Evidence map›Paper›PMID 39712222›Full record

ArticleFrontiers in neuroscience2024

Brain fingerprint and subjective mood state across the menstrual cycle.

Lorenzo Cipriano, Marianna Liparoti, Emahnuel Troisi Lopez, Antonella Romano, Laura Sarno, Camille Mazzara, Fabio Alivernini, Fabio Lucidi, Giuseppe Sorrentino, Pierpaolo Sorrentino

Abstract read
In one paragraph

Article in Frontiers in neuroscience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

  1. Review
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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

10 authors.

Lorenzo Cipriano *Department of Motor Sciences and Wellness, University of Naples "Parthenope", Naples, Italy.
Marianna Liparoti *Department of Philosophical, Pedagogical and Quantitative-Economic Sciences, University of Chieti-Pescara "G. d'Annunzio", Chieti, Italy.
Emahnuel Troisi LopezInstitute of Applied Sciences and Intelligent Systems of National Research Council, Pozzuoli, Italy.
Antonella RomanoDepartment of Motor Sciences and Wellness, University of Naples "Parthenope", Naples, Italy.
Laura SarnoDepartment of Neurosciences, Reproductive Science and Dentistry, University of Naples "Federico II", Naples, Italy.
Camille MazzaraDepartment of Promoting Health, Maternal-Infant and Specialized Medicine "G. D'Alessandro", University of Palermo, Palermo, Italy.
Fabio AliverniniDepartment of Social and Developmental Psychology, Sapienza University of Rome, Rome, Italy.
Fabio LucidiDepartment of Social and Developmental Psychology, Sapienza University of Rome, Rome, Italy.
Giuseppe SorrentinoDepartment of Motor Sciences and Wellness, University of Naples "Parthenope", Naples, Italy.
Pierpaolo SorrentinoInstitut de Neurosciences des Systèmes, Aix-Marseille Université, Marseille, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Brain connectome fingerprinting represents a recent and valid approach in assessing individual identifiability on the basis of the subject-specific brain functional connectome. Although this methodology has been tested and validated in several neurological diseases, its performance, reliability and reproducibility in healthy individuals has been poorly investigated. In particular, the impact of the changes in brain connectivity, induced by the different phases of the menstrual cycle (MC), on the reliability of this approach remains unexplored. Furthermore, although the modifications of the psychological condition of women during the MC are widely documented, the possible link with the changes of brain connectivity has been poorly investigated. Methods: We conducted the Clinical Connectome Fingerprint (CCF) analysis on source-reconstructed magnetoencephalography signals in a cohort of 24 women across the MC. Results: All the parameters of identifiability did not differ according to the MC phases. The peri-ovulatory and mid-luteal phases showed a less stable, more variable over time, brain connectome compared to the early follicular phase. This difference in brain connectome stability in the alpha band significantly predicted the self-esteem level ( Conclusion: These results confirm the high reliability of the CCF as well as its independence from the MC phases. At the same time the study provides insights on changes of the brain connectome in the different phases of the MC and their possible role in affecting women's subjective mood state across the MC. Finally, these changes in the alpha band share a predictive power on self-esteem, mood and well-being.

Indexed as

brain connectivitybrain fingerprintdepressionmenstrual cycleself-esteemwell-being

Identifiers

PMID39712222
PMCPMC11659225

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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.