Analytical, Diagnostic and Therapeutic Techniques and Equipment Commons^™

Investigation Of The Safety Of Focused Ultrasound-Induced Blood-Brain Barrier Opening In A Natural Canine Model Of Aging, Meaghan Anne O'Reilly, Ryan Matthew Jones, Edward Barrett, Anthony P. Schwab, Elizabeth Head, Kullervo Hynynen

Sanders-Brown Center on Aging Faculty Publications

Rationale: Ultrasound-mediated opening of the Blood-Brain Barrier(BBB) has shown exciting potential for the treatment of Alzheimer's disease(AD). Studies in transgenic mouse models have shown that this approach can reduce plaque pathology and improve spatial memory. Before clinical translation can occur the safety of the method needs to be tested in a larger brain that allows lower frequencies be used to treat larger tissue volumes, simulating clinical situations. Here we investigate the safety of opening the BBB in half of the brain in a large aged animal model with naturally occurring amyloid deposits.

Methods: Aged dogs naturally accumulate plaques and show …

Cascaded Multi-View Canonical Correlation (Camcco) For Early Diagnosis Of Alzheimer's Disease Via Fusion Of Clinical, Imaging And Omic Features, Asha Singanamalli, Haibo Wang, Anant Madabhushi, Michael Weiner, Paul Aisen, Ronald Petersen, Clifford Jack, William Jagust, John Trojanowki, Arthur Toga, Laurel Beckett, Robert Green, Andrew Saykin, John Morris, Leslie Shaw, Jeffrey Kaye, Joseph Quinn, Lisa Silbert, Betty Lind, Raina Carter, Sara Dolen, Lon Schneider, Sonia Pawluczyk, Mauricio Beccera, Liberty Teodoro, Bryan Spann, James Brewer, Helen Vanderswag, Adam Fleisher, Judith Heidebrink, Charles Smith, Greg A. Jicha, Peter A. Hardy, Partha Sinha, Elizabeth Oates, Gary Conrad

Neurology Faculty Publications

The introduction of mild cognitive impairment (MCI) as a diagnostic category adds to the challenges of diagnosing Alzheimer's Disease (AD). No single marker has been proven to accurately categorize patients into their respective diagnostic groups. Thus, previous studies have attempted to develop fused predictors of AD and MCI. These studies have two main limitations. Most do not simultaneously consider all diagnostic categories and provide suboptimal fused representations using the same set of modalities for prediction of all classes. In this work, we present a combined framework, cascaded multiview canonical correlation (CaMCCo), for fusion and cascaded classification that incorporates all diagnostic …

Evaluation Of Circulating Mirnas During Late Pregnancy In The Mare, Shavahn C. Loux, Kirsten E. Scoggin, Jason E. Bruemmer, Igor F. Canisso, Mats H. T. Troedsson, Edward L. Squires, Barry A. Ball

Veterinary Science Faculty Publications

MicroRNAs (miRNAs) are small, non-coding RNAs which are produced throughout the body. Individual tissues tend to have a specific expression profile and excrete many of these miRNAs into circulation. These circulating miRNAs may be diagnostically valuable biomarkers for assessing the presence of disease while minimizing invasive testing. In women, numerous circulating miRNAs have been identified which change significantly during pregnancy-related complications (e.g. chorioamnionitis, eclampsia, recurrent pregnancy loss); however, no prior work has been done in this area in the horse. To identify pregnancy-specific miRNAs, we collected serial whole blood samples in pregnant mares at 8, 9, 10 m of gestation …

Venoarterial Extracorporeal Membrane Oxygenation For Cardiogenic Shock: A Retrospective Analysis Based On The Etiology Of Shock, Andrew Burchett, Thomas Tribble, Richard Charnigo, Susan Smyth, Maya Guglin

The VAD Journal

Abstract:

Background: We performed a retrospective analysis to evaluate the efficacy of VA-ECMO support in cardiogenic shock based on various etiologies.

Methods: We retrospectively analyzed 99 patients supported with VA-ECMO from January 1, 2012 to January 1, 2015. Outcomes included survival to discontinuation of VA-ECMO support and survival to hospital discharge. The etiologies of cardiogenic shock included cardiac arrest (CPR), acute myocardial infarction (AMI), decompensated congestive heart failure (CHF), pulmonary embolism (PE), right ventricular failure (RVF) not secondary to an acute pulmonary embolism, and post-cardiotomy syndrome (PCS). The PCS group was used as a reference group; odds ratios were estimated …

Longitudinal Measurement And Hierarchical Classification Framework For The Prediction Of Alzheimer's Disease, Meiyan Huang, Wei Yang, Qianjin Feng, Wufan Chen, Michael Weiner, Paul Aisen, Ronald Petersen, Clifford R. Jack Jr., William Jagust, John Trojanowki, Arthur W. Toga, Laurel Beckett, Robert C. Green, Andrew Saykin, John Morris, Leslie M. Shaw, Jeffrey Kaye, Joseph Quinn, Lisa Silbert, Betty Lind, Raina Carter, Sara Dolen, Lon S. Schneider, Sonia Pawluczyk, Mauricio Beccera, Liberty Teodoro, Bryan Spann, James Brewer, Helen Vanderswag, Adam Fleisher, Charles D. Smith, Greg A. Jicha, Peter A. Hardy, Partha Sinha, Elizabeth Oates, Gary Conrad

Neurology Faculty Publications

Accurate prediction of Alzheimer’s disease (AD) is important for the early diagnosis and treatment of this condition. Mild cognitive impairment (MCI) is an early stage of AD. Therefore, patients with MCI who are at high risk of fully developing AD should be identified to accurately predict AD. However, the relationship between brain images and AD is difficult to construct because of the complex characteristics of neuroimaging data. To address this problem, we present a longitudinal measurement of MCI brain images and a hierarchical classification method for AD prediction. Longitudinal images obtained from individuals with MCI were investigated to acquire important …