Evaluating Frontoparietal Network Topography for Diagnostic Markers of Alzheimer’s Disease

This study leverages EEG and event-related potentials (ERPs) alongside cross-modal memory tests to identify reliable biomarkers for Alzheimer’s. By examining the frontoparietal network and N4/P6 components, these findings could help validate and enhance the accuracy of dementia assessment tests.
Go to the profile of Bayard Rogers
Bayard Rogers
Researcher, University College London
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Are there reliable biomarkers that can help detect early stages of Alzheimer’s Disease? My latest study, published with Springer Nature, investigates the potential of the frontoparietal network (FPN) and event-related potentials (ERPs) as diagnostic tools for Alzheimer's. Discover how these findings on N4/P6 ERP components could pave the way for more accurate, non-invasive diagnostic markers! 🧠✨

Read more to explore how EEG technology might shape the future of Alzheimer’s research.

https://www.nature.com/articles/s41598-024-64699-w

Go to the profile of Bayard Rogers
Bayard Rogers (He/Him)
Researcher, University College London

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Follow the Topic

Cognitive Neuroscience
Life Sciences > Biological Sciences > Neuroscience > Cognitive Neuroscience
Alzheimer's disease
Life Sciences > Health Sciences > Clinical Medicine > Neurology > Neurological Disorders > Neurodegenerative diseases > Alzheimer's disease
Brain Mapping
Life Sciences > Biological Sciences > Neuroscience > Neurophysiology > Brain Mapping
Electroencephalography
Life Sciences > Biological Sciences > Physiology > Neurophysiology > Electrophysiology > Electroencephalography

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