Tremor stability index: a new tool for differential diagnosis in tremor syndromes
Open accessAbstract
See Vidailhet et al. (doi:10.1093/brain/awx140) for a scientific commentary on this article. Misdiagnosis among tremor syndromes is common, and can impact on both clinical care and research. To date no validated neurophysiological technique is available that has proven to have good classification performance, and the diagnostic gold standard is the clinical evaluation made by a movement disorders expert. We present a robust new neurophysiological measure, the tremor stability index, which can discriminate Parkinson’s disease tremor and essential tremor with high diagnostic accuracy. The tremor stability index is derived from kinematic measurements of tremulous activity. It was assessed in a test cohort comprising 16 rest tremor recordings in tremor-dominant Parkinson’s disease and 20 postural tremor recordings in essential tremor, and validated on a second, independent cohort comprising a further 55 tremulous Parkinson’s disease and essential tremor recordings. Clinical diagnosis was used as gold standard. One hundred seconds of tremor recording were selected for analysis in each patient. The classification accuracy of the new index was assessed by binary logistic regression and by receiver operating characteristic analysis. The diagnostic performance was examined by calculating the sensitivity, specificity, accuracy, likelihood ratio positive, likelihood ratio negative, area under the receiver operating characteristic curve, and by cross-validation. Tremor stability index with a cut-off of 1.05 gave good classification performance for Parkinson’s disease tremor and essential tremor, in both test and validation datasets. Tremor stability index maximum sensitivity, specificity and accuracy were 95%, 95% and 92%, respectively. Receiver operating characteristic analysis showed an area under the curve of 0.916 (95% confidence interval 0.797–1.000) for the test dataset and a value of 0.855 (95% confidence interval 0.754–0.957) for the validation dataset. Classification accuracy proved independent of recording device and posture. The tremor stability index can aid in the differential diagnosis of the two most common tremor types. It has a high diagnostic accuracy, can be derived from short, cheap, widely available and non-invasive tremor recordings, and is independent of operator or postural context in its interpretation.
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Many statistical features from kinetic signals of tremor, including tremor intensity, dominant frequency, bursting duration, shape factors, and tremor stability index, have been discovered to be statistically different between PD and ET.
“Many statistical features from kinetic signals of tremor, including tremor intensity, dominant frequency, bursting duration (Milanov, 2001), shape factors (Deuschl et al., 1995), tremor stability index (Di Biase et al., 2017) etc., have been discovered to be statistically different between PD and ET.”
From A Novel Posture for Better Differentiation Between Parkinson's Tremor and Essential Tremor (2018) · cites this paper as Di Biase et al., 2017
Our best result with the arm-rested posture is superior to that of the state-of-the-art study by Di Biase et al. (2017) in specificity and accuracy, although sensitivity was slightly lower.
“In comparison with the other electrophysiological measures identified for differentiation between Parkinson's disease tremor and essential tremor, we found that our best result with the arm-rested posture is superior to that of the state-of-the-art study by Di Biase et al. (2017), where the tremor stability index was proposed as a new tool for tremor differentiation (TPR = 95%, FPR = 5%, ACC = 92%”
From A Novel Posture for Better Differentiation Between Parkinson's Tremor and Essential Tremor (2018) · cites this paper as Di Biase et al. (2017)
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Cites
The relevance of the Lewy body to the pathogenesis of idiopathic Parkinson's disease.
Gibb, W. R., & Lees, A. J. (1988) · Journal of Neurology, Neurosurgery & Psychiatry · doi:10.1136/jnnp.51.6.745 · Cited by 3,481 · see citing works
Essential tremor: Clinical correlates in 350 patients
Lou, J.-S., & Jankovic, J. (1991) · Neurology · doi:10.1212/wnl.41.2_part_1.234 · Cited by 375 · see citing works
Smart watch accelerometry for analysis and diagnosis of tremor
Wile, D. J., Ranawaya, R., & Kiss, Z. H. T. (2014) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2014.04.021 · Cited by 148 · see citing works
Flagged first, then by citations
Research works printed but not linked: 27
- Asenbaum S Pirker W Angelberger P Bencsits G Pruckmayer M Brücke T [123I] β-CIT and SPECT in essential tremor and Parkinson’s disease J Neural Trans 1998 105 1213 28 9928890
- Bajaj NP Gontu V Birchall J Patterson J Grosset DG Lees AJ Accuracy of clinical diagnosis in tremulous parkinsonian patients: a blinded video study J Neurol NeurosurgPsychiatry 2010 81 1223 8 20547625
- Belvisi D Conte A Bologna M Bloise MC Suppa A Formica A Re-emergent tremor in Parkinson’s disease Parkinsonism Relat Disord 2017 36 41 6 28007517
- Benamer HT Patterson J Grosset DG Booij J De Bruin K Van Royen E Accurate differentiation of parkinsonism and essential tremor using visual assessment of [123I]-FP-CIT SPECT imaging: The [123I]-FP-CIT study group Mov Disord 2000 15 503 10 10830416
- Beudel M Little S Pogosyan A Ashkan K Foltynie T Limousin P Tremor reduction by deep brain stimulation is associated with gamma power suppression in Parkinson’s disease Neuromodulation 2015 18 349 54 25879998 PMC4829100
- Brittain J-S Cagnan H Mehta AR Saifee TA Edwards MJ Brown P Distinguishing the central drive to tremor in Parkinson’s disease and essential tremor J Neurosci 2015 35 795 806 25589772 PMC4293424
- Colebatch J Frackowiak R Brooks D Findley L Marsden C Preliminary report: activation of the cerebellum in essential tremor Lancet 1990 336 1028 30 1977019
- de la Fuente-Fernández R Role of DaTSCAN and clinical diagnosis in Parkinson disease Neurology 2012 78 696 701 22323748
- Deuschl G Bain P Brin M Agid Y Benabid L Benecke R Consensus statement of the Movement Disorder Society on tremor Mov Disord 1998 13 Suppl. 3 2 23 9827589
- Deuschl G Krack P Lauk M Timmer J Clinical neurophysiology of tremor J Clin Neurophysiol 1996 13 110 21 8849966
- Elble RJ Essential tremor is a monosymptomatic disorder Mov Disord 2002 17 633 7 12210850
- Erro R Schneider SA Quinn NP Bhatia KP What do patients with scans without evidence of dopaminergic deficit (SWEDD) have? New evidence and continuing controversies J Neurol Neurosurg Psychiatry 2016 87 319 23 25991401
- Hughes AJ Daniel SE Kilford L Lees AJ Accuracy of clinical diagnosis of idiopathic Parkinson’s disease: a clinico-pathological study of 100 cases J Neurol Neurosurg Psychiatry 1992 55 181 4 1564476 PMC1014720
- Jain S Lo SE Louis ED Common misdiagnosis of a common neurological disorder: how are we misdiagnosing essential tremor? Arch Neurol 2006 63 1100 4 16908735
- Jankovic J Schwartz KS Ondo W Re-emergent tremor of Parkinson’s disease J Neurol Neurosurg Psychiatry 1999 67 646 50 10519872 PMC1736624
- Jenkins I Bain P Colebatch J Thompson P Findley L Frackowiak R A positron emission tomography study of essential tremor: evidence for overactivity of cerebellar connections Ann Neurol 1993 34 82 90 8517685
- Menéndez-González M Tavares F Zeidan N Salas-Pacheco JM Arias-Carrión O Diagnoses behind patients with hard-to-classify tremor and normal DaT-SPECT: a clinical follow up study Front Aging Neurosci 2014 6 56 24744729 PMC3978325
- Muthuraman M Hossen A Heute U Deuschl G Raethjen J A new diagnostic test to distinguish tremulous Parkinson’s disease from advanced essential tremor Mov Disord 2011 26 1548 52 21520285
- Parkinson Study Group A multicenter assessment of dopamine transporter imaging with DOPASCAN/SPECT in parkinsonism Neurology 2000 55 1540 7 11094111
- Politis M Neuroimaging in Parkinson disease: from research setting to clinical practice Nat Rev Neurol 2014 10 708 22 25385334
- Rizzo G Copetti M Arcuti S Martino D Fontana A Logroscino G Accuracy of clinical diagnosis of Parkinson disease A systematic review and meta-analysis Neurology 2016 86 566 76 26764028
- Schrag A Schott JM Epidemiological, clinical, and genetic characteristics of early-onset parkinsonism Lancet Neurol 2006 5 355 63 16545752
- Schwingenschuh P Ruge D Edwards MJ Terranova C Katschnig P Carrillo F Distinguishing SWEDDs patients with asymmetric resting tremor from Parkinson’s disease: a clinical and electrophysio-logical study Mov Disord 2010 25 560 9 20131394 PMC2996567
- Selikhova M Kempster PA Revesz T Holton JL Lees AJ Neuropathological findings in benign tremulous parkinsonism Mov Disord 2013 28 145 52 23239469
- Shahed J Jankovic J Exploring the relationship between essential tremor and Parkinson’s disease Parkinsonism Relat Disord 2007 13 67 76 16887374
- Wills A Jenkins I Thompson P Findley L Brooks D Red nuclear and cerebellar but no olivary activation associated with essential tremor: a positron emission tomoraphic study Ann Neurol 1994 36 636 42 7944296
- Zweig MH Campbell G Receiver-operating characteristic (ROC) plots: a fundamental evaluation tool in clinical medicine Clin Chem 1993 39 561 77 8472349
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Pando‐Naude, V., Matthews, T. E., Højlund, A., Jakobsen, S., Østergaard, K., Johnsen, E., Garza‐Villarreal, E. A., Witek, M. A. G., Penhune, V., & Vuust, P. (2024) · European Journal of Neuroscience · doi:10.1111/ejn.16128 · Cited by 29 · see citing works
Luft, F., Sharifi, S., Mugge, W., Schouten, A., Bour, L., van Rootselaar, A.-F., Veltink, P., & Heida, T. (2019) · Sensors · doi:10.3390/s19194301 · Cited by 27 · see citing works
A Novel Posture for Better Differentiation Between Parkinson's Tremor and Essential Tremor
Zhang, B., Huang, F., Liu, J., & Zhang, D. (2018) · Frontiers in Neuroscience · doi:10.3389/fnins.2018.00317 · Cited by 24 · see citing works
“…disease tremor and essential tremor, we found that our best result with the arm-rested posture is superior to that of the state-of-the-art study by Di Biase et al. (2017), where the tremor stability index was proposed as a new tool for tremor differentiation (TPR = 95%, FPR = 5%, ACC = 92%).”
BackgroundResultReal-time classification of movement patterns of tremor patients
Piepjohn, P., Bald, C., Kuhlenbäumer, G., Becktepe, J. S., Deuschl, G., & Schmidt, G. (2022) · Biomedical Engineering / Biomedizinische Technik · doi:10.1515/bmt-2021-0140 · Cited by 5 · see citing works
- Authors
- di Biase, L., Brittain, J.-S., Shah, S. A., Pedrosa, D. J., Cagnan, H., Mathy, A., Chen, C. C., Martín-Rodríguez, J. F., Mir, P., Timmerman, L., Schwingenschuh, P., Bhatia, K., Di Lazzaro, V., & Brown, P.
- Affiliations
- Neurology Unit, Campus Bio-Medico University of Rome, Via Alvaro del Portillo 200, 00128, Rome, Italy
- John Radcliffe Hospital (GB)
- Chang Gung Memorial Hospital (TW)
- Nuffield Department of Clinical Neurosciences, University of Oxford, Level 6, West Wing, John Radcliffe Hospital, OX3 9DU, Oxford, UK
- Biomedical Research Networking Center on Neurodegenerative Diseases (ES)
- Universitätsklinikum Gießen und Marburg (DE)
- Medical University of Graz (AT)
- University College London (GB)
- ORCID
- Venue
- Brain
- Publisher
- Oxford University Press (OUP)
- Published
- 2017-04-27
- Volume
- 140
- Issue
- 7
- Pages
- 1977-1986
- ISSN
- 0006-8950 (ISSN-L)
- 1460-2156
- PMC
- PMC5493195
- OpenAlex
- W2608301715
- Cited by
- 140
- References
- 3
- Citations by year
- 2026: 12 · 2025: 19 · 2024: 14 · 2023: 17 · 2022: 23 · 2021: 16 · 2020: 16 · 2019: 9 · 2018: 9 · 2017: 5
- FWCI
- 7.43
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- cc-by
- Locations
- Brain (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Kölner Universitäts PublikationsServer (Universität zu Köln) (publishedVersion)
- PubMed Central (acceptedVersion, cc-by)
- Deposito de Investigacion Universidad de Sevilla (University of Seville) (submittedVersion, cc-by)
- University of Birmingham Research Portal (University of Birmingham) (submittedVersion, cc-by)
- RISalud Institutional Health Repository of Andalucía (submittedVersion, cc-by)
- UCL Discovery (University College London) (submittedVersion)
- Edinburgh Research Explorer (University of Edinburgh) (submittedVersion, cc-by)
- Funders
- Rosetrees Trust (M235-CD1)
- Deutsche Forschungsgemeinschaft
- Medical Research Council (MR/N003446/1, MR/M014762/1, MC_UU_12024, MR/N003446/2, MC_UU_12024/1)
- Topics
- Health Sciences › Medicine › Neurology › Neurological disorders and treatments
- Health Sciences › Medicine › Neurology › Parkinson's Disease Mechanisms and Treatments
- Life Sciences › Neuroscience › Cognitive Neuroscience › Motor Control and Adaptation
- Keywords
- essential tremor, tremor differential diagnosis, resting tremor, postural tremor, neurophysiological markers, diagnostic accuracy
- MeSH terms
- Aged, Biomechanical Phenomena, Diagnosis, Differential, Humans, Middle Aged, Parkinson Disease, Sensitivity and Specificity, Severity of Illness Index, Essential Tremor
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