DocumentCode :
141030
Title :
Modeling prediction of a generalized habituation deficit in decompensated tinnitus sufferers
Author :
Haab, L. ; Mortezapouraghdam, Z. ; Strauss, D.J.
Author_Institution :
Fac. of Med., Saarland Univ., Saarbrucken, Germany
fYear :
2014
fDate :
26-30 Aug. 2014
Firstpage :
5691
Lastpage :
5694
Abstract :
The pathologic auditory sensation in decompensated tinnitus patients is accompanied by the inability to habituate even temporary to this sound. This disability might originate from simultaneous activation of brain areas for the appraisal of the stimulus valence as, e.g., the limbic system. This coactivation of limbic areas is likely to modulate the degree and persistence of selective attention assigned to the tinnitus stream, which in turn could also explain interindividual differences in tinnitus loudness perception. Preliminary studies demonstrate that the amount of allocated attention and the habituation deficit can be mapped to changes in auditory late evoked responses (ALRs). Utilizing a numerical model for the simulation of ALRs we were able to predict a general habituation behavior in two patient groups with different degrees of tinnitus severity. Evaluating the instantaneous phase of simulated and measured ALRs by its von Mises concentration parameter, we verify a habituation deficit relative to the degree of decompensation and thus provide additional support for our neurofunctional model of limbic influences on neural processing of sensory information.
Keywords :
auditory evoked potentials; neurophysiology; physiological models; auditory late evoked responses; decompensated tinnitus patients; decompensated tinnitus sufferers; generalized habituation deficit; limbic area coactivation; limbic system; modeling prediction; numerical model; pathologic auditory sensation; selective attention; sensory information neural processing; simultaneous brain area activation; stimulus valence; tinnitus loudness perception; Acoustics; Auditory system; Brain models; Data models; Physiology; Predictive models;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE
Conference_Location :
Chicago, IL
ISSN :
1557-170X
Type :
conf
DOI :
10.1109/EMBC.2014.6944919
Filename :
6944919
Link To Document :
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