Athanasios Vourvopoulos
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View article: Recommendations for Combining Brain-Computer Interface, Motor Imagery, and Virtual Reality in Upper Limb Stroke Rehabilitation: Qualitative Participatory Design Study
Recommendations for Combining Brain-Computer Interface, Motor Imagery, and Virtual Reality in Upper Limb Stroke Rehabilitation: Qualitative Participatory Design Study Open
Background The high incidence and prevalence of upper limb impairment post stroke highlights the need for advancements in rehabilitation. Brain-computer interfaces (BCIs) represent a promising technology by directly training the central ne…
View article: When embodiment matters most: a confirmatory study on VR priming in motor imagery brain-computer interfaces training
When embodiment matters most: a confirmatory study on VR priming in motor imagery brain-computer interfaces training Open
Background Virtual Reality (VR) feedback is increasingly integrated into Brain-Computer Interface (BCI) applications, enhancing the Sense of Embodiment (SoE) toward virtual avatars and fostering more vivid motor imagery (MI). VR-based MI-B…
View article: Upper-alpha EEG neurofeedback training promotes reorganization of both clustered and integrated brain activity
Upper-alpha EEG neurofeedback training promotes reorganization of both clustered and integrated brain activity Open
View article: Identifying EEG biomarkers of sense of embodiment in virtual reality: insights from spatio-spectral features
Identifying EEG biomarkers of sense of embodiment in virtual reality: insights from spatio-spectral features Open
The Sense of Embodiment (SoE) refers to the subjective experience of perceiving a non-biological body part as one's own. Virtual Reality (VR) provides a powerful platform to manipulate SoE, making it a crucial factor in immersive human-com…
View article: Time-varying EEG spectral power predicts evoked and spontaneous fMRI motor brain activity
Time-varying EEG spectral power predicts evoked and spontaneous fMRI motor brain activity Open
Simultaneous EEG-fMRI recordings are increasingly used to investigate brain activity by leveraging the complementary high spatial and high temporal resolution of fMRI and EEG signals respectively. It remains unclear, however, to what degre…
View article: Multimodal mapping of spatial attention for unilateral spatial neglect in VR: a proof of concept study using eye-tracking and mobile EEG
Multimodal mapping of spatial attention for unilateral spatial neglect in VR: a proof of concept study using eye-tracking and mobile EEG Open
Unilateral spatial neglect (USN) is a complex spatial attentional disorder consisting of a failure to attend to the contralesional side of space, frequently seen after a stroke. However, the majority of cases go undiagnosed due to the lack…
View article: EEG-based action anticipation in human-robot interaction: a comparative pilot study
EEG-based action anticipation in human-robot interaction: a comparative pilot study Open
As robots become integral to various sectors, improving human-robot collaboration is crucial, particularly in anticipating human actions to enhance safety and efficiency. Electroencephalographic (EEG) signals offer a promising solution, as…
View article: Brain imaging and clinical outcome of embodied VR-BCI training in chronic stroke patients: a longitudinal pilot study
Brain imaging and clinical outcome of embodied VR-BCI training in chronic stroke patients: a longitudinal pilot study Open
View article: Investigating the synergistic neuromodulation effect of bilateral rTMS and VR brain-computer interfaces training in chronic stroke patients
Investigating the synergistic neuromodulation effect of bilateral rTMS and VR brain-computer interfaces training in chronic stroke patients Open
Objective. Stroke is a major cause of adult disability worldwide, resulting in motor impairments. To regain motor function, patients undergo rehabilitation, typically involving repetitive movement training. For those who lack volitional mo…
View article: Democratizing EEG: Embedding Electroencephalography in a Head-Mounted Display for Ubiquitous Brain-Computer Interfacing
Democratizing EEG: Embedding Electroencephalography in a Head-Mounted Display for Ubiquitous Brain-Computer Interfacing Open
Open hardware and the need for ecologically valid measurements drive the Electroencephalography (EEG) democratization movement—EEG has been steadily transcending the boundaries of clinical research, making its way into interdisciplinary fi…
View article: Bridging the Gap between Project-Oriented and Exercise-Oriented Automatic Assessment Tools
Bridging the Gap between Project-Oriented and Exercise-Oriented Automatic Assessment Tools Open
In this study, we present the DP Plugin for IntelliJ IDEA, designed to extend the Drop Project (DP) Automatic Assessment Tool (AAT) by making it more suitable for handling small exercises in exercise-based learning environments. Our aim wa…
View article: Effects of motor imagery-based neurofeedback training after bilateral repetitive transcranial magnetic stimulation on post-stroke upper limb motor function: an exploratory crossover clinical trial
Effects of motor imagery-based neurofeedback training after bilateral repetitive transcranial magnetic stimulation on post-stroke upper limb motor function: an exploratory crossover clinical trial Open
Objective: To examine the clinical effects of combining motor imagery-based neurofeedback training with bilateral repetitive transcranial magnetic stimulation for upper limb motor function in subacute and chronic stroke. Design: Clinical t…
View article: Avatar embodiment prior to motor imagery training in VR does not affect the induced event-related desynchronization: a pilot study
Avatar embodiment prior to motor imagery training in VR does not affect the induced event-related desynchronization: a pilot study Open
Motor-imagery brain-computer interfaces (MI-BCIs) have the potential to improve motor function in individuals with neurological disorders. Their effectiveness relies on patients’ ability to generate reliable MI-related electroencephalograp…
View article: Long-Term Effect of VR-based Brain-Computer Interfaces Training in Brain Activity and Clinical Outcome: A Study with Chronic Stroke Patients
Long-Term Effect of VR-based Brain-Computer Interfaces Training in Brain Activity and Clinical Outcome: A Study with Chronic Stroke Patients Open
Restorative Brain-Computer Interfaces (BCIs) can provide an alternative non-muscular channel for stroke patients who lack volitional movement by reinforcing the modulation of sensorimotor rhythms through motor-imagery (MI). MI practice can…
View article: Effect of head-mounted virtual reality and vibrotactile feedback in ERD during motor imagery Brain–computer interface training
Effect of head-mounted virtual reality and vibrotactile feedback in ERD during motor imagery Brain–computer interface training Open
Brain–computer interfaces (BCIs) can provide a non-muscular channel of control to stroke patients for motor rehabilitation. This can be achieved through the use of motor imagery (MI) training, involving the modulation of sensorimotor rhyth…
View article: Two is better? combining EEG and fMRI for BCI and neurofeedback: a systematic review
Two is better? combining EEG and fMRI for BCI and neurofeedback: a systematic review Open
Electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) are two commonly used non-invasive techniques for measuring brain activity in neuroscience and brain–computer interfaces (BCI). Objective . In this review, we fo…
View article: Brain activation by a VR-based motor imagery and observation task: An fMRI study
Brain activation by a VR-based motor imagery and observation task: An fMRI study Open
Training motor imagery (MI) and motor observation (MO) tasks is being intensively exploited to promote brain plasticity in the context of post-stroke rehabilitation strategies. This may benefit from the use of closed-loop neurofeedback, em…
View article: NeuXus open-source tool for real-time artifact reduction in simultaneous EEG-fMRI
NeuXus open-source tool for real-time artifact reduction in simultaneous EEG-fMRI Open
The simultaneous acquisition of electroencephalography and functional magnetic resonance imaging (EEG-fMRI) allows the complementary study of the brain's electrophysiology and hemodynamics with high temporal and spatial resolution. One app…
View article: Electrophysiological Signals of Embodiment and MI-BCI Training in VR
Electrophysiological Signals of Embodiment and MI-BCI Training in VR Open
DATASET DETAILS: Participant demographics: A total of 26 participants were included, consisting of 10 males (mean age 25.4 ± 7.4) and 16 females (mean age 23 ± 3.2). All participants were right-handed, rep…
View article: Electrophysiological Signals of Embodiment and MI-BCI Training in VR
Electrophysiological Signals of Embodiment and MI-BCI Training in VR Open
DATASET DETAILS: Participant demographics: A total of 26 participants were included, consisting of 10 males (mean age 25.4 ± 7.4) and 16 females (mean age 23 ± 3.2). All participants were right-handed, rep…
View article: Editorial: Neurotechnologies and brain-computer interaction for neurorehabilitation
Editorial: Neurotechnologies and brain-computer interaction for neurorehabilitation Open
EDITORIAL article Front. Neuroergonomics, 22 June 2023Sec. Neurotechnology and Systems Neuroergonomics Volume 4 - 2023 | https://doi.org/10.3389/fnrgo.2023.1203934
View article: Investigating the impact of visual perspective in a motor imagery-based brain-robot interaction: A pilot study with healthy participants
Investigating the impact of visual perspective in a motor imagery-based brain-robot interaction: A pilot study with healthy participants Open
Introduction Motor Imagery (MI)-based Brain Computer Interfaces (BCI) have raised gained attention for their use in rehabilitation therapies since they allow controlling an external device by using brain activity, in this way promoting bra…
View article: A Review of Online Classification Performance in Motor Imagery-Based Brain–Computer Interfaces for Stroke Neurorehabilitation
A Review of Online Classification Performance in Motor Imagery-Based Brain–Computer Interfaces for Stroke Neurorehabilitation Open
Motor imagery (MI)-based brain–computer interfaces (BCI) have shown increased potential for the rehabilitation of stroke patients; nonetheless, their implementation in clinical practice has been restricted due to their low accuracy perform…
View article: fMRI study of a VR-based motor imagery and observation task, a conventional motor imagery task, and a motor execution task
fMRI study of a VR-based motor imagery and observation task, a conventional motor imagery task, and a motor execution task Open
We used functional magnetic resonance imaging (fMRI) to map brain activation during: i) a VR-based motor imagery and observation task called NeuRow; ii) a conventional non-VR, motor imagery task based on the Graz paradigm; and iii) a motor…
View article: fMRI study of a VR-based motor imagery and observation task, a conventional motor imagery task, and a motor execution task
fMRI study of a VR-based motor imagery and observation task, a conventional motor imagery task, and a motor execution task Open
We used functional magnetic resonance imaging (fMRI) to map brain activation during: i) a VR-based motor imagery and observation task called NeuRow; ii) a conventional non-VR, motor imagery task based on the Graz paradigm; and iii) a motor…
View article: Brain activation by a VR-based motor imagery and observation task: An fMRI study
Brain activation by a VR-based motor imagery and observation task: An fMRI study Open
Training motor imagery (MI) and motor observation (MO) tasks is being intensively exploited to promote brain plasticity in the context of post-stroke rehabilitation strategies. The desired brain plasticity mechanisms may benefit from the u…
View article: A Review of Online Classification Performance in Motor Imagery-based Brain-Computer Interfaces for Neurorehabilitation
A Review of Online Classification Performance in Motor Imagery-based Brain-Computer Interfaces for Neurorehabilitation Open
Motor imagery(MI)-based Brain-Computer Interfaces (BCI) have shown increased potential for the rehabilitation of stroke patients; nonetheless, their implementation in clinical practice has been restricted due to their low accuracy performa…
View article: Physiological Signals During Motor Imagery Brain-Computer Interface Training Using Virtual Reality and Haptics
Physiological Signals During Motor Imagery Brain-Computer Interface Training Using Virtual Reality and Haptics Open
Participant demographics: The sample is consisted by 20 healthy volunteers with a mean age of 24.79 years (SD = 3.54 years). The cohort was 68% male and 32% female. In terms of education, 16% had attended only high school,…
View article: Physiological Signals During Motor Imagery Brain-Computer Interface Training Using Virtual Reality and Haptics
Physiological Signals During Motor Imagery Brain-Computer Interface Training Using Virtual Reality and Haptics Open
Participant demographics: The sample is consisted by 20 healthy volunteers with a mean age of 24.79 years (SD = 3.54 years). The cohort was 68% male and 32% female. In terms of education, 16% had attended only high schoo…
View article: Influence of VR-based Brain-Computer Interfaces Training in Brain Activity and Clinical Outcome in Chronic Stroke: A Longitudinal Study of Single Cases
Influence of VR-based Brain-Computer Interfaces Training in Brain Activity and Clinical Outcome in Chronic Stroke: A Longitudinal Study of Single Cases Open
Background: Restorative Brain-Computer Interfaces (BCI's) can provide an alternative non-muscular channel for patients who lack volitional movement by reinforcing the modulation of sensorimotor rhythms through motor-imagery (MI). MI practi…