Automated analysis of connected speech reveals early biomarkers of Parkinson’s disease in patients with rapid eye movement sleep behaviour disorder

G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences

Faul, F., Erdfelder, E., Lang, A.-G., & Buchner, A. (2007) · Behavior Research Methods · doi:10.3758/bf03193146 · Cited by 65,971 · see citing works

Accuracy of clinical diagnosis of idiopathic Parkinson's disease: a clinico-pathological study of 100 cases.

Hughes, A. J., Daniel, S. E., Kilford, L., & Lees, A. J. (1992) · Journal of Neurology, Neurosurgery & Psychiatry · doi:10.1136/jnnp.55.3.181 · Cited by 10,378 · see citing works

Speaking: From Intention to Articulation

Levelt, W. J. M. (1989) · doi:10.7551/mitpress/6393.001.0001 · Cited by 4,804 · see citing works

Praat, a system for doing phonetics by computer

Boersma, P. (2002) · UvA-DARE (University of Amsterdam) · Cited by 4,417 · see citing works

Epidemiology of Parkinson's disease

de Lau, L. M., & Breteler, M. M. (2006) · The Lancet Neurology · doi:10.1016/s1474-4422(06)70471-9 · Cited by 4,110 · see citing works

The International Telecommunication Union

Jones, R. W. (2002) · Digest - IEEE Antennas and Propagation Society. International Symposium · doi:10.1109/aps.1997.631791 · Cited by 1,910 · see citing works

Differential diagnostic patterns of dysarthria

Darley, F. L., Aronson, A. E., & Brown, J. R. (1969) · Journal of Speech and Hearing Research · doi:10.1044/jshr.1202.246 · Cited by 1,323 · see citing works

MDS research criteria for prodromal Parkinson's disease

Berg, D., Postuma, R. B., Adler, C. H., Bloem, B. R., Chan, P., Dubois, B., Gasser, T., Goetz, C. G., Halliday, G. M., Joseph, L., et al. (2015) · Movement Disorders · doi:10.1002/mds.26431 · Cited by 1,317 · see citing works

Correlates of linguistic rhythm in the speech signal

Ramus, F., Nespor, M., & Mehler, J. (1999) · Cognition · doi:10.1016/s0010-0277(99)00058-x · Cited by 1,281 · see citing works

Suitability of Dysphonia Measurements for Telemonitoring of Parkinson's DiseasePreprint

Little, M. A., McSharry, P., Hunter, E. J., Spielman, J. L., & Ramig, L. O. (2008) · Nature Precedings · doi:10.1109/tbme.2008.2005954 · Cited by 1,194 · see citing works

Speech Impairment in a Large Sample of Patients with Parkinson’s Disease

Ho, A. K., Iansek, R., Marigliani, C., Bradshaw, J. L., & Gates, S. (1999) · Behavioural Neurology · doi:10.1155/1999/327643 · Cited by 685 · see citing works

Identifying prodromal Parkinson's disease: Pre‐Motor disorders in Parkinson's disease

Postuma, R. B., Aarsland, D., Barone, P., Burn, D. J., Hawkes, C. H., Oertel, W. H., & Ziemssen, T. (2012) · Movement Disorders · doi:10.1002/mds.24996 · Cited by 615 · see citing works

DISTURBANCE OF SEQUENTIAL MOVEMENTS IN PATIENTS WITH PARKINSON'S DISEASE

Benecke, R., Rothwell, J. C., Dick, J., Day, B. L., & MARSDEN, C. D. (1987) · Brain · doi:10.1093/brain/110.2.361 · Cited by 514 · see citing works

Quantitative acoustic measurements for characterization of speech and voice disorders in early untreated Parkinson’s disease

Rusz, J., Čmejla, R., Ruzickova, H., & Růžička, E. (2011) · The Journal of the Acoustical Society of America · doi:10.1121/1.3514381 · Cited by 498 · see citing works

Parkinson risk in idiopathic REM sleep behavior disorder

Postuma, R. B., Gagnon, J., Bertrand, J., Marchand, D. G., & Montplaisir, J. Y. (2015) · Neurology · doi:10.1212/wnl.0000000000001364 · Cited by 436 · see citing works

How does parkinsonism start? Prodromal parkinsonism motor changes in idiopathic REM sleep behaviour disorder.

Postuma, R., Lang, A.-E., Gagnon, J., Pelletier, A., & Montplaisir, J. (2012) · Brain : a journal of neurology · doi:10.1093/brain/aws093 · Cited by 352 · see citing works

Rapid eye movement sleep behavior disorder: devising controlled active treatment studies for symptomatic and neuroprotective therapy—a consensus statement from the International Rapid Eye Movement Sleep Behavior Disorder Study Group

Schenck, C. H., Montplaisir, J. Y., Frauscher, B., Högl, B., Gagnon, J., Postuma, R. B., Šonka, K., Jennum, P., Partinen, M., Arnulf, I., et al. (2013) · Sleep Medicine · doi:10.1016/j.sleep.2013.02.016 · Cited by 236 · see citing works

Speech rate and rhythm in Parkinson's disease

Skodda, S., & Schlegel, U. S. (2008) · Movement Disorders · doi:10.1002/mds.21996 · Cited by 232 · see citing works

Factor structure of the unified Parkinson's disease rating scale: Motor examination section

Stebbins, G. T., & Goetz, C. G. (1998) · Movement Disorders · doi:10.1002/mds.870130404 · Cited by 201 · see citing works

Rapid eye movement sleep behavior disorder and subtypes of Parkinson's disease

Romenets, S. R., Gagnon, J., Latreille, V., Panisset, M., Chouinard, S., Montplaisir, J. Y., & Postuma, R. B. (2012) · Movement Disorders · doi:10.1002/mds.25086 · Cited by 188 · see citing works

Multiple Factors Are Involved in the Dysarthria Associated With Parkinson's Disease: A Review With Implications for Clinical Practice and Research

Sapir, S. (2014) · Journal of Speech Language and Hearing Research · doi:10.1044/2014_jslhr-s-13-0039 · Cited by 184 · see citing works

Progression of Voice and Speech Impairment in the Course of Parkinson's Disease: A Longitudinal Study

Skodda, S., Grönheit, W., Mancinelli, N., & Schlegel, U. S. (2013) · Parkinson s Disease · doi:10.1155/2013/389195 · Cited by 179 · see citing works

Speech volume regulation in Parkinson’s disease: effects of implicit cues and explicit instructions

Ho, A. K., Bradshaw, J. L., Iansek, R., & Alfredson, R. J. (1999) · Neuropsychologia · doi:10.1016/s0028-3932(99)00067-6 · Cited by 172 · see citing works

Automatic Evaluation of Articulatory Disorders in Parkinson’s Disease

Novotný, M., Rusz, J., Čmejla, R., & Růžička, E. (2014) · IEEE/ACM Transactions on Audio Speech and Language Processing · doi:10.1109/taslp.2014.2329734 · Cited by 158 · see citing works

Basal ganglia dysfunction in idiopathic REM sleep behaviour disorder parallels that in early Parkinson’s disease

Rolinski, M., Griffanti, L., Piccini, P. P., Roussakis, A., Szewczyk‐Królikowski, K., Menke, R., Quinnell, T. G., Zaiwalla, Z., Klein, J. C., Mackay, C. E., et al. (2016) · Brain · doi:10.1093/brain/aww124 · Cited by 135 · see citing works

Speech and pause characteristics following speech rate reduction in hypokinetic dysarthria

Hammen, V. L., & Yorkston, K. M. (1996) · Journal of Communication Disorders · doi:10.1016/0021-9924(95)00037-2 · Cited by 122 · see citing works

Perceptual Measures of Speech From Individuals With Parkinson’s Disease and Multiple Sclerosis: Intelligibility and Beyond

Sussman, J. E., & Tjaden, K. (2012) · Journal of Speech Language and Hearing Research · doi:10.1044/1092-4388(2011/11-0048 · Cited by 106 · see citing works

Speech motor programming in hypokinetic and ataxic dysarthria

Spencer, K. A., & Rogers, M. A. (2005) · Brain and Language · doi:10.1016/j.bandl.2005.01.008 · Cited by 105 · see citing works

Quantitative assessment of motor speech abnormalities in idiopathic rapid eye movement sleep behaviour disorder

Rusz, J., Hlavnička, J., Tykalová, T., Bušková, J., Ulmanová, O., Růžička, E., & Šonka, K. (2016) · Sleep Medicine · doi:10.1016/j.sleep.2015.07.030 · Cited by 94 · see citing works

Voice onset time in Parkinson disease

Fischer, E. V., & Goberman, A. M. (2009) · Journal of Communication Disorders · doi:10.1016/j.jcomdis.2009.07.004 · Cited by 93 · see citing works

What dysarthrias can tell us about the neural control of speech

Kent, R. D., Kent, J. F., Weismer, G. G., & Duffy, J. R. (2000) · Journal of Phonetics · doi:10.1006/jpho.2000.0122 · Cited by 90 · see citing works

Gender-Specific Vocal Dysfunctions in Parkinson's Disease: Electroglottographic and Acoustic Analyses

Hertrich, I., & Ackermann, H. (1995) · Annals of Otology Rhinology & Laryngology · doi:10.1177/000348949510400304 · Cited by 82 · see citing works

Clinical manifestations of Parkinson disease and the onset of rapid eye movement sleep behavior disorder

Gong, Y., Xiong, K., Mao, C., Shen, Y., Hu, W., Huang, J., Han, F., Chen, R., & Liu, C. (2014) · Sleep Medicine · doi:10.1016/j.sleep.2013.12.021 · Cited by 67 · see citing works

Speech perception deficits in Parkinson's disease: underestimation of time intervals compromises identification of durational phonetic contrasts

Gräber, S., Hertrich, I., Daum, I., Spieker, S., & Ackermann, H. (2002) · Brain and Language · doi:10.1016/s0093-934x(02)00002-0 · Cited by 60 · see citing works

REM Sleep Behaviour Disorder in Older Individuals

Trotti, L. M. (2010) · Drugs & Aging · doi:10.2165/11536260-000000000-00000 · Cited by 56 · see citing works

Automatic method of pause measurement for normal and dysarthric speech

Rosen, K. M., Murdoch, B. E., Folker, J. E., Vogel, A. P., Cahill, L., Delatycki, M. B., & Corben, L. A. (2010) · Clinical Linguistics & Phonetics · doi:10.3109/02699200903440983 · Cited by 49 · see citing works

Screening for REM sleep behavior disorder in the general population

Bušková, J., Ibarburu, V., Šonka, K., & Růžička, E. (2016) · Sleep Medicine · doi:10.1016/j.sleep.2016.07.003 · Cited by 38 · see citing works

Evaluation of smartphone‐based testing to generate exploratory outcome measures in a phase 1 Parkinson's disease clinical trial

Lipsmeier, F., Taylor, K. I., Kilchenmann, T., Wolf, D., Scotland, A., Schjodt‐Eriksen, J., Cheng, W., Fernandez‐Garcia, I., Siebourg‐Polster, J., Jin, L., et al. (2018) · Movement Disorders · doi:10.1002/mds.27376 · Cited by 266 · see citing works

Multimodal assessment of Parkinson’s disease: a deep learning approach

Vasquez-Correa, J. C., Arias-Vergara, T., Orozco-Arroyave, J. R., Eskofier, B., Klucken, J., & Noth, E. (2019) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2018.2866873 · Cited by 262 · see citing works

Emerging Sonodynamic Therapy‐Based Nanomedicines for Cancer Immunotherapy

Yang, Y., Huang, J., Liu, M., Qiu, Y., Chen, Q., Zhao, T., Xiao, Z., Yang, Y., Jiang, Y., Huang, Q., et al. (2022) · Advanced Science · doi:10.1002/advs.202204365 · Cited by 244 · see citing works

Shaping 3D Root System Architecture

Morris, E. C., Griffiths, M., Gołębiowska, A., Mairhofer, S., Burr-Hersey, J. E., Goh, T., von Wangenheim, D., Atkinson, B. S., Sturrock, C. J., Lynch, J. P., et al. (2017) · Current Biology · doi:10.1016/j.cub.2017.06.043 · Cited by 230 · see citing works

The Effects of Cannabinoids on Pro- and Anti-Inflammatory Cytokines: A Systematic Review of In Vivo Studies

Henshaw, F., Dewsbury, L. S., Lim, C. K., & Steiner, G. (2021) · Cannabis and Cannabinoid Research · doi:10.1089/can.2020.0105 · Cited by 157 · see citing works

Artificial Intelligence Techniques for Automated Diagnosis of Neurological Disorders

Raghavendra, U., Acharya, U. R., & Adeli, H. (2019) · European Neurology · doi:10.1159/000504292 · Cited by 174 · see citing works

Voice changes in Parkinson’s disease: What are they telling us?

Ma, A., Lau, K. K., & Thyagarajan, D. E. (2020) · Journal of Clinical Neuroscience · doi:10.1016/j.jocn.2019.12.029 · Cited by 171 · see citing works

Guidelines for Speech Recording and Acoustic Analyses in Dysarthrias of Movement Disorders

Rusz, J., Tykalova, T., Ramig, L. O., & Tripoliti, E. (2021) · Movement Disorders · doi:10.1002/mds.28465 · Cited by 170 · see citing works

Speech Disorders in Parkinson’s Disease: Pathophysiology, Medical Management and Surgical Approaches

Dashtipour, K., Tafreshi, A., Lee, J. K., & Crawley, B. K. (2018) · Neurodegenerative Disease Management · doi:10.2217/nmt-2018-0021 · Cited by 150 · see citing works

Artificial intelligence in neurodegenerative diseases: A review of available tools with a focus on machine learning techniques

Tăuţan, A.-M., Ionescu, B. E., & Santarnecchi, E. (2021) · Artificial Intelligence in Medicine · doi:10.1016/j.artmed.2021.102081 · Cited by 151 · see citing works

Parkinson disease prediction using intrinsic mode function based features from speech signal

Karan, B., Sahu, S. S., & Mahto, K. (2020) · Biocybernetics and Biomedical Engineering · doi:10.1016/j.bbe.2019.05.005 · Cited by 165 · see citing works

Design of a biofluid-absorbing bioactive sandwich-structured Zn–Si bioceramic composite wound dressing for hair follicle regeneration and skin burn wound healing

Zhang, Z., Li, W., Liu, Y., Yang, Z., Ma, L., Zhuang, H., Wang, E., Wu, C., Huan, Z., Guo, F., et al. (2020) · Bioactive Materials · doi:10.1016/j.bioactmat.2020.12.006 · Cited by 146 · see citing works

Smartphone motor testing to distinguish idiopathic REM sleep behavior disorder, controls, and PD

Arora, S., Baig, F., Lo, C., Barber, T. R., Lawton, M., Zhan, A., Rolinski, M., Ruffmann, C., Klein, J. C., Rumbold, J., et al. (2018) · Neurology · doi:10.1212/wnl.0000000000006366 · Cited by 142 · see citing works

Artificial intelligence in the water domain: Opportunities for responsible use

Doorn, N. (2020) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2020.142561 · Cited by 144 · see citing works

Applications and multidisciplinary perspective on 3D printing techniques: Recent developments and future trends

hadad, A. A. E., Rosa-Sainz, A., Cañete, R., Peralta, E., Begines, B., Balbuena, M., Alcudia, A., & Torres, Y. (2023) · Materials Science and Engineering R Reports · doi:10.1016/j.mser.2023.100760 · Cited by 140 · see citing works

Speech Biomarkers in Rapid Eye Movement Sleep Behavior Disorder and Parkinson Disease

Rusz, J., Hlavnička, J., Novotný, M., Tykalová, T., Pelletier, A., Montplaisir, J. Y., Gagnon, J., Dušek, P., Galbiati, A., Marelli, S., et al. (2021) · Annals of Neurology · doi:10.1002/ana.26085 · Cited by 133 · see citing works

Towards an automatic evaluation of the dysarthria level of patients with Parkinson's disease

Vásquez-Correa, J. C., Orozco‐Arroyave, J. R., Bocklet, T., & Nöth, E. (2018) · Journal of Communication Disorders · doi:10.1016/j.jcomdis.2018.08.002 · Cited by 130 · see citing works

Voice in Parkinson's Disease: A Machine Learning Study

Suppa, A., Costantini, G., Asci, F., Leo, P., Al-Wardat, M. S., Lazzaro, G. D., Scalise, S., Pisani, A., & Saggio, G. (2022) · Frontiers in Neurology · doi:10.3389/fneur.2022.831428 · Cited by 122 · see citing works

Smartphone Allows Capture of Speech Abnormalities Associated With High Risk of Developing Parkinson’s Disease

Rusz, J., Hlavnička, J., Tykalová, T., Novotný, M., Dušek, P., Šonka, K., & Růžička, E. (2018) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2018.2851787 · Cited by 118 · see citing works

To regenerate or not to regenerate: factors that drive plant regeneration

Sugimoto, K., Temman, H., Kadokura, S., & Matsunaga, S. (2019) · Current Opinion in Plant Biology · doi:10.1016/j.pbi.2018.12.002 · Cited by 116 · see citing works

Coral reef restoration efforts in Latin American countries and territories

Bayraktarov, E., Banaszak, A. T., Montoya-Maya, P., Kleypas, J. A., Arias‐González, J. E., Blanco‐Pimentel, M., Calle‐Triviño, J., Charuvi, N., Cortés‐Useche, C., Galván, V., et al. (2020) · PLoS ONE · doi:10.1371/journal.pone.0228477 · Cited by 112 · see citing works

Prospective application of exosomes derived from adipose‐derived stem cells in skin wound healing: A review

Qiu, H., Liu, S., Wu, K., Zhao, R., Cao, L., & Wang, H. (2019) · Journal of Cosmetic Dermatology · doi:10.1111/jocd.13215 · Cited by 106 · see citing works

Speech and language markers of neurodegeneration: a call for global equity

García, A. M., de Leon, J., Tee, B. L., Blasi, D. E., & Gorno-Tempini, M. L. (2023) · Brain · doi:10.1093/brain/awad253 · Cited by 102 · see citing works

Advancing DNA Barcoding and Metabarcoding Applications for Plants Requires Systematic Analysis of Herbarium Collections—An Australian Perspective

Dormontt, E. E., van Dijk, K., Bell, K. L., Biffin, E., Breed, M. F., Byrne, M. M., Caddy‐Retalic, S., Encinas‐Viso, F., Nevill, P., Shapcott, A., et al. (2018) · Frontiers in Ecology and Evolution · doi:10.3389/fevo.2018.00134 · Cited by 103 · see citing works

Application of long-wave near infrared hyperspectral imaging for determination of moisture content of single maize seed

Wang, Z., Fan, S., Wu, J., Zhang, C., Xu, F., Yang, X., & Li, J. (2021) · Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy · doi:10.1016/j.saa.2021.119666 · Cited by 103 · see citing works

Artificial Intelligence-Based Voice Assessment of Patients with Parkinson’s Disease Off and On Treatment: Machine vs. Deep-Learning Comparison

Costantini, G., Cesarini, V., Leo, P. D., Amato, F., Suppa, A., Asci, F., Pisani, A., Calculli, A., & Saggio, G. (2023) · Sensors · doi:10.3390/s23042293 · Cited by 100 · see citing works

Preparations, properties and applications of gallium oxide nanomaterials – A review

Shi, F., & Qiao, H. (2021) · Nano Select · doi:10.1002/nano.202100149 · Cited by 98 · see citing works

Using a smartwatch and smartphone to assess early Parkinson’s disease in the WATCH-PD study

Adams, J. L., Kangarloo, T., Tracey, B., O’Donnell, P., Volfson, D., Latzman, R. D., Zach, N., Alexander, R., Bergethon, P., Cosman, J., et al. (2023) · npj Parkinson's Disease · doi:10.1038/s41531-023-00497-x · Cited by 98 · see citing works

Colon cancer prediction on histological images using deep learning features and Bayesian optimized SVM

Babu, T., Singh, T., Gupta, D., & Hameed, S. (2021) · Journal of Intelligent & Fuzzy Systems · doi:10.3233/jifs-189850 · Cited by 97 · see citing works

Shifting the microbiome of a coral holobiont and improving host physiology by inoculation with a potentially beneficial bacterial consortium

Zhang, Y., Yang, Q., Ling, J., Long, L., Huang, H., Yin, J., Wu, M., Tang, X., Lin, X., Zhang, Y., et al. (2021) · BMC Microbiology · doi:10.1186/s12866-021-02167-5 · Cited by 97 · see citing works

Speech and language biomarkers for Parkinson’s disease prediction, early diagnosis and progression

Cao, F., Vogel, A. P., Gharahkhani, P., & Rentería, M. E. (2025) · npj Parkinson s Disease · doi:10.1038/s41531-025-00913-4 · Cited by 92 · see citing works

Impacts of a Changing Earth on Microbial Dynamics and Human Health Risks in the Continuum between Beach Water and Sand

Weiskerger, C. J., Brandão, J. C., Ahmed, W., Aslan, A., Avolio, L. N., Badgley, B. D., Boehm, A. B. B., Edge, T. A., Fleisher, J. M., Heaney, C. D., et al. (2019) · Water Research · doi:10.1016/j.watres.2019.07.006 · Cited by 83 · see citing works

Cognitive determinants of dysarthria in Parkinson's disease: An automated machine learning approach

García, A. M., Arias‐Vergara, T., C. Vasquez‐Correa, J., Nöth, E., Schuster, M., Welch, A. E., Bocanegra, Y., Baena, A., & Orozco‐Arroyave, J. R. (2021) · Movement Disorders · doi:10.1002/mds.28751 · Cited by 77 · see citing works

Characteristics of motor speech phenotypes in multiple sclerosis

Rusz, J., Srpová, B., Růžičková, H., Novotný, M., Tykalová, T., Hlavnička, J., Uher, T., Vaněčková, M., Andělová, M., Novotná, K., et al. (2017) · Multiple Sclerosis and Related Disorders · doi:10.1016/j.msard.2017.11.007 · Cited by 82 · see citing works

Mechanisms of carbon nanotube‐induced pulmonary fibrosis: a physicochemical characteristic perspective

Duke, K. S., & Bonner, J. C. (2017) · Wiley Interdisciplinary Reviews Nanomedicine and Nanobiotechnology · doi:10.1002/wnan.1498 · Cited by 79 · see citing works

Speech as a Biomarker: Opportunities, Interpretability, and Challenges

Ramanarayanan, V., Lammert, A. C., Rowe, H. P., Quatieri, T. F., & Green, J. R. (2022) · Perspectives of the ASHA Special Interest Groups · doi:10.1044/2021_persp-21-00174 · Cited by 70 · see citing works

Complexity Measures of Voice Recordings as a Discriminative Tool for Parkinson’s Disease

Viswanathan, R., Arjunan, S. P., Bingham, A., Jelfs, B., Kempster, P. A., Raghav, S., & Kumar, D. (2019) · Biosensors · doi:10.3390/bios10010001 · Cited by 72 · see citing works

Defining Speech Subtypes in De Novo Parkinson Disease

Rusz, J., Tykalová, T., Novotný, M., Zogala, D., Šonka, K., Růžička, E., & Dušek, P. (2021) · Neurology · doi:10.1212/wnl.0000000000012878 · Cited by 72 · see citing works

Microglia Receptors in Animal Models of Traumatic Brain Injury

Younger, D., Murugan, M., Rao, K. V. R., Wu, L., & Chandra, N. (2018) · Molecular Neurobiology · doi:10.1007/s12035-018-1428-7 · Cited by 69 · see citing works

A novel controlled release formulation of the Pin1 inhibitor ATRA to improve liver cancer therapy by simultaneously blocking multiple cancer pathways

Yang, D., Luo, W., Wang, J., Zheng, M., Liao, X., Zhang, N., Lu, W., Wang, L., Chen, A., Wu, W., et al. (2017) · Journal of Controlled Release · doi:10.1016/j.jconrel.2017.11.031 · Cited by 69 · see citing works

The interplay between mast cells, pineal gland, and circadian rhythm: Links between histamine, melatonin, and inflammatory mediators

Pham, L., Baiocchi, L., Kennedy, L. L., Sato, K., Meadows, V., Meng, F., Huang, C., Kundu, D., Zhou, T., Chen, L., et al. (2020) · Journal of Pineal Research · doi:10.1111/jpi.12699 · Cited by 72 · see citing works

Distinct patterns of speech disorder in early-onset and late-onset de-novo Parkinson’s disease

Rusz, J., Tykalová, T., Novotný, M., Růžička, E., & Dušek, P. (2021) · npj Parkinson s Disease · doi:10.1038/s41531-021-00243-1 · Cited by 68 · see citing works

An algorithm for Parkinson’s disease speech classification based on isolated words analysis

Amato, F., Borzì, L., Olmo, G., & Orozco‐Arroyave, J. R. (2021) · Health Information Science and Systems · doi:10.1007/s13755-021-00162-8 · Cited by 65 · see citing works

From prodromal stages to clinical trials: The promise of digital speech biomarkers in Parkinson's disease

Rusz, J., Krack, P., & Tripoliti, E. (2024) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2024.105922 · Cited by 65 · see citing works

An improved sex-specific and age-dependent classification model for Parkinson's diagnosis using handwriting measurement

Gupta, U., Bansal, H., & Joshi, D. (2019) · Computer Methods and Programs in Biomedicine · doi:10.1016/j.cmpb.2019.105305 · Cited by 64 · see citing works

Automated speech analysis in early untreated Parkinson's disease: Relation to gender and dopaminergic transporter imaging

Rusz, J., Tykalová, T., Novotný, M., Zogala, D., Růžička, E., & Dušek, P. (2021) · European Journal of Neurology · doi:10.1111/ene.15099 · Cited by 63 · see citing works

A forced gaussians based methodology for the differential evaluation of Parkinson's Disease by means of speech processing

Moro-Velázquez, L., Gómez-García, J. A., Godino-Llorente, J. I., Villalba, J., Rusz, J., Shattuck-Hufnagel, S., & Dehak, N. (2018) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2018.10.020 · Cited by 63 · see citing works

Phonetic relevance and phonemic grouping of speech in the automatic detection of Parkinson’s Disease

Moro-Velázquez, L., Gómez-García, J. A., Godino-Llorente, J. I., Grandas, F., Shattuck‐Hufnagel, S., Yagüe-Jiménez, V., & Dehak, N. (2019) · Scientific Reports · doi:10.1038/s41598-019-55271-y · Cited by 62 · see citing works

Atomic spectrometry update. Review of advances in the analysis of metals, chemicals and materials

Carter, S., Fisher, A., Hinds, M. W., Lancaster, S., & Marshall, J. (2013) · Journal of Analytical Atomic Spectrometry · doi:10.1039/c3ja90051g · Cited by 61 · see citing works

Hierarchical Self‐Assembly of Peptides and its Applications in Bionanotechnology

Gerbelli, B. B., Vassiliades, S. V., Rojas, J. E. U., Pelin, J. N. B. D., Mancini, R. S. N., Pereira, W. S. G., Aguilar, A. M., Venanzi, M., Cavalieri, F., Giuntini, F., et al. (2019) · Macromolecular Chemistry and Physics · doi:10.1002/macp.201900085 · Cited by 60 · see citing works

Accuracy of Rating Scales and Clinical Measures for Screening of Rapid Eye Movement Sleep Behavior Disorder and for Predicting Conversion to Parkinson’s Disease and Other Synucleinopathies

Škorvánek, M., Feketeová, E., Kurtis, M. M., Rusz, J., & Šonka, K. (2018) · Frontiers in Neurology · doi:10.3389/fneur.2018.00376 · Cited by 59 · see citing works

A Proposed Roadmap for Parkinson’s Disease Proof of Concept Clinical Trials Investigating Compounds Targeting Alpha-Synuclein

Merchant, K., Cedarbaum, J. M., Brundin, P., Dave, K. D., Eberling, J. L., Espay, A. J., Hutten, S. J., Javidnia, M., Luthman, J., Maetzler, W., et al. (2018) · Journal of Parkinson s Disease · doi:10.3233/jpd-181471 · Cited by 58 · see citing works

Hooked on heart regeneration: the zebrafish guide to recovery

Stewart, K. R., Walker, S. L. M., Baker, A. H., Riley, P. R., & Brittan, M. (2021) · Cardiovascular Research · doi:10.1093/cvr/cvab214 · Cited by 65 · see citing works

Can we make Chitosan by Enzymatic Deacetylation of Chitin?

Harmsen, R. A. G., Tuveng, T. R., Antonsen, S. G., Eijsink, V. G. H., & Sørlie, M. (2019) · Molecules · doi:10.3390/molecules24213862 · Cited by 56 · see citing works

Curcumin/Fe-SiO2 nano composites with multi-synergistic effects for scar inhibition and hair follicle regeneration during burn wound healing

Zhang, Z., Zhang, Y., Li, W., Ma, L., Wang, E., Xing, M., Zhou, Y., Huan, Z., Guo, F., & Chang, J. (2021) · Applied Materials Today · doi:10.1016/j.apmt.2021.101065 · Cited by 56 · see citing works

An improved framework for Parkinson’s disease prediction using Variational Mode Decomposition-Hilbert spectrum of speech signal

Karan, B., & Sahu, S. S. (2021) · Journal of Applied Biomedicine · doi:10.1016/j.bbe.2021.04.014 · Cited by 56 · see citing works

Rhythmic performance in hypokinetic dysarthria: Relationship between reading, spontaneous speech and diadochokinetic tasks

Lowit, A., Guerrini, A. M., Corson, S., & Kuschmann, A. (2018) · Journal of Communication Disorders · doi:10.1016/j.jcomdis.2018.02.005 · Cited by 54 · see citing works

Machine learning- and statistical-based voice analysis of Parkinson’s disease patients: A survey

Amato, F., Saggio, G., Cesarini, V., Olmo, G., & Costantini, G. (2023) · Expert Systems with Applications · doi:10.1016/j.eswa.2023.119651 · Cited by 52 · see citing works

Attenuation of cyclosporine A induced nephrotoxicity by schisandrin B through suppression of oxidative stress, apoptosis and autophagy

Lai, Q., Luo, Z., Wu, C., Lai, S., Wei, H., Li, T., Wang, Q., & Yu, Y. (2017) · International Immunopharmacology · doi:10.1016/j.intimp.2017.08.019 · Cited by 52 · see citing works

Microelectrode recordings in human epilepsy: a case for clinical translation

Chari, A., Thornton, R. C., Tisdall, M. M., & Scott, R. C. (2020) · Brain Communications · doi:10.1093/braincomms/fcaa082 · Cited by 52 · see citing works

Distinctive speech signature in cerebellar and parkinsonian subtypes of multiple system atrophy

Rusz, J., Tykalová, T., Salerno, G., Bancone, S., Scarpelli, J., & Pellecchia, M. T. (2019) · Journal of Neurology · doi:10.1007/s00415-019-09271-7 · Cited by 51 · see citing works

Activity of wild Japanese macaques in Yakushima revealed by camera trapping: Patterns with respect to season, daily period and rainfall

Hanya, G., Otani, Y., Hongo, S., Honda, T., Okamura, H., & Higo, Y. (2018) · PLoS ONE · doi:10.1371/journal.pone.0190631 · Cited by 50 · see citing works

Relations of non-motor symptoms and dopamine transporter binding in REM sleep behavior disorder

Dušek, P., Ibarburu, V., Bezdíček, O., Dall’Antonia, I., Dostálová, S., Kovalská, P., Krupička, R., Nepožitek, J., Nikolai, T., Novotný, M., et al. (2019) · Scientific Reports · doi:10.1038/s41598-019-51710-y · Cited by 50 · see citing works

Dissolved carbon transport in a river-lake continuum: A case study in a subtropical watershed, USA

Xu, Z., & Xu, Y. J. (2018) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2018.06.221 · Cited by 49 · see citing works

Evaluation of the use of untargeted metabolomics in the safety assessment of genetically modified crops

Bedair, M., & Glenn, K. C. (2020) · Metabolomics · doi:10.1007/s11306-020-01733-8 · Cited by 49 · see citing works

Voice characteristics from isolated rapid eye movement sleep behavior disorder to early Parkinson's disease

Jeancolas, L., Mangone, G., Petrovska‐Delacrétaz, D., Benali, H., Benkelfat, B.-E., Arnulf, I., Corvol, J., Vidailhet, M., & Lehéricy, S. (2022) · Parkinsonism & Related Disorders · doi:10.1016/j.parkreldis.2022.01.003 · Cited by 48 · see citing works

Advances in the Research of Risk Factors and Prodromal Biomarkers of Parkinson’s Disease

Xie, F., Gao, X., Yang, W., Chang, Z., Yang, X., Wei, X., Huang, Z., Xie, H., Yue, Z., Zhou, F., et al. (2018) · ACS Chemical Neuroscience · doi:10.1021/acschemneuro.8b00520 · Cited by 47 · see citing works

Highlights of animal venom research on the geographical variations of toxin components, toxicities and envenomation therapy

Yu, C., Yu, H., & Li, P. (2020) · International Journal of Biological Macromolecules · doi:10.1016/j.ijbiomac.2020.10.190 · Cited by 47 · see citing works

Towards interpretable speech biomarkers: exploring MFCCs

Tracey, B., Volfson, D., Glass, J., Haulcy, R., Kostrzebski, M., Adams, J., Kangarloo, T., Brodtmann, A., Dorsey, E. R., & Vogel, A. (2023) · Scientific Reports · doi:10.1038/s41598-023-49352-2 · Cited by 46 · see citing works

Motor speech and non-motor language endophenotypes of Parkinson’s disease

Magee, M., Copland, D. A., & Vogel, A. P. (2019) · Expert Review of Neurotherapeutics · doi:10.1080/14737175.2019.1649142 · Cited by 44 · see citing works

Misconceptions about speech impairment in Parkinson's disease

Moreau, C., & Pinto, S. (2019) · Movement Disorders · doi:10.1002/mds.27791 · Cited by 43 · see citing works

A highly sensitive label-free electrochemical immunosensor based on an aligned GaN nanowires array/polydopamine heterointerface modified with Au nanoparticles

Liu, Q., Yang, T., Ye, Y., Chen, P., Ren, X., Rao, A., Wan, Y., Wang, B., & Luo, Z. (2019) · Journal of Materials Chemistry B · doi:10.1039/c8tb03233e · Cited by 39 · see citing works

Speech acoustic indices for differential diagnosis between Parkinson’s disease, multiple system atrophy and progressive supranuclear palsy

Daoudi, K., Das, B., Tykalová, T., Klempíř, J., & Rusz, J. (2022) · npj Parkinson s Disease · doi:10.1038/s41531-022-00389-6 · Cited by 38 · see citing works

Validation of freely-available pitch detection algorithms across various noise levels in assessing speech captured by smartphone in Parkinson’s disease

Illner, V., Sovka, P., & Rusz, J. (2020) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2019.101831 · Cited by 38 · see citing works

Born to sing! Song development in a singing primate

Gregorio, C. D., Carugati, F., Estienne, V., Valente, D., Raimondi, T., Torti, V., Miaretsoa, L., Ratsimbazafy, J., Gamba, M., & Giacoma, C. (2021) · Current Zoology · doi:10.1093/cz/zoab018 · Cited by 38 · see citing works

Structural and biological characterization of anticancer nickel(II) bis(benzimidazole) complex

Masaryk, L., Tesařová, B., Choquesillo‐Lazarte, D., Milosavljević, V., Heger, Z., & Kopel, P. (2021) · Journal of Inorganic Biochemistry · doi:10.1016/j.jinorgbio.2021.111395 · Cited by 37 · see citing works

Smartphone Voice Calls Provide Early Biomarkers of Parkinsonism in Rapid Eye Movement Sleep Behavior Disorder

Illner, V., Novotný, M., Kouba, T., Tykalová, T., Šimek, M., Sovka, P., Švihlík, J., Růžička, E., Šonka, K., Dušek, P., et al. (2024) · Movement Disorders · doi:10.1002/mds.29921 · Cited by 38 · see citing works

A machine learning perspective on the emotional content of Parkinsonian speech

Sechidis, K., Fusaroli, R., Orozco‐Arroyave, J. R., Wolf, D., & Zhang, Y. (2021) · Artificial Intelligence in Medicine · doi:10.1016/j.artmed.2021.102061 · Cited by 36 · see citing works

Glottal Source Analysis of Voice Deficits in Newly Diagnosed Drug-naïve Patients with Parkinson’s Disease: Correlation Between Acoustic Speech Characteristics and Non-Speech Motor Performance

Novotný, M., Dušek, P., Daly, I., Růžička, E., & Rusz, J. (2019) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2019.101818 · Cited by 35 · see citing works

A mesoscopic digital twin that bridges length and time scales for control of additively manufactured metal microstructures

Heo, T., Khairallah, S., Shi, R.-P., Berry, J. M., Perron, A., Calta, N., Martin, A. A., Barton, N., Roehling, J., Roehling, T., et al. (2021) · Journal of Physics Materials · doi:10.1088/2515-7639/abeef8 · Cited by 33 · see citing works

Short-term effect of dopaminergic medication on speech in early-stage Parkinson’s disease

Tykalová, T., Novotný, M., Růžička, E., Dušek, P., & Rusz, J. (2022) · npj Parkinson s Disease · doi:10.1038/s41531-022-00286-y · Cited by 35 · see citing works

Measuring Saccade Latency Using Smartphone Cameras

Lai, H.-Y., Saavedra-Peña, G., Sodini, C. G., Sze, V., & Heldt, T. (2019) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2019.2913846 · Cited by 34 · see citing works

A precise visual localisation method for the Chinese Chang’e‐4 Yutu‐2 rover

Ma, Y., Liu, S., Sima, B., Wen, B., Song, P., & Jia, Y. (2020) · The Photogrammetric Record · doi:10.1111/phor.12309 · Cited by 34 · see citing works

Is the Immunological Response a Bottleneck for Cell Therapy in Neurodegenerative Diseases?

Salado-Manzano, C., Perpiñá, U., Straccia, M., Molina-Ruiz, F. J., Cozzi, E., Rosser, A., & Canals, J. M. (2020) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2020.00250 · Cited by 34 · see citing works

Identification and denitrification characteristics of a salt-tolerant denitrifying bacterium Pannonibacter phragmitetus F1

Wang, X., Zhu, H., Shutes, B., Fu, B., Yan, B., Yu, X., Wen, H., & Chen, X. (2019) · AMB Express · doi:10.1186/s13568-019-0918-y · Cited by 33 · see citing works

Disturbance history can increase functional stability in the face of both repeated disturbances of the same type and novel disturbances

Renes, S. E., Sjöstedt, J., Fetzer, I., & Langenheder, S. (2020) · Scientific Reports · doi:10.1038/s41598-020-68104-0 · Cited by 33 · see citing works

Facultative bacterial endosymbionts shape parasitoid food webs in natural host populations: A correlative analysis

Ye, Z., Vollhardt, I. M. G., Parth, N., Rubbmark, O. R., & Traugott, M. (2018) · Journal of Animal Ecology · doi:10.1111/1365-2656.12875 · Cited by 32 · see citing works

Speech and gait abnormalities in motor subtypes of de‐novo Parkinson's disease

Rusz, J., Krupička, R., Vítečková, S., Tykalová, T., Novotný, M., Novák, J., Dušek, P., & Růžička, E. (2023) · CNS Neuroscience & Therapeutics · doi:10.1111/cns.14158 · Cited by 30 · see citing works

Exploring Spectrogram-Based Audio Classification for Parkinson’s Disease: A Study on Speech Classification and Qualitative Reliability Verification

Jeong, S.-M., Kim, S., Lee, E. C., & Kim, H. (2024) · Sensors · doi:10.3390/s24144625 · Cited by 32 · see citing works

The biomedical applications of artificial intelligence: an overview of decades of research

Naskar, S., Sharma, S., Kuotsu, K., Halder, S., Pal, G., Saha, S., Mondal, S., Biswas, U. K., Jana, M., & Bhattacharjee, S. (2025) · Journal of drug targeting (Print) · doi:10.1080/1061186x.2024.2448711 · Cited by 18 · see citing works

Unobtrusive Monitoring of Speech Impairments of Parkinson'S Disease Patients Through Mobile Devices

Arias‐Vergara, T., Vásquez-Correa, J. C., Orozco‐Arroyave, J. R., Klumpp, P., & Nöth, E. (2018) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp.2018.8462332 · Cited by 30 · see citing works

A Novel lncRNA Regulates the Toll-Like Receptor Signaling Pathway and Related Immune Function by Stabilizing FOS mRNA as a Competitive Endogenous RNA

Fan, H., Lv, Z., Gan, L., Ning, C., Li, Z., Yang, M., Zhang, B., Song, B., Li, G., Tang, D., et al. (2019) · Frontiers in Immunology · doi:10.3389/fimmu.2019.00838 · Cited by 30 · see citing works

Serum Amyloid A is Expressed in the Brain After Traumatic Brain Injury in a Sex-Dependent Manner

Soriano, S., Moffet, B., Wicker, E., & Villapol, S. (2020) · Cellular and Molecular Neurobiology · doi:10.1007/s10571-020-00808-3 · Cited by 30 · see citing works

Spoken Language Alterations can Predict Phenoconversion in Isolated Rapid Eye Movement Sleep Behavior Disorder: A Multicenter Study

Šubert, M., Novotný, M., Tykalová, T., Hlavnička, J., Dušek, P., Růžička, E., Skrabal, D., Pelletier, A., Postuma, R. B., Montplaisir, J. Y., et al. (2023) · Annals of Neurology · doi:10.1002/ana.26835 · Cited by 29 · see citing works

Validation of cepstral peak prominence in assessing early voice changes of Parkinson's disease: Effect of speaking task and ambient noise

Šimek, M., & Rusz, J. (2021) · The Journal of the Acoustical Society of America · doi:10.1121/10.0009063 · Cited by 29 · see citing works

Deep learning-guided surface characterization for autonomous hydrogen lithography

Rashidi, M., Croshaw, J., Mastel, K., Tamura, M., Hosseinzadeh, H., & Wolkow, R. A. (2020) · Machine Learning Science and Technology · doi:10.1088/2632-2153/ab6d5e · Cited by 29 · see citing works

Investigating Voice as a Biomarker for Leucine-Rich Repeat Kinase 2-Associated Parkinson’s Disease

Arora, S., Visanji, N. P., Mestre, T., Tsanas, A., AlDakheel, A., Connolly, B. S., Gasca‐Salas, C., Kern, D. S., Jain, J., Slow, E., et al. (2018) · Journal of Parkinson s Disease · doi:10.3233/jpd-181389 · Cited by 28 · see citing works

Instrumental analysis of finger tapping reveals a novel early biomarker of parkinsonism in idiopathic rapid eye movement sleep behaviour disorder

Krupička, R., Krýže, P., Vítečková, S., Duspivová, T., Klempíř, O., Szabó, Z., Dušek, P., Šonka, K., Rusz, J., & Růžička, E. (2020) · Sleep Medicine · doi:10.1016/j.sleep.2020.07.019 · Cited by 28 · see citing works

Modeling Diet‐Induced Metabolic Syndrome in Rodents

Leonardi, B. F., Gosmann, G., & Zimmer, A. R. (2020) · Molecular Nutrition & Food Research · doi:10.1002/mnfr.202000249 · Cited by 26 · see citing works

Rat Models of Vocal Deficits in Parkinson’s Disease

Krasko, M. N., Hoffmeister, J. D., Schaen‐Heacock, N. E., Welsch, J. M., Kelm‐Nelson, C. A., & Ciucci, M. R. (2021) · Brain Sciences · doi:10.3390/brainsci11070925 · Cited by 25 · see citing works

Voice signal processing for detecting possible early signs of Parkinson’s disease in patients with rapid eye movement sleep behavior disorder

Benba, A., Jilbab, A., Sandabad, S., & Hammouch, A. (2019) · International Journal of Speech Technology · doi:10.1007/s10772-018-09588-0 · Cited by 12 · see citing works

Speech Biomarkers in Rapid Eye Movement Sleep Behavior Disorder and Parkinson Disease

Rusz, J., Hlavnička, J., Novotný, M., Tykalová, T., Pelletier, A., Montplaisir, J. Y., Gagnon, J., Dušek, P., Galbiati, A., Marelli, S., et al. (2021) · Annals of Neurology · doi:10.1002/ana.26085 · Cited by 133 · see citing works

Voice characteristics from isolated rapid eye movement sleep behavior disorder to early Parkinson's disease

Jeancolas, L., Mangone, G., Petrovska‐Delacrétaz, D., Benali, H., Benkelfat, B.-E., Arnulf, I., Corvol, J., Vidailhet, M., & Lehéricy, S. (2022) · Parkinsonism & Related Disorders · doi:10.1016/j.parkreldis.2022.01.003 · Cited by 48 · see citing works

Rapid Eye Movement Sleep Behavior Disorder: An Insight into the Prodromal Parkinson’s Disease Speech

Novotný, M., & Rusz, J. (2025) · Communications in computer and information science · doi:10.1007/978-3-032-07083-8_6

Automatic Speech Analysis for Detecting Speech Deficits in isolated REM sleep behavior disorder, Parkinson’s disease, and progressive supranuclear palsy

Thies, T., Dörr, F., Rusz, J., & Tröger, J. (2025) · Parkinsonism & Related Disorders · doi:10.1016/j.parkreldis.2025.107387