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Relevant bibliographies by topics / Parkinson's disease. Speech

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Academic literature on the topic 'Parkinson's disease. Speech'

Author: Grafiati

Published: 4 June 2021

Last updated: 2 February 2022

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Journal articles on the topic "Parkinson's disease. Speech"

1

Nizami Huseyn, Elcin. "PARKINSON'S DISEASE MEDICAL REHABILITATION METHODS." NATURE AND SCIENCE 09, no. 04 (2021): 9–13. http://dx.doi.org/10.36719/2707-1146/09/9-13.

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Parkinson's disease ranks first among the neurodegenerative pathology. The approach to the treatment of Parkinson's disease must be comprehensive. Medical rehabilitation methods include not only basic drug therapy, surgical methods of treatment, but also methods of physiotherapy, reflexology, physiotherapy, speech therapy and psychotherapy. When prescribing physical factors in patients at different stages of the disease, it is possible to recommend those methods that will have a more pronounced effect on the clinical symptoms of Parkinson's disease. From physical factors, balneotherapy, therma

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Arefyeva, A. P., N. A. Skripkina, and E. E. Vasenina. "Speech disorders in Parkinson's disease." Zhurnal nevrologii i psikhiatrii im. S.S. Korsakova 119, no. 9 (2019): 32. http://dx.doi.org/10.17116/jnevro201911909232.

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Rolland-Monnoury, V. "Parkinson's disease and speech therapy." Annals of Physical and Rehabilitation Medicine 56 (October 2013): e258. http://dx.doi.org/10.1016/j.rehab.2013.07.672.

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Pettorino, Massimo, Elisa Pellegrino, and Maria Grazia Busà. "Speech disorders and Parkinson's disease." Parkinsonism & Related Disorders 22 (January 2016): e48. http://dx.doi.org/10.1016/j.parkreldis.2015.10.089.

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Trail, Marilyn, Cynthia Fox, Lorraine Olson Ramig, Shimon Sapir, Julia Howard, and Eugene C. Lai. "Speech treatment for Parkinson's disease." NeuroRehabilitation 20, no. 3 (2005): 205–21. http://dx.doi.org/10.3233/nre-2005-20307.

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Möbes, Janine, Gregor Joppich, Frank Stiebritz, Reinhard Dengler, and Christine Schröder. "Emotional speech in Parkinson's disease." Movement Disorders 23, no. 6 (2008): 824–29. http://dx.doi.org/10.1002/mds.21940.

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Wen, Y., X. Zou, and M. Luo. "Vowel speech analysis for Parkinson's Disease." Parkinsonism & Related Disorders 79 (October 2020): e101-e102. http://dx.doi.org/10.1016/j.parkreldis.2020.06.368.

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Benke, T. "Repetitive speech phenomena in Parkinson's disease." Journal of Neurology, Neurosurgery & Psychiatry 69, no. 3 (2000): 319–24. http://dx.doi.org/10.1136/jnnp.69.3.319.

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Stewart, Celia, Linda Winfield, Ann Hunt, et al. "Speech dysfunction in early Parkinson's disease." Movement Disorders 10, no. 5 (1995): 562–65. http://dx.doi.org/10.1002/mds.870100506.

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Spencer, Kristie, Janelle Sanchez, Audra McAllen, and Phillip Weir. "Speech and Cognitive-Linguistic Function in Parkinson's Disease." Perspectives on Neurophysiology and Neurogenic Speech and Language Disorders 20, no. 2 (2010): 31–38. http://dx.doi.org/10.1044/nnsld20.2.31.

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Abstract Purpose: Parkinson's disease is among the most common of the motor-based progressive neurologic disorders. This article provides a review of the motor, cognitive, sensory-perceptual, and linguistic deficits that may occur as a result of the loss of dopaminergic neurons, which causes Parkinson's disease. Method: A review of the literature regarding the nature of Parkinson's disease points out the primary triad of symptoms, which are tremor, rigidity, and bradykinesia. Descriptions of these cardinal symptoms are discussed, as are the non-motor symptoms frequently seen in this disorder,

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Dissertations / Theses on the topic "Parkinson's disease. Speech"

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Saunders, Vickie Ellen, and n/a. "Semantic processing in Parkinson's disease." University of Otago. Department of Psychology, 2006. http://adt.otago.ac.nz./public/adt-NZDU20061024.112547.

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Parkinson�s disease is a neurodegenerative disorder, which is typically characterised in terms of its debilitating effects on motor function. However, ubiquitous neuropsychological deficits are also an integral feature of the progression of this disease. This thesis investigated these cognitive deficits as they manifest in language, with the overarching goal being to elucidate the word-finding problems that are associated with Parkinson�s disease. Making semantic judgements and identifying semantic relations are two processes that are particularly germane to word-finding. Therefore, the presen

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2

Kozlosky, Kenneth M. "Perception of Parkinsonian speech ratings by self and listeners vs. acoustic measures /." Bowling Green, Ohio : Bowling Green State University, 2009. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=bgsu1237512058.

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Solomon, Nancy Pearl. "Speech breathing in Parkinson disease." Diss., The University of Arizona, 1991. http://hdl.handle.net/10150/185597.

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Speech breathing was investigated in 14 men with Parkinson disease (PD) and 14 healthy control (HC) subjects. Kinematic, spirometric, acoustic, and pressure data were used to assess speech breathing control during resting tidal breathing, reading aloud, and monologue production. In addition, information regarding the subjects' speech was obtained through perceptual analyses. To address the issue of fluctuations in motor signs data were collected at two times during the drug cycle for subjects with Parkinson disease. During resting tidal breathing, PD subjects, on average, had a faster breathin

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Brajot, François-Xavier. "The perception of speech intensity in Parkinson's disease." Thesis, McGill University, 2014. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=123154.

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Advances in Parkinson's disease research are uncovering a complex pathology that extends well beyond basal ganglia and dopamine-related structures, one that impacts sensory processing and sensorimotor integration as much as it does motor planning and execution, with implications for the functional consequences of the disorder. The current research project is motivated by evidence that perceptual, alongside classical motor deficits, may be ascribed to the clinical presentation of the hypokinetic dysarthria of Parkinson's disease. Three studies were conducted to assess the roles of auditory, som

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Biswas, Amitava. "Perioral sensorimotor integration in Parkinson's disease." [Bloomington, Ind.] : Indiana University, 2005. http://wwwlib.umi.com/dissertations/fullcit/3183913.

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Inkley, Melissa. "Effects of Divided Attention on Speech in Parkinson's Disease." BYU ScholarsArchive, 2018. https://scholarsarchive.byu.edu/etd/6723.

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The effects of divided attention on speech in Parkinson's disease (PD) have been studied for a variety of tasks in recent years. Much of the previous research studied gait patterns while participants concurrently performed another task. There have been few studies regarding the effects of divided attention on speech in individuals with PD. The ability to communicate effectively relies in part on an appropriate rate of speech, vocal intensity, and fundamental frequency control. This study included 27 participants: 8 with PD, 12 neurologically healthy older (HO) adults, and 7 healthy younger

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Banwasi, Rakshita. "Views of American versus Indian speech language pathologists on diagnosing and treating Parkinson's disease." Oxford, Ohio : Miami University, 2004. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=miami1083017370.

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McAuliffe, Megan Jane. "An investigation of articulation and speech rate in Parkinson's disease /." [St. Lucia, Qld.], 2003. http://www.library.uq.edu.au/pdfserve.php?image=thesisabs/absthe17543.pdf.

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Tsang, Suk-ling Esther. "The relationship between diadochokinetic rate and accuracy, reading, rate, and sentence intelligibility in Cantonese speakers with Parkinsonism." Click to view the E-thesis via HKUTO, 2001. http://sunzi.lib.hku.hk/hkuto/record/B36208061.

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Thesis (B.Sc)--University of Hong Kong, 2001.<br>"A dissertation submitted in partial fulfilment of the requirements for the Bachelor of Science (Speech and Hearing Sciences), The University of Hong Kong, May 4, 2001." Also available in print.

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Brown, Adam. "Social aspects of communication in Parkinson's disease." Thesis, De Montfort University, 2013. http://hdl.handle.net/2086/10108.

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Parkinson's disease is a degenerative neurological condition which affects motor control, in almost all cases involving speech, and is frequently of many years duration. Much is known about speech production but less of the psychosocial consequences of the speech impairment (dysarthria). Accounts of people with dysarthria have shown that its impact on quality of social participation can be varied and profound. However, level of participation has not been investigated. Reduction in social activity and social networks has been found following onset of other neurogenic communication disorders. In

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Books on the topic "Parkinson's disease. Speech"

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I, Caird F., and Williams B. O, eds. Communication in Parkinson's disease. C. Helm, 1985.

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Scott, Sheila. Communication in Parkinson's disease. Aspen Systems Corp., 1985.

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Scott, Sheila. Communication in Parkinson's disease. Croom Helm, 1985.

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4

Analysis of speech of people with Parkinson's disease. Logos Verlag, 2015.

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5

McKeever, Shannon. Prosody-based intervention in Parkinson disease: A treatment efficacy study. 2000.

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6

Voigt-Zimmermann, Susanne, Stephanie Kurtenbach, Gabriele Finkbeinder, Anke Bergt, and Wanda Mainka, eds. Stimmstörungen – ein Fokus der Klinischen Sprechwissenschaft : Aktuelle Beiträge aus Wissenschaft, Forschung und Praxis. Frank & Timme, 2016. http://dx.doi.org/10.26530/20.500.12657/42799.

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Working on the voice, whether diagnosticly, therapeuticly, preventively or restoratively, is and will remain one of the core areas of clinical speech science. The authors of this volume provide information on current vocal research results, interdisciplinary projects and central and marginal aspects of the voice, its variability, disease, diagnosis and therapy. For example, it is about the child's handling of the voice, voice training for transsexuals, the aesthetics of radio voices and special phenomena such as yodelling or overtone singing. Susanne Voigt-Zimmermann, Dr. phil., ENT clinic of

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Rongve, Arvid, and Dag Aarsland. Dementia with Lewy bodies and Parkinson’s disease dementia. Oxford University Press, 2013. http://dx.doi.org/10.1093/med/9780199644957.003.0035.

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Dementia with Lewy bodies and Parkinson’s disease dementia belong to the α-synucleinopathies, a family of diseases pathologically characterized by aggregation of α-synuclein in Lewy bodies in the brain. In this chapter we present the epidemiological data for both conditions including new data on MCI. Clinical diagnostic criteria are reviewed and the different neuropathology staging systems for DLB and PDD and the most important genetic findings are considered. Biomarkers in DLB and PDD with particular focus on imaging techniques like CIT-SPECT and MRI are described. Important clinical symptoms

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Fletcher, Nicholas. Tremor, ataxia, and cerebellar disorders. Oxford University Press, 2011. http://dx.doi.org/10.1093/med/9780198569381.003.0898.

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Tremors are characterized by rhythmic oscillations of one or more body parts. Although typically seen in the upper limbs, almost any area may be involved, including the trunk, head, facial muscles, and legs. Sometimes, tremor is not visible at all but may be heard or palpated, for example, in vocal or orthostatic tremor, respectively. In neurological practice, the diagnosis and treatment of tremor is an everyday problem. A common scenario is the distinction between essential tremor and Parkinson’s disease. In this chapter, the wide range of tremors are discussed, with their aetiolology, pathop

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Book chapters on the topic "Parkinson's disease. Speech"

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Ramig, Lorraine, Cynthia Fox, and Shimon Sapir. "Speech and Voice Disorders in Parkinson's Disease." In Parkinson's Disease. Blackwell Publishing Ltd., 2011. http://dx.doi.org/10.1002/9781444397970.ch31.

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Maitra, Kinsuk. "Strategies for Cueing with Self Speech among People Living with Parkinson's Disease." In International Handbook of Occupational Therapy Interventions. Springer New York, 2009. http://dx.doi.org/10.1007/978-0-387-75424-6_32.

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Felicio, Andre C., Pankaj A. Agarwal, Klaus L. Leenders, and A. Jon Stoessl. "Parkinson’s Disease." In PET and SPECT in Neurology. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-54307-4_26.

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Matarazzo, Michele, Andre C. Felicio, and A. Jon Stoessl. "Parkinson’s Disease." In PET and SPECT in Neurology. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-53168-3_24.

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Garcia-Ospina, N., T. Arias-Vergara, J. C. Vásquez-Correa, J. R. Orozco-Arroyave, M. Cernak, and E. Nöth. "Phonological i-Vectors to Detect Parkinson’s Disease." In Text, Speech, and Dialogue. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00794-2_50.

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Pérez-Toro, P. A., J. C. Vásquez-Correa, M. Strauss, J. R. Orozco-Arroyave, and E. Nöth. "Natural Language Analysis to Detect Parkinson’s Disease." In Text, Speech, and Dialogue. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-27947-9_7.

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Duffy, Joseph R. "Motor Speech Disorders: Clues to Neurologic Diagnosis." In Parkinson’s Disease and Movement Disorders. Humana Press, 2000. http://dx.doi.org/10.1007/978-1-59259-410-8_2.

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Orozco-Arroyave, Juan Rafael, Tino Haderlein, and Elmar Nöth. "Automatic Detection of Parkinson’s Disease in Reverberant Environments." In Text, Speech, and Dialogue. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-24033-6_9.

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Orozco-Arroyave, Juan Rafael, Nicanor García, Jesús Francisco Vargas-Bonilla, and Elmar Nöth. "Automatic Detection of Parkinson’s Disease from Compressed Speech Recordings." In Text, Speech, and Dialogue. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-24033-6_10.

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James, Jinu, Shrinidhi Kulkarni, Neenu George, Sneha Parsewar, Revati Shriram, and Mrugali Bhat. "Detection of Parkinson’s Disease Through Speech Signatures." In Proceedings of the Third International Conference on Computational Intelligence and Informatics. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-1480-7_52.

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Conference papers on the topic "Parkinson's disease. Speech"

1

Tang, Shih-Tsang, Chi-Fen Chang, Chun-Hwei Tai, Kang-Ping Lin, and Yueh-Fang Huang. "Speech Rehabilitation Platform for Parkinson's Disease." In Biomedical Engineering / Robotics Applications. ACTAPRESS, 2014. http://dx.doi.org/10.2316/p.2014.818-060.

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Asgari, M., and I. Shafran. "Predicting severity of Parkinson's disease from speech." In 2010 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2010). IEEE, 2010. http://dx.doi.org/10.1109/iembs.2010.5626104.

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3

Ramezani, Hamideh, Hossein Khaki, Engin Erzin, and Ozgur B. Akan. "Speech features for telemonitoring of Parkinson's disease symptoms." In 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2017. http://dx.doi.org/10.1109/embc.2017.8037685.

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Rueda, Alice, and Sridhar Krishnan. "Feature analysis of dysphonia speech for monitoring Parkinson's disease." In 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2017. http://dx.doi.org/10.1109/embc.2017.8037317.

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Vadovsky, Michal, and Jan Paralic. "Parkinson's disease patients classification based on the speech signals." In 2017 IEEE 15th International Symposium on Applied Machine Intelligence and Informatics (SAMI). IEEE, 2017. http://dx.doi.org/10.1109/sami.2017.7880326.

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Zhao, Shunan, Frank Rudzicz, Leonardo G. Carvalho, Cesar Marquez-Chin, and Steven Livingstone. "Automatic detection of expressed emotion in Parkinson's Disease." In ICASSP 2014 - 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2014. http://dx.doi.org/10.1109/icassp.2014.6854516.

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Kurt, Ilke, Sezer Ulukaya, and Oguzhan Erdem. "Musical Feature Based Classification of Parkinson's Disease Using Dysphonic Speech." In 2018 41st International Conference on Telecommunications and Signal Processing (TSP). IEEE, 2018. http://dx.doi.org/10.1109/tsp.2018.8441484.

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Asgari, Meysam, and Izhak Shafran. "Extracting cues from speech for predicting severity of Parkinson'S disease." In 2010 IEEE International Workshop on Machine Learning for Signal Processing (MLSP). IEEE, 2010. http://dx.doi.org/10.1109/mlsp.2010.5589118.

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Belalcazar-Bolanos, E. A., J. R. Orozco-Arroyave, J. D. Arias-Londono, J. F. Vargas-Bonilla, and E. Noth. "Automatic detection of Parkinson's disease using noise measures of speech." In 2013 XVIII Symposium of Image, Signal Processing, and Artificial Vision (STSIVA). IEEE, 2013. http://dx.doi.org/10.1109/stsiva.2013.6644928.

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Gómez-Rodellar, A., D. Palacios-Alonso, J. Mekyska, A. Álvarez-Marquina, and P. Gómez-Vilda. "Comparing Parkinson's Disease Dysarthria and Aging Speech using Articulation Kinematics." In 12th International Conference on Bio-inspired Systems and Signal Processing. SCITEPRESS - Science and Technology Publications, 2019. http://dx.doi.org/10.5220/0007355700520061.

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Reports on the topic "Parkinson's disease. Speech"

1

Gabrieli, John D., and Glenn T. Stebbins. SPECT and fMRI Analysis of Motor and Cognitive Indices of Early Parkinson's Disease: The Relationship of Striatal Dopamine and Cortical Function. Defense Technical Information Center, 2002. http://dx.doi.org/10.21236/ada417110.

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Gabrieli, John D. SPECT and fMRI Analysis of Motor and Cognitive Indices of Early Parkinson's Disease: The Relationship of Striatal Dopamine and Cortical Function. Defense Technical Information Center, 2001. http://dx.doi.org/10.21236/ada406147.

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