The sense of embodiment (SoE) is an essential element of human perception that allows individuals to control and perceive the movements of their body parts. Brain–machine interface (BMI) technology can induce SoE in real time, and adding sensory feedback through various modalities has been shown to improve BMI control and elicit SoEe. In this study, we conducted a systematic review to study BMI performance in studies that integrated SoE variables and analyzed the contribution of single or multimodal sensory stimulation. Out of 493 results, only 20 studies analyzed the SoE of humans using BMIs. Analysis of these articles revealed that 40% of the studies relating BMIs with sensory stimulation and SoE primarily focused on manipulating visual stimuli, particularly in terms of coherence (i.e., synchronous vs. asynchronous stimuli) and realism (i.e., humanoid or robotic appearance). However, no study has analyzed the independent contributions of different sensory modalities to SoE and BMI performance. These results suggest that providing a detailed description of the outcomes resulting from independent and combined effects of different sensory modalities on the experience of SoE during BMI control may be relevant for the design of neurorehabilitation programs.

Embodiment is a core construct in immersive human–computer interaction, yet it is often assumed that increasing multisensory feedback linearly enhances embodied experience. Using an extended reality brain–machine interface (XR–BMI) task, we investigated whether sensory load modulates embodiment and whether affective, experiential, and dispositional factors provide a more informative psychological account of individual differences. Participants performed a BMI task under visual, audiovisual, and audiovisual-tactile conditions, while embodiment subcomponents (ownership, agency, self-location), cybersickness, anxiety, personality traits, and task performance were assessed. Contrary to prevailing assumptions, no statistically significant differences in global embodiment or its subcomponents were observed across sensory conditions. Complementary Bayesian analyses provided moderate evidence favoring models that excluded an effect of sensory condition on embodiment. Instead, cybersickness showed the most consistent negative association with reduced embodiment across conditions. This association remained significant in combined sensitivity analyses, although its independent contribution in adjusted models was attenuated. Mediation analyses identified an indirect statistical pathway consistent with the proposed model, whereby anxiety was associated with lower embodiment via increased cybersickness. Stable personality traits showed limited explanatory value beyond cybersickness. Global embodiment was not associated with BMI performance, although exploratory analyses suggested that spatial self-location may influence the relationship between cybersickness and task performance. Overall, these findings suggest that, under the present experimental conditions, cybersickness is a more consistent correlate of embodiment than increasing sensory load, although smaller effects of sensory enrichment cannot be ruled out. These findings highlight the importance of minimizing cybersickness and promoting sensorimotor coherence when designing immersive XR–BMI systems.

Background: Subjective experience is increasingly recognised as an important component of brain–computer interface (BCI) performance in extended reality (XR) environments. Although embodiment and simulator sickness are known to influence user experience, their relationships with cortical activity during XR–BCI operation remain poorly understood. Building upon our previous investigations of embodiment and simulator sickness in XR–BCIs, the present study examined whether these subjective dimensions are associated with distinct neurophysiological patterns during repeated XR–BCI use in a participant with chronic spinal cord injury (SCI). Methods: Seventeen XR–BCI sessions performed by a participant with chronic complete SCI were analysed. Bayesian correlation analyses examined associations among embodiment, simulator sickness, BCI performance, and EEG activity. Multiple linear regression was used to identify variables independently associated with sensorimotor beta activity, and the robustness of the regression findings was evaluated using bootstrap estimation and leave-one-out sensitivity analyses. Results: Bayesian analyses identified two principal patterns of association. Sense of embodiment was positively associated with frontal theta activity (F3), whereas simulator sickness showed a negative association with sensorimotor beta activity (C3–C4). As expected, classifier acquisition accuracy was strongly associated with subsequent BCI performance. Multiple regression demonstrated that simulator sickness was the only variable independently associated with C3–C4 beta activity after accounting for embodiment and BCI performance. This association remained robust following bootstrap estimation and leave-one-out sensitivity analyses. Conclusions: Although limited to a single participant, these findings suggest that different dimensions of subjective experience during XR–BCI operation are associated with partially distinct neurophysiological correlates. In particular, simulator sickness was the variable most consistently associated with sensorimotor beta activity across all analyses. These findings provide a foundation for future longitudinal investigations of the neural mechanisms linking subjective experience and cortical dynamics during XR–BCI use.

Background: Subjective experience is increasingly recognised as an important component of brain–computer interface (BCI) performance in extended reality (XR) environments. Although embodiment and simulator sickness are known to influence user experience, their relationships with cortical activity during XR–BCI operation remain poorly understood. Building upon our previous investigations of embodiment and simulator sickness in XR–BCIs, the present study examined whether these subjective dimensions are associated with distinct neurophysiological patterns during repeated XR–BCI use in a participant with chronic spinal cord injury (SCI). Methods: Seventeen XR–BCI sessions performed by a participant with chronic complete SCI were analysed. Bayesian correlation analyses examined associations among embodiment, simulator sickness, BCI performance, and EEG activity. Multiple linear regression was used to identify variables independently associated with sensorimotor beta activity, and the robustness of the regression findings was evaluated using bootstrap estimation and leave-one-out sensitivity analyses. Results: Bayesian analyses identified two principal patterns of association. Sense of embodiment was positively associated with frontal theta activity (F3), whereas simulator sickness showed a negative association with sensorimotor beta activity (C3–C4). As expected, classifier acquisition accuracy was strongly associated with subsequent BCI performance. Multiple regression demonstrated that simulator sickness was the only variable independently associated with C3–C4 beta activity after accounting for embodiment and BCI performance. This association remained robust following bootstrap estimation and leave-one-out sensitivity analyses. Conclusions: Although limited to a single participant, these findings suggest that different dimensions of subjective experience during XR–BCI operation are associated with partially distinct neurophysiological correlates. In particular, simulator sickness was the variable most consistently associated with sensorimotor beta activity across all analyses. These findings provide a foundation for future longitudinal investigations of the neural mechanisms linking subjective experience and cortical dynamics during XR–BCI use.

Background/Objectives: This study aimed to identify and categorise the educational, training, and support needs of informal caregivers of stroke survivors in order to inform the development of an Immersive Virtual Reality (IVR) intervention within the European caregIVR project (Project No. 101129454; EU4Health Programme). Methods: A qualitative descriptive study was conducted using three focus groups involving informal caregivers, healthcare professionals and other stakeholders, and academics and healthcare students in Portugal (n = 33). Discussions explored everyday caregiving challenges, priority educational needs, and expectations regarding digital support tools. Data were analysed using qualitative content analysis with an inductive–deductive coding strategy supported by NVivo software (version 14). Results: Participants identified the transition from hospital to home as the most critical stage of the caregiving journey, characterised by poor continuity of care and insufficient preparation before hospital discharge. Major challenges included limited stroke-related health literacy, difficulties adapting the home environment, and substantial emotional, financial, and social burdens that frequently resulted in social isolation and caregiver burnout. Participants regarded IVR as a promising educational strategy for delivering practical, repetitive, and low-risk skills training. Conclusions: The findings suggest that caregiver empowerment should be promoted through progressive, person-centred, and non-judgemental educational programmes tailored to caregivers’ evolving needs. Caregivers should be supported by multidisciplinary teams capable of addressing the clinical, practical, and psychosocial complexity of post-stroke home care. Rather than replacing professional support, IVR should be considered a complementary educational tool with the potential to improve caregivers’ preparedness, confidence, and safety in the home-care setting.