A new diagnostic test to distinguish tremulous Parkinson's disease from advanced essential tremor

  • Background Clinical distinction between advanced essential tremor and tremulous Parkinson's disease can be difficult. Methods In selected power spectra of accelerometric postural tremor recordings on the more affected side of 41 patients with essential tremor and 39 patients with tremulous Parkinson's disease being indistinguishable by tremor frequency, peak power or number of harmonic peaks, waveform asymmetry (autocorrelation decay), and mean peak power of all harmonic peaks were computed. Cutoff for essential tremor–Parkinson's disease distinction was determined by receiver operating characteristics. Diagnostic yield was tested in 12 clinically unclear patients with monosymptomatic tremor, subsequently definitively diagnosed with essential tremor (n = 2) or Parkinson's disease (n = 10) by 123-I FP-CIT–single-photon emission computed tomography, fluorodopa-positron emission tomography, or clinical course. Results By autocorrelation decay 64%, by mean harmonic peak power 94%Background Clinical distinction between advanced essential tremor and tremulous Parkinson's disease can be difficult. Methods In selected power spectra of accelerometric postural tremor recordings on the more affected side of 41 patients with essential tremor and 39 patients with tremulous Parkinson's disease being indistinguishable by tremor frequency, peak power or number of harmonic peaks, waveform asymmetry (autocorrelation decay), and mean peak power of all harmonic peaks were computed. Cutoff for essential tremor–Parkinson's disease distinction was determined by receiver operating characteristics. Diagnostic yield was tested in 12 clinically unclear patients with monosymptomatic tremor, subsequently definitively diagnosed with essential tremor (n = 2) or Parkinson's disease (n = 10) by 123-I FP-CIT–single-photon emission computed tomography, fluorodopa-positron emission tomography, or clinical course. Results By autocorrelation decay 64%, by mean harmonic peak power 94% (Parkinson's disease > essential tremor) of patients with a definite clinical diagnosis, and 11 of 12 clinically unclear patients were classified correctly. Conclusions Mean harmonic power is a useful measure to separate clinically difficult cases of advanced essential tremor from tremulous Parkinson's disease.show moreshow less

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Metadaten
Author:Muthuraman MuthuramanORCiDGND, Abdulnasir Hossen, Ulrich Heute, Günther Deuschl, Jan Raethjen
URN:urn:nbn:de:bvb:384-opus4-1103633
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/110363
ISSN:0885-3185OPAC
ISSN:1531-8257OPAC
Parent Title (English):Movement Disorders
Publisher:Wiley
Place of publication:Weinheim
Type:Article
Language:English
Year of first Publication:2011
Publishing Institution:Universität Augsburg
Release Date:2023/12/20
Tag:Neurology (clinical); Neurology
Volume:26
Issue:8
First Page:1548
Last Page:1552
DOI:https://doi.org/10.1002/mds.23672
Institutes:Fakultät für Angewandte Informatik
Fakultät für Angewandte Informatik / Institut für Informatik
Fakultät für Angewandte Informatik / Institut für Informatik / Professur für Informatik in der Medizintechnik
Dewey Decimal Classification:0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
Licence (German):Deutsches Urheberrecht