Using MEG to study healthy and unhealthy ageing
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This Masterclass presented by Rik Henson will discuss, "the Cambridge Centre for Ageing and Neuroscience’s CamCAN dataset. This is one of the largest open-access datasets, which includes MEG data collected on nearly 700 adults ranging from 18-88 years. We will discuss a study of how age-related slowing of task-related evoked responses in sensory cortices is mediated by changes in both grey-matter and white-matter, and how resting-state MEG reveals age-related changes in brief microstates (lasting a few hundred milliseconds) that relate to cognition. The session will also cover the BioFIND dataset of resting-state MEG data on 324 people, and how MEG offers complimentary information beyond MRI in distinguishing healthy ageing from Mild Cognitive Impairment (MCI), a prodromal state of Alzheimer’s Disease."
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