Evidence map›Paper›PMID 42846933›Full record

ArticleBrain communications2026

A cognitive architecture for Long COVID: the interplay of brain fog, fatigue, attention and memory.

Darragh Higgins, Sijia Zhao, Masud Husain, Peter Denno, Peter J Hellyer, William Trender, Christina J Atchison, Bethan Davies, Emily Cooper, Joshua Elliott and 6 more

Abstract read
In one paragraph

Article in Brain communications, 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

16 authors.

Darragh HigginsDepartment of Brain Sciences, National Institute for Health Research Biomedical Research Centre, Imperial College London, London W12 0NN, UK.
Sijia ZhaoDepartment of Experimental Psychology, University of Oxford, Oxford OX1 3PH, UK.ORCID https://orcid.org/0000-0002-6246-0702
Masud HusainDepartment of Experimental Psychology, University of Oxford, Oxford OX1 3PH, UK.ORCID https://orcid.org/0000-0002-6850-9255
Peter DennoCentre for Neuroimaging Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London SE5 9RS, UK.
Peter J HellyerDepartment of Brain Sciences, National Institute for Health Research Biomedical Research Centre, Imperial College London, London W12 0NN, UK.
William TrenderDepartment of Brain Sciences, National Institute for Health Research Biomedical Research Centre, Imperial College London, London W12 0NN, UK.ORCID https://orcid.org/0000-0003-3947-5532
Christina J AtchisonDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London W12 0BZ, UK.
Bethan DaviesDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London W12 0BZ, UK.ORCID https://orcid.org/0000-0002-6585-7641
Emily CooperDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London W12 0BZ, UK.
Joshua ElliottDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London W12 0BZ, UK.
Matthew WhitakerDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London W12 0BZ, UK.
Chiara Di GravioDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London W12 0BZ, UK.
Marc Chadeau-HyamDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London W12 0BZ, UK.ORCID https://orcid.org/0000-0001-8341-5436
Paul ElliottDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London W12 0BZ, UK.ORCID https://orcid.org/0000-0002-7511-5684
Helen WardDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London W12 0BZ, UK.
Adam HampshireCentre for Neuroimaging Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London SE5 9RS, UK.ORCID https://orcid.org/0000-0002-5176-5420

Funding

Wellcome Trust
6 · The paper itself

Abstract

The cognitive mechanisms underlying post-acute COVID-19 sequelae ('Long COVID') remain poorly defined. While deficits in memory and executive function are well-documented, it is unclear whether these arise from primary neural dysfunction or are secondary consequences of fatigue-related factors. Here, we addressed this in a community cohort (

Indexed as

cognitive assessmentLong-COVIDsubjective symptoms

Identifiers

PMID42846933
PMCPMC13644365

What OpenQuestion holds

Textmetadata
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.