Enhancing EEG-Based MI-BCIs with Class-Specific and Subject-Specific Features Detected by Neural Manifold Analysis.

This paper presents an innovative approach leveraging Neuronal Manifold Analysis of EEG data to identify specific time intervals for feature extraction, effectively capturing both class-specific and subject-specific characteristics. Different pipelines were constructed and employed to extract distinctive features within these intervals, specifically for motor imagery (MI) tasks. The methodology was validated using the Graz Competition IV datasets 2A (four-class) and 2B (two-class) motor imagery classification, demonstrating an improvement in classification accuracy that surpasses state-of-the-art algorithms designed for MI tasks. A multi-dimensional feature space, constructed using NMA, was built to detect intervals that capture these critical characteristics, which led to significantly enhanced classification accuracy, especially for individuals with initially poor classification performance. These findings highlight the robustness of this method and its potential to improve classification performance in EEG-based MI-BCI systems.

IAmHero: Preliminary Findings of an Experimental Study to Evaluate the Statistical Significance of an Intervention for ADHD Conducted through the Use of Serious Games in Virtual Reality.

The use of new technologies, such as virtual reality (VR), represents a promising strategy in the rehabilitation of subjects with attention-deficit/hyperactivity disorder (ADHD). We present the results obtained by administering the IAmHero tool through VR to a cohort of subjects with ADHD between 5 and 12 years of age. The trial time was approximately 6 months. In order to assess the beneficial effects of the treatment, standardised tests assessing both ADHD symptoms and executive functions (e.g., Conners-3 scales) were administered both before and at the end of the sessions. Improvements were observed at the end of treatment in both ADHD symptoms (especially in the hyperactivity/impulsivity domain) and executive functions. One of the strengths of the VR approach is related above all to the acceptability of this tool and its flexibility. Unfortunately, to date, there are still few studies on this topic; therefore, future studies are essential to expand our knowledge on the utility and benefits of these technologies in the rehabilitation field.