Evidence map›Paper›PMID 27865882›Full record

ReviewInternational journal of psychophysiology : official journal of the International Organization of Psychophysiology2017

Assessing and conceptualizing frontal EEG asymmetry: An updated primer on recording, processing, analyzing, and interpreting frontal alpha asymmetry.

Ezra E Smith, Samantha J Reznik, Jennifer L Stewart, John J B Allen

Registry-linked trialAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in International journal of psychophysiology : official journal of the International Organization of Psychophysiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06169631 (The Effects of Noninvasive Brain Stimulation on Mental States, Behavior, and Electrophysiology), which is not on this map. Cited by 110 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
110citing papers in PubMed, 7 pooled it
–field-weighted citation impact
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.

NCT06169631 naunknown statusnot on this mapstarted 2023, after this paper: background citation

The Effects of Noninvasive Brain Stimulation on Mental States, Behavior, and Electrophysiology

TypeinterventionalSponsorSanmai Technologies PBC dba SanmaiRan2023 to 2024Enrolled100ConditionsAnxiety DisordersArmsGen0b
3 · Its place in the literature

Who cites it

110 citing papers in PubMed, 7 syntheses or guidelines pooled it.

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50 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

4 authors.

Ezra E SmithDepartment of Psychology, University of Arizona, United States.
Samantha J ReznikDepartment of Psychology, University of Arizona, United States.
Jennifer L StewartDepartment of Psychology, Queens College, City University of New York, United States; Department of Psychology, The Graduate Center, City University of New York, United States.
John J B AllenDepartment of Psychology, University of Arizona, United States. Electronic address: John.JB.Allen@Arizona.edu.

Funding

Trait and State Frontal Brain Asymmetry in DepressionR01MH066902 · NIMH · UNIVERSITY OF ARIZONA · PI ALLEN, JOHN J. · 2004 to 2008
$1.6M
Identifying EEG indices of neural systems underlying risk for MDDR21MH101398 · NIMH · UNIVERSITY OF ARIZONA · PI ALLEN, JOHN J., SCHNYER, DAVID M · 2014 to 2015
$421k
NIMH NIH HHS R01 MH066902NIMH NIH HHS R21 MH101398
6 · The paper itself

Abstract

Frontal electroencephalographic (EEG) alpha asymmetry is widely researched in studies of emotion, motivation, and psychopathology, yet it is a metric that has been quantified and analyzed using diverse procedures, and diversity in procedures muddles cross-study interpretation. The aim of this article is to provide an updated tutorial for EEG alpha asymmetry recording, processing, analysis, and interpretation, with an eye towards improving consistency of results across studies. First, a brief background in alpha asymmetry findings is provided. Then, some guidelines for recording, processing, and analyzing alpha asymmetry are presented with an emphasis on the creation of asymmetry scores, referencing choices, and artifact removal. Processing steps are explained in detail, and references to MATLAB-based toolboxes that are helpful for creating and investigating alpha asymmetry are noted. Then, conceptual challenges and interpretative issues are reviewed, including a discussion of alpha asymmetry as a mediator/moderator of emotion and psychopathology. Finally, the effects of two automated component-based artifact correction algorithms-MARA and ADJUST-on frontal alpha asymmetry are evaluated.

Indexed as

Signal Processing, Computer-AssistedAlpha RhythmFrontal LobeHumansFrontal EEG asymmetryICA artifact correctionSignal processingStatistical models

Identifiers

PMID27865882
PMCPMC6449497

What Socratic 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 Socratic graph.