Single-fiber electromyography in amyotrophic lateral sclerosis and cervical spondylosis

2013 ◽  
Vol 48 (1) ◽  
pp. 137-139 ◽  
Author(s):  
Mingsheng Liu ◽  
Liying Cui ◽  
Yuzhou Guan ◽  
Benhong Li ◽  
Hua Du
Keyword(s):  
Amyotrophic Lateral Sclerosis ◽  
Cervical Spondylosis ◽  
Single Fiber ◽  
Lateral Sclerosis

Amyotrophic lateral sclerosis: frequent complications by cervical spondylosis

2003 ◽  
Vol 8 (6) ◽  
pp. 878-881 ◽  
Author(s):  
Masahito Yamada ◽  
Yutaka Furukawa ◽  
Mie Hirohata
Keyword(s):  
Amyotrophic Lateral Sclerosis ◽  
Cervical Spondylosis ◽  
Lateral Sclerosis

Amyotrophic lateral sclerosis with sensitive findings

2001 ◽  
Vol 18 (3) ◽  
pp. 320-323
Author(s):  
Osvaldo JM Nascimento ◽  
Marco Orsini ◽  
Camila Pupe ◽  
Giseli Quintanilha ◽  
Mariana Pimentel De Mello ◽  
...  
Keyword(s):  
Amyotrophic Lateral Sclerosis ◽  
Cervical Spondylosis ◽  
Neurodegenerative Disorder ◽  
Chronic Inflammatory Demyelinating Polyneuropathy ◽  
Multifocal Motor Neuropathy ◽  
Final Diagnosis ◽  
Motor Neuropathy ◽  
Inflammatory Demyelinating Polyneuropathy ◽  
Lateral Sclerosis ◽  
Chronic Neuropathy

Introduction. Classical amyotrophic lateral sclerosis (ALS) is not hard to diagnose, but when it comes to atypical forms of motor neuron disease (MND) which account for about 20% in clinical setting, we may face some difficulties in differentiating clearly between atypical forms of ALS/MND and other non-ALS diseases, such as multifocal motor neuropathy, chronic inflammatory demyelinating polyneuropathy and cervical spondylosis. Association between neuropathy and ALS has been reported rarely. Method. We report a patient who presented with clinical/electrophysiological features and investigations suggestive of chronic neuropathy but who later progressed with anterior horn and pyramidal signs and received a final diagnosis of ALS according to the original El Escorial criteria. Conclusion. Our findings support the hypothesis that ALS is a multisystem neurodegenerative disorder that may occasionally include neuropathy among its non-motor features.

Automated Acoustic Analysis of Oral Diadochokinesis to Assess Bulbar Motor Involvement in Amyotrophic Lateral Sclerosis

2020 ◽  
Vol 63 (1) ◽  
pp. 59-73 ◽  
Author(s):  
Panying Rong
Keyword(s):  
Amyotrophic Lateral Sclerosis ◽  
Acoustic Analysis ◽  
Speaking Rate ◽  
Disease Stage ◽  
Healthy Controls ◽  
Tongue Movement ◽  
Major Barrier ◽  
Syllable Repetition ◽  
Oral Diadochokinesis ◽  
Lateral Sclerosis

Purpose The purpose of this article was to validate a novel acoustic analysis of oral diadochokinesis (DDK) in assessing bulbar motor involvement in amyotrophic lateral sclerosis (ALS). Method An automated acoustic DDK analysis was developed, which filtered out the voice features and extracted the envelope of the acoustic waveform reflecting the temporal pattern of syllable repetitions during an oral DDK task (i.e., repetitions of /tɑ/ at the maximum rate on 1 breath). Cycle-to-cycle temporal variability (cTV) of envelope fluctuations and syllable repetition rate (sylRate) were derived from the envelope and validated against 2 kinematic measures, which are tongue movement jitter (movJitter) and alternating tongue movement rate (AMR) during the DDK task, in 16 individuals with bulbar ALS and 18 healthy controls. After the validation, cTV, sylRate, movJitter, and AMR, along with an established clinical speech measure, that is, speaking rate (SR), were compared in their ability to (a) differentiate individuals with ALS from healthy controls and (b) detect early-stage bulbar declines in ALS. Results cTV and sylRate were significantly correlated with movJitter and AMR, respectively, across individuals with ALS and healthy controls, confirming the validity of the acoustic DDK analysis in extracting the temporal DDK pattern. Among all the acoustic and kinematic DDK measures, cTV showed the highest diagnostic accuracy (i.e., 0.87) with 80% sensitivity and 94% specificity in differentiating individuals with ALS from healthy controls, which outperformed the SR measure. Moreover, cTV showed a large increase during the early disease stage, which preceded the decline of SR. Conclusions This study provided preliminary validation of a novel automated acoustic DDK analysis in extracting a useful measure, namely, cTV, for early detection of bulbar ALS. This analysis overcame a major barrier in the existing acoustic DDK analysis, which is continuous voicing between syllables that interferes with syllable structures. This approach has potential clinical applications as a novel bulbar assessment.

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