<p>Certain neurological conditions, such as amyotrophic lateral sclerosis (ALS) and spinal cord injury (SCI), result in motor unit loss in muscles. The stimulus-evoked compound muscle action potential (CMAP) scan captures comprehensive information on motor unit recruitment that enables rapid and non-invasive assessment of motor unit status. However, few publicly available CMAP scan datasets exist to support research on motor unit number estimation (MUNE). To address this gap, we collected CMAP scan data from the first dorsal interosseous (FDI) muscle of 13 individuals with SCI and 13 healthy participants, and established a dedicated CMAP scan dataset. The dataset includes CMAP waveforms evoked by each nerve stimulus from which CMAP scan curve and typical parameters were extracted for direct use. All SCI participants underwent multiple clinical assessments and exhibited a spectrum of impairment severity from mild to severe, resulting in diverse CMAP features. We anticipate that this dataset will facilitate the development of advanced CMAP scan-based assessment techniques and aid in the investigation of neuromuscular impairment.</p>

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Compound muscle action potential scan dataset in adults with spinal cord injury and healthy controls

  • Junjun Chen,
  • Peipei Xu,
  • Maoqi Chen,
  • Zhiyuan Lu,
  • Xiaoyan Li,
  • Argyrios Stampas,
  • Ya Zong,
  • Ping Zhou

摘要

Certain neurological conditions, such as amyotrophic lateral sclerosis (ALS) and spinal cord injury (SCI), result in motor unit loss in muscles. The stimulus-evoked compound muscle action potential (CMAP) scan captures comprehensive information on motor unit recruitment that enables rapid and non-invasive assessment of motor unit status. However, few publicly available CMAP scan datasets exist to support research on motor unit number estimation (MUNE). To address this gap, we collected CMAP scan data from the first dorsal interosseous (FDI) muscle of 13 individuals with SCI and 13 healthy participants, and established a dedicated CMAP scan dataset. The dataset includes CMAP waveforms evoked by each nerve stimulus from which CMAP scan curve and typical parameters were extracted for direct use. All SCI participants underwent multiple clinical assessments and exhibited a spectrum of impairment severity from mild to severe, resulting in diverse CMAP features. We anticipate that this dataset will facilitate the development of advanced CMAP scan-based assessment techniques and aid in the investigation of neuromuscular impairment.