Skip to main content
Journal of Speech, Language, and Hearing Research : JSLHR logoLink to Journal of Speech, Language, and Hearing Research : JSLHR
. 2019 Nov 22;62(11):3905–3906. doi: 10.1044/2019_JSLHR-19-00297

Introduction to the 2018 Research Symposium Forum

Swathi Kiran a,
PMCID: PMC7203522  PMID: 31756157

Abstract

Purpose

The purpose of this introduction is to provide an overview of the articles contained within this forum of Journal of Speech, Language, and Hearing Research (JSLHR). Each of these articles is based upon presentations from the Research Symposium at the 2018 annual convention of the American Speech-Language-Hearing Association held in Boston, MA.

Question and Answer Panel

https://doi.org/10.23641/asha.11120825


As part of the Research Symposium held at the American Speech-Language-Hearing Association convention every year, presentations that include current advances and innovative ideas on a particular topic are presented. At the 2018 meeting, the topic focused on Advances in Neuroplasticity Research specific to language recovery for people with aphasia. This topic is particularly clinically significant as aphasia affects approximately one third of stroke survivors. According to the National Aphasia Association (2019), about 2 million individuals live with aphasia in the United States, and the numbers are larger across the world. More importantly, difficulty in communication and social isolation that occurs after one suffers from aphasia has a negative impact on one's quality of life, and this impact is greater than other chronic debilitating diseases such as cancer or Alzheimer's disease (Lam & Wodchis, 2010).

Thus, it is imperative for scientists and clinicians to (a) find what causes and how to prevent a stroke, (b) understand the recovery process, (c) identify biomarkers of recovery, (d) develop and rigorously test different types of interventions for people with aphasia, and (e) facilitate access to effective clinical services that these individuals need. Importantly, recent reviews highlight the advances made in our current understanding of how recovery progresses after a stroke and aphasia (Crosson et al., 2019; Kiran & Thompson, 2019). The five articles in this forum cover a range of topics that emphasize recent advances in understanding neuroplasticity, identifying biomarkers of recovery, and ultimately improving treatment outcomes for aphasia.

In the first article, Turkeltaub (2019) proposes a taxonomy for how behavioral outcomes after a stroke may be related to specific consequences in the brain after a stroke. He argues that behavioral outcomes after stroke are related to the nature of the stroke size and site, the neurophysiological processes that underlie the sequelae of the stroke, and the resulting recovery process. While all these factors have been known to clinicians and scientists studying language recovery, Turkeltaub proposes a logical breakdown of individual- and process-specific factors that influence recovery.

In the second article, Kristinsson et al. (2019) present some interesting preliminary data on the potential role of genetic markers in characterizing individuals with aphasia in terms of their language severity and potential for recovery. Kristinsson and colleagues found that individuals with aphasia who had the atypical brain-derived neurotrophic factor (BDNF) genotype (individuals with the Val66met or Met66Met alleles) had more severe language impairment than individuals with typical BNDF genotypes. These results are consistent with Turkeltaub's (2019) taxonomy that identifies individual specific features that exist prior to the stroke but may still influence language recovery and outcome.

In the third article, and keeping with the spirit of improving our understanding of language processing, Wilson et al. (2019) describe adaptive language processing paradigms for use in functional magnetic resonance imaging (fMRI) studies. These tasks examine each individual's language processing ability in a dynamic adaptive fashion that can adjust the task level to specific performance criteria. This way, researchers can use a single fMRI task for all their participants but extract individualized performance levels as performance varies across participants or changes within participants.

In the fourth and final articles, Thompson (2019) and Kiran, Meier, and Johnson (2019) provide a more in-depth analysis of the mechanisms underlying language recovery after rehabilitation in individuals who present with sentence-processing deficits and lexical-processing deficits, respectively. First, Thompson (2019) describes the rigorously documented efficacy data for the treatment of underlying forms (TUF) approach to treat sentence processing deficits (Thompson & Shapiro, 2005). She then describes the neural underpinnings of recovered sentence-processing skills using a variety of neuroimaging approaches linking behavioral and neuroimaging results back to principles of neuroplasticity in chronic aphasia. In the final article, Kiran et al. (2019) present a provocative mechanistic model of language recovery based on their observations from neuroimaging individuals with aphasia who have word-retrieval deficits and receive rehabilitation for these deficits. They suggest that language recovery involves a bilateral network where spared left hemisphere regions have a dominant and important role and that individuals who present with better brain network properties after stroke are likely to also show greater language recovery. These observations align with the overarching taxonomy presented by Turkeltaub (2019) and with the observation by Kristinsson et al. (2019) that pre-stroke factors such as genetic phenotype and structural and functional connectivity may influence the degree of behavioral recovery after a stroke. More work needs to be done to integrate these interconnected factors that can explain individual differences in language impairment, recovery, and responsiveness to rehabilitation. Only then can we begin to accurately understand and recommend the optimal rehabilitation path for each individual survivor of aphasia.

It is anticipated that these articles will generate a lot of discussion about neuroplasticity, recovery, and rehabilitation among clinicians and researchers engaged in the study of aphasia and will, hopefully, benefit individuals with aphasia by getting them the best clinical care.

Acknowledgments

This article stems from the 2018 Research Symposium at the American Speech-Language-Hearing Association Convention, which was supported by the National Institute on Deafness and Other Communication Disorders of the National Institutes of Health under award number R13DC003383. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.

Funding Statement

This article stems from the 2018 Research Symposium at the American Speech-Language-Hearing Association Convention, which was supported by the National Institute on Deafness and Other Communication Disorders of the National Institutes of Health under award number R13DC003383. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.

References

  1. Crosson B., Rodriguez A. D., Copland D., Fridriksson J., Krishnamurthy L. C., Meinzer M., … Leff A. P. (2019). Neuroplasticity and aphasia treatments: New approaches for an old problem. Journal of Neurology, Neurosurgery & Psychiatry, 90, 1147–1155. https://doi.org/10.1136/jnnp-2018-319649 [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. Kiran S., Meier E. L., & Johnson J. (2019). Neuroplasticity in aphasia: A proposed framework of language recovery. Journal of Speech, Language, and Hearing Research, 62, 3973–3985. https://doi.org/10.1044/2019_JSLHR-L-RSNP-19-0054 [DOI] [PMC free article] [PubMed] [Google Scholar]
  3. Kiran S., & Thompson C. K. (2019). Neuroplasticity of language networks in aphasia: Advances, updates and future challenges. Frontiers in Neurology, 10, 295 https://doi.org/10.3389/fneur.2019.00295 [DOI] [PMC free article] [PubMed] [Google Scholar]
  4. Kristinsson S., Yourganov G., Xiao F., Bonilha L., Stark B. C., Rorden C., … Fridriksson J. (2019). Brain-derived neurotrophic factor genotype–specific differences in cortical activation in chronic aphasia. Journal of Speech, Language, and Hearing Research, 62, 3923–3936. https://doi.org/10.1044/2019_JSLHR-L-RSNP-19-0021 [DOI] [PMC free article] [PubMed] [Google Scholar]
  5. Lam J. M., & Wodchis W. P. (2010). The relationship of 60 disease diagnoses and 15 conditions to preference-based health-related quality of life in Ontario hospital-based long-term care residents. Medical Care, 48(4), 380–387. https://doi.org/10.1097/MLR.0b013e3181ca2647 [DOI] [PubMed] [Google Scholar]
  6. National Aphasia Association. (2019). [Homepage]. Retrieved from https://www.aphasia.org/
  7. Thompson C. K. (2019). Neurocognitive recovery of sentence processing in aphasia. Journal of Speech, Language, and Hearing Research, 62, 3947–3972. https://doi.org/10.1044/2019_JSLHR-L-RSNP-19-0219 [DOI] [PMC free article] [PubMed] [Google Scholar]
  8. Thompson C. K., & Shapiro L. P. (2005). Treating agrammatic aphasia within a linguistic framework: Treatment of Underlying Forms. Aphasiology, 19(10–11), 1021–1036. https://doi.org/10.1080/02687030544000227 [DOI] [PMC free article] [PubMed] [Google Scholar]
  9. Turkeltaub P. E. (2019). A taxonomy of brain–behavior relationships after stroke. Journal of Speech, Language, and Hearing Research, 62, 3907–3922. https://doi.org/10.1044/2019_JSLHR-L-RSNP-19-0032 [DOI] [PMC free article] [PubMed] [Google Scholar]
  10. Wilson S. M., Eriksson D. K., Yen M., Demarco A. T., Schneck S. M., & Lucanie J. M. (2019). Language mapping in aphasia. Journal of Speech, Language, and Hearing Research, 62, 3937–3946. https://doi.org/10.1044/2019_JSLHR-L-RSNP-19-0031 [DOI] [PMC free article] [PubMed] [Google Scholar]

Articles from Journal of Speech, Language, and Hearing Research : JSLHR are provided here courtesy of American Speech-Language-Hearing Association

RESOURCES