Non-invasive measurement of fasciculation frequency demonstrates diagnostic accuracy in amyotrophic lateral sclerosis.

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Title: Non-invasive measurement of fasciculation frequency demonstrates diagnostic accuracy in amyotrophic lateral sclerosis.
Authors: Tamborska A; Department of Basic and Clinical Neuroscience, Maurice Wohl Clinical Neuroscience Institute, King's College London, London, UK., Bashford J; Department of Basic and Clinical Neuroscience, Maurice Wohl Clinical Neuroscience Institute, King's College London, London, UK., Wickham A; Department of Bioengineering, Imperial College London, London, UK., Iniesta R; Department of Biostatistics and Health Informatics, King's College London, London, UK., Masood U; Department of Basic and Clinical Neuroscience, Maurice Wohl Clinical Neuroscience Institute, King's College London, London, UK., Cabassi C; Department of Basic and Clinical Neuroscience, Maurice Wohl Clinical Neuroscience Institute, King's College London, London, UK., Planinc D; Department of Basic and Clinical Neuroscience, Maurice Wohl Clinical Neuroscience Institute, King's College London, London, UK., Hodson-Tole E; Department of Life Sciences, Musculoskeletal Sciences and Sports Medicine Research Centre, Manchester Metropolitan University, Manchester, UK., Drakakis E; Department of Bioengineering, Imperial College London, London, UK., Boutelle M; Department of Bioengineering, Imperial College London, London, UK., Mills K; Department of Basic and Clinical Neuroscience, Maurice Wohl Clinical Neuroscience Institute, King's College London, London, UK., Shaw C; Department of Basic and Clinical Neuroscience, Maurice Wohl Clinical Neuroscience Institute, King's College London, London, UK.
Source: Brain communications [Brain Commun] 2020 Sep 07; Vol. 2 (2), pp. fcaa141. Date of Electronic Publication: 2020 Sep 07 (Print Publication: 2020).
Publication Type: Journal Article
Journal Info: Publisher: Oxford University Press Country of Publication: England NLM ID: 101755125 Publication Model: eCollection Cited Medium: Internet ISSN: 2632-1297 (Electronic) Linking ISSN: 26321297 NLM ISO Abbreviation: Brain Commun Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2632-1297
DOI:10.1093/braincomms/fcaa141