Evidence map›Paper›PMID 35755198›Full record

ArticleComprehensive psychoneuroendocrinology2022

Cognitive function evaluation in premenstrual syndrome during the follicular and luteal phases using near-infrared spectroscopy.

Makiko Aoki, Masato Suzuki, Satoshi Suzuki, Hidenobu Takao, Hisayo Okayama

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Comprehensive psychoneuroendocrinology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06785766 (Investigating the Effects of Yoga-Based Exercises on Balance, Cognitive Function, Posture, and Body Awareness in Young Adults With Premenstrual Syndrome), which is not on this map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.6field-weighted citation impact, top 18% of its field
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.

NCT06785766 naenrolling by invitationnot on this mapstarted 2025, after this paper: background citation

Investigating the Effects of Yoga-Based Exercises on Balance, Cognitive Function, Posture, and Body Awareness in Young Adults With Premenstrual Syndrome

TypeinterventionalSponsorIzmir Democracy UniversityRan2025 to 2026Enrolled60ConditionsPremenstrual Syndrome-PMSArmsYoga-Based Exercise Program
3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
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  4. Review
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

5 authors at 3 institutions in 1 country.

Makiko AokiGraduate School of Comprehensive Human Science, University of Tsukuba, Japan.
Masato SuzukiGraduate School of Science, University of Hyogo, Japan.
Satoshi SuzukiFaculty of Health and Medical Sciences, Kanagawa Institute of Technology, Japan.
Hidenobu TakaoFaculty of Creative Engineering, Kanagawa Institute of Technology, Japan.
Hisayo OkayamaFaculty of Medicine, University of Tsukuba, Japan.
Kanagawa Institute of Technology · JPUniversity of Tsukuba · JPUniversity of Hyogo · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Many adult females experience periodic mental and physical symptoms associated with premenstrual syndrome (PMS). Diagnosis of PMS is generally based on self-reported symptoms over several menstrual cycles, but there are concerns about its accuracy and duration. It is well known that decreased cognitive function is one of the symptoms of PMS. Near-infrared spectroscopy (NIRS) is one of the methods for imaging brain activity, similar to magnetic resonance imaging (MRI), electroencephalography (EEG), and positron emission tomography (PET). NIRS has been used to assess cognitive function decline demonstrated by decline in brain activity. However, to the best of our knowledge, there have been no report characterizing brain activity pattern in females with PMS during the luteal and follicular phases separately. Objective: We aimed to characterize the cognitive function of females with PMS during the follicular and luteal phases using NIRS. Methods: The level of brain activity in the prefrontal cortex was detected with NIRS while PMS women were performing cognitive tasks. NIRS detected brain activity by measuring the oxy-hemoglobin and deoxy-hemoglobin levels. Participants were females between the ages of 20 and 25 with PMS (n = 11) and without PMS (n = 11). During the participants' follicular and luteal phases, the participants were asked to perform the cognitive task; an N-back task ( Results: The correct response rate on the Conclusion: The cognitive decline during the luteal phase in participants with PMS was detected by NIRS with significant differences from participants without PMS. The difference was observed only during the luteal phase, not in the follicular phase and were related to the increase in negative mood. These results may provide an objective method for diagnosing PMS based on brain activity. We believe that the use of instruments (e.g., NIRS, MRI, EEG … etc.) to detect cognitive function decline will lead to rapid and reliable diagnosis of PMS and premenstrual dysphoric disorder.

Indexed as

Cognitive functionLuteal phaseMoodNear-infrared spectroscopy (NIRS)OxyhemoglobinPremenstrual syndrome (PMS)

Identifiers

PMID35755198
PMCPMC9216448
OpenAlexW4210471419

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.