A5069173153- EEG and Brain-Computer Interfaces
- Functional Brain Connectivity Studies
- Neural dynamics and brain function
- Neuroscience and Neural Engineering
- Muscle activation and electromyography studies
- Neural and Behavioral Psychology Studies
- Gaze Tracking and Assistive Technology
- Epilepsy research and treatment
- Neuroscience and Neuropharmacology Research
- Stroke Rehabilitation and Recovery
- Advanced Memory and Neural Computing
- Traumatic Brain Injury Research
- Cognitive Functions and Memory
- Neurological disorders and treatments
- Ion channel regulation and function
- Advanced MRI Techniques and Applications
- Complex Network Analysis Techniques
- Cardiac Arrest and Resuscitation
- Action Observation and Synchronization
- Advanced Neuroimaging Techniques and Applications
- Pharmacological Effects and Toxicity Studies
- Transcranial Magnetic Stimulation Studies
- Psychosomatic Disorders and Their Treatments
- Botulinum Toxin and Related Neurological Disorders
- Blind Source Separation Techniques
Fondazione Santa Lucia
2016-2025
Istituti di Ricovero e Cura a Carattere Scientifico
2016-2025
Weatherford College
2023
Istituto Superiore di Sanità
2023
University of Messina
2023
Universidade Federal de Santa Catarina
2023
Sapienza University of Rome
1998-2022
Istituti Clinici Scientifici Maugeri
2020
Massachusetts General Hospital
2020
Casa Colina Centers for Rehabilitation
2020
In recent years, new research has brought the field of EEG-based Brain-Computer Interfacing (BCI) out its infancy and into a phase relative maturity through many demonstrated prototypes such as brain-controlled wheelchairs, keyboards, computer games. With this proof-of-concept in past, time is now ripe to focus on development practical BCI technologies that can be lab real-world applications. particular, we prospect improving lives countless disabled individuals combination technology with...
Motor imagery (MI) is assumed to enhance poststroke motor recovery, yet its benefits are debatable. Brain-computer interfaces (BCIs) can provide instantaneous and quantitative measure of cerebral functions modulated by MI. The efficacy BCI-monitored MI practice as add-on intervention usual rehabilitation care was evaluated in a randomized controlled pilot study subacute stroke patients.Twenty-eight hospitalized patients with severe deficits were into 2 groups: 1-month BCI-supported training...
The aim of this work is to characterize quantitatively the performance a body techniques in frequency domain for estimation cortical connectivity from high-resolution EEG recordings different operative conditions commonly encountered practice. Connectivity pattern estimators investigated are Directed Transfer Function (DTF), its modification known as direct DTF (dDTF) and Partial Coherence (PDC). Predefined patterns were simulated then retrieved by application DTF, dDTF, PDC methods....
The brain-computer interface (BCI) field has grown dramatically over the past few years, but there are still no coordinated efforts to ensure efficient communication and collaboration among key stakeholders. European Commission (EC) recently renewed their establish such a coordination effort by funding support action for BCI community called ‘BNCI Horizon 2020’ after ‘Future BNCI’ project. Major goals of this new project include developing roadmap next decade beyond, encouraging discussion...
Albeit research on brain-computer interfaces (BCI) for controlling applications has expanded tremendously, we still face a translational gap when bringing BCI to end-users. To bridge this gap, adapted the user-centered design (UCD) and development which implies shift from focusing single aspects, such as accuracy information transfer rate (ITR), more holistic user experience. The UCD implements an iterative process between end-users developers based valid evaluation procedure. Within...
Analyzing neural signals and providing feedback in realtime is one of the core characteristics a brain-computer interface (BCI). As this feature may be employed to induce plasticity, utilizing BCI technology for therapeutic purposes increasingly gaining popularity community. In paper, we discuss state-of-the-art research on topic, address principles challenges inducing plasticity by means BCI, delineate problems study design outcome evaluation arising context. We conclude with list open...
Understanding the neural mechanisms responsible for human social interactions is difficult, since brain activities of two or more individuals have to be examined simultaneously and correlated with observed patterns. We introduce concept hyper-brain network, a connectivity pattern representing at once information flow among cortical regions single as well relations areas distinct brains. Graph analysis networks constructed from EEG scanning 26 couples playing Iterated Prisoner's Dilemma...
The directed transfer function (DTF) and the partial coherence (PDC) are frequency-domain estimators that able to describe interactions between cortical areas in terms of concept Granger causality. However, classical estimation these methods is based on multivariate autoregressive modelling (MVAR) time series, which requires stationarity signals. In this way, transient pathways information remains hidden. objective study test a time-varying method for rapidly changing connectivity...
The main purpose of electroencephalography (EEG)-based brain-computer interface (BCI) technology is to provide an alternative channel support communication and control when motor pathways are interrupted. Despite the considerable amount research focused on improvement EEG signal detection translation into output commands, little known about how learning operate a BCI device may affect brain plasticity. This study investigated if sensorimotor rhythm-based training would induce persistent...
To be correctly mastered, brain-computer interfaces (BCIs) need an uninterrupted flow of feedback to the user. This is usually delivered through visual channel. Our aim was explore benefits vibrotactile during users' training and control EEG-based BCI applications. A protocol for delivering feedback, including specific hardware software arrangements, specified. In three studies with 33 subjects (including 3 spinal cord injury), we compared addressing: (I) feasibility subjects' master their...
Recently brain-computer interface (BCI) control was integrated into the commercial assistive technology product QualiWORLD (QualiLife Inc., Paradiso-Lugano, CH). Usability of first prototype evaluated in terms effectiveness (accuracy), efficiency (information transfer rate and subjective workload/NASA Task Load Index) user satisfaction (Quebec User Evaluation Satisfaction with Technology, QUEST 2.0) by four end-users severe disabilities. Three experts device from a third person perspective....
In their early days, brain-computer interfaces (BCIs) were only considered as control channel for end users with severe motor impairments such people in the locked-in state. But, thanks to multidisciplinary progress achieved over last decade, range of BCI applications has been substantially enlarged. Indeed, today technology cannot translate brain signals directly into signals, but also can combine kind artificial output a natural muscle-based output. Thus, integration multiple biological...
The purpose of this study was to investigate the support attentional and memory processes in controlling a P300-based brain-computer interface (BCI) people suffering from amyotrophic lateral sclerosis (ALS). Eight with ALS performed two behavioural tasks: i) rapid serial visual presentation (RSVP) task, screening temporal filtering capacity speed update attentive filter, ii) change detection spatial capacity. participants were also asked perform BCI spelling task. By using correlation...
Background and Purpose— New strategies like motor imagery based brain–computer interfaces, which use brain signals such as event-related desynchronization (ERD) or synchronization (ERS) for rehabilitation after a stroke, are undergoing investigation. However, little is known about the relationship between ERD ERS patterns degree of stroke impairment. The aim this work was to clarify relationship. Methods— EEG during execution were measured in 29 patients with first-ever monolateral causing...
Brain-Computer Interfaces (BCIs) process brain activity in real time, and mediate non-muscular interaction between individual the environment. The subserving algorithms can be used to provide a quantitative measurement of physiological or pathological cognitive processes - such as Motor Imagery (MI) feed it back user. In this paper we propose clinical application BCI-based rehabilitation device, promote motor recovery after stroke. device therapy exploiting its use follow same principles...
<h3>Objective</h3> This international multicenter, prospective, observational study aimed at identifying predictors of short-term clinical outcome in patients with prolonged disorders consciousness (DoC) due to acquired severe brain injury. <h3>Methods</h3> Patients vegetative state/unresponsive wakefulness syndrome (VS/UWS) or minimally conscious state (MCS) were enrolled within 3 months from their injury 12 specialized medical institutions. Demographic, anamnestic, clinical, and...