A Flexible Multimodal Framework for Ecologically Valid Pain Research and Closed-Loop Clinical Translation

Pain is a uniquely complex, subjective, and multidimensional human experience, continuously shaped by bodily state, environmental context, expectation, and action. Studying pain in a clinically meaningful way therefore demands experimental paradigms that are ecologically valid, multisensory, and capable of interactive, closed-loop control. When neuroscience research systems are tightly coupled to a fixed set of input/output signal modalities, this constrains the richness of behaviors that can be probed and the speed at which new paradigms can be assembled. To address this, we developed a flexible research and clinical platform built around a loosely coupled event-driven backbone. The framework integrates virtual reality (VR) to deliver immersive, context-rich environments, captures multimodal real-time data from wearable and implanted sensors, and delivers adaptive feedback such as cutaneous thermal or electrical stimulation and programmable neuromodulation. Drawing on several completed and ongoing pain studies, we demonstrate the platform's versatility and share the tools developed for its implementation. By supporting reuse when assembling ecologically valid, multi-sensory pain paradigms, the platform provides a practical route toward personalized, closed-loop pain therapies in clinical settings.