Acoustic Analysis of Voices of Patients with Neurologic Disease: Rationale and Preliminary Data

1988 ◽  
Vol 97 (2) ◽  
pp. 164-172 ◽  
Author(s):  
Lorraine A. Ramig ◽  
Ingo R. Titze ◽  
Ronald C. Scherer ◽  
Steven P. Ringel

This paper presents a rationale for acoustic analysis of voices of neurologically diseased patients, and reports preliminary data from patients with myotonic dystrophy, Huntington's disease, Parkinson's disease, and amyotrophic lateral sclerosis, as well as from individuals at risk for Huntington's disease. Noninvasive acoustic analysis may be of clinical value to the otolaryngologist, neurologist, and speech pathologist for early and differential diagnosis and for documenting disease progression in these various neurologic disorders.

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Carmen N. Hernández-Candia ◽  
Sarah Pearce ◽  
Chandra L. Tucker

AbstractDynamic membraneless compartments formed by protein condensates have multifunctional roles in cellular biology. Tools that inducibly trigger condensate formation have been useful for exploring their cellular function, however, there are few tools that provide inducible control over condensate disruption. To address this need we developed DisCo (Disassembly of Condensates), which relies on the use of chemical dimerizers to inducibly recruit a ligand to the condensate-forming protein, triggering condensate dissociation. We demonstrate use of DisCo to disrupt condensates of FUS, associated with amyotrophic lateral sclerosis, and to prevent formation of polyglutamine-containing huntingtin condensates, associated with Huntington’s disease. In addition, we combined DisCo with a tool to induce condensates with light, CRY2olig, achieving bidirectional control of condensate formation and disassembly using orthogonal inputs of light and rapamycin. Our results demonstrate a method to manipulate condensate states that will have broad utility, enabling better understanding of the biological role of condensates in health and disease.


2009 ◽  
pp. 1-3 ◽  
Author(s):  
Julie Phukan ◽  
Elfatih Ali ◽  
Niall Pender ◽  
Fiona Molloy ◽  
Michael Hennessy ◽  
...  

2012 ◽  
Vol 13 (3) ◽  
pp. 265-269 ◽  
Author(s):  
Eliana Marisa Ramos ◽  
Pamela Keagle ◽  
Tammy Gillis ◽  
Patrick Lowe ◽  
Jayalakshmi S. Mysore ◽  
...  

2013 ◽  
Vol 15 (1-2) ◽  
pp. 145-147 ◽  
Author(s):  
Suresh Kumar Chhetri ◽  
Rejith Dayanandan ◽  
Dorothea Bindman ◽  
David Craufurd ◽  
Tahir Majeed

1969 ◽  
Vol 12 (2) ◽  
pp. 246-269 ◽  
Author(s):  
Frederic L. Darley ◽  
Arnold E. Aronson ◽  
Joe R. Brown

Thirty-second speech samples were studied of at least 30 patients in each of 7 discrete neurologic groups, each patient unequivocally diagnosed as being a representative of his diagnostic group. Three judges independently rated each of these samples on each of 38 dimensions of speech and voice using a 7-point scale of severity. Computer analysis based on the means of the three ratings on each patient on each dimension yielded results leading to these conclusions: (1) Speech indeed follows neuroanatomy and neurophysiology. There are multiple types or patterns of dysarthria, each mirroring a different kind of abnormality of motor functioning. (2) These patterns of dysarthria can be differentiated; they sound different. They consist of definitive groupings of certain dimensions of speech and voice, deviant to distinctive degrees. (3) Five types of dysarthria were delineated: flaccid dysarthria (in bulbar palsy), spastic dysarthria (in pseudobulbar palsy), ataxic dysarthria (in cerebellar disorders), hypokinetic dysarthria (in parkinsonism), and hyperkinetic dysarthria (in dystonia and chorea). Also, a mixed dysarthria combining elements of flaccid and spastic dysarthrias was identified in amyotrophic lateral sclerosis. (4) Observed occurrence of a single dimension uniquely in a given neurologic disease and distinctive co-occurrence of several dimensions can aid diagnostically in identification of neurologic disorders.


2006 ◽  
Vol 253 (12) ◽  
pp. 1649-1650 ◽  
Author(s):  
Sokratis G. Papageorgiou ◽  
Alexandra Antelli ◽  
Anastasios Bonakis ◽  
Evangelos Vassos ◽  
Ioannis Zalonis ◽  
...  

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