Functional networks impairment along the process of AD: prediction value and resilience factors скачать в хорошем качестве

Functional networks impairment along the process of AD: prediction value and resilience factors

Fernando Maestú discusses a series of studies, which mainly used MEG to record the resting-state activity and a memory task in patients with Mild Cognitive Impairment (MCI), Subjective Cognitive Decline (SCD), and in healthy subjects at preclinical stage or at risk for developing dementia. All these findings together indicate that hyper synchronization of the brain networks could be an excellent non-invasive biomarker for tracking the disease and evaluate interventions. Agenda: 1. Brief introduction to the history of MEG in Alzheimer s Disease 2. Why MEG? 3. MEG clinical studies in early stages of AD (MCI and SCD) 4. MEG profiles of MCI converters versus non-converters 5. MEG profiles in combination with amyloid, tau and APOE4 6. Is there a chance for improving the brain network? Physical activity, cognitive training and diet as a potential non-pharmacological intervention 7. How these MEG profiles are in association of findings found in animal models and computational neuroscience studies. 8. Conclusions Fernando Maestú Bio: Full professor in experimental psychology, Complutense University of Madrid Director of the Laboratory of Cognitive and Computational Neuroscience in the Center of Biomedical Technology Staff Scientist at University of Texas Houston *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.