PERSonalized rObotic NeurorehAbilitation for Stroke Survivors

Overview

The aim is to carry out a first clinical study, to expand existing knowledge about the neurophysiological mechanisms underlying post-stroke recovery. The information acquired during this phase will be used as building blocks to develop customized protocols. Understanding the mechanisms underlying stroke-induced motor deficits and motor recovery is mandatory to improve clinicians; ability to guide the repair of the affected neural structures. The motor system comprises a network of cortical and subcortical areas interacting via excitatory and inhibitory circuits, thereby governing motor behaviour. Stroke lesions cause neural dysfunction both at the lesion site and in remote brain regions. Abnormal interactions among cortical regions within the motor network contribute to the motor impairment after stroke. Longitudinal analysis of neural activity and connectivity can help to understand the pathophysiology mechanisms underlying functional impairment and recovery after stroke. Analysis of the data will try to extract biomarkers of plasticity and recovery that will be used to design customized therapeutic interventions.

Consecutive stroke patients admitted to the Stroke Unit will be enrolled. Both ischaemic and hemorrhagic strokes above 18-years of age will be recruited. A dedicated encrypted database will be developed, and the following items will be collected: age, sex, aetiology of stroke, TOAST classification, Modified Rankin Scale before stroke and at the discharge from the Stroke Unit and after 3 months from the stroke (in survivors), NIHSS at the onset, at the discharge from the Stroke Unit, and after 3 months from the stroke (in survivors), neuroimaging studies at the onset (CT, AngioCT, MRI) and the follow up, acute treatment (for ischaemic strokes, fibrinolysis, primary or rescue thrombectomy, standard care), comorbidity (diabetes, hypertension, smoking habits, heart disease, atrial fibrillation, etc), biochemical and genetic biomarkers from blood and urine. The clinical and biochemical section of our database will include "yes or no" dichotomic items agreed by all groups in a preliminary consensus phase, specifically designed to define the clinical features known to be relevant in strokes.

Conditions