Objective quantification of the tinnitus decompensation by synchronization measures of auditory evoked single sweeps

2008 | journal article. A publication with affiliation to the University of Göttingen.

Jump to: Cite & Linked | Documents & Media | Details | Version history

Cite this publication

​Objective quantification of the tinnitus decompensation by synchronization measures of auditory evoked single sweeps​
Strauss, D. J.; Delb, W.; D'Amelio, R.; Low, Y. F. & Falkai, P.​ (2008) 
IEEE Transactions on Neural Systems and Rehabilitation Engineering16(1) pp. 74​-81​.​ DOI: https://doi.org/10.1109/TNSRE.2007.911086 

Documents & Media

License

GRO License GRO License

Details

Authors
Strauss, Daniel J.; Delb, Wolfgang; D'Amelio, Roberto; Low, Yin Fen; Falkai, Peter
Abstract
Large-scale neural correlates of the tinnitus decompensation might be used for an objective evaluation of therapies and neurofeedback based therapeutic approaches. In this study, we try to identify large-scale neural correlates of the tinnitus decompensation using wavelet phase stability criteria of single sweep sequences of late auditory evoked potentials as synchronization stability measure. The extracted measure provided an objective quantification of the tinnitus decompensation and allowed for a reliable discrimination between a group of compensated and decompensated tinnitus patients. We provide an interpretation for our results by a neural model of top-down projections based on the Jastreboff tinnitus model combined with the adaptive resonance theory which has not been applied to model tinnitus so far. Using this model, our stability measure of evoked potentials can be linked to the focus of attention on the tinnitus signal. It is concluded that the wavelet phase stability of late auditory evoked potential single sweeps might be used as objective tinnitus decompensation measure and can be interpreted in the framework of the Jastreboff tinnitus model and adaptive resonance theory.
Issue Date
2008
Status
published
Publisher
Ieee-inst Electrical Electronics Engineers Inc
Journal
IEEE Transactions on Neural Systems and Rehabilitation Engineering 
ISSN
1558-0210; 1534-4320

Reference

Citations


Social Media