Triple network model of brain connectivity changes related to adverse mood effects in an oral contraceptive placebo-controlled trial
- PMID: 37328507
- PMCID: PMC10276024
- DOI: 10.1038/s41398-023-02470-x
Triple network model of brain connectivity changes related to adverse mood effects in an oral contraceptive placebo-controlled trial
Abstract
Combined oral contraceptives (COC) are among the most commonly used contraceptive methods worldwide, and mood side effects are the major reason for discontinuation of treatment. We here investigate the directed connectivity patterns associated with the mood side effects of an androgenic COC in a double-blind randomized, placebo-controlled trial in women with a history of affective COC side effects (n = 34). We used spectral dynamic causal modeling on a triple network model consisting of the default mode network (DMN), salience network (SN) and executive control network (ECN). Within this framework, we assessed the treatment-related changes in directed connectivity associated with adverse mood side effects. Overall, during COC use, we found a pattern of enhanced connectivity within the DMN and decreased connectivity within the ECN. The dorsal anterior cingulate cortex (SN) mediates an increased recruitment of the DMN by the ECN during treatment. Mood lability was the most prominent COC-induced symptom and also arose as the side effect most consistently related to connectivity changes. Connections that were related to increased mood lability showed increased connectivity during COC treatment, while connections that were related to decreased mood lability showed decreased connectivity during COC treatment. Among these, the connections with the highest effect size could also predict the participants' treatment group above chance.
© 2023. The Author(s).
Conflict of interest statement
Over the past three years, I. Sundstrom-Poromaa has served occasionally on advisory boards or acted as invited speaker at scientific meetings for Bayer Health Care, Gedeon Richter, Peptonics, Shire/Takeda, and Sandoz. None of the other authors has any conflicts of interest.
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- Starting Grant 850953/EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 European Research Council (H2020 Excellent Science - European Research Council)
- Starting Grant 850953/EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 European Research Council (H2020 Excellent Science - European Research Council)
- K2008-54X-200642-01-3/Vetenskapsrådet (Swedish Research Council)
- K2008-54X-200642-01-3/Vetenskapsrådet (Swedish Research Council)
- K2008-54X-200642-01-3/Vetenskapsrådet (Swedish Research Council)
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