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


Journal

Multiple sclerosis (Houndmills, Basingstoke, England)
ISSN: 1477-0970
Titre abrégé: Mult Scler
Pays: England
ID NLM: 9509185

Informations de publication

Date de publication:
Oct 2023
Historique:
medline: 3 11 2023
pubmed: 29 9 2023
entrez: 29 9 2023
Statut: ppublish

Résumé

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. To examine functional connectivity differences between RIS and healthy controls using resting-state functional magnetic resonance imaging (fMRI). 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. 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 ( 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.

Sections du résumé

BACKGROUND UNASSIGNED
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 UNASSIGNED
To examine functional connectivity differences between RIS and healthy controls using resting-state functional magnetic resonance imaging (fMRI).
METHODS UNASSIGNED
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 UNASSIGNED
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 (
CONCLUSION UNASSIGNED
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.

Identifiants

pubmed: 37772510
doi: 10.1177/13524585231195851
pmc: PMC10619710
mid: NIHMS1935907
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1393-1405

Subventions

Organisme : NINDS NIH HHS
ID : R01 NS039422
Pays : United States

Déclaration de conflit d'intérêts

Declaration of Conflicting InterestsThe author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

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Auteurs

Julián Benito-León (J)

Department of Neurology, University Hospital "12 de Octubre," Madrid, Spain.
Research Institute (i+12), University Hospital "12 de Octubre", Madrid, Spain.
Centro de Investigación Biomédica en Red Sobre Enfermedades Neurodegenerativas (CIBERNED) Madrid, Spain.
Department of Medicine, Faculty of Medicine, Complutense University of Madrid, Madrid, Spain.

Ana Belén Del Pino (AB)

Medical Image Analysis and Biometry Laboratory (LAIMBIO), Rey Juan Carlos University, Madrid, Spain.

Yolanda Aladro (Y)

Department of Neurology, University Hospital of Getafe, Madrid, Spain.
Faculty of Biomedical and Health Sciences, European University of Madrid, Madrid, Spain.

Constanza Cuevas (C)

Department of Neurology, University Hospital "12 de Octubre," Madrid, Spain.

Ángela Domingo-Santos (Á)

Department of Neurology, University Hospital "12 de Octubre," Madrid, Spain.

Victoria Galán Sánchez-Seco (V)

Department of Neurology, University Hospital "12 de Octubre," Madrid, Spain.

Andrés Labiano-Fontcuberta (A)

Department of Neurology, University Hospital "12 de Octubre," Madrid, Spain.

Ana Gómez-López (A)

Department of Neurology, University Hospital "12 de Octubre," Madrid, Spain.

Paula Salgado-Cámara (P)

Department of Neurology, University Hospital "12 de Octubre," Madrid, Spain.

Lucienne Costa-Frossard (L)

Department of Neurology, University Hospital "Ramón y Cajal," Madrid, Spain.

Enrique Monreal (E)

Department of Neurology, University Hospital "Ramón y Cajal," Madrid, Spain.

Susana Sainz de la Maza (S)

Department of Neurology, University Hospital "Ramón y Cajal," Madrid, Spain.

Jordi A Matías-Guiu (JA)

Department of Neurology, Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Hospital Clínico "San Carlos," Madrid, Spain.

Jorge Matías-Guiu (J)

Department of Neurology, Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Hospital Clínico "San Carlos," Madrid, Spain.

Alfonso Delgado-Álvarez (A)

Department of Neurology, Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Hospital Clínico "San Carlos," Madrid, Spain.

Paloma Montero-Escribano (P)

Department of Neurology, Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Hospital Clínico "San Carlos," Madrid, Spain.

María Luisa Martínez-Ginés (ML)

Department of Neurology, University Hospital "Gregorio Marañón," Madrid, Spain.

Yolanda Higueras (Y)

Department of Neurology, University Hospital "Gregorio Marañón," Madrid, Spain.

Lucía Ayuso-Peralta (L)

Department of Neurology, University Hospital "Príncipe de Asturias," Alcalá de Henares, Spain.

Norberto Malpica (N)

Medical Image Analysis and Biometry Laboratory (LAIMBIO), Rey Juan Carlos University, Madrid, Spain.

Helena Melero (H)

Departamento de Psicobiología y Metodología en Ciencias del Comportamiento, Universidad Complutense de Madrid, Madrid, Spain.

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