TY - JOUR
T1 - The diagnostic value of clinical neurophysiology in hyperkinetic movement disorders: A systematic review
AU - van der Veen, S.
AU - Klamer, M. R.
AU - Elting, J. W. J.
AU - Koelman, J. H. T. M.
AU - van der Stouwe, A. M. M.
AU - Tijssen, M. A. J.
N1 - Funding Information: AMMS was funded by the Mandema Stipend 2018 awarded by the Junior Scientific Masterclass Groningen. JHTMK reports financial supports to organize educational meetings from Ipsen, Allergan and Merz. MAJT reports grants from the Netherlands Organisation for Health Research and DevelopmentNetherlands Organisation for Health Research and Development ZonMW Topsubsidie (91218013), the European Fund for Regional Development from the European Union (01492947) and the province of Friesland, Dystonia Medical Research Foundation, from Stichting Wetenschapsfonds DystonieStichting Wetenschapsfonds Dystonie Vereniging, from Fonds Psychische GezondheidFonds Psychische Gezondheid, from Phelps Stichting, and an unrestricted grants from Actelion and AOP Orphan Pharmaceuticals AGAOP Orphan Pharmaceuticals AG. The other authors have no financial disclosures. Publisher Copyright: © 2021 The Authors
PY - 2021/8
Y1 - 2021/8
N2 - Introduction: To guide the neurologist and neurophysiologist with interpretation and implementation of clinical neurophysiological examinations, we aim to provide a systematic review on evidence of electrophysiological features used to differentiate between hyperkinetic movement disorders. Methods: A PRISMA systematic search and QUADAS quality evaluation has been performed in PubMed to identify diagnostic test accuracy studies comparing electromyography and accelerometer features. We included papers focusing on tremor, dystonia, myoclonus, chorea, tics and ataxia and their functional variant. The features were grouped as 1) basic features (e.g., amplitude, frequency), 2) the influence of tasks on basic features (e.g., entrainment, distraction), 3) advanced analyses of multiple signals, 4) and diagnostic tools combining features. Results: Thirty-eight cross-sectional articles were included discussing tremor (n = 28), myoclonus (n = 5), dystonia (n = 5) and tics (n = 1). Fifteen were rated as ‘high quality’. In tremor, the basic and task-related features showed great overlap between clinical tremor syndromes, apart from rubral and enhanced physiological tremor. Advanced signal analyses were best suited for essential, parkinsonian and functional tremor, and cortical, non-cortical and functional jerks. Combinations of electrodiagnostic features could identify essential, enhanced physiological and functional tremor. Conclusion: Studies into the diagnostic accuracy of electrophysiological examinations to differentiate between hyperkinetic movement disorders have predominantly been focused on clinical tremor syndromes. No single feature can differentiate between them all; however, a combination of analyses might improve diagnostic accuracy.
AB - Introduction: To guide the neurologist and neurophysiologist with interpretation and implementation of clinical neurophysiological examinations, we aim to provide a systematic review on evidence of electrophysiological features used to differentiate between hyperkinetic movement disorders. Methods: A PRISMA systematic search and QUADAS quality evaluation has been performed in PubMed to identify diagnostic test accuracy studies comparing electromyography and accelerometer features. We included papers focusing on tremor, dystonia, myoclonus, chorea, tics and ataxia and their functional variant. The features were grouped as 1) basic features (e.g., amplitude, frequency), 2) the influence of tasks on basic features (e.g., entrainment, distraction), 3) advanced analyses of multiple signals, 4) and diagnostic tools combining features. Results: Thirty-eight cross-sectional articles were included discussing tremor (n = 28), myoclonus (n = 5), dystonia (n = 5) and tics (n = 1). Fifteen were rated as ‘high quality’. In tremor, the basic and task-related features showed great overlap between clinical tremor syndromes, apart from rubral and enhanced physiological tremor. Advanced signal analyses were best suited for essential, parkinsonian and functional tremor, and cortical, non-cortical and functional jerks. Combinations of electrodiagnostic features could identify essential, enhanced physiological and functional tremor. Conclusion: Studies into the diagnostic accuracy of electrophysiological examinations to differentiate between hyperkinetic movement disorders have predominantly been focused on clinical tremor syndromes. No single feature can differentiate between them all; however, a combination of analyses might improve diagnostic accuracy.
KW - Clinical neurophysiology
KW - Diagnostic value
KW - Dystonia
KW - Hyperkinetic movement disorder
KW - Myoclonus
KW - Tremor
UR - http://www.scopus.com/inward/record.url?scp=85111763707&partnerID=8YFLogxK
U2 - https://doi.org/10.1016/j.parkreldis.2021.07.033
DO - https://doi.org/10.1016/j.parkreldis.2021.07.033
M3 - Review article
C2 - 34362669
SN - 1353-8020
VL - 89
SP - 176
EP - 185
JO - Parkinsonism and Related Disorders
JF - Parkinsonism and Related Disorders
ER -