Compensatory and Serial Processing Models for Relating Electrophysiology, Speech Understanding, and Cognition

Objectives: The objective of this study was to develop a framework for investigating the roles of neural coding and cognition in speech perception. Design: N1 and P3 auditory evoked potentials, QuickSIN speech understanding scores, and the Digit Symbol Coding cognitive test results were used to test the accuracy of either a compensatory processing model or serial processing model. Results: The current dataset demonstrated that neither the compensatory nor the serial processing model were well supported. An additive processing model may best represent the relationships in these data. Conclusions: With the outcome measures used in this study, it is apparent that an additive processing model, where exogenous neural coding and higher order cognition contribute independently, best describes the effects of neural coding and cognition on speech perception. Further testing with additional outcome measures and a larger number of subjects is needed to confirm and further clarify the relationships between these processing domains. Supplemental digital content is available for this article. Direct URL citations appear in the printed text and are provided in the HTML and text of this article on the journal's Web site (www.ear-hearing.com). ACKNOWLEDGMENTS: The authors thank Jane Gordon, Dan McDermott, and Tina Penman for their efforts with data collection and processing. This work was supported by the U.S. Department of Veterans Affairs (RR&D Service, C74554R) and the U.S. National Institutes of Health (NIDCD-DC15240). The contents do not represent the views of the U.S. Department of Veterans Affairs or the U.S. government. The authors have no conflicts of interest to disclose. Address for correspondence: Curtis J. Billings, National Center for Rehabilitative Auditory Research, Veterans Affairs Portland Health Care System, Portland, OR, USA. E-mail: curtis.billings2@va.gov Received January 30, 2018; accepted September 4, 2018. Copyright © 2018 Wolters Kluwer Health, Inc. All rights reserved.

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