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Quantitative assessment of finger tapping characteristics in mild cognitive impairment, Alzheimer’s disease, and Parkinson’s disease

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Abstract

Background

Fine motor impairments are common in neurodegenerative disorders, yet standardized, quantitative measurements of motor abilities are uncommonly used in neurological practice. Thus, understanding and comparing fine motor abilities across disorders have been limited.

Objectives

The current study compared differences in finger tapping, inter-tap interval, and variability in Alzheimer’s disease (AD), Parkinson’s disease (PD), mild cognitive impairment (MCI), and healthy older adults (HOA).

Methods

Finger tapping was measured using a highly sensitive light-diode finger tapper. Total number of finger taps, inter-tap interval, and intra-individual variability (IIV) of finger tapping was measured and compared in AD (n = 131), PD (n = 63), MCI (n = 46), and HOA (n = 62), controlling for age and sex.

Results

All patient groups had fine motor impairments relative to HOA. AD and MCI groups produced fewer taps with longer inter-tap interval and higher IIV compared to HOA. The PD group, however, produced more taps with shorter inter-tap interval and higher IIV compared to HOA.

Conclusions

Disease-specific changes in fine motor function occur in the most common neurodegenerative diseases. The findings suggest that alterations in finger tapping patterns are common in AD, MCI, and PD. In addition, the present results underscore the importance of motor dysfunction even in neurodegenerative disorders without primary motor symptoms.

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References

  1. Maetzler W, Ellerbrock M, Heger T, Sass C, Berg D, Reilmann R (2015) Digitomotography in Parkinson’s disease: a cross-sectional and longitudinal study. PLoS One 10:e0123914

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  2. Albers MW, Gilmore GC, Kaye J, Murphy C, Wingfield A, Bennett DA, Boxer AL, Buchman AS, Cruickshanks KJ, Devanand DP (2015) At the interface of sensory and motor dysfunctions and Alzheimer’s disease. Alzheimers Dement (Amst) 11:70–98

    Article  Google Scholar 

  3. Reitan RM, Wolfson D (1985) The Halstead-Reitan neuropsychological test battery: theory and clinical interpretation. Neuropsychology Press, Tucson, AZ

  4. Camicioli R, Howieson D, Oken B, Sexton G, Kaye J (1998) Motor slowing precedes cognitive impairment in the oldest old. Neurology 50:1496–1498

    Article  PubMed  CAS  Google Scholar 

  5. Jankovic J (2008) Parkinson’s disease: clinical features and diagnosis. J Neurol Neurosurg Psychiatry 79:368–376

    Article  PubMed  CAS  Google Scholar 

  6. Goetz CG, Tilley BC, Shaftman SR, Stebbins GT, Fahn S, Martinez-Martin P, Poewe W, Sampaio C, Stern MB, Dodel R (2008) Movement Disorder Society-sponsored revision of the Unified Parkinson’s Disease Rating Scale (MDS-UPDRS): scale presentation and clinimetric testing results. Mov Disord 23:2129–2170

    Article  PubMed  Google Scholar 

  7. Ringendahl H (2002) Factor structure, normative data and retest-reliability of a test of fine motor functions in patients with idiopathic Parkinson’s disease. J Clin Exp Neuropsychol 24:491–502

    Article  PubMed  Google Scholar 

  8. Henderson L, Kennard C, Crawford T, Day S, Everitt B, Goodrich S, Jones F, Park D (1991) Scales for rating motor impairment in Parkinson’s disease: studies of reliability and convergent validity. J Neurol Neurosurg Psychiatry 54:18–24

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  9. Goetz CG, Stebbins GT (2004) Assuring interrater reliability for the UPDRS motor section: utility of the UPDRS teaching tape. Mov Disord 19:1453–1456

    Article  PubMed  Google Scholar 

  10. Bangert AS, Balota DA (2012) Keep up the pace: declines in simple repetitive timing differentiate healthy aging from the earliest stages of Alzheimer’s disease. J Int Neuropsychol Soc 18:1052–1063

    Article  PubMed  PubMed Central  Google Scholar 

  11. Duchek JM, Balota DA, Ferraro FR (1994) Component analysis of a rhythmic finger tapping task in individuals with senile dementia of the Alzheimer type and in individuals with Parkinson’s disease. Neuropsychology 8:218

    Article  Google Scholar 

  12. Gorus E, De Raedt R, Lambert M, Lemper J-C, Mets T (2008) Reaction times and performance variability in normal aging, mild cognitive impairment, and Alzheimer’s disease. J Geriatr Psychiatry Neurol 21:204–218

    Article  PubMed  Google Scholar 

  13. Suzumura S, Osawa A, Nagahama T, Kondo I, Sano Y, Kandori A (2016) Assessment of finger motor skills in individuals with mild cognitive impairment and patients with Alzheimer’s disease: relationship between finger-to-thumb tapping and cognitive function. Jpn J Compr Rehabil Sci 7:19–28

    Google Scholar 

  14. Kluger A, Gianutsos JG, Golomb J, Ferris SH, Reisberg B (1997) Motor/psychomotor dysfunction in normal aging, mild cognitive decline, and early Alzheimer’s disease: diagnostic and differential diagnostic features. Int Psychogeriatr 9:307–316

    Article  PubMed  Google Scholar 

  15. de Paula JJ, Albuquerque MR, Lage GM, Bicalho MA, Romano-Silva MA, Malloy-Diniz LF (2016) Impairment of fine motor dexterity in mild cognitive impairment and Alzheimer’s disease dementia: association with activities of daily living. Rev Bras Psiquiatr 38(3):235–238

    Article  PubMed  Google Scholar 

  16. Yan JH, Rountree S, Massman P, Doody RS, Li H (2008) Alzheimer’s disease and mild cognitive impairment deteriorate fine movement control. J Psychiatr Res 42:1203–1212

    Article  PubMed  Google Scholar 

  17. Rabinowitz I, Lavner Y (2014) Association between finger tapping, attention, memory, and cognitive diagnosis in elderly patients. Percept Mot Skills 119:259–278

    Article  PubMed  Google Scholar 

  18. Kluger A, Gianutsos JG, Golomb J, Ferris SH, George AE, Franssen E, Reisberg B (1997) Patterns of motor impairment in normal aging, mild cognitive decline, and early Alzheimer’Disease. J Gerontol Ser B Psychol Sci Soc Sci 52:P28–P39

    Article  Google Scholar 

  19. Ott BR, Ellias SA, Lannon MC (1995) Quantitative assessment of movement in Alzheimer’s disease. J Geriatr Psychiatry Neurol 8(1):71–75

    PubMed  CAS  Google Scholar 

  20. Sano Y, Kandori A, Shima K, Yamaguchi Y, Tsuji T, Noda M, Higashikawa F, Yokoe M, Sakoda S (2016) Quantifying Parkinson’s disease finger-tapping severity by extracting and synthesizing finger motion properties. Med Biol Eng Comput 54:953–965

    Article  PubMed  Google Scholar 

  21. Yokoe M, Okuno R, Hamasaki T, Kurachi Y, Akazawa K, Sakoda S (2009) Opening velocity, a novel parameter, for finger tapping test in patients with Parkinson’s disease. Parkinsonism Relat Disord 15:440–444

    Article  PubMed  CAS  Google Scholar 

  22. Agostino R, Currà A, Giovannelli M, Modugno N, Manfredi M, Berardelli A (2003) Impairment of individual finger movements in Parkinson’s disease. Mov Disord 18:560–565

    Article  PubMed  Google Scholar 

  23. Beuter A, de Geoffroy A, Cordo P (1994) The measurement of tremor using simple laser systems. J Neurosci Methods 53:47–54

    Article  PubMed  CAS  Google Scholar 

  24. Cousins MS, Corrow C, Finn M, Salamone JD (1998) Temporal measures of human finger tapping: effects of age. Pharmacol Biochem Behav 59:445–449

    Article  PubMed  CAS  Google Scholar 

  25. Bielak AAM, Cherbuin N, Bunce D, Anstey KJ (2014) Intraindividual variability is a fundamental phenomenon of aging: evidence from an 8-year longitudinal study across young, middle, and older adulthood. Dev Psychol 50:143

    Article  PubMed  Google Scholar 

  26. MacDonald SWS, Nyberg L, Backman L (2006) Intra-individual variability in behavior: links to brain structure, neurotransmission and neuronal activity. Trends Neurosci 29:474–480

    Article  PubMed  CAS  Google Scholar 

  27. Kälin AM, Pflüger M, Gietl AF, Riese F, Jäncke L, Nitsch RM, Hock C (2014) Intraindividual variability across cognitive tasks as a potential marker for prodromal Alzheimer’s disease. Front Aging Neurosci 6:147

    Article  PubMed  PubMed Central  Google Scholar 

  28. MacDonald SW, Li SC, Backman L (2009) Neural underpinnings of within-person variability in cognitive functioning. Psychol Aging 24:792–808

    Article  PubMed  Google Scholar 

  29. Roalf DR, Moberg PJ, Xie SX, Wolk DA, Moelter ST, Arnold SE (2013) Comparative accuracies of two common screening instruments for classification of Alzheimer’s disease, mild cognitive impairment, and healthy aging. Alzheimers Dement (Amst) 9:529–537

    Article  Google Scholar 

  30. Pigott K, Rick J, Xie SX, Hurtig H, Chen-Plotkin A, Duda JE, Morley JF, Chahine LM, Dahodwala N, Akhtar RS (2015) Longitudinal study of normal cognition in Parkinson disease. Neurology 85:1276–1282

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  31. NeuroCognitive Engineering Incorporated. Operations manual for the finger and foot tapping tests using light beam detection instruments. Version 2.0

  32. Holtzer R, Verghese J, Wang C, Hall CB, Lipton RB (2008) Within-person across-neuropsychological test variability and incident dementia. J Am Med Assoc 300:823–830

    Article  CAS  Google Scholar 

  33. Roalf DR, Gur RE, Ruparel K, Calkins ME, Satterthwaite TD, Bilker W, Hakonarson H, Harris LJ, Gur RC (2014) Within-individual variability in neurocognitive performance: age and sex-related differences in children and youths from ages 8 to 21. Neuropsychology 28:506–518

    Article  PubMed  PubMed Central  Google Scholar 

  34. Roalf DR, Ruparel K, Verma R, Elliott MA, Gur RE, Gur RC (2013) White matter organization and neurocognitive performance variability in schizophrenia. Schizophr Res 143:172–178

    Article  PubMed  Google Scholar 

  35. Robin X, Turck N, Hainard A, Tiberti N, Lisacek F, Sanchez J-C, Müller M (2011) pROC: an open-source package for R and S+ to analyze and compare ROC curves. BMC Bioinform 12:77

    Article  Google Scholar 

  36. DeLong ER, DeLong DM, Clarke-Pearson DL (1988) Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. Biometrics 44:837–845

    Article  PubMed  CAS  Google Scholar 

  37. Robin X, Turck N, Hainard A, Tiberti N, Lisacek F, Sanchez J-C, Müller M (2011) pROC: an open-source package for R and S+ to analyze and compare ROC curves. BMC Bioinform 12:77. https://doi.org/10.1186/1471-2105-12-77

    Article  Google Scholar 

  38. R-Core-Team, (2012) R Foundation for Statistical Computing. Austria, Vienna

    Google Scholar 

  39. Amieva H, Phillips LH, Della Sala S, Henry JD (2004) Inhibitory functioning in Alzheimer’s disease. Brain 127:949–964

    Article  PubMed  Google Scholar 

  40. Goldman W, Baty J, Buckles V, Sahrmann S, Morris JC (1999) Motor dysfunction in mildly demented AD individuals without extrapyramidal signs. Neurology 53:956

    Article  PubMed  CAS  Google Scholar 

  41. Yahalom G, Simon E, Thorne R, Peretz C, Giladi N (2004) Hand rhythmic tapping and timing in Parkinson’s disease. Parkinsonism Relat Disord 10:143–148

    Article  PubMed  CAS  Google Scholar 

  42. Homann C, Quehenberger F, Petrovic K, Hartung H, Ruzicka E, Homann B, Suppan K, Wenzel K, Ivanic G, Ott E (2003) Influence of age, gender, education and dexterity on upper limb motor performance in Parkinsonian patients and healthy controls. J Neural Transm 110:885–897

    Article  PubMed  CAS  Google Scholar 

  43. Pal P, Lee C, Samii A, Schulzer M, Stoessl A, Mak E, Wudel J, Dobko T, Tsui J (2001) Alternating two finger tapping with contralateral activation is an objective measure of clinical severity in Parkinson’s disease and correlates with PET [18F]-DOPA Ki. Parkinsonism Relat Disord 7:305–309

    Article  PubMed  Google Scholar 

  44. Konczak J, Ackermann H, Hertrich I, Spieker S, Dichgans J (1997) Control of repetitive lip and finger movements in Parkinson’s disease: influence of external timing signals and simultaneous execution on motor performance. Mov Disord 12:665–676

    Article  PubMed  CAS  Google Scholar 

  45. O’Boyle DJ, Freeman JS, Cody FW (1996) The accuracy and precision of timing of self-paced, repetitive movements in subjects with Parkinson’s disease. Brain 119:51–70

    Article  PubMed  Google Scholar 

  46. Shimoyama I, Ninchoji T, Uemura K (1990) The finger-tapping test: a quantitative analysis. Arch Neurol 47:681–684

    Article  PubMed  CAS  Google Scholar 

  47. Nakamura R, Nagasaki H, Narabayashi H (1978) Disturbances of rhythm formation in patients with Parkinson’s disease: part I. Characteristics of tapping response to the periodic signals. Percept Mot Skills 46:63–75

    Article  PubMed  CAS  Google Scholar 

  48. Heldman DA, Giuffrida JP, Chen R, Payne M, Mazzella F, Duker AP, Sahay A, Kim SJ, Revilla FJ, Espay AJ (2011) The modified bradykinesia rating scale for Parkinson’s disease: reliability and comparison with kinematic measures. Mov Disord 26:1859–1863

    Article  PubMed  PubMed Central  Google Scholar 

  49. Hammond C, Bergman H, Brown P (2007) Pathological synchronization in Parkinson’s disease: networks, models and treatments. Trends Neurosci 30:357–364

    Article  PubMed  CAS  Google Scholar 

  50. Muir SR, Jones RD, Andreae JH, Donaldson IM (1995) Measurement and analysis of single and multiple finger tapping in normal and Parkinsonian subjects. Parkinsonism Relat Disord 1:89–96

    Article  PubMed  CAS  Google Scholar 

  51. Moreau C, Ozsancak C, Blatt JL, Derambure P, Destee A, Defebvre L (2007) Oral festination in Parkinson’s disease: biomechanical analysis and correlation with festination and freezing of gait. Mov Disord 22:1503–1506

    Article  PubMed  Google Scholar 

  52. Bologna M, Leodori G, Stirpe P, Paparella G, Colella D, Belvisi D, Fasano A, Fabbrini G, Berardelli A (2016) Bradykinesia in early and advanced Parkinson’s disease. J Neurol Sci 369:286–291

    Article  PubMed  Google Scholar 

  53. Dauer W, Przedborski S (2003) Parkinson’s disease: mechanisms and models. Neuron 39:889–909

    Article  PubMed  CAS  Google Scholar 

  54. Duchek JM, Balota DA, Tse C-S, Holtzman DM, Fagan AM, Goate AM (2009) The utility of intraindividual variability in selective attention tasks as an early marker for Alzheimer’s disease. Neuropsychology 23:746

    Article  PubMed  PubMed Central  Google Scholar 

  55. Hultsch DF, MacDonald SW, Hunter MA, Levy-Bencheton J, Strauss E (2000) Intraindividual variability in cognitive performance in older adults: comparison of adults with mild dementia, adults with arthritis, and healthy adults. Neuropsychology 14:588–598

    Article  PubMed  CAS  Google Scholar 

  56. Bielak AAM, Hultsch DF, Strauss E, MacDonald SWS, Hunter MA (2010) Intraindividual variability in reaction time predicts cognitive outcomes 5 years later. Neuropsychology 24:731

    Article  PubMed  Google Scholar 

  57. Christensen H, Dear KB, Anstey KJ, Parslow RA, Sachdev P, Jorm AF (2005) Within-occasion intraindividual variability and preclinical diagnostic status: is intraindividual variability an indicator of mild cognitive impairment? Neuropsychology 19:309–317

    Article  PubMed  Google Scholar 

  58. de Frias CM, Dixon RA, Fisher N, Camicioli R (2007) Intraindividual variability in neurocognitive speed: a comparison of Parkinson’s disease and normal older adults. Neuropsychologia 45:2499–2507

    Article  PubMed  Google Scholar 

  59. de Frias CM, Dixon RA, Camicioli R (2012) Neurocognitive speed and inconsistency in Parkinson’s disease with and without incipient dementia: an 18-month prospective cohort study. J Int Neuropsychol Soc 18:764

    Article  PubMed  PubMed Central  Google Scholar 

  60. Buracchio TJ, Mattek NC, Dodge HH, Hayes TL, Pavel M, Howieson DB, Kaye JA (2011) Executive function predicts risk of falls in older adults without balance impairment. BMC Geriatr 11:74

    Article  PubMed  PubMed Central  Google Scholar 

  61. Dodge H, Mattek N, Austin D, Hayes T, Kaye J (2012) In-home walking speeds and variability trajectories associated with mild cognitive impairment. Neurology 78:1946–1952

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  62. Franssen EH, Somen LE, Torossian CL, Reisberg B (1999) Equilibrium and limb coordination in mild cognitive impairment and mild Alzheimer’s disease. J Am Geriatr Soc 47:463–469

    Article  PubMed  CAS  Google Scholar 

  63. Montero-Odasso M, Oteng-Amoako A, Speechley M, Gopaul K, Beauchet O, Annweiler C, Muir-Hunter SW (2014) The motor signature of mild cognitive impairment: results from the gait and brain study. J Gerontol Ser A Biol Sci Med Sci 69:1415–1421

    Article  Google Scholar 

  64. Verghese J, Wang C, Lipton RB, Holtzer R, Xue X (2007) Quantitative gait dysfunction and risk of cognitive decline and dementia. J Neurol Neurosurg Psychiatry 78:929–935

    Article  PubMed  PubMed Central  Google Scholar 

  65. Wing AM, Keele S, Margolin DI (1984) Motor disorder and the timing of repetitive movements. Ann N Y Acad Sci 423:183–192

    Article  PubMed  CAS  Google Scholar 

  66. Harrington DL, Haaland KY, Hermanowitz N (1998) Temporal processing in the basal ganglia. Neuropsychology 12:3

    Article  PubMed  CAS  Google Scholar 

  67. Manning H, Tremblay F (2006) Age differences in tactile pattern recognition at the fingertip. Somatosens Mot Res 23:147–155

    Article  PubMed  Google Scholar 

  68. Sathian K, Zangaladze A, Green J, Vitek J, DeLong M (1997) Tactile spatial acuity and roughness discrimination: impairments due to aging and Parkinson’s disease. Neurology 49:168–177

    Article  PubMed  CAS  Google Scholar 

  69. Elliott MT, Welchman A, Wing A (2009) Being discrete helps keep to the beat. Exp Brain Res 192:731–737

    Article  PubMed  CAS  Google Scholar 

  70. Catalan MJ, Honda M, Weeks RA, Cohen LG, Hallett M (1998) The functional neuroanatomy of simple and complex sequential finger movements: a PET study. Brain 121:253–264

    Article  PubMed  Google Scholar 

  71. Espay AJ, Beaton DE, Morgante F, Gunraj CA, Lang AE, Chen R (2009) Impairments of speed and amplitude of movement in Parkinson’s disease: a pilot study. Mov Disord 24:1001–1008

    Article  PubMed  Google Scholar 

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Acknowledgements

The authors express appreciation to the research participants and staff of the Penn Memory Center/Clinical Core of the University of Pennsylvania Alzheimer’s Disease Center, the Parkinson’s Disease and Movement Disorders Center at the University of Pennsylvania, the Parkinson’s Disease Research, Education and Clinical Center (PADRECC) at the Philadelphia Veterans Affairs Medical Center and general neurology clinic at the University of Pennsylvania.

Funding

This work was supported by NIA AG10124, NIMH K01 MH102609 (Dr. Roalf), the Marian S. Ware Alzheimer’s Program/National Philanthropic Trust, and the Institute of Aging and Alzheimer’s Disease Core Center Pilot Funding Program (Dr. Roalf). University of Pennsylvania Center of Excellence for Research on Neurodegenerative Diseases (CERND). Penn Udall Center Grant: NINDS P50-NS-053488.

Author information

Authors and Affiliations

  1. Neuropsychiatry Section, Department of Psychiatry, 10th Floor, Gates Building, Hospital of the University of Pennsylvania, University of Pennsylvania Perelman School of Medicine, 3400 Spruce Street, Philadelphia, PA, 19104, USA

    David R. Roalf, Petra Rupert, Daniel Weintraub & Paul J. Moberg

  2. Parkinson’s Disease Research, Education and Clinical Center (PADRECC), Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA, 19104, USA

    John E. Duda, Daniel Weintraub & John Q. Trojanowski

  3. Department of Neurology, University of Pennsylvania Perelman School of Medicine, Philadelphia, USA

    Dawn Mechanic-Hamilton, John E. Duda, Daniel Weintraub, John Q. Trojanowski, David Wolk & Paul J. Moberg

  4. Udall Center for Parkinson’s Research, University of Pennsylvania School of Medicine, Philadelphia, USA

    Daniel Weintraub & John Q. Trojanowski

  5. Department of Pathology and Laboratory Medicine, University of Pennsylvania School of Medicine, Philadelphia, USA

    John Q. Trojanowski

  6. Department of Neurology, Thomas Jefferson University Hospital, Philadelphia, USA

    Laura Brennan

Authors
  1. David R. Roalf
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  2. Petra Rupert
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  3. Dawn Mechanic-Hamilton
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  4. Laura Brennan
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  5. John E. Duda
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  7. John Q. Trojanowski
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  8. David Wolk
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  9. Paul J. Moberg
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Contributions

DRR: drafting/revising the manuscript, study concept or design, analysis or interpretation of data, accepts responsibility for conduct of research, and will give final approval, acquisition of data, statistical analysis, and study supervision. Dr. Roalf takes the role of Principal Investigator, has access to all of the data and takes responsibility for the data, accuracy of data analysis, and conduct of the research. Dr. Roalf will serve as the corresponding author. PR: drafting/revising the manuscript, analysis or interpretation of data, accepts responsibility for conduct of research, and will give final approval, acquisition of data, and statistical analysis. DM-H: study supervision, revising manuscript, accepts responsibility for conduct of research, and will give final approval. LB: study supervision, revising manuscript, accepts responsibility for conduct of research, and will give final approval. JD: study concept or design, accepts responsibility for conduct of research, and will give final approval, study supervision, and obtaining funding. DW: study concept or design, accepts responsibility for conduct of research and will give final approval, study supervision, and obtaining funding. JQT: study concept or design, accepts responsibility for conduct of research, and will give final approval, study supervision, and obtaining funding. DW: study concept or design, accepts responsibility for conduct of research, and will give final approval, study supervision, and obtaining funding. PJM: drafting/revising the manuscript, study concept or design, analysis or interpretation of data, accepts responsibility for conduct of research, and will give final approval, study supervision, and obtaining funding.

Corresponding author

Correspondence to David R. Roalf.

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Ethical standards

This study complies with the ethical standards set forth by the AMA. This data is original, has not previously been published, nor is it under consideration for publication elsewhere. All authors listed on this manuscript have significantly contributed to the implementation, analysis and/or drafting of this manuscript.

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The authors have no conflicts of interest.

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Roalf, D.R., Rupert, P., Mechanic-Hamilton, D. et al. Quantitative assessment of finger tapping characteristics in mild cognitive impairment, Alzheimer’s disease, and Parkinson’s disease. J Neurol 265, 1365–1375 (2018). https://doi.org/10.1007/s00415-018-8841-8

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  • DOI: https://doi.org/10.1007/s00415-018-8841-8

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