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Distribution of auditory perturbation responses (Miller et al., 2023)

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posted on 2023-10-18, 13:45 authored by Hilary E. Miller, Elaine Kearney, Alfonso Nieto-Castanon, Riccardo Falsini, Defne Abur, Alexander Acosta, Sara-Ching Chao, Kimberly L. Dahl, Matthias Franken, Elizabeth S. Heller Murray, Fatemeh Mollaei, Caroline A. Niziolek, Benjamin ParrellBenjamin Parrell, Tyler Perrachione, Dante J. Smith, Cara E. Stepp, Nicole E. Tomassi, Frank H. Guenther

Purpose: The practice of removing “following” responses from speech perturbation analyses is increasingly common, despite no clear evidence as to whether these responses represent a unique response type. This study aimed to determine if the distribution of responses to auditory perturbation paradigms represents a bimodal distribution, consisting of two distinct response types, or a unimodal distribution.

Method: This mega-analysis pooled data from 22 previous studies to examine the distribution and magnitude of responses to auditory perturbations across four tasks: adaptive pitch, adaptive formant, reflexive pitch, and reflexive formant. Data included at least 150 unique participants for each task, with studies comprising younger adult, older adult, and Parkinson’s disease populations. A Silverman’s unimodality test followed by a smoothed bootstrap resampling technique was performed for each task to evaluate the number of modes in each distribution. Wilcoxon signed-ranks tests were also performed for each distribution to confirm significant compensation in response to the perturbation.

Results: Modality analyses were not significant (p > .05) for any group or task, indicating unimodal distributions. Our analyses also confirmed compensatory reflexive responses to pitch and formant perturbations across all groups, as well as adaptive responses to sustained formant perturbations. However, analyses of sustained pitch perturbations only revealed evidence of adaptation in studies with younger adults.

Conclusion: The demonstration of a clear unimodal distribution across all tasks suggests that following responses do not represent a distinct response pattern, but rather the tail of a unimodal distribution.

Supplemental Material S1. Sensitivity analyses for Silverman’s modality tests.

Supplemental Material S2. Summary of descriptive statistics and distributions for individual studies.

Supplemental Material S3. Average trace plots for each study.

Supplemental Material S4. Modality test results for older adult (OA) & younger adult (YA) groups, analyzed separately.

Miller, H. E., Kearney, E., Nieto-Castañón, A., Falsini, R., Abur, D., Acosta, A., Chao, S.-C., Dahl, K. L., Franken, M., Heller Murray, E. S., Mollaei, F., Niziolek, C. A., Parrell, B., Perrachione, T., Smith, D. J., Stepp, C. E., Tomassi, N., & Guenther, F. H. (2023). Do not cut off your tail: A mega-analysis of responses to auditory perturbation experiments. Journal of Speech, Language, and Hearing Research. Advance online publication. https://doi.org/10.1044/2023_JSLHR-23-00315

Funding

This research was supported by National Institute on Deafness and Other Communication Disorders Grants R01 DC002852 (F. H. Guenther, Principal Investigator [PI]), R01 DC007683 (F. H. Guenther, PI), R01 DC015570 (C. E. Stepp, PI), R01 DC016270 (F. H. Guenther and C. E. Stepp, Multiple Principle Investigators [MPIs]), R01 DC011277 (S.-E. Chang, PI), R01 DC017091 (B. Parrell, PI), R00 DC014520 (C. A. Niziolek, PI), R21 DC017563 (A. Daliri, PI), T32 DC013017 (C. Moore and C. E. Stepp, MPIs), T90 DA032484, (B. Shinn-Cunningham, PI), P50 DC015446 (R. Hillman, PI), F31 DC016197 (E. S. Heller Murray, PI), F31 DC019032 (D. Abur, PI), and F31 DC020352 (H. Miller, PI). Additionally, this work was supported by the Natural Sciences and Engineering Research Council of Canada (awarded to S. Baum and V. Gracco), ASHFoundation New Century Scholars Doctoral Scholarships (D. Abur, K. Dahl, and H. Miller), a Stetson Scholarship from the Acoustical Society of America (H. Miller), graduate fellow awards from the Rafik B. Hariri Institute for Computing and Computational Science & Engineering (D. Abur and H. Miller), and a Dudley Allen Sargent Research Fund Award (D. Abur).

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