[Interictal burden of migraine and its evaluations: a literature review].

We conducted a targeted literature review on patient burden during the interictal period of migraine. The results of the literature review revealed that: (1) migraine-associated burden persists into the interictal period and is not confined to the headache episodes themselves; (2) anxiety over the possible recurrence of headache episodes is a factor that reduces daily activities and quality of life (QOL); and (3) prophylactic treatment with calcitonin gene-related peptide (CGRP) antibody drugs may reduce the burden during the interictal period. From these findings, it is considered important in migraine treatment to identify the unmet needs of patients, including the burden during the interictal period, and to select an appropriate treatment method based on the burden experienced by individual patients.

Different effects of migraine associated features on headache impact, pain intensity, and psychiatric conditions in patients with migraine.

Migraine is a multifactorial brain disorder characterized by recurrent disabling headaches and their associated features. Several studies have suggested that these features are related to headache impact, pain intensity, and psychiatric conditions. However, differences in the relationship between each associated feature and headache impact, pain intensity, or psychiatric conditions remain unclear.

Underrecognition of migraine-related stigmatizing attitudes and social burden: Results of the OVERCOME Japan study.

Introduction: Migraine-related stigma (MiRS) and social burden is increasingly recognized. We assessed perspectives and attitudes toward migraine in people with and without migraine in Japan.

Methods: OVERCOME (Japan) was a cross-sectional, population-based web survey of people with and without migraine (July-September 2020).

Preliminary External Validation Results of the Artificial Intelligence-Based Headache Diagnostic Model: A Multicenter Prospective Observational Study.

The misdiagnosis of headache disorders is a serious issue, and AI-based headache model diagnoses with external validation are scarce. We previously developed an artificial intelligence (AI)-based headache diagnosis model using a database of 4000 patients' questionnaires in a headache-specializing clinic and herein performed external validation prospectively. The validation cohort of 59 headache patients was prospectively collected from August 2023 to February 2024 at our or collaborating multicenter institutions.