Application of Quantitative Motor Assessments in Friedreich Ataxia and Evaluation of Their Relation to Clinical Measures

Friedreich’s ataxia (FRDA) is a rare autosomal-recessive slowly progressive neurodegenerative disorder. As common clinical measures for this devastating disease lack sensitivity, we explored whether (a) the quantitative motor assessments of the Q-Motor battery can enhance clinical characterisation of FRDA; (b) clinical measures can predict Q-Motor outcomes and (c) Q-Motor is sensitive to longitudinal change. At baseline 29 patients and 23 controls and in a 1-year follow-up 14 patients and 6 controls were included. The Q-Motor included lift (manumotography), finger tapping (digitomotography) and pronate/supinate (dysdiadochomotography) tasks. To model responses, a search of generalised linear models was conducted, selecting best fitting models, using demographic and clinical data as predictors. Predictors from selected models were used in linear mixed models to investigate longitudinal changes. Patients with FRDA performed worse than controls on most measures. Modelling of the pronate/supinate task was dominated by SCAFI (SCA functional index) subtasks, while tapping task and lift task models suggested a complex relationship with clinical measures. Longitudinal modelling implied minor changes from baseline to follow-up, while clinical scales mainly showed no change in this sample. Overall Q-Motor likely has favourable properties for assessing distinct motor aspects in severe FRDA as it can be administered in wheelchair-bound patients. Further longitudinal research is warranted to fully characterise its relation to routinely used measures and scales for FRDA.

[1]  R. Reilmann,et al.  Motor outcome measures in Huntington disease clinical trials. , 2017, Handbook of clinical neurology.

[2]  Jeroen van der Grond,et al.  Early changes in white matter pathways of the sensorimotor cortex in premanifest Huntington's disease , 2012, Human brain mapping.

[3]  R Core Team,et al.  R: A language and environment for statistical computing. , 2014 .

[4]  M. Pandolfo,et al.  Friedreich ataxia: The clinical picture , 2009, Journal of Neurology.

[5]  Chris Frost,et al.  Predictors of phenotypic progression and disease onset in premanifest and early-stage Huntington's disease in the TRACK-HD study: analysis of 36-month observational data , 2013, The Lancet Neurology.

[6]  L. Corben,et al.  A comparison of three measures of upper limb function in Friedreich ataxia , 2010, Journal of Neurology.

[7]  Yasuhiro Kagamihara,et al.  A New Method for Functional Evaluation of Motor Commands in Patients with Cerebellar Ataxia , 2015, PloS one.

[8]  C. Gomes,et al.  Neurodegeneration in Friedreich's Ataxia: From Defective Frataxin to Oxidative Stress , 2013, Oxidative medicine and cellular longevity.

[9]  Vincent Calcagno,et al.  glmulti: An R Package for Easy Automated Model Selection with (Generalized) Linear Models , 2010 .

[10]  C. Trotti,et al.  Quantitative evaluation of functional limitation of upper limb movements in subjects affected by ataxia , 2009, European journal of neurology.

[11]  A. Gordon,et al.  Coordination of Prehensile Forces during Precision Grip in Huntington's Disease , 2000, Experimental Neurology.

[12]  Ron Kohavi,et al.  A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection , 1995, IJCAI.

[13]  A. Durr,et al.  Nonataxia symptoms in Friedreich Ataxia , 2018, Neurology.

[14]  A. Koeppen,et al.  Friedreich Ataxia: Hypoplasia of Spinal Cord and Dorsal Root Ganglia , 2017, Journal of neuropathology and experimental neurology.

[15]  Slobodan Jaric,et al.  Impaired object manipulation in mildly involved individuals with multiple sclerosis. , 2008, Motor control.

[16]  R. Reilmann,et al.  Grasping premanifest Huntington's disease – shaping new endpoints for new trials , 2010, Movement disorders : official journal of the Movement Disorder Society.

[17]  S J Tabrizi,et al.  Tapping linked to function and structure in premanifest and symptomatic Huntington disease , 2010, Neurology.

[18]  Paola Giunti,et al.  Biological and clinical characteristics of the European Friedreich's Ataxia Consortium for Translational Studies (EFACTS) cohort: a cross-sectional analysis of baseline data , 2015, The Lancet Neurology.

[19]  R. Reilmann,et al.  Quantitative motor assessment of muscular weakness in myasthenia gravis: a pilot study , 2015, BMC Neurology.

[20]  R. Reilmann,et al.  Digitomotography in Parkinson’s Disease: A Cross-Sectional and Longitudinal Study , 2015, PloS one.

[21]  H. Akaike A new look at the statistical model identification , 1974 .

[22]  A. Gordon,et al.  Objective assessment of progression in Huntington’s disease: A 3-year follow-up study , 2001, Neurology.

[23]  Clifford M. Hurvich,et al.  Regression and time series model selection in small samples , 1989 .

[24]  S. Tabrizi,et al.  Cerebellar abnormalities in Huntington's disease: A role in motor and psychiatric impairment? , 2014, Movement disorders : official journal of the Movement Disorder Society.

[25]  R. Reilmann,et al.  Quantitative Measurements of Motor Function in Alzheimer’s Disease, Frontotemporal Dementia, and Dementia with Lewy Bodies: A Proof-of-Concept Study , 2018, Dementia and Geriatric Cognitive Disorders.

[26]  P. Vankan Prevalence gradients of Friedreich's Ataxia and R1b haplotype in Europe co‐localize, suggesting a common Palaeolithic origin in the Franco‐Cantabrian ice age refuge , 2013, Journal of neurochemistry.

[27]  Yurii B. Shvetsov,et al.  Common Genetic Variation In Cellular Transport Genes and Epithelial Ovarian Cancer (EOC) Risk , 2015, PloS one.

[28]  D. Bates,et al.  Fitting Linear Mixed-Effects Models Using lme4 , 2014, 1406.5823.

[29]  K. Bürk Friedreich Ataxia: current status and future prospects , 2017, Cerebellum & Ataxias.

[30]  D. Timmann,et al.  Progression characteristics of the European Friedreich’s Ataxia Consortium for Translational Studies (EFACTS): a 2 year cohort study , 2016, The Lancet Neurology.

[31]  D. Timmann,et al.  Structural characteristics of the central nervous system in Friedreich ataxia: an in vivo spinal cord and brain MRI study , 2018, Journal of Neurology, Neurosurgery, and Psychiatry.

[32]  L. Corben,et al.  Clinical Features of Friedreich Ataxia , 2012, Journal of child neurology.

[33]  R. Reilmann,et al.  A randomized, placebo‐controlled trial of AFQ056 for the treatment of chorea in Huntington's disease , 2015, Movement disorders : official journal of the Movement Disorder Society.

[34]  H. Schielzeth,et al.  The coefficient of determination R2 and intra-class correlation coefficient from generalized linear mixed-effects models revisited and expanded , 2016, bioRxiv.

[35]  Deficits in tongue motor control are linked to microstructural brain damage in multiple sclerosis: a pilot study , 2015, BMC Neurology.

[36]  M. Ruberg,et al.  Composite cerebellar functional severity score: validation of a quantitative score of cerebellar impairment. , 2008, Brain : a journal of neurology.

[37]  Satterthwaite Fe An approximate distribution of estimates of variance components. , 1946 .

[38]  R. Reilmann,et al.  Quantitative motor assessment of dyskinesias in Parkinson’s disease , 2015, Journal of Neural Transmission.

[39]  Stefano Rossi,et al.  Robotic and clinical evaluation of upper limb motor performance in patients with Friedreich’s Ataxia: an observational study , 2015, Journal of NeuroEngineering and Rehabilitation.

[40]  Lori-Ann R. Sacrey,et al.  Proximal movements compensate for distal forelimb movement impairments in a reach-to-eat task in Huntington's disease: New insights into motor impairments in a real-world skill , 2011, Neurobiology of Disease.

[41]  Christiane,et al.  World Medical Association Declaration of Helsinki: ethical principles for medical research involving human subjects. , 2013, JAMA.

[42]  Ian Butterworth,et al.  Computer keyboard interaction as an indicator of early Parkinson’s disease , 2016, Scientific Reports.

[43]  Inventory of Non-Ataxia Signs (INAS): Validation of a New Clinical Assessment Instrument , 2013, The Cerebellum.

[44]  R. Reilmann,et al.  Grasping multiple sclerosis: do quantitative motor assessments provide a link between structure and function? , 2012, Journal of Neurology.

[45]  P. Patel,et al.  Friedreich's Ataxia: Autosomal Recessive Disease Caused by an Intronic GAA Triplet Repeat Expansion , 1996, Science.

[46]  K. Nagashima,et al.  International Biometric Society , 2006 .

[47]  Hajime Otani,et al.  Erratum to “Site-Specific Antioxidative Therapy for Prevention of Atherosclerosis and Cardiovascular Disease” , 2013, Oxidative Medicine and Cellular Longevity.

[48]  L. Baliko,et al.  Scale for the assessment and rating of ataxia , 2006, Neurology.

[49]  S. Tezenas du Montcel,et al.  Friedreich and dominant ataxias: quantitative differences in cerebellar dysfunction measurements , 2017, Journal of Neurology, Neurosurgery, and Psychiatry.

[50]  Stéphane Lehéricy,et al.  Clinical impairment in premanifest and early Huntington's disease is associated with regionally specific atrophy , 2011, Human brain mapping.

[51]  T. Ichida World Medical Association declaration of Helsinki , 1991, Gastroenterologia Japonica.

[52]  R. C. Oldfield The assessment and analysis of handedness: the Edinburgh inventory. , 1971, Neuropsychologia.

[53]  Soichi Nagao,et al.  Quantitative Evaluation of Human Cerebellum-Dependent Motor Learning through Prism Adaptation of Hand-Reaching Movement , 2015, PloS one.

[54]  Vittorio Sanguineti,et al.  Cerebellar ataxia: quantitative assessment and cybernetic interpretation. , 2003, Human movement science.

[55]  F. E. Satterthwaite An approximate distribution of estimates of variance components. , 1946, Biometrics.

[56]  D. Timmann,et al.  SCA Functional Index , 2008, Neurology.