Keywords: Alzheimer's Disease, Analysis/Processing, Glymphatic system, CSF
Motivation: The glymphatic system is crucial in clearing brain waste, and dysfunction has been linked to neurodegenerative diseases. Understanding this system is essential for advancing our knowledge of brain health.
Goal(s): We aim to develop a non-invasive method to assess glymphatic activity in the human brain.
Approach: We utilized a quantitative CSF measurement technique with a two-pool model and multi-echo GRASE images.
Results: Significant variations in glymphatic activity were observed across different brain regions and were found to be influenced by sleep.
Impact: Our method can potentially reveal variations in sleep-influenced glymphatic activity, allowing early diagnosis of Alzheimer's disease.
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