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Abstract #4810

Working Memory Prognostication After Concussion Using Glymphatic Biomarkers

Yi-Tien Li1,2 and Cheng-Yu Chen2
1Neuroscience Research Center, Taipei Medical University, Taipei, Taiwan, 2Translational Imaging Research Center, Taipei Medical University Hospital, Taipei, Taiwan

Synopsis

Keywords: Traumatic Brain Injury, Traumatic brain injury, concussion; glymphatic function; cerebral microbleeds; sleep disorder; cognitive impairment; machine learning

Motivation: Addressing persistent working-memory decline (PWMD) in concussion patients is crucial, but prognostic methods are limited. This study explores the potential of the glymphatic system as a novel biomarker.

Goal(s): Determine if early measurement of glymphatic dysfunction within 1 month post-concussion can predict PWMD.

Approach: A 1-year prospective observational study was conducted, assessing glymphatic function, microhemorrhage, sleep quality, and neurocognitive tests within 1-month of injury.

Results: Significant correlations were found between 1-year digit span scores and glymphatic diffusivity and sleep quality. Lower glymphatic function and poor sleep quality correlated with unfavorable long-term working memory outcomes. The 1-year digit span score could be reliably predicted.

Impact: This research highlights the importance of monitoring sleep quality and glymphatic function, offering potential therapeutic targets to prevent persistent working-memory decline in concussion patients.

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Keywords