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Previous observations suggest that elevated high-pass filter settings (1,600-3,200 HZ) can reveal greater motor unit action potential (MUAP) complexity (turns). We assessed the effect of high-pass filter settings (500, 1,000, 2,000 HZ) on MUAP metrics. MUAPs were recorded with a concentric needle and initially extracted by a decomposition software algorithm at 10 HZ-10 kHZ and further filtered offline at 500, 1,000, and 2,000 HZ. When reanalyzed by the decomposition software there were marked reductions in peak-peak amplitude, area, area-to-amplitude ratio, and duration at the 500 HZ filter with lesser subsequent reductions at higher filter settings. In contrast, turn and phase counts did not change significantly. Individual MUAPs tracked across filter settings showed rare increases in turn count at the 500 HZ setting but a subsequent decrease in counts with higher filter settings. We conclude that the routine use of elevated high-pass filters, as in quantitative EMG analysis, does not enhance turn count.

Motor unit number estimation (MUNE) is a unique electrophysiologic test used to estimate the number of surviving motor units in a muscle or group of muscles. It is used most frequently to monitor lower motor neuron loss in amyotrophic lateral sclerosis and spinal muscle atrophy. Of particular interest is its use as an endpoint measure in clinical trials for these diseases. This article describes the principles of MUNE and the factors that need to be considered, and reviews several techniques that have been used in clinical trials and in monitoring progression. It then reviews experience with MUNE in clinical trials for amyotrophic lateral sclerosis and spinal muscle atrophy and discusses how MUNE correlates with measures of function.

Amyotrophic lateral sclerosis (ALS) is a uniformly fatal disease. In the US, care is concentrated in specialized clinics. ALS health care providers likely experience stress, but levels and associated factors and methods to manage them are not known. A questionnaire was designed to assess levels of emotional stress among ALS clinic providers (neurologists and clinic managers) at time of diagnosis, during care of the patient, and at time of the patient's death. Also included were questions about diagnostic practice patterns. Sixty-eight Muscular Dystrophy Association and ALS Association certified clinics were surveyed with a 47% response rate. Stress levels ranged from very severe to none at the various clinical stages but did not differ significantly between neurologists and managers. Stress tended to be lower in more experienced providers, although not uniformly so for all situations and time-points. Stress reduction techniques were rated as more effective for managers than for neurologists. Providers reported high levels of job satisfaction but a significant number gave consideration to leaving their positions due to stress and operational issues. In conclusion, stress is experienced by ALS clinic providers and managed by a variety of methods but with limited success.

The authors discuss the techniques and use of electrodiagnosis to help fully characterize peripheral neuropathies, including electrodiagnostic principles, normal findings, correlations between underlying nerve pathology that leads to abnormal electrodiagnostic findings, and how to detect and interpret electrodiagnostic findings.

ALS is progressive with increasing patient needs for durable medical equipment (DME) and interventions (gastric feeding tube - PEG, and non-invasive ventilation - NIV). We performed a chart review of deceased patients to determine the time-course of needs and their estimated costs. A timeline of needs was based on when clinic personnel felt an item was necessary. The point in time when an item or intervention was needed was expressed as a percentage of a patient's total disease duration. A wide range of DME and interventions was needed irrespective of site of ALS symptom onset (bulbar, upper, lower extremity), beginning at 10% of disease duration of lower extremity onset and increasing thereafter for all sites. The cumulative probability of costs of items and interventions began at 25%-50% of disease duration and increased to between $18,000 and $32,000 (USD), highest for lower extremity onset due to the cost of wheelchairs. We conclude that a high percentage of ALS patients will need a full spectrum of major DME items and interventions during the second half of disease duration. This results in a linear rise in costs over the second half of the disease duration.

Publisher Summary This chapter reviews that routine electromyography (EMG) relies on qualitative assessment and judgment of waveform patterns, and when made by experienced electromyographers can be accurate and insightful in recognizing the normal from the abnormal, and separating neuropathic from myopathic motor units. It discusses that automated quantitative electromyography (QEMG) techniques rely upon computer algorithms to extract motor unit action potentials (MUAPs). QEMG is not widely used in routine clinical practice due to increased operational complexity and time required to perform a study, plus a lack of uniformity in its operational use. A number of different algorithms are available and compares the performance of three of them. The chapter assesses a number of variables related to the operations performed by the algorithms including: marking of MUAP metrics, data acquisitions time, and effects of raising the high-pass filter. It also assesses whether there are differences in MUAP metrics depending upon where the needle is placed in the muscle.

Quantitative EMG (QEMG) techniques include automated motor unit action potential (MUAP) detection and marking of clinically useful waveform metrics. Different computer algorithms are available on modern EMG machines to perform these operations rapidly. However, the efficiency and accuracy of available algorithms are rarely directly compared. We have assessed three commercially available algorithms using both synthesized and biologic interference patterns and found differences among algorithms, some of which are clinically significant. Our results point out the importance of assessing for duplicate MUAPs (same waveform detected as two separate waveforms) and accuracy of markings used to determine MUAP metrics.