We still have researchers that think predicting failure to recover is useful. I'd fire any researcher that did that type of research, it is totally fucking useless!
Prediction of Rehabilitation Induced Motor rEcovery afteR Stroke using a multi-dimensional and multi-modal approach (PRIMERS)
Silvia Salvalaggio1, 2*, 
Andrea Turolla3, 4, Martina Ando'2,
Rita Barresi2,
Francesca Burgio2,
Pierpaolo Busan2,
Anna Maria Cortese5, Daniela D'imperio2,
Laura Danesin2,
Giulio Ferrazzi2, 6, 
Lorenza Maistrello2, Eleonora Mascotto7,
Ilaria Parrotta2,
Rachele Pezzetta2,
Elena Rigon2,
Anna Vedovato8, Sara Zago2,
Marco Zorzi2, 9,
Giorgio Arcara2,
Dante Mantini10 and 
Nicola Filippini2* - 1Padova Neuroscience Center, Università degli Studi di Padova, Italy
- 2IRCCS San Camillo Hospital, Italy
- 3Department of Biomedical and Neuromotor Sciences – DIBINEM, Alma Mater Università di Bologna, Italy
- 4Unit of Occupational Medicine, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Italy
- 5Rehabilitation Medicine Department, AULSS 3 Serenissima, Italy
- 6Philips Healthcare, Italy
- 7Department of Physical Medicine & Rehabilitation, Venice Hospital, Italy
- 8General Hospital San Camillo of Treviso, Italy
- 9University of Padova, Department of General Psychology, Italy
- 10Movement Control and Neuroplasticity Research Group, KU Leuven, Belgium
Background: Stroke 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 paper introduces the cross-modality protocols designed to investigate the rehabilitation treatment's effect in a group of stroke survivors.
Methods/Design: A 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 EEG, TMS and MRI techniques) protocols set up for this study. Blood collection for the characterisation of predictive biological biomarkers will also be taken. Measures derived from data acquired will be used as predictors of motor recovery.
Discussion/Summary: The 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 personalised treatments promoting the greatest chance of recovery of the compromised functions.
Keywords: Stroke, rehabilitation-induced recovery, prediction, prognosis, Neurophysiology, Neuroimaging, biomarkers, upper limb ha formattato: Italiano
Received: 13 Apr 2023;
Accepted: 19 Jun 2023.
Copyright: © 2023 Salvalaggio, Turolla, Ando', Barresi, Burgio, Busan, Cortese, D'imperio, Danesin, Ferrazzi, Maistrello, Mascotto, Parrotta, Pezzetta, Rigon, Vedovato, Zago, Zorzi, Arcara, Mantini and Filippini. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Mx. Silvia Salvalaggio, Padova Neuroscience Center, Università degli Studi di Padova, Padova, Italy
Mx. Nicola Filippini, IRCCS San Camillo Hospital, Venice, Italy
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