Prediction of rehabilitation induced motor recovery after stroke using a multi-dimensional and multi-modal approach

Frontiers in Aging Neuroscience

Neuroscience

Andrea Turolla¹  Eleonora Mascotto²  Anna Maria Cortese³  Anna Vedovato⁴  Ilaria Parrotta⁵  Rachele Pezzetta⁵  Giorgio Arcara⁵  Francesca Burgio⁵  Nicola Filippini⁵  Elena Rigon⁵  Lorenza Maistrello⁵  Martina Andò⁵  Rita Barresi⁵  Sara Zago⁵  Pierpaolo Busan⁵  Daniela D’Imperio⁵  Laura Danesin⁵  Dante Mantini⁶  Silvia Salvalaggio⁷  Marco Zorzi⁸  Giulio Ferrazzi⁹ 

[1] Department of Biomedical and Neuromotor Sciences (DIBINEM), Alma Mater Studiorum – Università di Bologna, Bologna, Italy;Unit of Occupational Medicine, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy;Department of Physical Medicine and Rehabilitation, Venice Hospital, Venice, Italy;Department of Rehabilitation Medicine, AULSS 3 Serenissima, Venice, Italy;General Hospital San Camillo of Treviso, Treviso, Italy;IRCCS San Camillo Hospital, Venice, Italy;IRCCS San Camillo Hospital, Venice, Italy;Movement Control and Neuroplasticity Research Group, KU Leuven, Leuven, Belgium;IRCCS San Camillo Hospital, Venice, Italy;Padova Neuroscience Center, Università degli Studi di Padova, Padua, Italy;IRCCS San Camillo Hospital, Venice, Italy;Padova Neuroscience Center, Università degli Studi di Padova, Padua, Italy;Department of General Psychology, University of Padova, Padua, Italy;Philips Healthcare, Milan, Italy;

关键词: stroke;    rehabilitation-induced recovery;    prediction;    prognosis;    neurophysiology;    neuroimaging;    biomarkers;    upper limb;   

DOI  :  10.3389/fnagi.2023.1205063

 received in 2023-04-13, accepted in 2023-06-19,  发布年份 2023

来源: Frontiers

【 摘 要 】

BackgroundStroke is a debilitating disease affecting millions of people worldwide. Despite the survival rate has significantly increased over the years, many stroke survivors are left with severe impairments impacting their quality of life. Rehabilitation programs have proved to be successful in improving the recovery process. However, a reliable model of sensorimotor recovery and a clear identification of predictive markers of rehabilitation-induced recovery are still needed. This article introduces the cross-modality protocols designed to investigate the rehabilitation treatment’s effect in a group of stroke survivors.Methods/designA total of 75 stroke patients, admitted at the IRCCS San Camillo rehabilitation Hospital in Venice (Italy), will be included in this study. Here, we describe the rehabilitation programs, clinical, neuropsychological, and physiological/imaging [including electroencephalography (EEG), transcranial magnetic stimulation (TMS), and magnetic resonance imaging (MRI) techniques] protocols set up for this study. Blood collection for the characterization of predictive biological biomarkers will also be taken. Measures derived from data acquired will be used as candidate predictors of motor recovery.Discussion/summaryThe integration of cutting-edge physiological and imaging techniques, with clinical and cognitive assessment, dose of rehabilitation and biological variables will provide a unique opportunity to define a predictive model of recovery in stroke patients. Taken together, the data acquired in this project will help to define a model of rehabilitation induced sensorimotor recovery, with the final aim of developing personalized treatments promoting the greatest chance of recovery of the compromised functions.

【 授权许可】

Unknown   
Copyright © 2023 Salvalaggio, Turolla, Andò, Barresi, Burgio, Busan, Cortese, D’Imperio, Danesin, Ferrazzi, Maistrello, Mascotto, Parrotta, Pezzetta, Rigon, Vedovato, Zago, Zorzi, Arcara, Mantini and Filippini.