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Multimodal and multidomain lesion network mapping enhances prediction of sensorimotor behavior in stroke patients.
Jimenez-Marin, Antonio; De Bruyn, Nele; Gooijers, Jolien; Llera, Alberto; Meyer, Sarah; Alaerts, Kaat; Verheyden, Geert; Swinnen, Stephan P; Cortes, Jesus M.
Afiliación
  • Jimenez-Marin A; Computational Neuroimaging Group, Biocruces-Bizkaia Health Research Institute, Biocruces Bizkaia, Plaza de Cruces S/N, 48903, Barakaldo, Spain.
  • De Bruyn N; Biomedical Research Doctorate Program, University of the Basque Country (UPV/EHU), Leioa, Spain.
  • Gooijers J; Department of Rehabilitation Sciences, KU Leuven, Leuven, Belgium.
  • Llera A; Movement Control and Neuroplasticity Research Group, Department of Movement Sciences, KU Leuven, Leuven, Belgium.
  • Meyer S; LBI-KU Leuven Brain Institute, Leuven, Belgium.
  • Alaerts K; Donders Institute for Brain, Cognition and Behaviour, Centre for Cognitive Neuroimaging, Nijmegen, The Netherlands.
  • Verheyden G; Department of Cognitive Neuroscience, Radboud University Medical Centre, Nijmegen, The Netherlands.
  • Swinnen SP; LIS Data Solutions, Machine Learning Group, Santander, Spain.
  • Cortes JM; Department of Rehabilitation Sciences, KU Leuven, Leuven, Belgium.
Sci Rep ; 12(1): 22400, 2022 12 27.
Article en En | MEDLINE | ID: mdl-36575263
Beyond the characteristics of a brain lesion, such as its etiology, size or location, lesion network mapping (LNM) has shown that similar symptoms after a lesion reflects similar dis-connectivity patterns, thereby linking symptoms to brain networks. Here, we extend LNM by using a multimodal strategy, combining functional and structural networks from 1000 healthy participants in the Human Connectome Project. We apply multimodal LNM to a cohort of 54 stroke patients with the aim of predicting sensorimotor behavior, as assessed through a combination of motor and sensory tests. Results are two-fold. First, multimodal LNM reveals that the functional modality contributes more than the structural one in the prediction of sensorimotor behavior. Second, when looking at each modality individually, the performance of the structural networks strongly depended on whether sensorimotor performance was corrected for lesion size, thereby eliminating the effect that larger lesions generally produce more severe sensorimotor impairment. In contrast, functional networks provided similar performance regardless of whether or not the effect of lesion size was removed. Overall, these results support the extension of LNM to its multimodal form, highlighting the synergistic and additive nature of different types of network modalities, and their corresponding influence on behavioral performance after brain injury.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Lesiones Encefálicas / Accidente Cerebrovascular / Conectoma / Enfermedades del Sistema Nervioso Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Sci Rep Año: 2022 Tipo del documento: Article País de afiliación: España Pais de publicación: Reino Unido
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Lesiones Encefálicas / Accidente Cerebrovascular / Conectoma / Enfermedades del Sistema Nervioso Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Sci Rep Año: 2022 Tipo del documento: Article País de afiliación: España Pais de publicación: Reino Unido