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Longitudinal prediction of motor dysfunction after stroke: a disconnectome study.
Dulyan, Lilit; Talozzi, Lia; Pacella, Valentina; Corbetta, Maurizio; Forkel, Stephanie J; Thiebaut de Schotten, Michel.
Afiliación
  • Dulyan L; Groupe d'Imagerie Neurofonctionnelle, Institut Des Maladies Neurodégénératives-UMR 5293, CNRS, CEA, University of Bordeaux, Bordeaux, France. lidulyan@gmail.com.
  • Talozzi L; Brain Connectivity and Behaviour Laboratory, Sorbonne University, Paris, France. lidulyan@gmail.com.
  • Pacella V; Donders Centre for Brain Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands. lidulyan@gmail.com.
  • Corbetta M; Groupe d'Imagerie Neurofonctionnelle, Institut Des Maladies Neurodégénératives-UMR 5293, CNRS, CEA, University of Bordeaux, Bordeaux, France.
  • Forkel SJ; Brain Connectivity and Behaviour Laboratory, Sorbonne University, Paris, France.
  • Thiebaut de Schotten M; Groupe d'Imagerie Neurofonctionnelle, Institut Des Maladies Neurodégénératives-UMR 5293, CNRS, CEA, University of Bordeaux, Bordeaux, France.
Brain Struct Funct ; 227(9): 3085-3098, 2022 Dec.
Article en En | MEDLINE | ID: mdl-36334132
Motricity is the most commonly affected ability after a stroke. While many clinical studies attempt to predict motor symptoms at different chronic time points after a stroke, longitudinal acute-to-chronic studies remain scarce. Taking advantage of recent advances in mapping brain disconnections, we predict motor outcomes in 62 patients assessed longitudinally two weeks, three months, and one year after their stroke. Results indicate that brain disconnection patterns accurately predict motor impairments. However, disconnection patterns leading to impairment differ between the three-time points and between left and right motor impairments. These results were cross-validated using resampling techniques. In sum, we demonstrated that while some neuroplasticity mechanisms exist changing the structure-function relationship, disconnection patterns prevail when predicting motor impairment at different time points after stroke.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Accidente Cerebrovascular Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Brain Struct Funct Asunto de la revista: CEREBRO Año: 2022 Tipo del documento: Article País de afiliación: Francia

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Accidente Cerebrovascular Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Brain Struct Funct Asunto de la revista: CEREBRO Año: 2022 Tipo del documento: Article País de afiliación: Francia