Evidence map›Paper›PMID 30294294›Full record

ArticleFrontiers in psychology2018

Single Dose of the Attention Training Technique Increases Resting Alpha and Beta-Oscillations in Frontoparietal Brain Networks: A Randomized Controlled Comparison.

Mark M Knowles, Adrian Wells

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Frontiers in psychology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06748976 (EEG Alpha Rhythm Modulation Using Sham Neurofeedback During Attentional Control in a Virtual Reality Environment), which is not on this map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 25% 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.

NCT06748976 recruitingnot on this mapstarted 2025, after this paper: background citation

EEG Alpha Rhythm Modulation Using Sham Neurofeedback During Attentional Control in a Virtual Reality Environment

TypeobservationalSponsorNational Council of Scientific and Technical Research, ArgentinaRan2025 to 2025Enrolled35ConditionsRumination, Chronic Pain, FibromyalgiaArmsPositive sham neurofeedback, Negative sham neurofeedback, Control
3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 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

2 authors at 1 institution in 1 country.

Mark M KnowlesManchester University Hospitals NHS Foundation Trust, Manchester, United Kingdom.
Adrian WellsManchester University Hospitals NHS Foundation Trust, Manchester, United Kingdom.
Manchester University NHS Foundation Trust · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Attention Training Technique (ATT) was developed with the aim of reducing self-focused attention and increasing executive control as part of metacognitive therapy. So far there is a paucity of data on the neurophysiological effects of ATT. In the present study we tested for specific effects to determine if attention control components of ATT elicit a specific signature that is different from passive listening. Thirty-six healthy volunteers were randomized to an active (follow instructions) or control (ignore instructions) condition. Resting state EEG was recorded for 3 min with eyes open and eyes closed before and after exposure to training, and the power of the theta, alpha, and beta-bands were analyzed in frontal, midline, and posterior electrodes. The active ATT condition enhanced alpha and beta-band activity during eyes-open, and frontal alpha during eyes-closed (

Indexed as

attentionattention training techniqueelectroencephalographyexecutive controlmetacognitive therapypsychophysiologytherapeutics

Identifiers

PMID30294294
PMCPMC6158576
OpenAlexW2891109148

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.