Evidence map›Paper›PMID 34268825›Full record

ArticleThe European journal of neuroscience2022

Methodological considerations for studying neural oscillations.

Thomas Donoghue, Natalie Schaworonkow, Bradley Voytek

Abstract read
In one paragraph

Article in The European journal of neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 152 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
152citing papers in PubMed, 1 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.

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

152 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  17. Concurrent Multimodal Imaging Demonstrates That EEG-Based Excitation/Inhibition Balance Reflects Glutamate and GABA Balance.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
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92 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

3 authors.

Thomas DonoghueDepartment of Cognitive Science, University of California, San Diego, San Diego, California, USA.ORCID 0000-0001-5911-0472
Natalie SchaworonkowDepartment of Cognitive Science, University of California, San Diego, San Diego, California, USA.ORCID 0000-0002-2103-1178
Bradley VoytekDepartment of Cognitive Science, University of California, San Diego, San Diego, California, USA.ORCID 0000-0003-1640-2525

Funding

Tools for parameterizing and visualizing electrophysiological rhythmic and arrhythmic featuresR01GM134363 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI VOYTEK, BRADLEY T. · 2019 to 2022
$1.4M
NIGMS NIH HHS R01 GM134363
6 · The paper itself

Abstract

Neural oscillations are ubiquitous across recording methodologies and species, broadly associated with cognitive tasks, and amenable to computational modelling that investigates neural circuit generating mechanisms and neural population dynamics. Because of this, neural oscillations offer an exciting potential opportunity for linking theory, physiology and mechanisms of cognition. However, despite their prevalence, there are many concerns-new and old-about how our analysis assumptions are violated by known properties of field potential data. For investigations of neural oscillations to be properly interpreted, and ultimately developed into mechanistic theories, it is necessary to carefully consider the underlying assumptions of the methods we employ. Here, we discuss seven methodological considerations for analysing neural oscillations. The considerations are to (1) verify the presence of oscillations, as they may be absent; (2) validate oscillation band definitions, to address variable peak frequencies; (3) account for concurrent non-oscillatory aperiodic activity, which might otherwise confound measures; measure and account for (4) temporal variability and (5) waveform shape of neural oscillations, which are often bursty and/or nonsinusoidal, potentially leading to spurious results; (6) separate spatially overlapping rhythms, which may interfere with each other; and (7) consider the required signal-to-noise ratio for obtaining reliable estimates. For each topic, we provide relevant examples, demonstrate potential errors of interpretation, and offer suggestions to address these issues. We primarily focus on univariate measures, such as power and phase estimates, though we discuss how these issues can propagate to multivariate measures. These considerations and recommendations offer a helpful guide for measuring and interpreting neural oscillations.

Indexed as

CognitionComputer Simulationdigital signal processingelectrophysiologyneural field dataspectral analysistime series analysis

Identifiers

PMID34268825
PMCPMC8761223

What OpenQuestion holds

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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.