Corticothalamic Feedback Dynamics for Neural Correlates of Auditory Selective Attention

Auditory evoked cortical potentials (AECPs) have been consolidated as a diagnostic tool in audiology. Further applications of this technique are in experimental neuropsychology, neuroscience, and psychiatry, e.g., for the attention deficit disorder, schizophrenia, or for studying the tinnitus decomp...

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Bibliographic Details
Published in:IEEE transactions on neural systems and rehabilitation engineering 2009-02, Vol.17 (1), p.46-52
Main Authors: Trenado, Carlos, Haab, Lars, Strauss, Daniel J.
Format: Article
Language:English
Subjects:
Acoustic Stimulation
Algorithms
Attention - physiology
Attention Deficit Hyperactivity Disorder
Auditory Perception - physiology
Auditory selective attention
Auditory system
Brain Mapping
Cerebral Cortex - physiology
corticothalamic feedback
Cybernetics
Electroencephalography
Enterprise resource planning
evoked potentials
Evoked Potentials, Auditory - physiology
Feedback - physiology
Hearing
Hospitals
Humans
Hyperactivity
Large-scale systems
Models, Statistical
Neurodynamics
Neurofeedback
Neuroscience
probabilistic model
Psychiatry
Psychology
single trials processing
Thalamus - physiology
top-down processing
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Summary:Auditory evoked cortical potentials (AECPs) have been consolidated as a diagnostic tool in audiology. Further applications of this technique are in experimental neuropsychology, neuroscience, and psychiatry, e.g., for the attention deficit disorder, schizophrenia, or for studying the tinnitus decompensation. In particular, numerous psychophysiological studies have emphasized their dynamic characteristics in relation to exogenous and endogenous attention. However, the effect of corticothalamic feedback dynamics to neural correlates of focal and nonfocal attention and its large-scale effect reflected in AECPs is far from being understood. To address this issue, we model neural correlates of auditory selective attention reflected in AECPs by using corticothalamic feedback dynamics. In our framework, we make use of a well-known multiscale model of evoked potentials, for which we define for the first time a neurofunctional map of relevant corticothalamic loops to the hearing path. Such loops are in turn are coupled to our proposed probabilistic scheme of auditory selective attention. It is concluded that our model represents a promising approach to gain a deeper understanding of the neurodynamics of auditory attention and might be used as an efficient forward model to support hypotheses that are obtained in experimental paradigms involving AECPs.
ISSN:1534-4320
1558-0210
DOI:10.1109/TNSRE.2008.2010469