Principal investigator

Michael Benatar, MD, PhD

Site-PI

Summary

The interpretation of nerve conduction study data requires an appreciation of the range of values that might be encountered in a normal healthy population. In this study, commonly used nerve conduction studies were performed in a large group of healthy volunteers. The data were analyzed using a technique known as quantile regression to develop reference data (sometimes called normative data) for the nerve conduction studies commonly used in routine clinical practice.

Eligibility criteria

• No sensory (numbness, tingling, neuropathic pain) or motor (weakness) symptoms in the arms or legs
• No history of alcohol consumption (> 2 alcoholic beverages per day over a period of > 4 weeks)
• No history of exposure to neurotoxic drugs
• No history of diabetes, impaired glucose tolerance, untreated thyroid, kidney or liver disease
• No family history of neuropathy
• Normal neurological examination

Funding agency

Emory University Research Committee

Collaborators

Joanne Wuu, ScM
Ruosha Li
Limin Peng, PhD

Contact information

Email: mbenatar@med.miami.edu

Links

Developing reference data for nerve conduction studies: an application of quantile regression

Reference data for commonly used sensory and motor nerve conduction studies.

Presentations / Publications

• Limin Peng, Joanne Wuu, Michael Benatar. Developing reference data for nerve conduction studies: an application of quantile regression. Muscle & Nerve 2009 40(5); 763-771
• Michael Benatar, Joanne Wuu, Limin Peng. Reference data for commonly used sensory and motor nerve conduction studies. Muscle & Nerve 2009 40(5): 772-794