Hostname: page-component-74656f9884-j7cmm Total loading time: 0 Render date: 2026-11-05T20:30:42.791Z Has data issue: false hasContentIssue false

Aprosodia Subsequent to Right Hemisphere Brain Damage: A Systematic Review and Meta-Analysis

Published online by Cambridge University Press:  05 October 2021

Melissa D. Stockbridge*
Affiliation:
Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
Shannon M. Sheppard
Affiliation:
Department of Communication Sciences and Disorders, Chapman University, Irvine, CA, USA
Lynsey M. Keator
Affiliation:
Department of Communication Sciences and Disorders, University of South Carolina, Columbia, SC, USA
Laura L. Murray
Affiliation:
School of Communication Sciences and Disorders, Western University, London, Ontario, Canada
Margaret Lehman Blake
Affiliation:
Department of Communication Sciences and Disorders, University of Houston, Houston, TX, USA
*
*Correspondence and reprint requests to: Melissa D. Stockbridge, Department of Neurology, 600 North Wolfe Street, Phipps 4, Suite 446, Baltimore, MD 21287, USA. E-mail: md.stockbridge@jhmi.edu
Rights & Permissions [Opens in a new window]

Abstract

Objective:

To identify which aspects of prosody are negatively affected subsequent to right hemisphere brain damage (RHD) and to evaluate the methodological quality of the constituent studies.

Method:

Twenty-one electronic databases were searched to identify articles from 1970 to February 2020 by entering keywords. Eligibility criteria for articles included a focus on adults with acquired RHD, prosody as the primary research topic, and publication in a peer-reviewed journal. A quality appraisal was conducted using a rubric adapted from Downs and Black (1998).

Results:

Of the 113 articles appraised as eligible and appropriate for inclusion, 71 articles were selected to undergo data extraction for both meta-analyses of population effect size estimates and qualitative synthesis. Across all domains of prosody, the effect estimate was g = 2.51 [95% CI (1.94, 3.09), t = 8.66, p < 0.0001], based on 129 contrasts between RHD and non-brain-damaged healthy controls (NBD), indicating a significant random effects model. This effect size was driven by findings in emotional prosody, g = 2.48 [95% CI (1.76, 3.20), t = 6.88, p < 0.0001]. Overall, studies of higher quality (rpb = 0.18, p < 0.001) and higher sample size/contrast ratio (rpb = 0.25, p < 0.001) were more likely to report significant differences between RHD and NBD participants.

Conclusions:

The results confirm consistent evidence for emotional prosody deficits in the RHD population. Inconsistent evidence was observed across linguistic prosody domains and pervasive methodological issues were identified across studies, regardless of their prosody focus. These findings highlight the need for more rigorous and sufficiently high-powered designs to examine prosody subsequent to RHD, particularly within the linguistic prosody domain.

Information

Type
Critical Review
Copyright
Copyright © INS. Published by Cambridge University Press, 2021
Figure 0

Fig. 1. Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) flow diagram.

Figure 1

Table 1. Summary of linguistic prosody findings

Figure 2

Table 2. Summary of emotional prosody findings

Figure 3

Fig. 2. Quality ratings and proportion of sample size/contrasts (including effect sizes where available) for all included contrasts across prosody domain. Where available, effect sizes are represented in scale using unfilled points.

Figure 4

Fig. 3. Quality ratings and proportion of sample size/contrasts (including effect sizes where available) for all word-level prosody contrasts. Where available, effect sizes are represented in scale using unfilled points.

Figure 5

Fig. 4. Quality ratings and proportion of sample size/contrasts (including effect sizes where available) for all phrase-level prosody contrasts. Where available, effect sizes are represented in scale using unfilled points.

Figure 6

Fig. 5. Forest plot for phrase-level prosody contrasts.

Figure 7

Fig. 6. Quality ratings and proportion of sample size/contrasts (including effect sizes where available) for all speech act prosody contrasts. Where available, effect sizes are represented in scale using unfilled points.

Figure 8

Fig. 7. Forest plot for speech act prosody contrasts. In contrast marked with an asterisk, inverted performance (RHD > NBD) was both anticipated and observed due to the nature of the dependent variable (e.g., response time, latency, ordinal scales in which higher values denote increased severity).

Figure 9

Fig. 8. Quality ratings and proportion of sample size/contrasts (including effect sizes where available) for all emotional prosody contrasts. Where available, effect sizes are represented in scale using unfilled points.

Figure 10

Fig. 9. Forest plot for emotional prosody discrimination contrasts. In contrasts marked with an asterisk, inverted performance (RHD > NBD) was both anticipated and observed due to the nature of the dependent variable (e.g., response time, latency, ordinal scales in which higher values denote increased severity).

Figure 11

Fig. 10. Forest plot for emotional prosody identification contrasts. In contrast marked with an asterisk, inverted performance (RHD > NBD) was both anticipated and observed due to the nature of the dependent variable (e.g., response time, latency, ordinal scales in which higher values denote increased severity).

Figure 12

Fig. 11. Forest plot for emotional prosody production contrasts. In contrast marked with an asterisk, inverted performance (RHD > NBD) was both anticipated and observed due to the nature of the dependent variable (e.g., response time, latency, ordinal scales in which higher values denote increased severity).

Supplementary material: File

Stockbridge et al. supplementary material

Stockbridge et al. supplementary material

Download Stockbridge et al. supplementary material(File)
File 21.5 KB