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Application 04

Clinical Neurophysiology

Optimized nerve conduction studies.

Nerve conduction studies are central to the diagnosis of peripheral neuropathy, and a diagnosis is only as good as the data behind it. A response that is low because of a technical factor can look the same as one that is low because of disease.

Our goal is to rule out technical factors and provide quality clinical data for a quality diagnosis.

Below, a conventional sural nerve conduction study and an optimized one.

Conventional

Conventional nerve conduction study

In a conventional sural sensory study, the examiner holds a bipolar stimulator over the sural nerve on the distal lateral leg and records the sensory nerve action potential (SNAP) with electrodes near the lateral malleolus. These studies are prone to technical errors:

  • Stimulator position. If the stimulator is not directly over the nerve, less current reaches it and the response is falsely low. Turning up the intensity adds discomfort but may not restore the full response.
  • Stimulator orientation. A slight rotation that turns the cathode away from the nerve shifts the electrical field off the nerve, giving a falsely low amplitude that can be misread as pathology.
  • Recording placement. Recording electrodes that sit off the nerve record a smaller response.

These common technical challenges can produce suboptimal or erroneous responses. In one study of 240 patients referred for polyneuropathy, 17 had a low or asymmetric sural response; in all 17, a normal response was obtained by changing the electrode placement.1

Manual results depend on the examiner’s technique, and even in skilled hands the study remains technically challenging because anatomy varies. The sural nerve and other small-caliber nerves with variable courses can be difficult to acquire and interpret.

Optimized

Optimized nerve conduction study

Evoked potential optimization applied to nerve conduction. Grid arrays cover a larger surface area at both the stimulation and recording sites, and the automated system systematically homes in on the nerve, confirming that each response is real.

As stimulus intensity rises, the system watches the amplitude climb and stops stimulating once the maximal response is reached, avoiding the uncomfortable overstimulation that can limit data acquisition. The recording array spans a wider area of skin, so it captures the sural nerve despite anatomical variability.

Once the optimized response is acquired at the lowest effective intensity, the arrays reverse roles: the recording array stimulates and the stimulating array records. Matching antidromic and orthodromic responses provide double-redundant data that rule out technical factors, so a low amplitude is more likely to reflect true pathology.

Automated acquisition makes nerve conduction data more consistent, accurate and clinically useful. Manual results vary between examiners, most often in response amplitudes,2 and investigators have called for greater standardization of nerve conduction methods.3

Challenging nerves

Lateral femoral cutaneous nerve

The lateral femoral cutaneous nerve is a small, purely sensory nerve that leaves the pelvis near the anterior superior iliac spine (ASIS), passing under or through the inguinal ligament. Its course varies from person to person: it may exit medial to the ASIS, directly over it or lateral to it, and may divide into several branches. Compression of the nerve causes meralgia paresthetica, with numbness and burning pain over the outer thigh.

Conventional nerve conduction studies of the lateral femoral cutaneous nerve have proven unreliable. Even in healthy patients, locating the nerve and acquiring usable data is technically challenging, so meralgia paresthetica remains a clinical diagnosis rather than an electrodiagnostic one.

Optimized systems cover a larger surface area and scan it systematically, which may make it possible to locate the nerve and isolate viable conduction data where manual methods cannot. The same approach applies to other small-caliber, purely sensory nerves with variable courses, where it could provide clinically useful information that was not available before.

1. Tankisi H, Pugdahl K, Otto M, Fuglsang-Frederiksen A. Misinterpretation of sural nerve conduction studies due to anatomical variation. Clin Neurophysiol. 2014;125(10):2115–21.

2. Chaudhry V, Corse AM, Freimer ML, et al. Inter- and intraexaminer reliability of nerve conduction measurements in patients with diabetic neuropathy. Neurology. 1994;44(8):1459–62.

3. Dyck PJ, Albers JW, Wolfe J, et al. A trial of proficiency of nerve conduction: greater standardization still needed. Muscle Nerve. 2013;48(3):369–74.