Cipriano Lorenzo, Liparoti Marianna, Troisi Lopez Emahnuel, Romano Antonella, Sarno Laura, Mazzara Camille, Alivernini Fabio, Lucidi Fabio, Sorrentino Giuseppe, Sorrentino Pierpaolo
Department of Motor Sciences and Wellness, University of Naples "Parthenope", Naples, Italy.
Department of Philosophical, Pedagogical and Quantitative-Economic Sciences, University of Chieti-Pescara "G. d'Annunzio", Chieti, Italy.
Front Neurosci. 2024 Dec 6;18:1432218. doi: 10.3389/fnins.2024.1432218. eCollection 2024.
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.
We conducted the Clinical Connectome Fingerprint (CCF) analysis on source-reconstructed magnetoencephalography signals in a cohort of 24 women across the MC.
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 (-value <0.01), mood (-value <0.01) and five (environmental mastery, personal growth, positive relations with others, purpose in life, and self-acceptance) of the six dimensions of well-being (-value <0.01, save autonomy).
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.
脑连接组指纹识别是一种基于个体特异性脑功能连接组评估个体可识别性的最新有效方法。尽管该方法已在多种神经系统疾病中进行了测试和验证，但其在健康个体中的性能、可靠性和可重复性研究较少。特别是，月经周期（MC）不同阶段引起的脑连接变化对该方法可靠性的影响仍未得到探索。此外，尽管女性在月经周期期间心理状况的变化有大量记录，但与脑连接变化的可能联系研究较少。
我们对24名处于月经周期的女性队列的源重建脑磁图信号进行了临床连接组指纹（CCF）分析。
所有可识别性参数在月经周期各阶段并无差异。与卵泡早期相比，排卵期和黄体中期的脑连接组随时间变化更不稳定、更具变异性。α波段脑连接组稳定性的这种差异显著预测了自尊水平（P值<0.01）、情绪（P值<0.01）以及幸福感六个维度中的五个维度（环境掌控、个人成长、与他人的积极关系、生活目标和自我接纳）（P值<0.01，自主性维度除外）。
这些结果证实了CCF的高可靠性及其与月经周期各阶段的独立性。同时，该研究揭示了月经周期不同阶段脑连接组的变化及其在影响女性整个月经周期主观情绪状态方面的可能作用。最后，α波段的这些变化对自尊、情绪和幸福感具有预测能力。
