Publications by authors named "John K Werner"

Article Synopsis
  • MRI is a key tool in researching diagnostic and prognostic markers after traumatic brain injury (TBI), particularly to understand mild TBI (mTBI), but findings are often inconsistent, highlighting the need for further study.
  • The study analyzed MRI data from 976 military veterans and service members to explore the links between imaging outcomes and clinical features of mTBI, using regression models to account for factors like age and sex.
  • Results indicated that while no major differences were found between those with and without mTBI history, blast-related mTBI showed significant brain volume reductions in certain areas, and multiple mTBIs correlated with specific MRI findings.
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Traumatic brain injury (TBI) in military populations can cause disruptions in brain structure and function, along with cognitive and psychological dysfunction. Diffusion magnetic resonance imaging (dMRI) can detect alterations in white matter (WM) microstructure, but few studies have examined brain asymmetry. Examining asymmetry in large samples may increase sensitivity to detect heterogeneous areas of WM alteration in mild TBI.

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Traumatic Brain Injury (TBI) is associated with both diffuse axonal injury (DAI) and diffuse vascular injury (DVI), which result from inertial shearing forces. These terms are often used interchangeably, but the spatial relationships between DAI and DVI have not been carefully studied. Multimodal magnetic resonance imaging (MRI) can help distinguish these injury mechanisms: diffusion tensor imaging (DTI) provides information about axonal integrity, while arterial spin labeling (ASL) can be used to measure cerebral blood flow (CBF), and the reactivity of the Blood Oxygen Level Dependent (BOLD) signal to a hypercapnia challenge reflects cerebrovascular reactivity (CVR).

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Our team has been a pioneer in harvesting extracellular vesicles (EVs) enriched for neuronal origin from peripheral blood and using them as a biomarker discovery platform for neurological disorders. This methodology has demonstrated excellent diagnostic and predictive performance for Alzheimer's and other neurodegenerative diseases in multiple studies, providing a strong proof of concept for this approach. Here, we describe our methodology in detail and offer further evidence that isolated EVs are enriched for neuronal origin.

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