Accedi

The University of Michigan Health System

3 ARTICLES PUBLISHED IN JoVE

Medicine

Direct Mouse Trauma/Burn Model of Heterotopic Ossification

Jonathan R. Peterson¹, Shailesh Agarwal¹, R. Cameron Brownley¹, Shawn J. Loder¹, Kavitha Ranganathan¹, Paul S. Cederna¹, Yuji Mishina², Stewart C. Wang¹, Benjamin Levi¹

¹Department of Surgery, University of Michigan Medical School, ²Department of Biologic and Materials Sciences, University of Michigan School of Dentistry

An Achilles tenotomy and burn injury model of heterotopic ossification allows for the reliable study of trauma induced ectopic bone formation without the application of exogenous factors.

Bioengineering

Fabrication of the Composite Regenerative Peripheral Nerve Interface (C-RPNI) in the Adult Rat

Shelby R. Svientek¹, Dan C. Ursu¹, Paul S. Cederna^1,2, Stephen W. P. Kemp^1,2

¹Department of Surgery, Division of Plastic Surgery, University of Michigan, Ann Arbor, ²Department of Biomedical Engineering, University of Michigan, Ann Arbor

The following manuscript describes a novel method for developing a biologic, closed loop neural feedback system termed the composite regenerative peripheral nerve interface (C-RPNI). This construct has the ability to integrate with peripheral nerves to amplify efferent motor signals while simultaneously providing afferent sensory feedback.

Bioengineering

The Muscle Cuff Regenerative Peripheral Nerve Interface for the Amplification of Intact Peripheral Nerve Signals

Shelby R. Svientek¹, Justin P. Wisely¹, Amir Dehdashtian¹, Jarred V. Bratley¹, Paul S. Cederna^1,2, Stephen W. P. Kemp^1,2

¹Department of Surgery, Section of Plastic Surgery, The University of Michigan Health System, ²Department of Biomedical Engineering, The University of Michigan, Ann Arbor

This manuscript provides an innovative method for developing a biologic peripheral nerve interface termed the Muscle Cuff Regenerative Peripheral Nerve Interface (MC-RPNI). This surgical construct can amplify its associated peripheral nerve's motor efferent signals to facilitate accurate detection of motor intent and the potential control of exoskeleton devices.