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Functional Connectivity and Structural Disruption in the Default-Mode Network Predicts Cognitive Rehabilitation Outcomes in Multiple Sclerosis.
Fuchs, Tom A; Ziccardi, Stefano; Benedict, Ralph H B; Bartnik, Alexander; Kuceyeski, Amy; Charvet, Leigh E; Oship, Devon; Weinstock-Guttman, Bianca; Wojcik, Curtis; Hojnacki, David; Kolb, Channa; Escobar, Jose; Campbell, Rebecca; Tran, Hoan Duc; Bergsland, Niels; Jakimovski, Dejan; Zivadinov, Robert; Dwyer, Michael G.
Afiliación
  • Fuchs TA; Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY.
  • Ziccardi S; Jacobs Multiple Sclerosis Center, Department of Neurology, School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY.
  • Benedict RHB; Neurology Section, Department of Neuroscience, Biomedicine and Movement Sciences, University of Verona, Verona, Italy.
  • Bartnik A; Jacobs Multiple Sclerosis Center, Department of Neurology, School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY.
  • Kuceyeski A; Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY.
  • Charvet LE; Jacobs Multiple Sclerosis Center, Department of Neurology, School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY.
  • Oship D; Weill Cornell Medical College, Brain and Mind Research Institute, Ithaca, NY.
  • Weinstock-Guttman B; Department of Neurology, NYU School of Medicine, New York, NY.
  • Wojcik C; Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY.
  • Hojnacki D; Jacobs Multiple Sclerosis Center, Department of Neurology, School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY.
  • Kolb C; Jacobs Multiple Sclerosis Center, Department of Neurology, School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY.
  • Escobar J; Jacobs Multiple Sclerosis Center, Department of Neurology, School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY.
  • Campbell R; Jacobs Multiple Sclerosis Center, Department of Neurology, School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY.
  • Tran HD; Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY.
  • Bergsland N; Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY.
  • Jakimovski D; Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY.
  • Zivadinov R; IRCCS, Fondazione Don Carlo Gnocchi, Milan, Italy.
  • Dwyer MG; Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY.
J Neuroimaging ; 30(4): 523-530, 2020 07.
Article en En | MEDLINE | ID: mdl-32391981
BACKGROUND AND PURPOSE: Efficacy of restorative cognitive rehabilitation can be predicted from baseline patient factors. In addition, patient profiles of functional connectivity are associated with cognitive reserve and moderate the structure-cognition relationship in people with multiple sclerosis (PwMS). Such interactions may help predict which PwMS will benefit most from cognitive rehabilitation. Our objective was to determine whether patient response to restorative cognitive rehabilitation is predictable from baseline structural network disruption and whether this relationship is moderated by functional connectivity. METHODS: For this single-arm repeated measures study, we recruited 25 PwMS for a 12-week program. Following magnetic resonance imaging, participants were tested using the Symbol Digit Modalities Test (SDMT) pre- and postrehabilitation. Baseline patterns of structural and functional connectivity were characterized relative to healthy controls. RESULTS: Lower white matter tract disruption in a network of region-pairs centered on the precuneus and posterior cingulate (default-mode network regions) predicted greater postrehabilitation SDMT improvement (P = .048). This relationship was moderated by profiles of functional connectivity within the network (R2 = .385, P = .017, Interaction ß = -.415). CONCLUSION: Patient response to restorative cognitive rehabilitation is predictable from the interaction between structural network disruption and functional connectivity in the default-mode network. This effect may be related to cognitive reserve.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Encéfalo / Cognición / Sustancia Blanca / Red en Modo Predeterminado / Esclerosis Múltiple Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: J Neuroimaging Asunto de la revista: DIAGNOSTICO POR IMAGEM / NEUROLOGIA Año: 2020 Tipo del documento: Article Pais de publicación: Estados Unidos
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Encéfalo / Cognición / Sustancia Blanca / Red en Modo Predeterminado / Esclerosis Múltiple Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: J Neuroimaging Asunto de la revista: DIAGNOSTICO POR IMAGEM / NEUROLOGIA Año: 2020 Tipo del documento: Article Pais de publicación: Estados Unidos