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Observational cohort study on smartphone-based cognitive assessment during migraine attacks

Observational cohort study on smartphone-based cognitive assessment during migraine attacks
Photo by Vitaly Gariev / Unsplash
Key Takeaway
Consider that smartphone-based cognitive tasks show measurable differences on migraine headache days in an observational cohort.

This is an observational cohort study of 139 adults with migraine recruited through social media. Participants used a smartphone app for 30 days to report headache features and complete three cognitive tasks. The study compared outcomes on current headache days (ictal) versus days with no headache (nonictal).

The authors found that on ictal days, the odds of more severe brain fog were higher (OR=3.39, 95% CI 2.70-4.27) and the odds of task forgetting were higher (OR=2.82, 95% CI 2.29-3.49). Reaction time was slower for Symbol Search (ratio=1.043, 95% CI 1.028-1.059) and Color Dots (ratio=1.015, 95% CI 1.003-1.026). Reaction time for Grid Memory was not significantly different (ratio=1.006, 95% CI 0.985-1.028), but its accuracy was lower (OR=0.867, 95% CI 0.823-0.914).

Key limitations noted by the authors include recruitment through social media and limited differentiation among preictal, postictal, and interictal periods. Safety events were not reported.

The authors suggest that high-frequency digital cognition appears feasible and may provide scalable functional endpoints for real-world monitoring. Practice relevance is framed as exploratory, given the observational design and limitations.

Study Details

EvidenceLevel 5
PublishedApr 2026
View Original Abstract ↓
Objective: Migraine attacks are frequently accompanied by patient-reported subjective cognitive symptoms, but objective findings have been inconsistent. We used high-frequency, smartphone-based cognitive testing to assess within-person changes in subjective and objective cognition across migraine phases using daily diaries. Methods: Adults with migraine were recruited through social media. Eligible participants met ICHD-3 migraine criteria and had 3 to 22 monthly headache days. For 30 days, they completed daily smartphone-based reports on headache features, cognitive symptoms, and three smartphone-based objective cognitive tasks. Objective tests included Symbol Search (processing speed/visual search), Color Dots (visual working memory/attention), and Grid Memory (visuospatial working memory). Primary analyses contrasted assessments on current headache days (ictal) versus days with no headache (nonictal). When possible, non-ictal days were subclassified using information from adjacent days as pre-ictal, post-ictal, and interictal days. Outcomes included subjective cognition, reaction time (mean across correctly scored trials), accuracy, and a speed-accuracy composite (Reaction Time/Accuracy). Mixed-effects models adjusted for age, sex, and practice effects. Results: The 139 eligible participants (84.9% female; mean age 38.2 years) contributed 3,014 person-days for ictal versus nonictal comparisons (2,097 nonictal; 917 ictal); for 1,828 person-days precise phase classification was possible. Subjective cognitive symptoms were worse on ictal days, with higher odds of more severe brain fog (OR=3.39, 95% CI 2.70-4.27) and task forgetting (OR=2.82, 95% CI 2.29-3.49). In adjusted models, reaction times were slower on ictal days for Symbol Search (reaction time ratio =1.043, 95% CI 1.028-1.059) and Color Dots (ratio=1.015, 95% CI 1.003-1.026) but not Grid Memory (reaction time ratio =1.006, 95% CI 0.985-1.028). Grid Memory accuracy was lower on ictal days (OR=0.867, 95% CI 0.823-0.914). In analyses based on phase, most nonictal phases showed faster reaction time and lower subjective symptom burden relative to ictal days, with limited differentiation among preictal, postictal, and interictal periods. Conclusions: In persons with migraine, daily smartphone assessments revealed subjective cognitive impairment on ictal vs nonictal days in brain fog and forgetfulness. Objective testing revealed slowing in processing speed and attention and modest differences in the accuracy of working-memory. High-frequency digital cognition appears feasible and may provide scalable functional endpoints for real-world monitoring and treatment evaluation.
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