MEGIN Masterclass

Using MEG to study healthy and unhealthy ageing

Presented by Rik Henson.

Abstract: 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.”

*The MEGIN Masterclasses content and speakers selected are only for information purposes and MEGIN does not endorse any applications or treatments mentioned.

**TRIUX™ neo is intended to non-invasively record brain activity, and when interpreted by trained physicians, to help localize these active areas. All other applications are scientific research in nature. Please contact MEGIN for further information.