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BACKGROUND Humans continuously adapt through a perception-action cycle, where sensory inputs shape actions, and subsequent outcomes, influenced by rewards and penalties, modify future behaviors. Functional Neurological Disorder (FND) may arise from maladaptive learning in this cycle, creating dysfunctional behavior patterns that reduce agency and disrupt functional responses. FND encompasses functional seizures, movement disorders, dizziness, and cognitive impairments, significantly impacting quality of life. Recent advances in neurotechnologies, particularly extended reality (XR), present opportunities for novel therapeutic approaches targeting FND. OBJECTIVE This study aimed to assess the usability of an XR neurotechnology platform designed for biofeedback training in functional limb weakness, integrating haptic and visual feedback to support motor control and rehabilitation for FND patients. METHODS A mixed-methods approach was employed, a hands-on co-design workshop with three FND patient representatives with lived experience and three healthcare professionals from the UK’s Royal Preston Hospital. Participants engaged in usability testing across three XR training tasks: VR relaxation, XR position feedback control, and XR force feedback control. System Usability Scale (SUS) scores were collected, and qualitative written feedback data was analyzed using NVivo to identify user needs and areas for platform improvement. RESULTS High usability scores were observed for the XR position feedback control and VR relaxation training tasks, with most participants rating them above 85, reflecting excellent usability and satisfaction. However, the XR force feedback task revealed variability in scores, particularly in participant with conditions such as functional dystonia, indicating the need for task personalization. Qualitative analysis highlighted themes of customization, comfort, accessibility, and XR technological quality as critical factors for enhancing user experience. CONCLUSIONS This study demonstrated the potential of XR neurotechnology for FND rehabilitation, with high usability for XR position feedback control and VR relaxation training tasks. However, the XR force feedback task showed mixed usability, suggesting that a “one-size-fits-all” approach may not be suitable for all FND conditions. Enhancements in comfort, personalization, and accessibility are essential for optimizing user satisfaction. Future research should explore task-specific customizations to better accommodate individual needs in FND rehabilitation. CLINICALTRIAL N/A
BACKGROUND Humans continuously adapt through a perception-action cycle, where sensory inputs shape actions, and subsequent outcomes, influenced by rewards and penalties, modify future behaviors. Functional Neurological Disorder (FND) may arise from maladaptive learning in this cycle, creating dysfunctional behavior patterns that reduce agency and disrupt functional responses. FND encompasses functional seizures, movement disorders, dizziness, and cognitive impairments, significantly impacting quality of life. Recent advances in neurotechnologies, particularly extended reality (XR), present opportunities for novel therapeutic approaches targeting FND. OBJECTIVE This study aimed to assess the usability of an XR neurotechnology platform designed for biofeedback training in functional limb weakness, integrating haptic and visual feedback to support motor control and rehabilitation for FND patients. METHODS A mixed-methods approach was employed, a hands-on co-design workshop with three FND patient representatives with lived experience and three healthcare professionals from the UK’s Royal Preston Hospital. Participants engaged in usability testing across three XR training tasks: VR relaxation, XR position feedback control, and XR force feedback control. System Usability Scale (SUS) scores were collected, and qualitative written feedback data was analyzed using NVivo to identify user needs and areas for platform improvement. RESULTS High usability scores were observed for the XR position feedback control and VR relaxation training tasks, with most participants rating them above 85, reflecting excellent usability and satisfaction. However, the XR force feedback task revealed variability in scores, particularly in participant with conditions such as functional dystonia, indicating the need for task personalization. Qualitative analysis highlighted themes of customization, comfort, accessibility, and XR technological quality as critical factors for enhancing user experience. CONCLUSIONS This study demonstrated the potential of XR neurotechnology for FND rehabilitation, with high usability for XR position feedback control and VR relaxation training tasks. However, the XR force feedback task showed mixed usability, suggesting that a “one-size-fits-all” approach may not be suitable for all FND conditions. Enhancements in comfort, personalization, and accessibility are essential for optimizing user satisfaction. Future research should explore task-specific customizations to better accommodate individual needs in FND rehabilitation. CLINICALTRIAL N/A
BACKGROUND Functional Neurological Disorder (FND), including Functional Movement Disorders (FMD), arises from disruptions in the perception-action cycle, where maladaptive cognitive learning processes reduce agency and motor control. FND significantly impacts quality of life, with patients often experiencing physical disability and psychological distress. Extended reality (XR) technologies present a novel therapeutic opportunity by leveraging biofeedback training to target sensory attenuation and amplification mechanisms, aiming to restore motor function and agency. OBJECTIVE Current study proposes to co-produce and evaluate the usability of an XR technology platform for FND rehabilitation, focusing on functional limb weakness. The platform integrates biofeedback training with haptic and visual feedback to support motor relearning and control. METHODS An Experience-Based Co-Design (EBCD) framework is proposed to engage FND patients, caregivers, and healthcare professionals in collaboratively designing the XR platform. Stakeholders share their experiences through narrative interviews and co-design workshops, which can identify emotional touchpoints and prioritized patient-centered needs. Insights will be synthesized using qualitative analysis and guided the development of system requirements through Quality Function Deployment (QFD), ensuring the platform aligned with user needs. Three XR training tasks—VR relaxation, XR position feedback, and XR force feedback—will be iteratively refined through 4-week Agile sprints. Usability will be assessed using the System Usability Scale (SUS) and qualitative feedback, with themes analyzed in NVivo to identify areas for platform improvement. RESULTS High usability scores (above 85) were recorded for the VR relaxation and XR position feedback tasks in pre-design phase, reflecting excellent usability and participant satisfaction. However, the XR force feedback task exhibited variability, particularly among participants with functional dystonia, underscoring the need for task-specific personalization. Key themes included customization, comfort, accessibility, and XR technological quality, ensuring the platform effectively addressed diverse patient needs. Pre-design study also highlighted the potential of XR technology for FMD rehabilitation by integrating biofeedback training into a patient-centered design framework. The EBCD and QFD approaches can facilitate co-production, ensuring that usability and accessibility challenges were systematically addressed. While high usability was achieved for most tasks in pre-design phase, the variability in force feedback usability emphasizes the importance of tailored interventions to accommodate individual needs. Current study will leverage dynamic functional connectivity within key brain regions for personalization and integrating the XR platform into the FND stepped care framework for scalable and sustainable rehabilitation. CONCLUSIONS Through co-production and iterative refinement, the current study proposes to demonstrate the promise of XR technology as a scalable at-home solution for FMD rehabilitation. Personalization and accessibility remain critical for optimizing usability and clinical outcomes, paving the way for at-home implementation within the FND stepped care model. CLINICALTRIAL N/A
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