Evidence map›Paper›PMID 38911226›Full record

ArticleFrontiers in human neuroscience2024

Subjective brain fog: a four-dimensional characterization in 25,796 participants.

Ali Alim-Marvasti, Matteo Ciocca, Narayan Kuleindiren, Aaron Lin, Hamzah Selim, Mohammad Mahmud

Abstract read
In one paragraph

Article in Frontiers in human neuroscience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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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

6 authors.

Ali Alim-MarvastiUCL Queen Square Institute of Neurology, University College London, London, United Kingdom.
Matteo CioccaDepartment of Brain Sciences, Imperial College London, London, United Kingdom.
Narayan KuleindirenResearch Division, Mindset Technologies Ltd., London, United Kingdom.
Aaron LinResearch Division, Mindset Technologies Ltd., London, United Kingdom.
Hamzah SelimResearch Division, Mindset Technologies Ltd., London, United Kingdom.
Mohammad MahmudResearch Division, Mindset Technologies Ltd., London, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Brain fog is associated with significant morbidity and reduced productivity and gained increasing attention after COVID-19. However, this subjective state has not been systematically characterised. Objective: To characterise self-reported brain fog. Design: We systematically studied the cross-sectional associations between 29 Setting: Digital application for remote data collection. Participants: 25,796 individuals over the age of 18 who downloaded and completed the application. Results: 7,280 of 25,796 individuals (28.2%) reported experiencing brain fog, who were generally older (mean brain fog 35.7 ± 11.9 years vs. 32.8 ± 11.6 years, Conclusions and relevance: This is the largest study characterising subjective brain fog as an impairment of concentration associated with functional impairments in activities of daily living. Brain fog was particularly associated with a history of long-COVID-19, migraines, concussion, and with 0.1 standard deviations lower cognitive scores, especially on modified Stroop testing, suggesting impairments in the ability to inhibit cognitive interference. Further prospective studies in unselected brain fog sufferers should explore the full spectrum of brain fog symptoms to differentiate it from its associated conditions.

Indexed as

brain fogcognitionfunctional cognitive disorderlong COVIDMCI (mild cognitive impairment)

Identifiers

PMID38911226
PMCPMC11191638

What OpenQuestion holds

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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.