Remote, self-managed neuroempowerment protocols are emerging as promising tools for promoting psychophysical well-being in healthy individuals through scalable, home-based interventions. Rooted in positive psychology, applied psychophysiology, and embodied awareness practices, these protocols increasingly leverage wearable technologies and digital platforms to support self-regulated training in cognitive, emotional, and physical domains. This scoping review explores the current literature on such interventions, guided by a triadic model of subjective well-being encompassing neurocognitive efficiency, psychological balance, and physical fitness. A systematic search across major scientific databases identified 28 studies meeting inclusion criteria, with a focus on home-based interventions targeting healthy adult populations using embodied awareness practices, applied psychophysiology techniques, and empowerment-based strategies. Findings indicate that these interventions yield improvements in attention regulation, stress reduction, and subjective well-being, particularly when combining digital feedback systems with embodied practices. However, significant methodological limitations persist, including the overreliance on self-report measures, lack of longitudinal follow-up, and insufficient integration of objective, multimodal assessment tools. Moreover, few studies explicitly address the role of participant engagement and agency—key elements in neuroempowerment frameworks that conceptualize the individual not as a passive recipient of treatment, but as an active agent in the training process. This review highlights the need for more rigorous and theoretically grounded research, advocating for integrative, adaptive intervention models supported by wearable neurotechnologies. Such approaches hold the potential to enhance motivation, personalize feedback, and promote sustainable well-being in ecologically valid, participant-centred ways.

Background/Objectives: Goal-directed praxis actions (GOPAs) integrate perception, motor planning, and executive control. While neural correlates of single actions are known, less is understood about how complexity conditions and their hierarchical organization into elementary tasks shape neural dynamics during ecologically manual assembly tasks. This study tested how electrophysiological (EEG) activity reflects global complexity and selective engagement of executive and sensorimotor systems across GOPAs. Methods: 38 healthy young adults completed two assembly conditions differing in complexity (basic and advanced) decomposed into four elementary tasks: identification, handling, alignment, and joining. EEG was recorded across five frequency bands (delta, theta, alpha, beta, and gamma) and four regions of interest (ROI): frontal, fronto-central, temporo-central, and parieto-occipital. Results: Neural activity varied significantly depending on different complexity, elementary task, and ROI. The advanced-complexity condition elicited stronger neural responses compared to the basic-complexity condition, reflecting greater cognitive, and sensorimotor demands. A task-related gradient emerged, with joining showing the highest activity, followed by alignment, while identification and handling showed lower activation. Frontal regions, particularly in theta activity, were more involved under higher complexity, suggesting increased executive control. In contrast, beta and gamma activity predominated in temporo-central and parieto-occipital regions, supporting visuomotor and sensorimotor integration. Conclusions: EEG oscillatory dynamics during ecological GOPAs are selectively modulated by complexity condition and hierarchical task organization. Neural activity tracks functional demands of specific action phases rather than general arousal, highlighting dynamic coordination between executive and sensorimotor systems during complex manual behavior.