Abstract
Recently, mindfulness meditation has been linked to decreased risk in dementia. In addition, many middle-aged people engage in various brain training programmes to enhance their mental resilience. Both mindful attention and brain training programmes have produced EEG datasets that are available for data mining and discovery. This project aims (1) to apply deep learning techniques to new and existing datasets to understand the neural mechanisms underlying training outcome and (2) to conduct training studies that are focused on enhancing mental resilience. Training in deep EEG data analytics will be provided as part of rotation projects and during the PhD.
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