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et al., 2009) using ICA as the main pre-processing method. The development of CIAC opens new<br />

doors in the use of EEG as a routine tool to assess auditory cortical function in CI users, since the<br />

types of auditory stimuli, as well as the experimental design do not need to be strongly conditioned in<br />

order to minimize CI artifacts. In the context of CI rehabilitation further research is needed to evaluate<br />

the value of late AEPs, <strong>for</strong> instance in helping with the CI fitting procedure, or in response to speech<br />

sounds in patient groups that cannot voluntarily report their electrical hearing experience, such as early<br />

implanted children (Kileny, 2007). Accordingly we envision that measures of auditory cortex function<br />

as assessed with late AEPs can be of use in CI configuration from initial setup to the long-term<br />

monitoring of rehabilitation progress. We fully agree with the view that developing the ability of the<br />

brain to learn how to use an implant may be as important as further improvements of CI device<br />

technology (Moore and Shannon, 2009). In this context CIAC may be an improvement, as it facilitates<br />

the investigation of auditory cortex functions in CI users.<br />

5. Conclusion<br />

The CIAC algorithm reported here provides a fast, user-friendly and objective method to correct<br />

electrical CI artifacts from AEP recordings. We hope that this freely available tool will support<br />

research investigating auditory cortex reorganization during CI adaptation and rehabilitation, since it is<br />

a significant step towards the objective and efficient study of late AEPs. As CIAC will be provided as<br />

an open source plugin to be used with the popular EEGLAB toolbox, we hope that other researchers<br />

will contribute to its further development, validation and, ultimately, its clinical application.<br />

Acknowledgements<br />

F.C.V. was funded by the Fundacao para a Ciencia e Tecnologia, Lisbon, Portugal<br />

(SFRH/BD/37662/2007). M.D.V. was supported by a Alexander von-Humboldt stipendium. P.S. was<br />

supported by the Swiss National Science Foundation (grant number PBZHP3-128462). The authors<br />

would like to thank A. Barks <strong>for</strong> assistance with recording the data and J.D. Thorne <strong>for</strong> helpful<br />

discussions.<br />

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