Ricerc@Sapienza

The vision of an art masterpiece is associated with brain arousal by neural processes occurring quite spontaneously in the viewer. This aesthetic experience may even elicit a response in the motor areas of the observers. In the neurorehabilitation of patients with stroke, art observation has been used for reducing psychological disorders, and creative art therapy for enhancing physical functions and cognitive abilities.

Interpretability, accuracy and a solid neurophysiological basis can be considered as the main requirements for the classification model to monitor motor imagery tasks in post-stroke motor recovery paradigms supported by the brain-computer interface technology. This study aimed at comparing the accuracy performance of different classification approaches applied on a dataset of 15 stroke patients. We also explored how the variation in the dimensionality of the feature domain would influence the different classifier performance.

Evidence suggests that sensorimotor Brain-Computer Interface (BCI) systems can be beneficial for post-stroke motor recovery. Following a successful Randomized Controlled Trial (RCT) a translational effort was made at our institution, Fondazione Santa Lucia (Rome, Italy), with the implementation of the Promotœr, an EEG-based BCI training station which is currently employed to support upper limb motor imagery training in add on to standard therapy. The Promotɶr represents a successful story of

Sensorimotor Brain-Computer Interface (BCI) systems can be beneficial for post-stroke motor recovery. A successful trial on subacute stroke patients carried out at Fondazione Santa Lucia demonstrated clinical and neurophysiological benefits derived from BCI-supported motor imagery (MI) training of the upper limb. A further translational effort led to the implementation of the Promotœr, an all-in-one BCI-supported MI training station dedicated to patients with upper limb motor impairment due to central nervous system injury of different etiology.

The development of usable and accurate brain-computer interface (BCI) systems enables the transfer of this technology to clinical routine. When working with electroencephalographic signals (EEG), an important factor to optimize the signal to noise ratio of the signal is to choose the appropriate spatial filters.

Objectives: The aim of this study was to evaluate the clinical efficacy of dual-layered mesh-covered carotid stent systems (DLS) for carotid artery stenting (CAS). Background: The need to minimize the risk for plaque debris prolapsing between stent struts following CAS has resulted in the development of DLS. Small clinical studies evaluating 2 available devices, Roadsaver and CGuard, have been recently published; none of these studies is sufficiently powered to test the role of common risk factors on the occurrence of stroke at 30 days post-CAS.

Background: Systemic hemodynamic characteristics of patients with suspected acute ischemic stroke are poorly
described. The objective of this study was to identify baseline hemodynamic characteristics of emergency department
(ED) patients with suspected acute stroke.
Methods: This was a planned analysis of the stroke cohort from a multicenter registry of hemodynamic profiling of
ED patients. The registry prospectively collected non-invasive hemodynamic measurements of patients with suspicion

Background: The Oxford Cognitive Screen (OCS) was recently developed with the aim of describing the cognitive de cits after stroke. The scale consists of 10 tasks encom- passing ve cognitive domains: attention and executive function, language, memory, number processing, and praxis. OCS was devised to be inclusive and un-confounded by aphasia and neglect.

Attention impairments are frequent in stroke patients with important consequences on the rehabilitation outcomes and quality of life. The aim of the study was to perform a comprehensive assessment of selective and intensive attention processes in a large population of brain-damaged patients, evaluating the influence of the side and site of the brain lesion, the time from stroke, and the concomitant presence of aphasia or neglect.

Dynamic motor imagery (dMI) is a motor imagery task associated with movements partially mimicking those mentally represented. As well as conventional motor imagery, dMI has been typically assessed by mental chronometry tasks. In this paper, an instrumented approach was proposed for quantifying the correspondence between upper and lower limb oscillatory movements performed on the spot during the dMI of walking vs. during actual walking. Magneto-inertial measurement units were used to measure limb swinging in three different groups: young adults, older adults and stroke patients.