Abnormal functional connectivity in radiologically isolated syndrome: A resting-state fMRI study

Simple item page
dc.contributor.authorBenito León, Julián
dc.contributor.authorPino, Ana Belén del
dc.contributor.authorAladro, Yolanda
dc.contributor.authorCuevas, Constanza
dc.contributor.authorDomingo-Santos, Ángela
dc.contributor.authorGalán Sánchez-Seco, Victoria
dc.contributor.authorLabiano-Fontcuberta, Andrés
dc.contributor.authorGómez-López, Ana
dc.contributor.authorSalgado-Cámara, Paula
dc.contributor.authorCosta-Frossard, Lucienne
dc.contributor.authorMonreal, Enrique
dc.contributor.authorSainz de la Maza, Susana
dc.contributor.authorMatías-Guiu, Jordi A
dc.contributor.authorMatías-Guiu Guía, Jorge
dc.contributor.authorDelgado Álvarez, Alfonso
dc.contributor.authorMontero-Escribano, Paloma
dc.contributor.authorMartínez-Ginés, María Luisa
dc.contributor.authorHigueras Hernández, Yolanda
dc.contributor.authorAyuso-Peralta, Lucía
dc.contributor.authorMalpica, Norberto
dc.contributor.authorMelero Carrasco, Helena
dc.date.accessioned2024-05-10T11:43:01Z
dc.date.available2024-05-10T11:43:01Z
dc.date.issued2023-09
dc.description.abstractBackground: Radiologically isolated syndrome (RIS) patients might have psychiatric and cognitive deficits, which suggests an involvement of major resting-state functional networks. Notwithstanding, very little is known about the neural networks involved in RIS. Objective: To examine functional connectivity differences between RIS and healthy controls using resting-state functional magnetic resonance imaging (fMRI). Methods: Resting-state fMRI data in 25 RIS patients and 28 healthy controls were analyzed using an independent component analysis; in addition, seed-based correlation analysis was used to obtain more information about specific differences in the functional connectivity of resting-state networks. Participants also underwent neuropsychological testing. Results: RIS patients did not differ from the healthy controls regarding age, sex, and years of education. However, in memory (verbal and visuospatial) and executive functions, RIS patients’ cognitive performance was significantly worse than the healthy controls. In addition, fluid intelligence was also affected. Twelve out of 25 (48%) RIS patients failed at least one cognitive test, and six (24.0%) had cognitive impairment. Compared to healthy controls, RIS patients showed higher functional connectivity between the default mode network and the right middle and superior frontal gyri and between the central executive network and the right thalamus ( p<jats:sub>FDR</jats:sub> &lt; 0.05; corrected). In addition, the seed-based correlation analysis revealed that RIS patients presented higher functional connectivity between the posterior cingulate cortex, an important hub in neural networks, and the right precuneus. Conclusion: RIS patients had abnormal brain connectivity in major resting-state neural networks and worse performance in neurocognitive tests. This entity should be considered not an “incidental finding” but an exclusively non-motor (neurocognitive) variant of multiple sclerosis.
dc.description.departmentDepto. de Psicobiología y Metodología en Ciencias del Comportamiento
dc.description.departmentDepto. de Psicología Experimental, Procesos Cognitivos y Logopedia
dc.description.departmentDepto. de Medicina
dc.description.facultyFac. de Psicología
dc.description.facultyFac. de Medicina
dc.description.refereedTRUE
dc.description.sponsorshipNational Institutes of Health (EEUU)
dc.description.sponsorshipEuropean Commission
dc.description.sponsorshipMinisterio de Economía y Competitividad (España)
dc.description.sponsorshipMinisterio de Ciencia e Innovación (España)
dc.description.statuspub
dc.identifier.citationBenito-León J, del Pino AB, Aladro Y, et al. Abnormal functional connectivity in radiologically isolated syndrome: A resting-state fMRI study. Multiple Sclerosis Journal. 2023;29(11-12):1393-1405. doi:10.1177/13524585231195851
dc.identifier.doi10.1177/13524585231195851
dc.identifier.issn1352-4585
dc.identifier.issn1477-0970
dc.identifier.officialurlhttps://doi.org/10.1177/13524585231195851
dc.identifier.relatedurlhttps://journals.sagepub.com/doi/abs/10.1177/13524585231195851
dc.identifier.urihttps://hdl.handle.net/20.500.14352/103893
dc.issue.number11-12
dc.journal.titleMultiple Sclerosis Journal
dc.language.isoeng
dc.page.final1405
dc.page.initial1393
dc.publisherSAGE
dc.relation.projectIDNINDS #R01 NS39422
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/FP7/287739/EU
dc.relation.projectIDinfo:eu-repo/grantAgreement/MINECO//RTC-2015-3967-1G83727016MADRID/ES/PLATAFORMA PARA EL SEGUIMIENTO DE TRASTORNOS DEL MOVIMIENTO: NETMD/
dc.relation.projectIDFIS PI12/01602
dc.relation.projectIDFIS PI16/00451
dc.relation.projectIDTED2021-130174B-C33 NETremor
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internationalen
dc.rights.accessRightsopen access
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject.cdu612.821
dc.subject.keywordRadiologically isolated syndrome
dc.subject.keywordMultiple sclerosis
dc.subject.keywordFunctional connectivity
dc.subject.keywordResting-state neural networks
dc.subject.ucmNeuropsicología
dc.subject.unesco3205.07 Neurología
dc.titleAbnormal functional connectivity in radiologically isolated syndrome: A resting-state fMRI study
dc.typejournal article
dc.type.hasVersionAM
dc.volume.number29
dspace.entity.typePublication
relation.isAuthorOfPublicationa1c7932c-7b3b-49b4-85f4-99cf7fbbb615
relation.isAuthorOfPublicationd2238230-9cee-487f-b3cd-be34f115629c
relation.isAuthorOfPublicationd4ae3c31-bf3c-426c-8540-66134aad8381
relation.isAuthorOfPublicationdc0ac959-b4d1-49f0-85a7-c5ddfda554d5
relation.isAuthorOfPublication17bc1fff-dc5d-4ac3-914e-dd631e6a9ac1
relation.isAuthorOfPublication.latestForDiscoverya1c7932c-7b3b-49b4-85f4-99cf7fbbb615
Download
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
BenitoLeón_MltScle_2023.pdf
Size:
304.12 KB
Format:
Adobe Portable Document Format
downoload Download
Collections
Artículos