Evidence map›Paper›PMID 30181587›Full record

ReviewTranslational psychiatry2018

Gamma oscillations as a biomarker for major depression: an emerging topic.

Paul J Fitzgerald, Brendon O Watson

Registry-linked trialAbstract readReview
In one paragraph

Review in Translational psychiatry, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05680220 (A Double-blinded, Randomized Placebo-controlled Trial of 40 Hz Light Neurostimulation Therapy for Patients With Depression), which is not on this map. Cited by 146 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
146citing papers in PubMed, 5 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.

NCT05680220 narecruitingnot on this mapstarted 2023, after this paper: background citation

A Double-blinded, Randomized Placebo-controlled Trial of 40 Hz Light Neurostimulation Therapy for Patients With Depression

TypeinterventionalSponsorKlaus MartinyRan2023 to 2027Enrolled60ConditionsMajor Depressive Disorder, Treatment Resistant DepressionArmsNeurostimulation System (NSS): Active Setting, Neurostimulation System (NSS): Sham Setting
3 · Its place in the literature

Who cites it

146 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Effects of transcranial alternating current stimulation on cognitive function in older adults: a systematic review and meta-analysis of randomized controlled trials.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2025
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  7. A randomized cross-over trial to define neurophysiological correlates of AV-101 N-methyl-D-aspartate receptor blockade in healthy veterans.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2021
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  17. Synaptic density in the hippocampus of depressed patients: A quantitative electron microscopic study.Progress in neuro-psychopharmacology & biological psychiatry · 2026
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86 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Paul J FitzgeraldDepartment of Psychiatry, University of Michigan, Ann Arbor, MI, 48109-5720, USA.
Brendon O WatsonDepartment of Psychiatry, University of Michigan, Ann Arbor, MI, 48109-5720, USA. brendonw@med.umich.edu.ORCID http://orcid.org/0000-0002-9940-4579

Funding

Role of waking activity in determining sleep-based modification of cortical circuitsK08MH107662 · NIMH · WEILL MEDICAL COLL OF CORNELL UNIV · PI WATSON, BRENDON O · 2015 to 2018
$697k
NIMH NIH HHS K08 MH107662
6 · The paper itself

Abstract

Identifying biomarkers for major depression is of high importance for improving diagnosis and treatment of this common and debilitating neuropsychiatric disorder, as the field seeks to move toward both personalized and more effective treatments. Here we focus on electroencephalography (EEG) or direct scalp voltage recordings as such a biomarker, with an emphasis on gamma and high gamma oscillations (or "rhythms"). In the last several decades, alpha and theta band rhythms have been found to provide information on depressive state as well as recovery, but the gamma band is less well characterized with respect to depression. We summarize some key findings on gamma rhythms (especially their amplitude) as a biomarker or endophenotype for major depression. These studies suggest: (1) under certain conditions gamma rhythms can distinguish subjects with major depression from healthy controls, (2) gamma may distinguish bipolar disorder from unipolar depression, (3) various pharmacological and non-pharmacological treatments that counteract depression also alter gamma, (4) animal models of depression-like behavior show gamma abnormalities, with changes in gamma associated with therapeutic recovery. The most informative approaches in the future may combine profiles of gamma band power across the brain to assess ratios of activity across regions. Overall we have good evidence to suggest that gamma rhythms may provide objective information on major depressive disease status, but we will need further work to better define the precise measures to follow.

Indexed as

Gamma RhythmAnimalsBiomarkersCerebral CortexDiagnosis, DifferentialDisease Models, AnimalHumansMajor Depressive DisorderNeural PathwaysBiomarkers

Identifiers

PMID30181587
PMCPMC6123432

What OpenQuestion holds

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LicenceCC BY
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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.