Accumulating evidence suggests that activity in distributed networks supporting ABM is altered even decades before the expected onset of clinical symptoms in Alzheimer's disease (AD). Robust network alterations associated with age-related memory and cognitive decline have been linked to abnormal oscillatory brain rhythmic activity and functional dysconnectivity. However, the detailed neural mechanisms are still poorly understood. The investigators propose to precisely characterize the underlying neurophysiological mechanisms that lead to behavioral and cognitive disturbances in ABM of MCI patients. Specifically, hdEEG will be used to characterize the sources and spatiotemporal dynamics of the neuronal activity involved in the ABM network of 40 mild cognitive impairment (MCI) patients and compare it to 40 age-matched, older healthy participants and 40 healthy young participants. The investigators will then apply non-invasive brain stimulation in the form of transcranial alternating current stimulation (tACS) to gain novel insights into the causal role of brain oscillations in the ABM network of MCI patients.
The overall objective of this project is to characterize the spatiotemporal dynamics of brain oscillations underpinning autobiographical memory (ABM) and the modulation of the memory network using non-invasive brain stimulation.