Evidence map›Paper›PMID 41612075›Full record

SynthesisArchives of women's mental health2026

A systematic review of resting-state EEG across the menstrual cycle and its mental health relevance.

Mónica Dafne García-Granados, Manuel Alejandro Cruz-Aguilar, Leonor Estela Hernández-López, Ricardo Mondragón-Ceballos, Lucía Martínez-Mota, Ana Paula Rivera-García, Ignacio Ramírez-Salado

Abstract readSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Archives of women's mental health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

1 citing paper in PubMed.

  1. The influence of sex on cognition in psychosis.Schizophrenia research. Cognition · 2026
    Article
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

7 authors.

Mónica Dafne García-GranadosInstituto Nacional de Psiquiatría "Ramón de la Fuente Muñiz", CDMX, Ciudad de México, Mexico. dgarcia@inprf.gob.mx.
Manuel Alejandro Cruz-AguilarInstituto Nacional de Psiquiatría "Ramón de la Fuente Muñiz", CDMX, Ciudad de México, Mexico.
Leonor Estela Hernández-LópezInstituto Nacional de Psiquiatría "Ramón de la Fuente Muñiz", CDMX, Ciudad de México, Mexico.
Ricardo Mondragón-CeballosInstituto Nacional de Psiquiatría "Ramón de la Fuente Muñiz", CDMX, Ciudad de México, Mexico.
Lucía Martínez-MotaInstituto Nacional de Psiquiatría "Ramón de la Fuente Muñiz", CDMX, Ciudad de México, Mexico.
Ana Paula Rivera-GarcíaInstituto Nacional de Psiquiatría "Ramón de la Fuente Muñiz", CDMX, Ciudad de México, Mexico.
Ignacio Ramírez-SaladoInstituto Nacional de Psiquiatría "Ramón de la Fuente Muñiz", CDMX, Ciudad de México, Mexico.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis systematic review aims to synthesize current evidence on resting-state EEG activity across the menstrual cycle. Specifically, it explores whether cyclical hormonal fluctuations of estradiol and progesterone are associated with electrophysiological changes and evaluates the potential of resting-state EEG as a possible biomarker for neurophysiological changes related to mood, cognition, and emotional well-being across the healthy menstrual cycle.

methodsA systematic search of PubMed, Web of Science, Scopus, SpringerLink, and PsycINFO was conducted to January 2025, identifying 23 relevant studies. PRISMA guidelines were followed to extract relevant articles, and we assessed the quality of the evidence using the GRADE approach.

resultsA total of 23 studies met the inclusion criteria. The most convergent findings show that the alpha EEG activity in frontal, parietal, and temporal brain areas tends to decrease, and the theta activity tends to increase during the late follicular phase (characterized by high estradiol and low progesterone) compared to the luteal phase (when estradiol level is lower and progesterone is higher). This resting-state electrophysiological activity could reflect greater attentional efficiency, emotional well-being, and a reduction in self-referential processing in the days surrounding ovulation. Findings for delta, beta, and gamma bands remain inconclusive.

conclusionsThis review suggests that resting-state EEG may serve as a potential biomarker of hormone-related changes in brain activity, offering preliminary insights for further research and early detection of hormone-sensitive mood disorders.

Indexed as

BrainElectroencephalographyMenstrual CycleMental HealthAffectBiomarkersCognitionEstradiolFemaleHumansProgesteroneBiomarkersEstradiolProgesteroneEstradiolMenstrual cycleProgesteroneResting-state EEGWomen’s mental health

Identifiers

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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.