Evidence map›Paper›PMID 33386460›Full record

ArticleApplied psychophysiology and biofeedback2021

EEG Biofeedback for Treatment of Psychogenic Non-Epileptic Seizures (PNES) in Multiple Sclerosis: A Case Report.

Fereshteh Shakibaei, Saied Sabaghypour, Farzaneh Fani Isfahani, Narges Darvishi Jazi

Abstract readCase Reports
PubMed Publisher
In one paragraph

Article in Applied psychophysiology and biofeedback, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-weighted citation impact, top 41% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Trial
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

4 authors at 4 institutions in 1 country.

Fereshteh ShakibaeiBehavioral Sciences Research Center, Medical School, Isfahan University of Medical Sciences, Isfahan, Iran.ORCID 0000-0002-9004-815X
Saied SabaghypourUniversity of Tabriz Division of Cognitive Neuroscience, Tabriz, Iran. saied.sabaghy@gmail.com.ORCID 0000-0001-7702-4359
Farzaneh Fani IsfahaniDepartment of Counseling, Faculty of Education and Psychology, University of Isfahan, Isfahan, Iran.ORCID 0000-0002-4867-750X
Narges Darvishi JaziPayame Noor University, Isfahan, Iran.ORCID 0000-0003-3800-0607
Isfahan University of Medical Sciences · IRPayame Noor University · IRUniversity of Isfahan · IRUniversity of Tabriz · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The objective of the present study was to evaluate the effectiveness of EEG biofeedback for treatment of psychogenic non-epileptic seizures (PNES) in a patient with multiple sclerosis. The patient was a 47-year-old female who has been experiencing several PNES types after being diagnosed with multiple sclerosis. She underwent 16 sessions of the EEG biofeedback over a period of two months. Following EEG biofeedback, the patient reported that her PNES attacks had stopped and the treatment resulted in significant abatement in her clinical seizure symptoms. The analysis of sensorimotor rhythm (SMR) values revealed reduction of psychogenic non-epileptic seizure. The Beck Anxiety Inventory (BAI) and Word Health Organization Quality of Life Questionnaire (WHOQOL) were used before and after treatment. Decreased anxiety as well as increased quality of life was observed after treatment. Generally, the results indicated that EEG biofeedback was a useful procedure in treating PNES, promoting quality of life and reducing anxiety in our patient with multiple sclerosis.

Indexed as

EpilepsyMultiple SclerosisNeurofeedbackElectroencephalographyFemaleHumansMiddle AgedQuality of LifeSeizuresEEG biofeedbackMultiple sclerosis (MS)Psychogenic non-epileptic seizures (PNES)Sensorimotor rhythm (SMR)

Identifiers

PMID33386460
OpenAlexW3116450534

What OpenQuestion holds

Textmetadata
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.