About the Study
Principal Investigator: Michael Benatar, MD, PhD
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 Agencies
Collaborators
- Joanne Wuu, ScM
- Ruosha Li
- Limin Peng, PhD
Contact
Links
Publications
- Peng L, Wuu J, Benatar M. Developing reference data for nerve conduction studies: an application of quantile regression. Muscle & Nerve 2009 40(5); 763-771. [ PubMed Link ]
- Benatar M, Wuu J, Peng L. Reference data for commonly used sensory and motor nerve conduction studies. Muscle & Nerve 2009 40(5): 772-794. [ PubMed Link ]
Presentations and Lectures
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