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Journal of modern medicine, Vol. 4, No. 15 (2026)

CLINICAL AND NEUROLOGICAL CHARACTERISTICS OF HEADACHE IN PREMENSTRUAL SYNDROME AND THE POTENTIAL FOR ITS PREDICTION USING DIGITAL TECHNOLOGIES

  • Samatova S.K✉
  • Shokirova S.M.
Received: October 2, 2026Accepted: October 11, 2026Published: October 12, 2026

Abstract

Premenstrual syndrome (PMS) is a common neuroendocrine disorder characterized by the cyclical occur­rence of physical, emotional, and neurovegetative symptoms in women of reproductive age. One of the clinically significant manifestations of PMS is headache, which varies in intensity, duration, frequency, and type.

Objective: To investigate the clinical and neurological characteristics of headache in women with PMS, de­termine correlations between headache frequency, intensity, and duration and menstrual cycle phases, psycho-emo­tional status, and neurovegetative parameters, as well as assess the potential of digital technologies for developing a personalized algorithm for the early prediction of cephalgic episodes.

Materials and Methods: A prospective clinical and neurological study involving women of reproductive age diagnosed with PMS and experiencing recurrent headaches is planned. The study will include medical history collec­tion, assessment of neurological status, and evaluation of headache characteristics, including frequency, duration, and intensity using the Visual Analog Scale (VAS).

Expected Results: The study is expected to identify the specific characteristics of headache associated with PMS, describe its distribution according to intensity and duration, and determine its relationship with menstrual cycle phases. Correlations between headache intensity, sleep disturbances, psycho-emotional stress, and neurovegetative manifestations are also expected to be identified.

Conclusion: Investigating the clinical and neurological characteristics of headache in women with PMS using digital technologies represents a promising area of research and clinical practice. The development and validation of a digital algorithm may improve the effectiveness of preventive measures, personalize patient monitoring, and en­hance women's quality of life.

Keywords

  • premenstrual syndrome, headache, cephalgic syndrome, clinical and neurological characteristics, digital technologies, digital monitoring, early prediction, menstrual cycle, neurovegetative dysfunction, electronic diary, ROC analysis.

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