Longitudinal prediction of motor dysfunction after stroke: a disconnectome study

Author:

Dulyan LilitORCID,Talozzi Lia,Pacella Valentina,Corbetta Maurizio,Forkel Stephanie J.,Thiebaut de Schotten Michel

Abstract

AbstractMotricity 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.

Funder

European Research Council

H2020 Marie Skłodowska-Curie Actions

Erasmus+

Donders Institute

Publisher

Springer Science and Business Media LLC

Subject

Histology,General Neuroscience,Anatomy

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