Abstract
Researchers, clinicians, and people who stutter find it difficult to adequately explain the variability across contexts in the frequency and severity of stuttering. The purpose of this paper is to present the speech and monitoring interaction framework of stuttering that incorporates potential deficits within the speech production system and a contextually modulated monitoring system to provide a biologically plausible explanation for the contextual variability of stuttering. SAMI incorporates trait and state factors within the speech production system and the monitoring system that can account for stuttering variability. The specificity of the neural substrates of the monitoring system and how the monitor interacts with the speech production system can be used to drive hypotheses based research and computational modeling of the contextual variable stuttering. The framework can also be used clinically to inform clients of the social and emotional factors contributing to their stuttering; while highlighting the importance of addressing these factors in therapy.
Acknowledgements
The author has no financial relationships relevant to this article to disclose. The author is grateful for the assistance from Dr Patricia Zebrowski and Dr Prahlad Gupta for their help in formulating the SAMI framework, and to Dr Barbara Rodriguez and Dr Amy Neel for their helpful comments during the final stages of the paper.
Disclaimer statements
Contributors Richard Arenas is the creator of the SAMI framework and he wrote the entire manuscript.
Funding None.
Conflicts of interest The author has no conflicts-of-interest relevant to this article to disclose.
Ethics approval This paper presents a theoretical framework and as such there was no direct research conducted or reported. Therefore there is no need for ethical approval.
ORCiD
Richard M. Arenas http://orcid.org/0000-0001-5976-314X