Characterizing sentence intonation in a right hemisphere-damaged population.
Current production studies present a mixed view of right hemisphere-damaged (RHD) patients' ability to produce normal sentence intonation. The present study characterized the sentence intonation of RHD patients, focusing on a greater number of acoustic parameters than past works, and relying on more naturally elicited speech samples through use of a story completion task. Eight RHD speakers and seven nonneurological control subjects produced declarative and imperative sentences as well as yes-no and wh-questions. Slope of F0 change, linearity of pitch contour, and variance of F0 points were calculated for each utterance as a whole, as well as for the preterminal and the terminal contour separately. RHD contours were less linear and flatter in F0 decline than normal controls for the declarative sentences. The patients' yes-no questions also differed from normal productions, displaying smaller F0 dispersion around a mean F0. Preterminal range values were more restricted for patients' utterances of yes-no questions, while terminal properties between groups differed for three of the four sentence types examined. The present results suggest some disturbance in the patients' ability to manipulate fundamental frequency across sentential domains. These data are discussed in terms of current theories of a general dysprosody in RHD patients.
Behrens
S J
SJ
Department of Cognitive and Linguistic Sciences, Brown University.
D001921:Brain / Q000503:physiopathology; D001925:Brain Damage, Chronic / Q000503:physiopathology*; D002540:Cerebral Cortex / Q000503:physiopathology; D002544:Cerebral Infarction / Q000503:physiopathology*; D004292:Dominance, Cerebral / Q000502:physiology*; D006801:Humans; D008297:Male; D008875:Middle Aged; D009434:Neural Pathways / Q000503:physiopathology; D010700:Phonetics; D012815:Signal Processing, Computer-Assisted; D013018:Sound Spectrography; D013068:Speech Production Measurement; D014057:Tomography, X-Ray Computed; D014833:Voice Quality