Objective: To determine the size, shape and distribution of single human motor units in-vivo in healthy controls of different ages.
Methods: A novel diffusion-weighted magnetic resonance imaging (MRI) technique was used in combination with in-scanner electrical stimulation to quantify the shape, cross-sectional area, and dimensions of individual motor units in 10 healthy subjects.
Results: Thirty-one discrete motor units were studied. The majority were elliptical or crescent shaped, but occasional split motor units were observed. The mean motor unit cross sectional area was 26.7 ± 11.2 mm, the mean maximum dimension was 10.7 ± 3.3 mm, and the mean minimum dimension was 4.5 ± 1.2 mm. Subjects aged over 40 had significantly larger maximum dimensions than those below this age (p < 0.05).
Conclusions: Motor unit MRI (MUMRI) is a novel technique capable of revealing the size, shape and position of multiple motor units in human muscles. It is reproducible, non-invasive, and sufficiently sensitive to detect physiologically relevant changes in motor unit morphology with age.
Significance: To our knowledge, these results provide the first imaging assessment of human motor unit morphology. The technique shows promise both as a diagnostic tool and as a biomarker in longitudinal studies of disease progression.
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http://dx.doi.org/10.1016/j.clinph.2020.02.004 | DOI Listing |
J Electromyogr Kinesiol
December 2024
School of Information Science and Technology, Dalian Maritime University, Linghai Road 1, Dalian, Liaoning Province 116026, China. Electronic address:
This study proposed a U-Net based partial convolutional time-domain model for a real-time high-density surface electromyography (HD-sEMG) decomposition. The model combines U-Net and a separation block containing partial convolution, aiming to efficiently identify motor units (MUs) without preprocessing. The proposed U-Net based network was trained by the HD-sEMG signals with innervation pulse trains (IPTs) labels, and the results are compared between different step sizes, noises, and model structures under the sliding time window with 120 sampling points.
View Article and Find Full Text PDFNeurosurg Rev
December 2024
Trauma Research Center, Shahid Rajaee (Emtiaz) Trauma Hospital, Chamran Blvd, Shiraz, 7194815711, Iran.
Background: Traumatic Brain Injury (TBI) is a leading cause of hospitalization and disability in young and middle-aged adults. This study aims to survey the efficacy of oral modafinil, a low-side-effect central nervous system stimulant, in the enhancement of consciousness recovery in moderate to severe TBI patients in the ICUs of a referral trauma center.
Materials And Methods: All ICU patients meeting inclusion criteria between April 2021 and April 2023 were screened.
J Cachexia Sarcopenia Muscle
February 2025
Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA.
Background: Inclusion body myositis (IBM) is the most prevalent muscle disease in adults for which no current treatment exists. The pathogenesis of IBM remains poorly defined. In this study, we aimed to explore the interplay between inflammation and mitochondrial dysfunction in IBM.
View Article and Find Full Text PDFJ Neuroeng Rehabil
December 2024
Department of Neurology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China.
Objective: Cognitive-motor dual-tasking training (CMDT) might improve limb function and motor performance in stroke patients. However, is there enough evidence to prove that it is more effective compared with conventional physical single-task training? This meta-analysis and Trial Sequential Analysis of randomized clinical trials (RCTs) aimed to evaluate the effectiveness of CMDT on balance and gait for treating hemiplegic stroke patients.
Methods: The databases were searched in PubMed, Web of Science, Ovid Database and The Cochrane Library, SinoMed database, Chinese National Knowledge Infrastructure (CNKI), Wan Fang database, and VIP database up to December 8, 2023.
Epilepsia
December 2024
IRCCS Istituto Delle Scienze Neurologiche di Bologna, full member of the European Reference Network for Rare and Complex Epilepsies (EpiCARE), Bologna, Italy.
Objective: The STEPPER (Status Epilepticus in Emilia-Romagna) study aimed to investigate the clinical characteristics, prognostic factors, and treatment approaches of status epilepticus (SE) in adults of the Emilia-Romagna region (ERR), Northern Italy.
Methods: STEPPER, an observational, prospective, multicentric cohort study, was conducted across neurology units, emergency departments, and intensive care units of the ERR over 24 months (October 2019-October 2021), encompassing incident cases of SE. Patients were followed up for 30 days.
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