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Cited by 82

The DOI matches its Crossref record; 56 of the 56 references it cites were found in a registry or an index.

Sex hormones and mental rotation: an intensive longitudinal investigation.

Courvoisier, Delphine S., Renaud, Olivier, Geiser, Christian, Paschke, Kerstin, Gaudy, Kevin, Jordan, Kirsten·2013·Hormones and Behavior

Abstract

The present study used an intensive longitudinal design to examine whether mental rotation performance varies according to a monthly cycle in both males and females and whether these variations are related to variations in progesterone, estradiol, and testosterone levels. We collected reaction time and accuracy data for 10 males and seven females each workday over eight weeks using 136 pairs of mental rotation stimuli/day, and measured sexual hormones concentrations in the saliva twice a week. A mixed linear model statistical analysis revealed that all females and seven males showed significant cycle effects in mental rotation performance. The female cycle showed an amplitude that was twice as large compared with the amplitude found in males. For males and females, estradiol and testosterone were significantly linearly and quadratically related to interindividual variation in performance at the beginning of the study (progesterone was linearly related to performance for females). The association between testosterone and performance differed across sexes: for males, it had an inverse U-shape, for females it was U-shaped. Towards the end of the study, none of the hormones were significantly related to performance anymore. Thus, the relationship between hormones and mental rotation performance disappeared with repeated testing. Only estradiol levels were significantly elevated at the lowest point of the cycle in mental rotation performance in females. In conclusion, in this inte…

Overview

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Crossref · 10.1016/j.yhbeh.2012.12.007

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Metadata

Authors
Courvoisier, D. S., Renaud, O., Geiser, C., Paschke, K., Gaudy, K., & Jordan, K.
Venue
Hormones and Behavior
Publisher
Elsevier BV
Published
2013-02
Volume
63
Issue
2
Pages
345-351
ISSN
0018-506X
Cited by
82
References
56
Language
en

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.