Evidence map›Paper›PMID 26689088›Full record

SynthesisPsychological bulletin2016

Assessing human mirror activity with EEG mu rhythm: A meta-analysis.

Nathan A Fox, Marian J Bakermans-Kranenburg, Kathryn H Yoo, Lindsay C Bowman, Erin N Cannon, Ross E Vanderwert, Pier F Ferrari, Marinus H van IJzendoorn

2 registry-linked trialsOpen access · greenAbstract readMeta-Analysis
In one paragraph

Synthesis in Psychological bulletin, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 145 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
145citing papers in PubMed, 4 pooled it
32.6field-weighted citation impact, top 1% 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.

NCT05743647 completednot on this mapstarted 2023, after this paper: background citation

Assessment of Brain Activation With Different Mirror Therapy Tasks - Contribution of EEG and fNIRS in Healthy Subjects.

TypeobservationalSponsorCentre Hospitalier Régional d'OrléansRan2023 to 2023Enrolled38ConditionsHealthyArmsObservation (OBS), Observation and imagination (OBS-IM), Observation and realization (OBS-REAL)
NCT07369193 recruitingnot on this mapstarted 2026, after this paper: background citation

Immersive AOT: Multisensory Stimulation and Neurophysiological Correlates - A Pilot Study

TypeobservationalSponsorIRCCS Fondazione Stella MarisRan2026 to 2027Enrolled40ConditionsCerebral Palsy (CP), CP (Cerebral Palsy), Motor Imagery, Action Observation
3 · Its place in the literature

Who cites it

145 citing papers in PubMed, 4 syntheses or guidelines pooled it, 446 citations in OpenAlex.

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  13. Neural Correlates for Anticipating and Observing Goal-Directed Actions in Autism.Autism research : official journal of the International Society for Autism Research · 2026
    Article
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  16. Review
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  20. Deep Learning-Based Decoding and Feature Visualization of Motor Imagery Speeds From EEG Signals.IEEE open journal of engineering in medicine and biology · 2026
    Article

85 more citing papers are in PubMed but not listed here.

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

8 authors at 3 institutions in 3 countries.

Nathan A FoxDepartment of Human Development and Quantitative Methodology, University of Maryland.
Marian J Bakermans-KranenburgCentre for Child and Family Studies, Leiden University.
Kathryn H YooDepartment of Human Development and Quantitative Methodology, University of Maryland.
Lindsay C BowmanDepartment of Human Development and Quantitative Methodology, University of Maryland.
Erin N CannonDepartment of Human Development and Quantitative Methodology, University of Maryland.
Ross E VanderwertSchool of Psychology, Cardiff University.
Pier F FerrariDepartment of Neuroscience, University of Parma.
Marinus H van IJzendoornCentre for Child and Family Studies, Leiden University.
Leiden University · NLCardiff University · GBUniversity of Parma · IT

Funding

Project IV: Investigating the Mirror Neuron System in austism spectrum disorderP01HD064653 · NICHD · UNIV OF MARYLAND, COLLEGE PARK · PI FOX, NATHAN A · 2010 to 2020
$11.9M
NICHD NIH HHS P01 HD 064653NICHD NIH HHS P01 HD064653
6 · The paper itself

Abstract

A fundamental issue in cognitive neuroscience is how the brain encodes others' actions and intentions. In recent years, a potential advance in our knowledge on this issue is the discovery of mirror neurons in the motor cortex of the nonhuman primate. These neurons fire to both execution and observation of specific types of actions. Researchers use this evidence to fuel investigations of a human mirror system, suggesting a common neural code for perceptual and motor processes. Among the methods used for inferring mirror system activity in humans are changes in a particular frequency band in the electroencephalogram (EEG) called the mu rhythm. Mu frequency appears to decrease in amplitude (reflecting cortical activity) during both action execution and action observation. The current meta-analysis reviewed 85 studies (1,707 participants) of mu that infer human mirror system activity. Results demonstrated significant effect sizes for mu during execution (Cohen's d = 0.46, N = 701) as well as observation of action (Cohen's d = 0.31, N = 1,508), confirming a mirroring property in the EEG. A number of moderators were examined to determine the specificity of these effects. We frame these meta-analytic findings within the current discussion about the development and functions of a human mirror system, and conclude that changes in EEG mu activity provide a valid means for the study of human neural mirroring. Suggestions for improving the experimental and methodological approaches in using mu to study the human mirror system are offered.

Indexed as

Brain WavesHumansMirror NeuronsMotor ActivityVisual Perception

Identifiers

PMID26689088
PMCPMC5110123
OpenAlexW2199148690

What OpenQuestion holds

Textmetadata
LicenceTDM
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.