain activation as a potential functional mechanism. Here, we investigated whether short-term EDA biofeedback alters EEG-derived large-scale functional brain networks in people with epilepsy. In this prospective controlled trial, thirty participants were quasi-randomly assigned to one of three biofeedback conditions (arousal, sham, or relaxation) and performed a single, 30-min biofeedback training while undergoing continuous EEG recordings. Based on the EEG, we derived evolving functional brain networks and examined their topological, robustness, and stability properties over time. Potential effects on attentional-executive functions and mood were monitored

Indexed as

biofeedbackEEGelectrodermal activityepilepsyevolving functional brain networknetwork characteristics

Identifiers

PMID35310086
PMCPMC8927283
OpenAlexW4214899154

What OpenQuestion holds

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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.