Evidence map›Paper›PMID 42519421›Full record

ArticleFrontiers in global women's health2026

A brain-first framework for perimenopause management: the case for non-invasive neuromodulation.

Emilė Radytė, Ieva Karvelyte

Abstract read
In one paragraph

Article in Frontiers in global women's health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Emilė RadytėSamphire Neuroscience, London, United Kingdom.
Ieva KarvelyteSamphire Neuroscience, London, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The menopause transition affects approximately half the global population yet remains substantially under-researched and under-treated. Standard care is dominated by menopausal hormone therapy (MHT), with adjunctive use of selective serotonin and noradrenaline reuptake inhibitors and, more recently, neurokinin-3 receptor antagonists. While these approaches have transformed care for vasomotor symptoms, they leave significant unmet needs across cognitive, affective, and sleep-related domains, and remain unsuitable or undesirable for many women. In this Perspective, we argue for a complementary brain-first framework for perimenopause management. Four converging lines of evidence support this framing: perimenopause is fundamentally a loss of cyclical predictability rather than a gradual hormone deficiency, with progesterone-driven loss of inhibitory neurosteroidal tone preceding estradiol variability; vasomotor symptoms originate centrally in hypothalamic kisspeptin/neurokinin B/dynorphin circuits; the perimenopausal brain undergoes measurable structural, metabolic, and network-level reorganization; and these brain-mediated changes can precede and outlast peripheral hormonal markers, with marked inter-individual variability that systemic hormone levels alone do not capture. Within this framework, we examine non-invasive brain stimulation-specifically transcranial direct current stimulation (tDCS)-as a candidate brain-first intervention. We synthesize existing tDCS evidence relevant to perimenopausal symptom clusters, identify gaps in dedicated trials, and outline future research priorities, including outcome measures, study populations, and integration with digital health platforms. The brain-first framing is offered as complementary to, not in place of, established hormonal and pharmacological approaches.

Indexed as

cognitionmenopausemood disordersperimenopausetranscranial direct current stimulationwomen’s health

Identifiers

PMID42519421
PMCPMC13381820

What OpenQuestion holds

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Registered trials

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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.