Evidence map›Paper›PMID 42064948›Full record

ArticlemedRxiv : the preprint server for health sciences2026

Digital Assessment of Objective and Patient-Reported Cognition Across Migraine Phases: Results from the MIND Cohort.

Babak Khorsand, Devin Teichrow, Crystal J Jicha, Mia T Minen, Elizabeth Seng, Richard B Lipton, Ali Ezzati

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Babak KhorsandDepartment of Neurology, University of California, Irvine; Irvine, USA.ORCID 0000-0002-1585-3909
Devin TeichrowDepartment of Neurology, University of California, Irvine; Irvine, USA.
Crystal J JichaDepartment of Neurology, University of California, Irvine; Irvine, USA.
Mia T MinenDepartment of Neurology, NYU Langone Health, New York, New York, USA.
Elizabeth SengVA Headache Centers of Excellence (HCoE) Research, Evaluation, Education, and Engagement Activities Center for Headache (RE3ACH), Orange, CT, USA.
Richard B LiptonMontefiore Headache Center, Department of Neurology, Albert Einstein College of Medicine, Bronx, NY, USA.
Ali EzzatiDepartment of Neurology, University of California, Irvine; Irvine, USA.

Funding

Validation of the Remote Cognitive Aging and Alzheimer’s Disease REsearch (R-CARE) Toolbox for Diverse PopulationsR01AG080635 · NIA · ALBERT EINSTEIN COLLEGE OF MEDICINE · PI Ali Ezzati, Richard B. LIPTON · 2023 to 2026
$8.6M
Predictive analytics for cognitive decline and Alzheimer’s diseaseK23AG063993 · NIA · UNIVERSITY OF CALIFORNIA-IRVINE · PI EZZATI, ALI · 2020 to 2024
$984k
NIA NIH HHS K23 AG063993NIA NIH HHS R01 AG080635
6 · The paper itself

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.

Indexed as

Cognitive functionDigital BiomarkersEcological Momentary AssessmentMigraine

Identifiers

PMID42064948
PMCPMC13127496

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.