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Menstrual cycle modulates the effect of BDNF Val66Met variant on category learning.

Overview

Authors: Mateja Perović1, Jianqi Hou1, Michael L. Mack1
  1. Department of Psychology, University of Toronto,Toronto, ON M5S 3G3 Canada
Institutions: University of Toronto (Canada)
Journal: Biology of sex differences, volume 17, issue 1, article 65
Dates: received 6 September 2025; accepted 11 February 2026; published online 1 March 2026
Type: Research article · Language: English
License: CC BY
Identifiers: DOI 10.1186/s13293-026-00856-2 · PMID 41765930 · PMCID PMC13059548 · OpenAlex W7133126739
Open access: gold, a free copy (OpenAlex)
Status: code found, not verified yet
Categories: genetics / omics (modality), human (organism), cognitive (subfield)
Methods: Statistics
Keywords: Behavioral genetics, Learning and memory, Concept formation, Estrogen, Brain-derived neurotrophic factor
MeSH: Brain-Derived Neurotrophic Factor*, Learning*, Menstrual Cycle*, Polymorphism, Single Nucleotide*, Adult, Estradiol, Female, Genotype, Humans, Young Adult (* major topic)
Topic: Nerve injury and regeneration (Cellular and Molecular Neuroscience, Neuroscience), according to OpenAlex
Funding: Natural Sciences and Engineering Research Council of Canada (RGPIN-2017-06753); Canada Foundation for Innovation and Ontario Research Fund (36601); Brain Canada Future Leaders in Canadian Brain Research Grant
Citations: cited by 1 paper (Europe PMC); 111 references in the paper

Abstract

Background: Both brain-derived neurotrophic factor (BDNF) and ovarian hormones are powerful neuromodulators, yet evidence of their impact on human cognition remains mixed. As prior work has studied them in isolation, examining their interacting effects presents a key empirical opportunity for explicating their effects on cognition.

Methods: We genotyped participants for the BDNF Val66Met single nucleotide polymorphism, which is associated with less efficient activity-dependent BDNF secretion and altered hippocampal function, and examined their performance on a complex learning task at two points in the menstrual cycle: early follicular (characterized by low levels of ovarian hormones) and late follicular (characterized by high estradiol).

Results: While met carriers showed advantages during the early follicular timepoint, val homozygotes outperformed them at the late follicular timepoint. Furthermore, effects in met carriers were largely driven by increased sensitivity to both absolute levels and changes in levels of estradiol.

Conclusions: The current findings provide the first evidence of BDNF Val66Met interacting with the menstrual cycle to predict cognition, demonstrate nuanced genotype- and hormone-specific outcomes, and underscore the importance of studying effects of interacting biological systems on human cognition.

Supplementary Information: The online version contains supplementary material available at 10.1186/s13293-026-00856-2.

Reproduced under the paper's license (CC BY), from the paper cited above.

Code

No file of the authors' code could be read here: it is described below, and read at its source.

OSF wfecv

License: none: the authors keep all their rights
State: unreachable at the last attempt, verified on 30 September 2026
Evidence: found in the paper
Software Heritage: not checked
Found in: “Data availability”
Not found: README, license file, CITATION.cff, environment file, tests, continuous integration, documentation
Availability: 1 check, the latest on 30 September 2026: unreachable at the last attempt (HTTP 401)
  • 30 September 2026: unreachable at the last attempt (HTTP 401)

The paper's code and data availability statement is in the Data section.

Tracing map

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  • 1 repository of the authors' code, each at its verified commit, with its license and how the link was found in the paper;
  • 0 scripts, each with its path and the digest of its content;
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Data

No dataset and no data link were found in the paper.

Data availability

Code, as well as data necessary to reproduce the main analyses will be made available on OSF upon publication: [https://osf.io/wfecv/](https:/osf.io/wfecv) Demographic data will not be shared in order to ensure that no sensitive genotype or hormone information can be linked to individual participants.

Reproduced under the paper's license (CC BY), from the paper cited above.

Versions

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Version 1, 30 September 2026: the first record

Recorded: type, language, journal, volume, issue, pages, dates, 3 authors, 5 keywords, 10 MeSH terms, 3 funders, 111 references.

Cite

This paper

Perović, M., Hou, J., & Mack, M. L. (2026). Menstrual cycle modulates the effect of BDNF Val66Met variant on category learning. Biology of sex differences, 17(1), 65. https://doi.org/10.1186/s13293-026-00856-2

BibTeX

@article{perovic2026menstrual,
author = {Perović, Mateja and Hou, Jianqi and Mack, Michael L.},
title = {{Menstrual cycle modulates the effect of BDNF Val66Met variant on category learning}},
journal = {Biology of sex differences},
year = {2026},
month = mar,
volume = {17},
number = {1},
pages = {65},
publisher = {BMC},
issn = {2042-6410},
doi = {10.1186/s13293-026-00856-2},
url = {https://doi.org/10.1186/s13293-026-00856-2},
pmid = {41765930},
pmcid = {PMC13059548}
}

RIS

TY - JOUR
AU - Perović, Mateja
AU - Hou, Jianqi
AU - Mack, Michael L.
TI - Menstrual cycle modulates the effect of BDNF Val66Met variant on category learning
T2 - Biology of sex differences
J2 - Biol Sex Differ
PY - 2026
DA - 2026/03/01
VL - 17
IS - 1
SP - 65
SN - 2042-6410
PB - BMC
DO - 10.1186/s13293-026-00856-2
UR - https://doi.org/10.1186/s13293-026-00856-2
LA - en
ER -

CSL-JSON

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The tracing map gets a citation of its own once an author has validated it and it has a DOI.

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