{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,14]],"date-time":"2026-10-14T08:31:58Z","timestamp":1791966718100,"version":"4.3.4"},"reference-count":62,"publisher":"MDPI AG","issue":"11","license":[{"start":{"date-parts":[[2022,10,29]],"date-time":"2022-10-29T00:00:00Z","timestamp":1667001600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001711","name":"Swiss National Science Foundation","doi-asserted-by":"publisher","award":["CRSII5_202228"],"award-info":[{"award-number":["CRSII5_202228"]}],"id":[{"id":"10.13039\/501100001711","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001711","name":"Swiss National Science Foundation","doi-asserted-by":"publisher","award":["CRSII5_173711"],"award-info":[{"award-number":["CRSII5_173711"]}],"id":[{"id":"10.13039\/501100001711","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001711","name":"Swiss National Science Foundation","doi-asserted-by":"publisher","award":["CRSII5_202228"],"award-info":[{"award-number":["CRSII5_202228"]}],"id":[{"id":"10.13039\/501100001711","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001711","name":"Swiss National Science Foundation","doi-asserted-by":"publisher","award":["CRSII5_173711"],"award-info":[{"award-number":["CRSII5_173711"]}],"id":[{"id":"10.13039\/501100001711","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Brain Sciences"],"abstract":"<jats:p>For the clinical assessment of motor speech disorders (MSDs) in French, the MonPaGe-2.0.s protocol has been shown to be sensitive enough to diagnose mild MSD based on a combination of acoustic and perceptive scores. Here, we go a step further by investigating whether these scores\u2014which capture deviance on intelligibility, articulation, voice, speech rate, maximum phonation time, prosody, diadochokinetic rate\u2014contribute to the differential diagnosis of MSDs. To this aim, we trained decision trees for two-class automatic classification of different pairs of MSD subtypes based on seven deviance scores that are computed in MonPaGe-2.0.s against matched normative data. We included 60 speakers with mild to moderate MSD from six neuropathologies (amyotrophic lateral sclerosis, Wilson, Parkinson and Kennedy disease, spinocerebellar ataxia, post-stroke apraxia of speech). The two-class classifications relied mainly on deviance scores from four speech dimensions and predicted with over 85% accuracy the patient\u2019s correct clinical category for ataxic, hypokinetic and flaccid dysarthria; classification of the other groups (apraxia of speech and mixed dysarthria) was slightly lower (79% to 82%). Although not perfect and only tested on small cohorts so far, the classification with deviance scores based on clinically informed features seems promising for MSD assessment and classification.<\/jats:p>","DOI":"10.3390\/brainsci12111471","type":"journal-article","created":{"date-parts":[[2022,10,29]],"date-time":"2022-10-29T23:45:00Z","timestamp":1667087100000},"page":"1471","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":11,"title":["Differentiation of Motor Speech Disorders through the Seven Deviance Scores from MonPaGe-2.0.s"],"prefix":"10.3390","volume":"12","author":[{"given":"C\u00e9cile","family":"Fougeron","sequence":"first","affiliation":[{"name":"Laboratoire de Phon\u00e9tique et Phonologie, UMR7018 CNRS\/Universit\u00e9 Sorbonne-Nouvelle, 75005 Paris, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1747-1322","authenticated-orcid":false,"given":"Ina","family":"Kodrasi","sequence":"additional","affiliation":[{"name":"Signal Processing for Communication Group, Idiap Research Institute, 1920 Martigny, Switzerland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4054-0939","authenticated-orcid":false,"given":"Marina","family":"Laganaro","sequence":"additional","affiliation":[{"name":"Faculty of Psychology and Educational Science, University of Geneva, 1205 Geneva, Switzerland"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2022,10,29]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"47","DOI":"10.3109\/02699209808985212","article-title":"Models, Theories and Heuristics in Apraxia of Speech","volume":"12","author":"Code","year":"1998","journal-title":"Clin. Linguist. Phon."},{"key":"ref_2","unstructured":"Darley, F.L., Aronson, A.E., and Brown, J.R. (1975). Motor Speech Disorders, WB Saunders Company."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"397","DOI":"10.1080\/02687038.2020.1765306","article-title":"New Perspectives on Speech Motor Planning and Programming in the Context of the Four- Level Model and Its Implications for Understanding the Pathophysiology Underlying Apraxia of Speech and Other Motor Speech Disorders","volume":"35","year":"2021","journal-title":"Aphasiology"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"631","DOI":"10.1080\/01690960802327989","article-title":"Modelling the Architecture of Phonetic Plans: Evidence from Apraxia of Speech","volume":"24","author":"Ziegler","year":"2009","journal-title":"Lang. Cogn. Process."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"424","DOI":"10.1080\/02687038.2020.1765307","article-title":"Modelling Speech Motor Programming and Apraxia of Speech in the DIVA\/GODIVA Neurocomputational Framework","volume":"35","author":"Miller","year":"2021","journal-title":"Aphasiology"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"462","DOI":"10.1044\/jshr.1203.462","article-title":"Clusters of Deviant Speech Dimensions in the Dysarthrias","volume":"12","author":"Darley","year":"1969","journal-title":"J. Speech Hear. Res."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"246","DOI":"10.1044\/jshr.1202.246","article-title":"Differential Diagnostic Patterns of Dysarthria","volume":"12","author":"Darley","year":"1969","journal-title":"J. Speech Hear. Res."},{"key":"ref_8","unstructured":"Duffy, J.R. (2019). Motor Speech Disorders E-Book: Substrates, Differential Diagnosis, and Management, Elsevier Health Sciences."},{"key":"ref_9","unstructured":"McNeil, M.R. (2009). Clinical Management of Sensorimotor Speech Disorders, Thieme."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"875","DOI":"10.1111\/1460-6984.12494","article-title":"Use of Diverse Diagnostic Criteria for Acquired Apraxia of Speech: A Scoping Review","volume":"54","author":"Molloy","year":"2019","journal-title":"Int. J. Lang. Commun. Disord."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"1481","DOI":"10.1044\/1092-4388(2007\/102)","article-title":"Listener Agreement for Auditory-Perceptual Ratings of Dysarthria","volume":"50","author":"Bunton","year":"2007","journal-title":"J. Speech Lang. Hear. Res."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"7","DOI":"10.1044\/1058-0360.0503.07","article-title":"Hearing and Believing: Some Limits to the Auditory-Perceptual Assessment of Speech and Voice Disorders","volume":"5","author":"Kent","year":"1996","journal-title":"Am. J. Speech Lang. Pathol."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"1545","DOI":"10.1007\/s00415-008-0978-4","article-title":"Accuracy and Inter-Observer Variation in the Classification of Dysarthria from Speech Recordings","volume":"255","author":"Fonville","year":"2008","journal-title":"J. Neurol."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"295","DOI":"10.1159\/000206855","article-title":"Clinical Identification of Dysarthria Types among Neurologists, Residents in Neurology and Speech Therapists","volume":"61","author":"Kuiper","year":"2009","journal-title":"Eur. Neurol."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"367","DOI":"10.1016\/0021-9924(87)90025-6","article-title":"Identification of Dysarthria Types Based on Perceptual Analysis","volume":"20","author":"Zyski","year":"1987","journal-title":"J. Commun. Disord."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"2727","DOI":"10.1044\/2022_JSLHR-21-00519","article-title":"Perceptual Classification of Motor Speech Disorders: The Role of Severity, Speech Task, and Listener\u2019s Expertise","volume":"65","author":"Pernon","year":"2022","journal-title":"J. Speech Lang. Hear. Res."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"141","DOI":"10.1016\/S0021-9924(99)00004-0","article-title":"Acoustic Studies of Dysarthric Speech: Methods, Progress, and Potential","volume":"32","author":"Kent","year":"1999","journal-title":"J. Commun. Disord."},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Papakyritsis, I. (2021). Acoustic Phonetics for the Speech Clinician. Manual of Clinical Phonetics, Routledge.","DOI":"10.4324\/9780429320903-2"},{"key":"ref_19","unstructured":"Fougeron, C., Delvaux, V., Menard, L., and Laganaro, M. (2018, January 7\u201312). The MonPaGe_HA Database for the Documentation of Spoken French throughout Adulthood. Proceedings of the Eleventh International Conference on Language Resources and \u00c9valuation (LREC 2018), Myazaki, Japan."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"1060","DOI":"10.1080\/02699206.2020.1865460","article-title":"Sensitivity and Specificity of an Acoustic- and Perceptual-Based Tool for Assessing Motor Speech Disorders in French: The MonPaGe-Screening Protocol","volume":"35","author":"Laganaro","year":"2021","journal-title":"Clin. Linguist. Phon."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"2171","DOI":"10.1121\/1.4816541","article-title":"Imprecise Vowel Articulation as a Potential Early Marker of Parkinson\u2019s Disease: Effect of Speaking Task","volume":"134","author":"Rusz","year":"2013","journal-title":"J. Acoust. Soc. Am."},{"key":"ref_22","first-page":"1","article-title":"Suitability of Dysphonia Measurements for Telemonitoring of Parkinson\u2019s Disease","volume":"1","author":"Little","year":"2008","journal-title":"Nat. Preced."},{"key":"ref_23","doi-asserted-by":"crossref","unstructured":"Sztah\u00f3, D., Kiss, G., and Vicsi, K. (2015, January 6\u201310). Estimating the Severity of Parkinson\u2019s Disease from Speech Using Linear Regression and Database Partitioning. Proceedings of the Sixteenth Annual Conference of the International Speech Communication Association, Dresden, Germany.","DOI":"10.21437\/Interspeech.2015-183"},{"key":"ref_24","doi-asserted-by":"crossref","unstructured":"Wang, J., Kothalkar, P.V., Cao, B., and Heitzman, D. (2016, January 8\u201312). Towards Automatic Detection of Amyotrophic Lateral Sclerosis from Speech Acoustic and Articulatory Samples. Proceedings of the Interspeech, San Francisco, CA, USA.","DOI":"10.21437\/Interspeech.2016-1542"},{"key":"ref_25","doi-asserted-by":"crossref","unstructured":"Hemmerling, D., Orozco-Arroyave, J.R., Skalski, A., Gajda, J., and N\u00f6th, E. (2016, January 8\u201312). Automatic Detection of Parkinson\u2019s Disease Based on Modulated Vowels. Proceedings of the Interspeech, San Francisco, CA, USA.","DOI":"10.21437\/Interspeech.2016-1062"},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"1210","DOI":"10.1109\/TASLP.2020.2985066","article-title":"Spectro-Temporal Sparsity Characterization for Dysarthric Speech Detection","volume":"28","author":"Kodrasi","year":"2020","journal-title":"IEEE\/ACM Trans. Audio Speech Lang. Process."},{"key":"ref_27","unstructured":"Kodrasi, I., and Bourlard, H. (2018, January 10\u201312). Statistical Modeling of Speech Spectral Coefficients in Patients with Parkinson\u2019s Disease. Proceedings of the Speech Communication, 13th ITG-Symposium, Oldenburg, Germany."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"96","DOI":"10.1109\/LSP.2020.3044503","article-title":"Subspace-Based Learning for Automatic Dysarthric Speech Detection","volume":"28","author":"Janbakhshi","year":"2020","journal-title":"IEEE Signal Process. Lett."},{"key":"ref_29","doi-asserted-by":"crossref","unstructured":"Kodrasi, I., Pernon, M., Laganaro, M., and Bourlard, H. (2020, January 25\u201329). Automatic Discrimination of Apraxia of Speech and Dysarthria Using a Minimalistic Set of Handcrafted Features. Proceedings of the INTERSPEECH, Shanghai, China.","DOI":"10.21437\/Interspeech.2020-2253"},{"key":"ref_30","doi-asserted-by":"crossref","unstructured":"Kodrasi, I., Pernon, M., Laganaro, M., and Bourlard, H. (2021, January 6\u201311). Automatic and Perceptual Discrimination between Dysarthria, Apraxia of Speech, and Neurotypical Speech. Proceedings of the ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Toronto, ON, Canada.","DOI":"10.1109\/ICASSP39728.2021.9414283"},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"57","DOI":"10.1044\/1092-4388(2013\/12-0262)","article-title":"Vowel Acoustics in Dysarthria: Speech Disorder Diagnosis and Classification","volume":"57","author":"Lansford","year":"2014","journal-title":"J. Speech Lang. Hear. Res."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"1246","DOI":"10.1044\/1092-4388(2010\/09-0121)","article-title":"Discriminating Dysarthria Type from Envelope Modulation Spectra","volume":"53","author":"Liss","year":"2010","journal-title":"J. Speech Lang. Hear. Res."},{"key":"ref_33","doi-asserted-by":"crossref","unstructured":"Illa, A., Patel, D., Yamini, B., Shivashankar, N., Veeramani, P.-K., Polavarapui, K., Nashi, S., Nalini, A., and Ghosh, P.K. (2018, January 15\u201320). Comparison of Speech Tasks for Automatic Classification of Patients with Amyotrophic Lateral Sclerosis and Healthy Subjects. Proceedings of the 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Calgary, AB, Canada.","DOI":"10.1109\/ICASSP.2018.8461836"},{"key":"ref_34","unstructured":"Auzou, P., and Rolland-Monnoury, V. (2006). BECD: Batterie d\u2019\u00e9valuation Clinique de La Dysarthrie, Ortho Edition."},{"key":"ref_35","unstructured":"Boersma, P. (2021, March 15). Praat: Doing Phonetics by Computer [Computer Program]. Available online: http:\/\/www.praat.org\/."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"556","DOI":"10.1006\/brln.2001.2614","article-title":"Task-Related Factors in Oral Motor Control: Speech and Oral Diadochokinesis in Dysarthria and Apraxia of Speech","volume":"80","author":"Ziegler","year":"2002","journal-title":"Brain Lang."},{"key":"ref_37","doi-asserted-by":"crossref","unstructured":"Sammut, C., and Webb, G.I. (2011). Decision Tree. Encyclopedia of Machine Learning, Springer.","DOI":"10.1007\/978-0-387-30164-8"},{"key":"ref_38","first-page":"2825","article-title":"Scikit-Learn: Machine Learning in Python","volume":"12","author":"Pedregosa","year":"2011","journal-title":"J. Mach. Learn. Res."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"317","DOI":"10.1016\/j.bandl.2013.10.002","article-title":"Speech in Spinocerebellar Ataxia","volume":"127","author":"Schalling","year":"2013","journal-title":"Brain Lang."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"31","DOI":"10.1080\/14015430600789203","article-title":"Perceptual and Acoustic Analysis of Speech in Individuals with Spinocerebellar Ataxia (SCA)","volume":"32","author":"Schalling","year":"2007","journal-title":"Logop. Phoniatr. Vocology"},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"478","DOI":"10.1016\/j.jcomdis.2011.03.002","article-title":"Speech Characteristics Associated with Three Genotypes of Ataxia","volume":"44","author":"Sidtis","year":"2011","journal-title":"J. Commun. Disord."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"1446","DOI":"10.1093\/brain\/awl096","article-title":"Natural History of Spinal and Bulbar Muscular Atrophy (SBMA): A Study of 223 Japanese Patients","volume":"129","author":"Atsuta","year":"2006","journal-title":"Brain"},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"1767","DOI":"10.1044\/2022_JSLHR-21-00434","article-title":"Acoustic Change Over Time in Spastic and\/or Flaccid Dysarthria in Motor Neuron Diseases","volume":"65","author":"Slis","year":"2022","journal-title":"J. Speech Lang. Hear. Res."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"193","DOI":"10.1016\/j.jns.2013.12.010","article-title":"Distinct Acoustic Features in Spinal and Bulbar Muscular Atrophy Patients with Laryngospasm","volume":"337","author":"Tanaka","year":"2014","journal-title":"J. Neurol. Sci."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"116503","DOI":"10.1016\/j.jns.2019.116503","article-title":"Nasometric Scores in Spinal and Bulbar Muscular Atrophy-Effects of Palatal Lift Prosthesis on Dysarthria and Dysphagia","volume":"407","author":"Tanaka","year":"2019","journal-title":"J. Neurol. Sci."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"255","DOI":"10.1212\/WNL.0000000000000041","article-title":"Tongue Pressure as a Novel Biomarker of Spinal and Bulbar Muscular Atrophy","volume":"82","author":"Mano","year":"2014","journal-title":"Neurology"},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"502","DOI":"10.1016\/j.neurol.2012.12.003","article-title":"Le d\u00e9bit de parole du patient wilsonien dysarthrique peut-il \u00eatre am\u00e9lior\u00e9 en condition de double t\u00e2che ?","volume":"169","author":"Pernon","year":"2013","journal-title":"Rev. Neurol."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"2952","DOI":"10.1044\/2020_JSLHR-20-00061","article-title":"Differential Diagnosis of Apraxia of Speech in Children and Adults: A Scoping Review","volume":"63","author":"Allison","year":"2020","journal-title":"J. Speech Lang. Hear. Res."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"261","DOI":"10.1159\/000495784","article-title":"Higher-Faster-Farther: Maximum Performance Tests in the Assessment of Neurogenic Speech Impairment","volume":"71","author":"Ziegler","year":"2019","journal-title":"Folia Phoniatr. Logop."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"281","DOI":"10.1016\/j.jvoice.2008.10.004","article-title":"Maximum Phonation Time: Variability and Reliability","volume":"24","author":"Speyer","year":"2010","journal-title":"J. Voice"},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"709","DOI":"10.1016\/j.jvoice.2010.10.002","article-title":"Maximum Phonation Time in Healthy Older Adults","volume":"25","author":"Maslan","year":"2011","journal-title":"J. Voice"},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"545","DOI":"10.1016\/j.jvoice.2013.03.002","article-title":"Normative Voice Data for Younger and Older Adults","volume":"27","author":"Goy","year":"2013","journal-title":"J. Voice"},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"763","DOI":"10.1044\/2015_AJSLP-14-0179","article-title":"Nonspeech Oral Movements and Oral Motor Disorders: A Narrative Review","volume":"24","author":"Kent","year":"2015","journal-title":"Am. J. Speech Lang. Pathol."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1080\/729254892","article-title":"Speech Motor Control Is Task-Specific: Evidence from Dysarthria and Apraxia of Speech","volume":"17","author":"Ziegler","year":"2003","journal-title":"Aphasiology"},{"key":"ref_55","doi-asserted-by":"crossref","unstructured":"Lancheros, M., Pernon, M., and Laganaro, M. (2022). Is There a Continuum between Speech and Other Oromotor Tasks? Evidence from Motor Speech Disorders. Aphasiology, 1\u201320.","DOI":"10.1080\/02687038.2022.2038367"},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"251","DOI":"10.1159\/000498851","article-title":"How Well Does Diadochokinetic Task Performance Predict Articulatory Imprecision? Differentiating Individuals with Parkinson\u2019s Disease from Control Subjects","volume":"71","author":"Karlsson","year":"2019","journal-title":"Folia Phoniatr. Logop."},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"1329","DOI":"10.1212\/WNL.0000000000002550","article-title":"Two Different Phenomena in Basic Motor Speech Performance in Premanifest Huntington Disease","volume":"86","author":"Skodda","year":"2016","journal-title":"Neurology"},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1159\/000184539","article-title":"Analysis of Diadochokinesis in Ataxic Dysarthria Using the Motor Speech Profile ProgramTM","volume":"61","author":"Wang","year":"2009","journal-title":"Folia Phoniatr. Logop."},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"321","DOI":"10.1006\/jpho.2001.0163","article-title":"Speech Motor Programming in Apraxia of Speech","volume":"30","author":"Deger","year":"2002","journal-title":"J. Phon."},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"40","DOI":"10.1016\/j.neuropsychologia.2016.12.010","article-title":"Dissociating Oral Motor Capabilities: Evidence from Patients with Movement Disorders","volume":"95","author":"Staiger","year":"2017","journal-title":"Neuropsychologia"},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"24","DOI":"10.1016\/j.cortex.2015.04.001","article-title":"How Much Is a Word? Predicting Ease of Articulation Planning from Apraxic Speech Error Patterns","volume":"69","author":"Ziegler","year":"2015","journal-title":"Cortex"},{"key":"ref_62","doi-asserted-by":"crossref","first-page":"145","DOI":"10.1016\/j.wocn.2016.10.002","article-title":"When Words Don\u05f3t Come Easily: A Latent Trait Analysis of Impaired Speech Motor Planning in Patients with Apraxia of Speech","volume":"64","author":"Ziegler","year":"2017","journal-title":"J. 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