Scholars@Duke
David Benjamin Ryan

David Benjamin Ryan

Consulting Associate in the Department of Head and Neck Surgery & Communication Sciences
Head and Neck Surgery & Communication Sciences
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Selected Publications

Performance Monitoring and Cognitive Inhibition during a Speech-in-Noise Task in Older Listeners.

Journal Article Semin Hear · May 2023 The goal of this study was to examine the effect of hearing loss on theta and alpha electroencephalography (EEG) frequency power measures of performance monitoring and cognitive inhibition, respectively, during a speech-in-noise task. It was hypothesized t ... Full text Link to item Cite

Anterior Cruciate Ligament Stability in Soft-Embalmed Cadaver vs In vivo Knee: Alternative Approaches to Medical Education

Journal Article Advances in Medical Education and Practice · January 1, 2023 Introduction: Soft-embalmed cadavers have been used in medical education with a variety of success in different curriculum objectives. In the United States, the ACL is the most commonly injured ligament. Yet, there has been little focus on the stability of ... Full text Cite

Controlling for Lexical Factors in the Word Auditory Recognition and Recall Measure.

Journal Article Ear Hear · September 2022 PURPOSE: The purpose of this study was to confirm that lexical factors associated with the Word Auditory Recognition and Recall Measure (WARRM) items have minimal impact WARRM scores. As the WARRM test was designed to minimize the impact of lexical factors ... Full text Link to item Cite

Impact of Effortful Word Recognition on Supportive Neural Systems Measured by Alpha and Theta Power.

Journal Article Ear Hear · September 2022 OBJECTIVES: The goal of this study was to use theta and alpha electroencephalography (EEG) frequency power and self-report measures to examine performance monitoring, cognitive inhibition, and perceived effort required for speech understanding in noise. It ... Full text Link to item Cite

Development of Abbreviated Versions of the Word Auditory Recognition and Recall Measure.

Journal Article Ear Hear · April 22, 2020 OBJECTIVES: The objective of this study was to develop and evaluate abbreviated versions of the Word Auditory Recognition and Recall Measure (WARRM) as part of an iterative process in the development of a feasible test for potential future clinical use. DE ... Full text Link to item Cite

Evaluating Brain-Computer Interface Performance in an ALS Population: Checkerboard and Color Paradigms.

Journal Article Clin EEG Neurosci · March 2018 The objective of this study was to investigate the performance of 3 brain-computer interface (BCI) paradigms in an amyotrophic lateral sclerosis (ALS) population (n = 11). Using a repeated-measures design, participants completed 3 BCI conditions: row/colum ... Full text Link to item Cite

Evaluating brain-computer interface performance using color in the P300 checkerboard speller.

Journal Article Clin Neurophysiol · October 2017 OBJECTIVE: Current Brain-Computer Interface (BCI) systems typically flash an array of items from grey to white (GW). The objective of this study was to evaluate BCI performance using uniquely colored stimuli. METHODS: In addition to the GW stimuli, the cur ... Full text Link to item Cite

Applying dynamic data collection to improve dry electrode system performance for a P300-based brain-computer interface.

Journal Article J Neural Eng · December 2016 OBJECTIVE: Dry electrodes have an advantage over gel-based 'wet' electrodes by providing quicker set-up time for electroencephalography recording; however, the potentially poorer contact can result in noisier recordings. We examine the impact that this may ... Full text Link to item Cite

Increasing BCI communication rates with dynamic stopping towards more practical use: an ALS study.

Journal Article J Neural Eng · February 2015 OBJECTIVE: The P300 speller is a brain-computer interface (BCI) that can possibly restore communication abilities to individuals with severe neuromuscular disabilities, such as amyotrophic lateral sclerosis (ALS), by exploiting elicited brain signals in el ... Full text Link to item Cite

Noninvasive brain-computer interface enables communication after brainstem stroke.

Journal Article Sci Transl Med · October 8, 2014 Brain-computer interfaces (BCIs) provide communication that is independent of muscle control, and can be especially important for individuals with severe neuromuscular disease who cannot use standard communication pathways or other assistive technology. It ... Full text Link to item Cite

Channel selection methods for the P300 Speller.

Journal Article J Neurosci Methods · July 30, 2014 The P300 Speller brain-computer interface (BCI) allows a user to communicate without muscle activity by reading electrical signals on the scalp via electroencephalogram. Modern BCI systems use multiple electrodes ("channels") to collect data, which has bee ... Full text Link to item Cite

Bayesian approach to dynamically controlling data collection in P300 spellers.

Journal Article IEEE Trans Neural Syst Rehabil Eng · May 2013 P300 spellers provide a noninvasive method of communication for people who may not be able to use other communication aids due to severe neuromuscular disabilities. However, P300 spellers rely on event-related potentials (ERPs) which often have low signal- ... Full text Link to item Cite

A general P300 brain-computer interface presentation paradigm based on performance guided constraints.

Journal Article Neurosci Lett · December 7, 2012 An electroencephalographic-based brain-computer interface (BCI) can provide a non-muscular method of communication. A general model for P300-based BCI stimulus presentations is introduced--the "m choose n" or C(m (number of flashes per sequence), n (number ... Full text Link to item Cite

Optimizing the P300-based brain-computer interface: current status, limitations and future directions.

Conference J Neural Eng · April 2011 This paper summarizes the presentations and discussions at a workshop held during the Fourth International BCI Meeting charged with reviewing and evaluating the current state, limitations and future development of P300-based brain-computer interface (P300- ... Full text Link to item Cite

Predictive spelling with a P300-based brain-computer interface: Increasing the rate of communication

Journal Article International Journal of Human-Computer Interaction · January 1, 2011 This study compared a conventional P300 speller brain-computer interface (BCI) to one used in conjunction with a predictive spelling program. Performance differences in accuracy, bit rate, selections per minute, and output characters per minute (OCM) were ... Full text Cite