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Advanced Behavioral Assessment Techniques in Rodent Models of Spinal Cord Injury and Traumatic Brain Injury
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Gunnar H.D. Poplawski

Gunnar H.D. Poplawski

Lerner Research Institute at the Cleveland Clinic

Dr. Gunnar Poplawski is a leading researcher in neurodegenerative disorders at the Lerner Research Institute (LRI) of the Cleveland Clinic. His work focuses on developing regenerative strategies and discovering biomarkers for central nervous system (CNS) injuries and neurodegenerative conditions, such as Alzheimer’s disease and neurotrauma, including spinal cord injuries. His goal is to create effective therapies and develop diagnostic assays to evaluate the severity of these disorders. Before joining the Cleveland Clinic, Dr. Poplawski completed fellowships at Duke-NUS Medical School and the National University of Singapore (NUS). He earned his PhD from the University of California Department of Biology. He pursued a postdoctoral fellowship at the University of California, San Diego (UCSD), under Professor Mark Tuszynski, MD, PhD, at the Center for Neural Repair. Dr. Poplawski's research has been published in prominent journals, including Nature, Science Translational Medicine, and Neuron. 

Collection Overview

Behavioral assessments in rodent models provide crucial data on neurological functions affected by spinal cord injury (SCI) and traumatic brain injury (TBI), such as motor function, sensory perception, and cognitive abilities. These assessments are essential for understanding the efficacy of therapeutic interventions and the natural progression of neurological conditions. However, variability in methodology and the sensitivity of outcome measures can significantly impact the reproducibility and interpretation of results across studies. 

The proposed Methods Collection aims to compile and highlight innovative and reliable behavioral assessment techniques in rodent models of SCI and TBI. We invite contributions that describe novel methodologies or refine existing protocols for behavioral assessments in SCI and TBI models. Submissions should provide a detailed account of the method's development, application, advantages over traditional techniques, and any validation data demonstrating reliability and efficacy. We are particularly interested in methods incorporating novel technologies, such as automated tracking systems, advanced imaging techniques, and integrative data analysis tools. 

Through this collection, we aim to foster a deeper understanding of the neurological impairments associated with SCI and TBI. Our goal is to provide a comprehensive resource that not only compiles innovative and reliable behavioral assessment techniques but also facilitates their adoption and application, ultimately leading to the development of more effective therapeutic strategies. 

Articles

A Pediatric Concussion Model in Mice: Closed Head Injury with Long-Term Disorders (CHILD)
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A Pediatric Concussion Model in Mice: Closed Head Injury with Long-Term Disorders (CHILD)

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Cited by 2

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2025

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