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Structural brain changes in post‐acute COVID‐19 patients with persistent olfactory dysfunction

Objective This research aims to study structural brain changes in patients with persistent olfactory dysfunctions after coronavirus disease 2019 (COVID‐19). Methods COVID‐19 patients were evaluated using T1‐weighted and diffusion tensor imaging (DTI) on a 3T MRI scanner, 9.94 ± 3.83 months after COV...

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Published in:Annals of clinical and translational neurology 2023-02, Vol.10 (2), p.195-203
Main Authors: Campabadal, Anna, Oltra, Javier, Junqué, Carme, Guillen, Núria, Botí, María Ángeles, Sala‐Llonch, Roser, Monté‐Rubio, Gemma C., Lledó, Gema, Bargalló, Nuria, Rami, Lorena, Sánchez‐Valle, Raquel, Segura, Bàrbara
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container_title Annals of clinical and translational neurology
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creator Campabadal, Anna
Oltra, Javier
Junqué, Carme
Guillen, Núria
Botí, María Ángeles
Sala‐Llonch, Roser
Monté‐Rubio, Gemma C.
Lledó, Gema
Bargalló, Nuria
Rami, Lorena
Sánchez‐Valle, Raquel
Segura, Bàrbara
description Objective This research aims to study structural brain changes in patients with persistent olfactory dysfunctions after coronavirus disease 2019 (COVID‐19). Methods COVID‐19 patients were evaluated using T1‐weighted and diffusion tensor imaging (DTI) on a 3T MRI scanner, 9.94 ± 3.83 months after COVID‐19 diagnosis. Gray matter (GM) voxel‐based morphometry was performed using FSL‐VBM. Voxelwise statistical analysis of the fractional anisotropy, mean diffusivity (MD), radial diffusivity (RD), and axial diffusivity was carried out with the tract‐based spatial statistics in the olfactory system. The smell identification test (UPSIT) was used to classify patients as normal olfaction or olfactory dysfunction groups. Intergroup comparisons between GM and DTI measures were computed, as well as correlations with the UPSIT scores. Results Forty‐eight COVID‐19 patients were included in the study. Twenty‐three were classified as olfactory dysfunction, and 25 as normal olfaction. The olfactory dysfunction group had lower GM volume in a cluster involving the left amygdala, insular cortex, parahippocampal gyrus, frontal superior and inferior orbital gyri, gyrus rectus, olfactory cortex, caudate, and putamen. This group also showed higher MD values in the genu of the corpus callosum, the orbitofrontal area, the anterior thalamic radiation, and the forceps minor; and higher RD values in the anterior corona radiata, the genu of the corpus callosum, and uncinate fasciculus compared with the normal olfaction group. The UPSIT scores for the whole sample were negatively associated with both MD and RD values (p‐value ≤0.05 FWE‐corrected). Interpretation There is decreased GM volume and increased MD in olfactory‐related regions explaining prolonged olfactory deficits in post‐acute COVID‐19 patients.
doi_str_mv 10.1002/acn3.51710
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Methods COVID‐19 patients were evaluated using T1‐weighted and diffusion tensor imaging (DTI) on a 3T MRI scanner, 9.94 ± 3.83 months after COVID‐19 diagnosis. Gray matter (GM) voxel‐based morphometry was performed using FSL‐VBM. Voxelwise statistical analysis of the fractional anisotropy, mean diffusivity (MD), radial diffusivity (RD), and axial diffusivity was carried out with the tract‐based spatial statistics in the olfactory system. The smell identification test (UPSIT) was used to classify patients as normal olfaction or olfactory dysfunction groups. Intergroup comparisons between GM and DTI measures were computed, as well as correlations with the UPSIT scores. Results Forty‐eight COVID‐19 patients were included in the study. Twenty‐three were classified as olfactory dysfunction, and 25 as normal olfaction. The olfactory dysfunction group had lower GM volume in a cluster involving the left amygdala, insular cortex, parahippocampal gyrus, frontal superior and inferior orbital gyri, gyrus rectus, olfactory cortex, caudate, and putamen. This group also showed higher MD values in the genu of the corpus callosum, the orbitofrontal area, the anterior thalamic radiation, and the forceps minor; and higher RD values in the anterior corona radiata, the genu of the corpus callosum, and uncinate fasciculus compared with the normal olfaction group. The UPSIT scores for the whole sample were negatively associated with both MD and RD values (p‐value ≤0.05 FWE‐corrected). Interpretation There is decreased GM volume and increased MD in olfactory‐related regions explaining prolonged olfactory deficits in post‐acute COVID‐19 patients.</description><identifier>ISSN: 2328-9503</identifier><identifier>EISSN: 2328-9503</identifier><identifier>DOI: 10.1002/acn3.51710</identifier><identifier>PMID: 36525472</identifier><language>eng</language><publisher>United States: John Wiley &amp; Sons, Inc</publisher><subject>Alzheimer's disease ; Automation ; Brain - diagnostic imaging ; Coronaviruses ; COVID-19 ; COVID-19 - complications ; COVID-19 - diagnostic imaging ; COVID-19 Testing ; Diffusion Tensor Imaging - methods ; Hospitals ; Humans ; Infections ; Magnetic resonance imaging ; Medical imaging ; Morphology ; Neuroimaging ; Olfaction disorders ; Olfaction Disorders - diagnostic imaging ; Olfaction Disorders - etiology ; Patients ; Registration ; Severe acute respiratory syndrome coronavirus 2 ; Smell ; Software</subject><ispartof>Annals of clinical and translational neurology, 2023-02, Vol.10 (2), p.195-203</ispartof><rights>2022 The Authors. published by Wiley Periodicals LLC on behalf of American Neurological Association.</rights><rights>2022 The Authors. Annals of Clinical and Translational Neurology published by Wiley Periodicals LLC on behalf of American Neurological Association.</rights><rights>2023. This work is published under http://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). 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Methods COVID‐19 patients were evaluated using T1‐weighted and diffusion tensor imaging (DTI) on a 3T MRI scanner, 9.94 ± 3.83 months after COVID‐19 diagnosis. Gray matter (GM) voxel‐based morphometry was performed using FSL‐VBM. Voxelwise statistical analysis of the fractional anisotropy, mean diffusivity (MD), radial diffusivity (RD), and axial diffusivity was carried out with the tract‐based spatial statistics in the olfactory system. The smell identification test (UPSIT) was used to classify patients as normal olfaction or olfactory dysfunction groups. Intergroup comparisons between GM and DTI measures were computed, as well as correlations with the UPSIT scores. Results Forty‐eight COVID‐19 patients were included in the study. Twenty‐three were classified as olfactory dysfunction, and 25 as normal olfaction. The olfactory dysfunction group had lower GM volume in a cluster involving the left amygdala, insular cortex, parahippocampal gyrus, frontal superior and inferior orbital gyri, gyrus rectus, olfactory cortex, caudate, and putamen. This group also showed higher MD values in the genu of the corpus callosum, the orbitofrontal area, the anterior thalamic radiation, and the forceps minor; and higher RD values in the anterior corona radiata, the genu of the corpus callosum, and uncinate fasciculus compared with the normal olfaction group. The UPSIT scores for the whole sample were negatively associated with both MD and RD values (p‐value ≤0.05 FWE‐corrected). Interpretation There is decreased GM volume and increased MD in olfactory‐related regions explaining prolonged olfactory deficits in post‐acute COVID‐19 patients.</description><subject>Alzheimer's disease</subject><subject>Automation</subject><subject>Brain - diagnostic imaging</subject><subject>Coronaviruses</subject><subject>COVID-19</subject><subject>COVID-19 - complications</subject><subject>COVID-19 - diagnostic imaging</subject><subject>COVID-19 Testing</subject><subject>Diffusion Tensor Imaging - methods</subject><subject>Hospitals</subject><subject>Humans</subject><subject>Infections</subject><subject>Magnetic resonance imaging</subject><subject>Medical imaging</subject><subject>Morphology</subject><subject>Neuroimaging</subject><subject>Olfaction disorders</subject><subject>Olfaction Disorders - diagnostic imaging</subject><subject>Olfaction Disorders - etiology</subject><subject>Patients</subject><subject>Registration</subject><subject>Severe acute respiratory syndrome coronavirus 2</subject><subject>Smell</subject><subject>Software</subject><issn>2328-9503</issn><issn>2328-9503</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>24P</sourceid><sourceid>COVID</sourceid><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNp9ks1u1DAQgC0EolXphQdAkbggpC3-iWP7glQtfytV9MDP1XLGzq5X2TjYTqu98Qg8I0-CuylVy4GTx-NPn2bGg9Bzgs8IxvSNgYGdcSIIfoSOKaNyoThmj-_FR-g0pS3GmBDKmaBP0RFrOOW1oMeo_ZLjBHmKpq_aaPxQwcYMa5eqEo4h5d8_fxmYsquWl99X78qNqGo02bshp-ra5001uph8yiVRhb4zkEPcV3afummA7MPwDD3pTJ_c6e15gr59eP91-WlxcflxtTy_WAAnNV50TSuUbZXBIAnnltYAhBMCEghmtJFYYeMMASwZJ43tWkGdVKUTCbbDDTtBq9lrg9nqMfqdiXsdjNeHRIhrbWL20DtNOdRW1aJta1Zzq6RjopZUWcrKDZvieju7xqndOQuluTKhB9KHL4Pf6HW40koKiQ_FvLoVxPBjcinrnU_g-t4MLkxJU8E5F4pJUtCX_6DbMMWhjKpQomGKN1QV6vVMQQwpRdfdFUOwvtkEfbMJ-rAJBX5xv_w79O-_F4DMwLXv3f4_Kn2-_Mxm6R9ih77O</recordid><startdate>202302</startdate><enddate>202302</enddate><creator>Campabadal, Anna</creator><creator>Oltra, Javier</creator><creator>Junqué, Carme</creator><creator>Guillen, Núria</creator><creator>Botí, María Ángeles</creator><creator>Sala‐Llonch, Roser</creator><creator>Monté‐Rubio, Gemma C.</creator><creator>Lledó, Gema</creator><creator>Bargalló, Nuria</creator><creator>Rami, Lorena</creator><creator>Sánchez‐Valle, Raquel</creator><creator>Segura, Bàrbara</creator><general>John Wiley &amp; 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Oltra, Javier ; Junqué, Carme ; Guillen, Núria ; Botí, María Ángeles ; Sala‐Llonch, Roser ; Monté‐Rubio, Gemma C. ; Lledó, Gema ; Bargalló, Nuria ; Rami, Lorena ; Sánchez‐Valle, Raquel ; Segura, Bàrbara</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c5140-f6b79db9a0c8155d24cc1511c8c103268090aea1c083516dfb72e896528cdf063</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Alzheimer's disease</topic><topic>Automation</topic><topic>Brain - diagnostic imaging</topic><topic>Coronaviruses</topic><topic>COVID-19</topic><topic>COVID-19 - complications</topic><topic>COVID-19 - diagnostic imaging</topic><topic>COVID-19 Testing</topic><topic>Diffusion Tensor Imaging - methods</topic><topic>Hospitals</topic><topic>Humans</topic><topic>Infections</topic><topic>Magnetic resonance imaging</topic><topic>Medical imaging</topic><topic>Morphology</topic><topic>Neuroimaging</topic><topic>Olfaction disorders</topic><topic>Olfaction Disorders - diagnostic imaging</topic><topic>Olfaction Disorders - etiology</topic><topic>Patients</topic><topic>Registration</topic><topic>Severe acute respiratory syndrome coronavirus 2</topic><topic>Smell</topic><topic>Software</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Campabadal, Anna</creatorcontrib><creatorcontrib>Oltra, Javier</creatorcontrib><creatorcontrib>Junqué, Carme</creatorcontrib><creatorcontrib>Guillen, Núria</creatorcontrib><creatorcontrib>Botí, María Ángeles</creatorcontrib><creatorcontrib>Sala‐Llonch, Roser</creatorcontrib><creatorcontrib>Monté‐Rubio, Gemma C.</creatorcontrib><creatorcontrib>Lledó, Gema</creatorcontrib><creatorcontrib>Bargalló, Nuria</creatorcontrib><creatorcontrib>Rami, Lorena</creatorcontrib><creatorcontrib>Sánchez‐Valle, Raquel</creatorcontrib><creatorcontrib>Segura, Bàrbara</creatorcontrib><collection>Wiley Open Access</collection><collection>Wiley-Blackwell Free Backfiles(OpenAccess)</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health &amp; 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Methods COVID‐19 patients were evaluated using T1‐weighted and diffusion tensor imaging (DTI) on a 3T MRI scanner, 9.94 ± 3.83 months after COVID‐19 diagnosis. Gray matter (GM) voxel‐based morphometry was performed using FSL‐VBM. Voxelwise statistical analysis of the fractional anisotropy, mean diffusivity (MD), radial diffusivity (RD), and axial diffusivity was carried out with the tract‐based spatial statistics in the olfactory system. The smell identification test (UPSIT) was used to classify patients as normal olfaction or olfactory dysfunction groups. Intergroup comparisons between GM and DTI measures were computed, as well as correlations with the UPSIT scores. Results Forty‐eight COVID‐19 patients were included in the study. Twenty‐three were classified as olfactory dysfunction, and 25 as normal olfaction. The olfactory dysfunction group had lower GM volume in a cluster involving the left amygdala, insular cortex, parahippocampal gyrus, frontal superior and inferior orbital gyri, gyrus rectus, olfactory cortex, caudate, and putamen. This group also showed higher MD values in the genu of the corpus callosum, the orbitofrontal area, the anterior thalamic radiation, and the forceps minor; and higher RD values in the anterior corona radiata, the genu of the corpus callosum, and uncinate fasciculus compared with the normal olfaction group. The UPSIT scores for the whole sample were negatively associated with both MD and RD values (p‐value ≤0.05 FWE‐corrected). Interpretation There is decreased GM volume and increased MD in olfactory‐related regions explaining prolonged olfactory deficits in post‐acute COVID‐19 patients.</abstract><cop>United States</cop><pub>John Wiley &amp; Sons, Inc</pub><pmid>36525472</pmid><doi>10.1002/acn3.51710</doi><tpages>203</tpages><orcidid>https://orcid.org/0000-0003-2963-6929</orcidid><orcidid>https://orcid.org/0000-0002-0425-6519</orcidid><orcidid>https://orcid.org/0000-0002-3532-2224</orcidid><orcidid>https://orcid.org/0000-0003-3576-0475</orcidid><orcidid>https://orcid.org/0000-0002-9268-4504</orcidid><orcidid>https://orcid.org/0000-0002-9673-5479</orcidid><orcidid>https://orcid.org/0000-0001-7750-896X</orcidid><orcidid>https://orcid.org/0000-0002-2833-4884</orcidid><orcidid>https://orcid.org/0000-0001-6284-5402</orcidid><orcidid>https://orcid.org/0000-0002-6381-3063</orcidid><orcidid>https://orcid.org/0000-0002-7411-1921</orcidid><orcidid>https://orcid.org/0000-0002-1341-9834</orcidid><oa>free_for_read</oa></addata></record>
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subjects Alzheimer's disease
Automation
Brain - diagnostic imaging
Coronaviruses
COVID-19
COVID-19 - complications
COVID-19 - diagnostic imaging
COVID-19 Testing
Diffusion Tensor Imaging - methods
Hospitals
Humans
Infections
Magnetic resonance imaging
Medical imaging
Morphology
Neuroimaging
Olfaction disorders
Olfaction Disorders - diagnostic imaging
Olfaction Disorders - etiology
Patients
Registration
Severe acute respiratory syndrome coronavirus 2
Smell
Software
title Structural brain changes in post‐acute COVID‐19 patients with persistent olfactory dysfunction
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