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In the wake of the incessant evolution of virtual reality (VR) technology, its pervasive integration into an expanding array of sectors, notably the medical field, has become increasingly conspicuous. Amid these developments, post‐traumatic stress disorder (PTSD), a prevalent and debilitating mental health condition, has garnered heightened attention from the medical community. The contemporary therapeutic landscape predominantly revolves around psychological interventions, exemplified by exposure therapy and positive thinking therapy. However, a groundbreaking advancement, namely virtual reality exposure therapy (VRET), has emerged as a prominent achievement, effectively intertwining VR technology with medical applications, particularly in the nuanced treatment of PTSD. As the realms of human‐computer interaction and brain‐computer interface undergo continuous and dynamic expansion, electroencephalography (EEG) has surfaced as a pivotal convergence point across diverse disciplines. The confluence of VRET technology with EEG signals holds the promise of enhancing the precision and objectivity of patient diagnoses. Furthermore, leveraging EEG signals enables a more nuanced and individualized approach to treatment within the framework of VRET technology. Despite extant studies that offer comprehensive summaries of VRET technology, the integration with EEG signals has thus far been a relatively unexplored terrain. This research endeavors to direct attention toward recent advancements in VRET technology within the sphere of mental health treatment. A meticulous synthesis and exposition of existing techniques and applications are presented, providing a comprehensive overview of the current landscape. The exploration extends to the developmental trajectory and prospective implications arising from the amalgamation of VRET technology and EEG technology. Furthermore, a rigorous analysis of the tangible contributions and practical significance of EEG signals in the domain of mental health treatment is undertaken, underscoring the potential avenues for their future applications and the transformative impact on the trajectory of therapeutic interventions.
In the wake of the incessant evolution of virtual reality (VR) technology, its pervasive integration into an expanding array of sectors, notably the medical field, has become increasingly conspicuous. Amid these developments, post‐traumatic stress disorder (PTSD), a prevalent and debilitating mental health condition, has garnered heightened attention from the medical community. The contemporary therapeutic landscape predominantly revolves around psychological interventions, exemplified by exposure therapy and positive thinking therapy. However, a groundbreaking advancement, namely virtual reality exposure therapy (VRET), has emerged as a prominent achievement, effectively intertwining VR technology with medical applications, particularly in the nuanced treatment of PTSD. As the realms of human‐computer interaction and brain‐computer interface undergo continuous and dynamic expansion, electroencephalography (EEG) has surfaced as a pivotal convergence point across diverse disciplines. The confluence of VRET technology with EEG signals holds the promise of enhancing the precision and objectivity of patient diagnoses. Furthermore, leveraging EEG signals enables a more nuanced and individualized approach to treatment within the framework of VRET technology. Despite extant studies that offer comprehensive summaries of VRET technology, the integration with EEG signals has thus far been a relatively unexplored terrain. This research endeavors to direct attention toward recent advancements in VRET technology within the sphere of mental health treatment. A meticulous synthesis and exposition of existing techniques and applications are presented, providing a comprehensive overview of the current landscape. The exploration extends to the developmental trajectory and prospective implications arising from the amalgamation of VRET technology and EEG technology. Furthermore, a rigorous analysis of the tangible contributions and practical significance of EEG signals in the domain of mental health treatment is undertaken, underscoring the potential avenues for their future applications and the transformative impact on the trajectory of therapeutic interventions.
As per United Nations, the youth constitute 16% of total population globally whereas World Health Organization reported that one in every seven young individual suffers from depression. Among various tested therapeutic solutions for depression management, the efficacy of transcranial Direct Current Stimulation (tDCS) is still unexplored specifically in young participants. Therefore, this study aims to investigate the cross hemispheric tDCS intervention with a smaller number of sessions in youth population by means of neurological, neuropsychological, and behavioural measures. A total of 50 young participants were recruited comprising of 25 healthy and 25 depressed individuals. The participants of depressed group were randomly assigned to active tDCS and sham tDCS sub groups and completed 150 min of training over 5 consecutive days. The active tDCS group received stimulation of 2 mA over dorsolateral prefrontal cortex. Unlike healthy individuals, depressed participants demonstrated reduced difference of brain activity between eyes opened and closed resting conditions which gets restored following the intervention in active group. Additionally, the tDCS intervention effectively modified the previously reduced alpha asymmetry observed in depressed participants compared to healthy individuals. These neurological outcomes may also be supported with enhanced neuropsychological score of depression (t = 5.47, P < .01) in active group. The attention score (t = 5.14, P < .01) and reaction time (t = 2.22, P = .02) evaluated through behavioural measure of Stroop task were also significantly improved in active group post tDCS intervention. The reported outcomes of the study highlighted the ability of tDCS for prompt and efficient youth depression management.
This case-control study investigated the associations between peripheral inflammation, perceived fatigue, and event-related potentials (ERP) during a sustained attention test (SAT) in depression. Participants included 25 individuals with depressive episodes (DE) and 31 healthy controls (HC). A 15-minute SAT (subtest of the Test Battery for Attention, version 2.3.1) was administered with concurrent EEG recordings. Peripheral inflammation was assessed by measuring IL-6, IL-1β, and TNF-α cytokines. Linear mixed models and generalized linear models were utilized for data analysis. Our results showed that the DE group exhibited lower P300 amplitudes than HC (estimate = -0.98, CI95 [-1.60; -0.35], p = 0.004). Furthermore, P300 amplitudes were inversely associated with IL-6 (estimate = -1.73, CI95 [-3.27; -0.19], p = 0.03), regardless of group status. Surprisingly, higher perceived fatigue correlated with increased P300 amplitudes, irrespective of group status (estimate = 0.009, CI95 [0.0004; 0.02], p = 0.05). Finally, accuracy, measured as the total number of correct answers in the SAT, correlated negatively with TNF-α (OR = 0.44, CI95 [0.27; 0.70]). However, no significant effects were found for P300 latency or reaction time in the SAT when comparing DE and HC. The study highlights the potential role of peripheral inflammation on sustained attention in cognitive performance. Due to the low interaction effect, fatigue and P300 amplitude results must be interpreted cautiously. Although P300 amplitudes were lower in DE, no significant association was observed between DE and inflammation in ERP and cognitive performance. Further research is required to confirm these findings.
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