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

Author:

Benito-León Julián1234ORCID,del Pino Ana Belén5,Aladro Yolanda67,Cuevas Constanza1,Domingo-Santos Ángela1ORCID,Galán Sánchez-Seco Victoria1,Labiano-Fontcuberta Andrés1,Gómez-López Ana1ORCID,Salgado-Cámara Paula1,Costa-Frossard Lucienne8,Monreal Enrique8,Sainz de la Maza Susana8,Matías-Guiu Jordi A9ORCID,Matías-Guiu Jorge9,Delgado-Álvarez Alfonso9ORCID,Montero-Escribano Paloma9,Martínez-Ginés María Luisa10,Higueras Yolanda10,Ayuso-Peralta Lucía11,Malpica Norberto5,Melero Helena12ORCID

Affiliation:

1. Department of Neurology, University Hospital “12 de Octubre,” Madrid, Spain

2. Research Institute (i+12), University Hospital “12 de Octubre”, Madrid, Spain

3. Centro de Investigación Biomédica en Red Sobre Enfermedades Neurodegenerativas (CIBERNED) Madrid, Spain

4. Department of Medicine, Faculty of Medicine, Complutense University of Madrid, Madrid, Spain

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

6. Department of Neurology, University Hospital of Getafe, Madrid, Spain

7. Faculty of Biomedical and Health Sciences, European University of Madrid, Madrid, Spain

8. Department of Neurology, University Hospital “Ramón y Cajal,” Madrid, Spain

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

10. Department of Neurology, University Hospital “Gregorio Marañón,” Madrid, Spain

11. Department of Neurology, University Hospital “Príncipe de Asturias,” Alcalá de Henares, Spain

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

Abstract

Background: 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 ( pFDR < 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.

Publisher

SAGE Publications

Subject

Neurology (clinical),Neurology

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