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Purpose <p>This study explores white matter (WM) microstructural changes across different phases of the menstrual cycle (MC) in healthy women.</p> Methods <p>Using the publicly available Hormon Health Study dataset, we performed a differential tractography study on Q-space Trajectory Imaging sequences from 22 participants, assessing WM microstructural changes between three specific time points: (a) Menses phase (M-phase), (b) Ovulation phase (O-phase), and (c) Mid-Luteal phase (ML-phase). The difference between specific MC-phase scans were calculated by the scheme “phase - previous phase” of the MC in three distinct analyses: (a) Analysis 1 (O-phase – M-Phase); (b) Analysis 2 (ML-phase – O-phase); (c) Analysis 3 (M-phase – ML-phase). Quantitative anisotropy (QA), was employed to quantify changes in WM structure. A p-value corrected for false discovery rate (p-FDR) &lt; 0.05 was used to identify statistically significant results.</p> Results <p>Significant reductions in QA were widespread observed in Analysis 1 (O-phase – M-Phase; p-FDR = 0.00026802), and Analysis 2 (ML-phase – O-phase; p-FDR = 0.00000242), while increased QA values were observed in Analysis 3 (M-phase – ML-phase; p-FDR = 0.00002051).</p> Conclusion <p>This study provides evidence of cyclic WM microstructural changes during the MC. These results may offer insights into the mechanisms underlying MC-related brain physiological and pathological changes.</p>

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White matter microstructural changes across the menstrual cycle: a differential tractography study

  • 期刊论文

  • 发表日期：

    2025年5月31日

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  • Michele Porcu,
  • Luigi Cocco,
  • Luca Pasquini,
  • Jasjit S. Suri,
  • Francesco Marrosu,
  • Luca Saba

摘要

Purpose

This study explores white matter (WM) microstructural changes across different phases of the menstrual cycle (MC) in healthy women.

Methods

Using the publicly available Hormon Health Study dataset, we performed a differential tractography study on Q-space Trajectory Imaging sequences from 22 participants, assessing WM microstructural changes between three specific time points: (a) Menses phase (M-phase), (b) Ovulation phase (O-phase), and (c) Mid-Luteal phase (ML-phase). The difference between specific MC-phase scans were calculated by the scheme “phase - previous phase” of the MC in three distinct analyses: (a) Analysis 1 (O-phase – M-Phase); (b) Analysis 2 (ML-phase – O-phase); (c) Analysis 3 (M-phase – ML-phase). Quantitative anisotropy (QA), was employed to quantify changes in WM structure. A p-value corrected for false discovery rate (p-FDR) < 0.05 was used to identify statistically significant results.

Results

Significant reductions in QA were widespread observed in Analysis 1 (O-phase – M-Phase; p-FDR = 0.00026802), and Analysis 2 (ML-phase – O-phase; p-FDR = 0.00000242), while increased QA values were observed in Analysis 3 (M-phase – ML-phase; p-FDR = 0.00002051).

Conclusion

This study provides evidence of cyclic WM microstructural changes during the MC. These results may offer insights into the mechanisms underlying MC-related brain physiological and pathological changes.