Searching for the Metaverse: Neuroscience of Physical and Digital Communities

Virtual Social Interaction in a Multiplayer-Online Video Game Increases Implicit Learning: An EEG Study

It is well known that social interaction enhances learning processes, improving abilities such as attention and memorization. However, it is not clear whether similar advantages may be obtained even in virtual environments. Here, we investigate whether virtual interactions in a video game, similarly to real-life social interactions, may improve individuals' performance in a subsequent implicit learning task. Twenty-one healthy participants were asked to play a cooperative video game for 20 minutes in three different gaming modalities: alone (Single-Player); together with someone without verbal interactions (Multi-Player -); and with someone with verbal interactions (Multi-Player +). After each gaming session, participants were presented with an EEG paradigm directed to measure mismatch negativity (MMN) responses, a well-validated index of implicit learning. MMN responses were significantly larger following Multi-Player +, as compared with Single-Player, and Multi-Player - conditions. No significant difference was found between Single-Player, and Multi-Player - conditions. These results indicate that implicit learning processes are enhanced following communicative virtual interactions. Verbal interaction in a virtual environment seems necessary to elicit social copresence and its positive effects on learning performances. This finding may have important implications for the design of virtual rehabilitation protocols and distance learning programs.

Can health information acquisition on mobile app influence psychological and physical well-being? Examining mediating role of bonding and bridging capital

Mobile application (app), with its expansive reservoir of data and content, harbors considerable promise in advancing health outcomes at both the individual and population levels. Nevertheless, there is a paucity of scholars that concretely examine the dynamics of health information acquisition within mobile app. This research presents a conceptual model aimed at investigating the potential ramifications of health information acquisition on both individuals' psychological and physical well-being. Concurrently, this research attempts to illuminate the underlying mechanisms behind these correlations through evaluating the mediating role of bonding and bridging social capital. The obtained results of a web-based survey conducted among 656 college students in mainland China suggest a positive association between health information acquisition and bonding and bridging social capital. Moreover, the study reveals that the impact of health information acquisition via mobile applications on psychological and physical well-being is significantly mediated by college students' bonding and bridging social capital. The cultivation of bonding social capital could exert a direct and positive influence on college students' physical well-being. However, there appears to be no discernible correlation between bridging social capital and physical well-being. Taken collectively, these findings not only complement extant theoretical perspectives within the scholarship concerning mobile app usage for health improvement, but also furnish several pragmatic guidelines for healthcare professionals and mobile app designers.

Metaverse in Mental Health: The Beginning of a Long History

PURPOSE OF REVIEW

We review the first pilot studies applying metaverse-related technologies in psychiatric patients and discuss the rationale for using this complex federation of technologies to treat mental diseases. Concerning previous virtual-reality applications in medical care, metaverse technologies provide the unique opportunity to define, control, and shape virtual scenarios shared by multi-users to exploit the "synchronized brains" potential exacerbated by social interactions.

RECENT FINDINGS

The application of an avatar-based sexual therapy program conducted on a metaverse platform has been demonstrated to be more effective concerning traditional sexual coaching for treating female orgasm disorders. Again, a metaverse-based social skills training program has been tested on children with autism spectrum disorders, demonstrating a significant impact on social interaction abilities. Metaverse-related technologies could enable us to develop new reliable approaches for treating diseases where behavioral symptoms can be addressed using socio-attentive tasks and social-interaction strategies.

Toward a Humane Metaverse: Challenges and Opportunities

The metaverse, an emerging digital universe blurring the lines between reality and virtuality, offers a view into a future where human interaction transcends physical boundaries. In this article, we analyze the multidimensional facets of the metaverse, scrutinizing the landscape of challenges and opportunities it offers. The article delves into the challenges faced by human society in adapting to the metaverse, including the digital divide, ethical dilemmas, the level of trust, and the potential erosion of social and physical reality. Amid the allure of boundless creativity, questions arise about the very essence of human experience-identity, empathy, social relationships, life satisfaction, and the nature of reality itself. The metaverse, with all its complexities, challenges us to redefine the boundaries of human interaction, urging us to tread cautiously while embracing the limitless possibilities it presents. As we venture "toward a humane metaverse," we must navigate the intricate interplay of technology and humanity, shaping a future where the virtual realm enhances, rather than diminishes, the richness of the human experience.

New era of artificial intelligence and machine learning-based detection, diagnosis, and therapeutics in Parkinson's disease

Parkinson's disease (PD) is characterized by the loss of neuronal cells, which leads to synaptic dysfunction and cognitive defects. Despite the advancements in treatment strategies, the management of PD is still a challenging event. Early prediction and diagnosis of PD are of utmost importance for effective management of PD. In addition, the classification of patients with PD as compared to normal healthy individuals also imposes drawbacks in the early diagnosis of PD. To address these challenges, artificial intelligence (AI) and machine learning (ML) models have been implicated in the diagnosis, prediction, and treatment of PD. Recent times have also demonstrated the implication of AI and ML models in the classification of PD based on neuroimaging methods, speech recording, gait abnormalities, and others. Herein, we have briefly discussed the role of AI and ML in the diagnosis, treatment, and identification of novel biomarkers in the progression of PD. We have also highlighted the role of AI and ML in PD management through altered lipidomics and gut-brain axis. We briefly explain the role of early PD detection through AI and ML algorithms based on speech recordings, handwriting patterns, gait abnormalities, and neuroimaging techniques. Further, the review discuss the potential role of the metaverse, the Internet of Things, and electronic health records in the effective management of PD to improve the quality of life. Lastly, we also focused on the implementation of AI and ML-algorithms in neurosurgical process and drug discovery.