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MScanFit motor unit number estimation and muscle velocity recovery cycle recordings in diabetic polyneuropathy

Kristensen, AG; Khan, KS; Bostock, H; Khan, BS; Gylfadottir, S; Andersen, H; Finnerup, NB; ... Tankisi, H; + view all (2020) MScanFit motor unit number estimation and muscle velocity recovery cycle recordings in diabetic polyneuropathy. Clinical Neurophysiology , 131 (11) pp. 2591-2599. 10.1016/j.clinph.2020.07.017. Green open access

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Abstract

OBJECTIVE: Motor Unit Number Estimation (MUNE) methods may be valuable in tracking motor unit loss in diabetic polyneuropathy (DPN). Muscle Velocity Recovery Cycles (MVRCs) provide information about muscle membrane properties. This study aimed to examine the utility of the MScanFit MUNE in detecting motor unit loss and to test whether the MVRCs could improve understanding of DPN pathophysiology. METHODS: Seventy-nine type-2 diabetic patients were compared to 32 control subjects. All participants were examined with MScanFit MUNE and MVRCs in anterior tibial muscle. Lower limb nerve conduction studies (NCS) in peroneal, tibial and sural nerves were applied to diagnose large fiber neuropathy. RESULTS: NCS confirmed DPN for 47 patients (DPN + ), with 32 not showing DPN (DPN-). MScanFit showed significantly decreased MUNE values and increased motor unit sizes, when comparing DPN + patients with controls (MUNE = 71.3 ± 4.7 vs 122.7 ± 3.8), and also when comparing DPN- patients (MUNE = 103.2 ± 5.1) with controls. MVRCs did not differ between groups. CONCLUSIONS: MScanFit is more sensitive in showing motor unit loss than NCS in type-2 diabetic patients, whereas MVRCs do not provide additional information. SIGNIFICANCE: The MScanFit results suggest that motor changes are seen as early as sensory, and the role of axonal membrane properties in DPN pathophysiology should be revisited.

Type: Article
Title: MScanFit motor unit number estimation and muscle velocity recovery cycle recordings in diabetic polyneuropathy
Location: Netherlands
Open access status: An open access version is available from UCL Discovery
DOI: 10.1016/j.clinph.2020.07.017
Publisher version: https://doi.org/10.1016/j.clinph.2020.07.017
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher's terms and conditions.
Keywords: Diabetic polyneuropathy, MScanFit, Motor unit loss, Motor unit number estimation, Muscle velocity recovery cycles
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology
URI: https://discovery.ucl.ac.uk/id/eprint/10110422
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