Citations

Computer-based analysis systems are increasingly available for the clinical assessment of speech and voice functions. These systems have the potential to provide immediate quantitative information to assist clinical assessment and treatment. The Multi-Dimensional Voice Program (MDVP) is a computer program that can calculate as many as 33 acoustic parameters from a voice sample. The MDVP appears to have potential for rapid quantitative assessments of voice in both research and clinical applications. This report evaluates the robustness and reliability of MDVP for vocal analyses of 32 individuals with dysarthria of various etiologies. It is concluded that the reliability is generally very good and that MDVP has potential as a tool for the semi-automatic analysis of voice samples in dysarthria. Some parameters appear to hold particular value in the description of voice qualities in these speech disorders.

Although ataxic dysarthria has been studied with various methods in several languages, questions remain concerning which features of the disorder are most consistent, which speaking tasks are most sensitive to the disorder, and whether the different speech production subsystems are uniformly affected. Perceptual and acoustic data were obtained from 14 individuals (seven men, seven women) with ataxic dysarthria for several speaking tasks, including sustained vowel phonation, syllable repetition, sentence recitation, and conversation. Multidimensional acoustic analyses of sustained vowel phonation showed that the largest and most frequent abnormality for both men and women was a long-term variability of fundamental frequency. Other measures with a high frequency of abnormality were shimmer and peak amplitude variation (for both sexes) and jitter (for women). Syllable alternating motion rate (AMR) was typically slow and irregular in its temporal pattern. In addition, the energy maxima and minima often were highly variable across repeated syllables, and this variability is thought to reflect poorly coordinated respiratory function and inadequate articulatory/voicing control. Syllable rates tended to be slower for sentence recitation and conversation than for AMR, but the three rates were highly similar. Formant-frequency ranges during sentence production were essentially normal, showing that articulatory hypometria is not a pervasive problem. Conversational samples varied considerably across subjects in intelligibility and number of words/ morphemes in a breath group. Qualitative analyses of unintelligible episodes in conversation showed that these samples generally had a fairly well-defined syllable pattern but subjects differed in the degree to which the acoustic contrasts typical of consonant and vowel sequences were maintained. For some individuals, an intelligibility deficit occurred in the face of highly distinctive (and contrastive) acoustic patterns.

AbstractBackgroundApolipoprotein E ε4 (APOE ε4) is a risk factor for β‐amyloid deposition in Alzheimer's disease dementia. Its influence on β‐amyloid deposition in speech and language disorders, including primary progressive aphasia (PPA), is unclear.MethodsOne hundred thirty subjects with PPA or progressive speech apraxia underwent APOE genotyping and Pittsburgh compound B (PiB) PET scanning. The relationship between APOE ε4 and PiB status, as well as severity and regional distribution of PiB, was assessed.ResultsForty‐five subjects had an APOE ε4 allele and 60 subjects were PiB‐positive. The odds ratio for a subject with APOE ε4 being PiB‐positive compared with a subject without APOE ε4 being PiB‐positive was 10.2 (95% confidence interval, 4.4–25.5; P < .0001). The APOE ε4 allele did not influence regional PiB distribution or severity.ConclusionAPOE ε4 increases the risk of β‐amyloid deposition in PPA and progressive speech apraxia but does not influence regional β‐amyloid distribution or severity.