Topic: cognitive training

Computational modelling is a powerful, theoretically robust tool which allows scientists and clinicians to understand fine-grained changes in cognition from moment to moment. This offers a novel means to measure fluctuations in cognitive constructs relevant to mental health, enabling the design of theoretically precise interventions, a mechanistic understanding of existing interventions, and/or a means to enact cognitive training. However, barriers to entry are high: computational modelling is still a niche skill, and interpretation of model fitting estimates can be opaque without appropriate

The research on neurophysiological correlates of cognitive training transfer to untrained tasks has gained a significant momentum in recent years. Studies show that transfer occurs when trained and transfer tasks share the same processing components and brain topography. Since most studies adopt a pre-post-training design, changes occurring within the training process are poorly understood. Therefore, the aim of this study was to assess qEEG parameters during the resting state and at various training stages. A group of 20 adult participants completed the executive function training, comprised