Carly A. Anderson
Preoperative brain imaging using functional near-infrared spectroscopy helps predict cochlear implant outcome in deaf adults
Anderson, Carly A.; Wiggins, Ian M.; Kitterick, Padraig T.; Hartley, Douglas E.H.
Authors
Dr IAN WIGGINS IAN.WIGGINS@NOTTINGHAM.AC.UK
Senior Research Fellow
Padraig T. Kitterick
DOUGLAS HARTLEY Douglas.Hartley@nottingham.ac.uk
Professor of Otology
Abstract
Currently it is not possible to accurately predict how well a deaf individual will be able to understand speech when hearing is (re)introduced via a cochlear implant. Differences in brain organisation following deafness are thought to contribute to variability in speech understanding with a cochlear implant and may offer unique insights that could help to more reliably predict outcomes. An emerging optical neuroimaging technique, functional near-infrared spectroscopy (fNIRS), was used to determine whether a preoperative measure of brain activation could explain variability in CI outcomes and offer additional prognostic value above that provided by known clinical characteristics. Cross-modal activation to visual speech was measured in bilateral superior temporal cortex of profoundly deaf adults before cochlear implantation. Behavioural measures of auditory speech understanding were obtained in the same individuals following six months of cochlear-implant use. The results showed that stronger preoperative cross-modal activation of auditory brain regions by visual speech was predictive of poorer auditory speech understanding after implantation. Further investigation suggested that this relationship may have been driven primarily by group differences between pre- and post-lingually deaf individuals. Nonetheless, preoperative cortical imaging provided additional prognostic value above that of influential clinical characteristics, including the age-at-onset and duration of auditory deprivation, suggesting that objectively assessing the physiological status of the brain using fNIRS imaging preoperatively may support more accurate prediction of individual CI outcomes. Whilst activation of auditory brain regions by visual speech prior to implantation was related to the CI user’s clinical history of deafness, activation to visual speech did not relate to the future ability of these brain regions to respond to auditory speech stimulation with a CI. Greater preoperative activation of left superior temporal cortex by visual speech was associated with enhanced speechreading abilities, suggesting that visual-speech processing may help to maintain left temporal-lobe specialisation for language processing during periods of profound deafness.
Citation
Anderson, C. A., Wiggins, I. M., Kitterick, P. T., & Hartley, D. E. (2019). Preoperative brain imaging using functional near-infrared spectroscopy helps predict cochlear implant outcome in deaf adults. Journal of the Association for Research in Otolaryngology, 20(5), 511–528. https://doi.org/10.1007/s10162-019-00729-z
Journal Article Type | Article |
---|---|
Acceptance Date | Jun 13, 2019 |
Online Publication Date | Jul 8, 2019 |
Publication Date | Oct 31, 2019 |
Deposit Date | Jun 17, 2019 |
Publicly Available Date | Jul 9, 2020 |
Journal | Journal of the Association for Research in Otolaryngology |
Print ISSN | 1525-3961 |
Electronic ISSN | 1438-7573 |
Publisher | Springer Verlag |
Peer Reviewed | Peer Reviewed |
Volume | 20 |
Issue | 5 |
Pages | 511–528 |
DOI | https://doi.org/10.1007/s10162-019-00729-z |
Keywords | Cochlear implantation; Cross-modal plasticity; Functional near-infrared spectroscopy; Prognostic imaging; Speechreading; Superior temporal cortex |
Public URL | https://nottingham-repository.worktribe.com/output/1839096 |
Publisher URL | https://link.springer.com/article/10.1007%2Fs10162-019-00729-z |
Additional Information | This is a post-peer-review, pre-copyedit version of an article published in Journal of the Association for Research in Otolaryngology. The final authenticated version is available online at: http://dx.doi.org/10.1007/s10162-019-00729-z |
Contract Date | Jun 17, 2019 |
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