Evidence map›Paper›PMID 41044855›Full record

ArticleJournal of magnetic resonance imaging : JMRI2026

The Sense of Smell (SoS) Atlas: Its Creation and First Application to Investigate COVID-19 Related Anosmia With a Comprehensive Quantitative MRI Protocol.

Marta Gaviraghi, Eleonora Lupi, Elena Grosso, Andrea Fusari, Mattia Baiguera, Anita Monteverdi, Marco Battiston, Francesco Grussu, Baris Kanber, Ferran Prados Carrasco and 8 more

Abstract read
In one paragraph

Article in Journal of magnetic resonance imaging : JMRI, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

18 authors.

Marta GaviraghiDepartment of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy.ORCID https://orcid.org/0000-0001-7427-845X
Eleonora LupiDepartment of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy.ORCID https://orcid.org/0009-0001-4519-8888
Elena GrossoDepartment of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy.
Andrea FusariDepartment of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy.
Mattia BaigueraDepartment of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy.
Anita MonteverdiDigital Neuroscience Centre, IRCCS Mondino Foundation, Pavia, Italy.
Marco BattistonNMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK.
Francesco GrussuNMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK.
Baris KanberNMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK.
Ferran Prados CarrascoNMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK.ORCID https://orcid.org/0000-0002-7872-0142
Rebecca S SamsonNMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK.
Janine MakaronidisCentre for Obesity Research, Department of Medicine, University College London, London, UK.
Marios C YiannakasNMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK.
Michael S ZandiDepartment of Neuroinflammation, UCL Queen Square Institute of Neurology, London, UK.
Rachel L BatterhamCentre for Obesity Research, Department of Medicine, University College London, London, UK.
Egidio D'AngeloDepartment of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy.
Fulvia PalesiDepartment of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy.
Claudia A M Gandini Wheeler-KingshottDepartment of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy.ORCID https://orcid.org/0000-0002-4832-1300

Funding

Ataxia UK, Rosetrees Trust PGL21/10079Ataxia UK, Rosetrees Trust PGL22/100041Human Brain Project 945539"la Caixa" Foundation LCF/BQ/PR22/11920010Medical Research council (MRC) MR/S026088/1Ministry of University and Research (MUR) DN. 1553 11.10.2022MODEL-COVNational Centre for HPC, Big Data and Quantum Computing CN00000013 PNRR MUR-M4C2-Fund 1.4NextGenerationEU PE0000006TDC TechnologyUniversity College LondonUniversity College London Hospitals NHS Foundation Trust
6 · The paper itself

Abstract

backgroundThe loss of smell (anosmia) has been noted in numerous diseases, including COVID-19. Inflammatory and microstructural alterations are possible underlying mechanisms of anosmia in COVID-19. However, no atlas exists to study olfaction and the associated tissue property changes. PURPOSE: To develop the sense of smell (SoS) atlas, including gray matter regions and white matter tracts of the olfactory circuit, to investigate the underpinnings of COVID-19 related anosmia. STUDY TYPE: Retrospective. SUBJECTS: For the SoS atlas, high-resolution tractograms of 10 healthy controls (HC) of the Human Connectome Project (7 females, 22-35 years) were used. The SoS atlas was applied to 8 subjects with persistent anosmia following COVID-19 (COVID-P, 7 females, 52 ± 12 years), 19 subjects that recovered from COVID-19 anosmia (COVID-R, 14 females, 38 ± 13 years), and 17 HC (8 females, 39 ± 12 years). FIELD STRENGTH/SEQUENCE: 3 T, 3D inversion recovery, 3D fast field echo, and spin-echo echo-planar imaging sequences. ASSESSMENT: To create the SoS atlas, regions were identified and tracts were extracted via tractography following biological constraints. MRI metrics sensitive to alterations in neuroinflammation, axonal degeneration, myelin and macromolecular density, and iron were analyzed. STATISTICAL TESTS: Region-based analysis (p-value < 0.05, false discovery rate (FDR) corrected) and voxel-based analysis (p-value < 0.001 uncorrected, FDR-corrected cluster extent = 5 voxels) were performed on 15 multisequence-MRI metrics between the three groups.

resultsThe SoS atlas consisted of 35 regions and, after anatomical curation, the initial 506 tracts were refined to 78. Compared to HC, COVID-P presented alterations in neuroinflammation-related (mean: 41% of total alterations) and axonal degeneration-related (31%) MRI metrics, while COVID-R presented alterations of myelin-related metrics (68%). COVID-P alterations mainly affected the hindbrain (56%), while COVID-R the hindbrain (39%). DATA

conclusionA novel tool, the SoS atlas, was developed to study the olfactory system and applied in combination with multisequence-MRI metrics to investigate the mechanisms of COVID-19 related anosmia. EVIDENCE LEVEL: 3. TECHNICAL EFFICACY: Stage 1.

Indexed as

AnosmiaCOVID-19Magnetic Resonance ImagingSmellAdultAtlases as TopicBrainConnectomeFemaleGray MatterHumansMaleMiddle AgedRetrospective StudiesSARS-CoV-2White MatterCOVID‐19 anosmiahindbrainmultisequence‐MRIneuroinflammation and myelin alterationssense of smell atlastractography

Identifiers

PMID41044855
PMCPMC12811004

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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.