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01 · ABSTRACT

Abstract

Chronic migraine (CM) is increasingly recognized as more than just a recurring headache condition. It involves significant neurobiological changes that suggest accelerated aging of the brain, particularly affecting the hippocampus, which is essential for memory and cognitive functions. This overview examines the key findings linking CM to notable decreases in cortical thickness, increased white matter hyperintensities, and significant hippocampal atrophy. Research utilizing machine learning in neuroimaging has introduced the concept of the Brain Age Gap (BAG). This concept reveals that individuals with CM have an average brain age that is 4.16 years older than their chronological age, indicating premature aging of their neural structures. These structural changes are associated with difficulties in declarative memory, disruptions in memory-encoding processes, and higher rates of depression and anxiety. Factors such as neuroinflammation, ongoing pain signals, and related health conditions such as obesity and hypertension worsen this neurodegenerative trajectory. The growing body of evidence highlights the urgent need for early identification of at-risk individuals, validation of BAG as a potential cognitive health biomarker, and development of targeted interventions to prevent cognitive decline. To confirm these findings, prospective long-term studies are crucial to confirm the patterns of hippocampal atrophy and to establish effective imaging techniques for migraine management.

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02 · PUBLICATION RECORD

Article details

JournalMedical Research Archives
IssueVol 13 No 7 (2025): Vol.13, Issue 7, July 2025
SectionReview Articles
Published25 July 2025
DOI10.18103/mra.v13i7.6728
ISSN2375-1924
03 · RIGHTS & REUSE

Rights & reuse

This article is published under a Creative Commons Attribution License (CC BY 3.0) and may be shared or distributed by anyone as long as attribution is given to the journal.

Authors & affiliations

DC

Dr. Arbind Kumar Choudhary

Associate Professor, Department of Physiology, All India Institute of Medical Science, Raebareli, Uttar Pradesh, India

Medical Research Archives

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