Introduction: EEG based passive brain computer interfaces (pBCIs) estimate the subjects’ mental states in real time, using appropriate biomarkers extracted from the EEG signals (Zander & Kothe, 2011). In particular, pBCIs, when present in a neurofeedback loop, make it possible to apply neurophysiological regulation to foster neural compensation mechanisms by teaching subjects to self-modulate their brain activity, thus promoting neuroplasticity (Duffau, 2006) and therefore cognitive reserve. However, despite evidence of neuroplasticity even at early stages of dementia (Hill et al., 2011), strategies to facilitate neuroplasticity are limited. The specific goal of the present project is to promote the neuroplasticity of elderly people with subjective memory complaints (SMC), through neurofeedback training. Importantly, although the subjective memory decline lies within the normal limits of cognitive ageing, the literature shows that SMC may precede cognitive impairment or dementia.