Investigating the impact of migraine on short-term and working memory: a systematic review and meta-analysis
Abstract
Objective: To conduct a systematic review and meta-analysis on past research to ascertain the impact that experiencing migraines has on memory. Specifically, this research explores the short-term and working memory domains and where possible delineates between verbal and visual memory.
Background: Migraine is a prevalent neurological disorder that affects up to 15% of the global population. Migraine is comprised of physical symptoms including head pain, nausea, vomiting, and sensitivity to light and sound. There are also various subtypes that are based on specific symptom manifestations such as the presence of visual aura. Furthermore, a commonly reported cognitive symptom is 'brain fog', a colloquial term used to describe everyday cognitive challenges particularly in relation to attention and memory. The empirical literature examining memory performance in migraine has produced inconsistent findings: some studies report clear cognitive impairment, whereas others suggest minimal or no deficits. In addition, research to date has been limited in its examination of specific memory domains and has not consistently considered the influence of migraine characteristics. Thus, this systematic review and meta-analysis aimed to investigate the short-term and working memory performance of migraineurs compared to healthy controls. Subsidiary aims included investigating the memory performance of migraineurs with aura and without aura and investigating the impact of migraine on visual and…
How strong is the evidence?
Evidence Hub reads this as a meta-analysis, done in people. Its evidence level is 1 of 5 (Highest · pooled evidence). Pooled evidence from several studies sits at the top of the evidence pyramid.
Read the paper
Related studies
- Calcium Ions in the Physiology and Pathology of the Central Nervous System
- AI-powered in silico twins: redefining precision medicine through simulation, personalization, and predictive healthcare
- In silico functional, structural and pathogenicity analysis of missense single nucleotide polymorphisms in human MCM6 gene
- In Silico drug repurposing pipeline using deep learning and structure based approaches in epilepsy
- Targeting serotonin receptors with phytochemicals – an in-silico study
- In silico exploration of anti-prostate cancer compounds from differential expressed genes
Go deeper in Evidence Hub
Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.