Motor Unit Number Estimation (MUNE) and Quantitative EMGSelected Presentations from the Second International Symposium on MUNE and QEMG, Snowbird, Utah, USA, 18–20 August 2006

Content: 
Motor Unit Number Estimation (MUNE) and Quantitative EMG: Selected Presentations from the Second International Symposium on MUNE and QEMG, Snowbird, Utah, USA, 18–20 August 2006
Page iii
EDITED BY, M.B. Bromberg

Copyright
Page iv

Preface
Page v
Mark B. Bromberg

Dedication
Page vii

Introduction
Page ix

Acknowledgements
Page xi

List of Contributors
Pages xiii-xvii

Chapter 1 - Motor unit number estimations (MUNEs): past, present and future
Pages 3-23
W.F. Brown

Chapter 2 - Change in excitability of motor axons modifies statistical MUNE results
Pages 27-37
Lora A. Major, K. Ming Chan, Hugh Bostock, Kelvin E. Jones

Chapter 3 - Biological basis for motor unit number estimation through Bayesian statistical analysis of the stimulus–response curve
Pages 39-45
P.A. McCombe, R.D. Henderson, P.G. Ridall, A.N. Pettitt

Chapter 4 - Bayesian analysis of the stimulus–response curve
Pages 47-56
P.G. Ridall, A.N. Pettitt, P.A. McCombe, R.D. Henderson

Chapter 5 - Results of Bayesian statistical analysis in normal and ALS subjects
Pages 57-63
R.D. Henderson, P.G. Ridall, A.N. Pettitt, P.A. McCombe

Chapter 6 - The CMAP scan
Pages 65-77
Gerhard H. Visser, Joleen H. Blok

Chapter 7 - Physiological considerations, hardware and software requirements for stimulating single motor nerve fibers
Pages 79-89
W.F. Brown

Chapter 8 - Improving the accuracy of the multiple point stimulation technique
Pages 91-95
Cheryl L. Porter, Arodi Alvarez, Kelvin E. Jones, Lora A. Major, K. Ming Chan

Chapter 9 - Incremental stimulation MUNE: automation with global path search and alternation pattern recognition
Pages 97-103
Xuan Kong, Zhixiu Han, Shai N. Gozani

Chapter 10 - Motor unit number estimation with high-density surface EMG: principles and implications
Pages 105-118
J.P. van Dijk, D.F. Stegeman, M.J. Zwarts, J.H. Blok

Chapter 11 - Decomposition-enhanced spike triggered averaging MUNE: validity, reliability, and impact of contraction force
Pages 119-127
Timothy J. Doherty, Daniel W. Stashuk, Shaun G. Boe

Chapter 12 - Motor unit number estimation in the upper trapezius muscle
Pages 131-134
Richard A. Lewis

Chapter 13 - Statistical motor unit number estimation and ALS trials: the effect of motor unit instability
Pages 135-141
Jeremy M. Shefner

Chapter 14 - Motor neuron disorders: novel electrophysiologic approach (MUFDEC protocol)
Pages 143-152
F.C. Wang, N. Le Forestier, P. Gérard, J.C. Willer, V. Meininger, D. Dive, A. Maertens de Noordhout, P. Bouche

Chapter 15 - Motor unit number estimation (MUNE) in diseases of the motor neuron: utility and comparative analysis in a multimodal biomarker study
Pages 153-162
Clifton L. Gooch, Seth L. Pullman, Dikoma C. Shungu, Aziz M. Uluğ, Stephen Chan, Paul H. Gordon, Ming-X. Tang, Xiangling Mao, Lewis P. Rowland, Hiroshi Mitsumoto

Chapter 16 - Motor unit number estimation in asymptomatic familial amyotrophic lateral sclerosis
Pages 163-169
Arun Aggarwal

Chapter 17 - Detection of pre-clinical motor unit loss in familial amyotrophic lateral sclerosis
Pages 171-179
Arun Aggarwal

Chapter 18 - Motor unit number estimates, quantitative motor unit analysis and clinical outcome measures in amyotrophic lateral sclerosis
Pages 181-188
Shaun G. Boe, Daniel W. Stashuk, Timothy J. Doherty

Chapter 19 - Reduction in the motor unit number estimate (MUNE) after cerebral infarction
Pages 189-195
Keisuke Arasaki, Osamu Igarashi, Toru Machida, Akira Hyodo, Ryosuke Ushijima

Chapter 20 - Prospective 15-year study of neuromuscular function in a cohort of patients with prior poliomyelitis
Pages 197-201
Jasper R. Daube, Eric J. Sorenson, Anthony J. Windebank

Chapter 21 - Recent MUNE studies in animal models of motor neuron disease
Pages 203-208
Jeremy M. Shefner

Chapter 22 - Development and use of the incremental twitch subtraction MUNE method in mice
Pages 209-217
Janka Hegedus, Kelvin E. Jones, Tessa Gordon

Chapter 23 - Issues and expectations for EMG decomposition
Pages 221-229
Kevin C. McGill

Chapter 24 - Challenges in computerized MUAP analysis
Pages 233-246
Miki Nikolic, Christian Krarup

Chapter 25 - Decision support for QEMG
Pages 247-261
L.J. Pino, D.W. Stashuk, S.G. Boe, T.J. Doherty

Chapter 26 - Optimizing and standardizing quantitative EMG
Pages 263-269
Alexander A. Brownell, Mark B. Bromberg

Chapter 27 - A comparison of three quantitative motor unit analysis algorithms
Pages 273-278
Kevin C. McGill

Chapter 28 - Cloud interference pattern analysis (IPA) in thoracic paraspinal muscles in motor neuron disease
Pages 281-285
Benn E. Smith

Chapter 29 - Anal sphincter motor unit potential (MUP) differences between sides, between rest and voluntary contraction, and between MUP analysis programs in normal subjects
Pages 287-292
Jasper R. Daube, Julia Traue, William Litchy, Nima Mowzoon, Adil E. Bharucha

Subject Index
Pages 293-298