Literature DB >> 25361510

Assessment of long-term habituation correlates in event-related potentials using a von Mises model.

Z Mortezapouraghdam, L Haab, F I Corona-Strauss, G Steidl, D J Strauss.   

Abstract

In our preliminary work we were able to demonstrate habituation by analyzing attention correlates in single-trial sequences of auditory event-related potentials (ERPs). Despite different quantitative studies of instantaneous phase of ERPs in long-term habituation, there have been no former studies in generative process underlying the distribution of instantaneous phase information in the context of long-term habituation and its relation to attentional binding. For this means we used a von Mises model, representing the phase information over a set of single trial responses. Additionally we use a quantitative neurofunctional model to predict the dynamics of the instantaneous phase in single-trial ERP data during the long-term habituation. Measured habituation data is used to cross-validate the model's prediction. We conclude that the described method allows for an assessment of dynamic changes in the course of long-term habituation. The results also reinforce our neurofunctional multiscale model of long-term habituation and show the applicability of the described method for the experimental/clinical neurodiagnostic assessment of attentional binding.

Entities:  

Mesh:

Year:  2014        PMID: 25361510     DOI: 10.1109/TNSRE.2014.2361614

Source DB:  PubMed          Journal:  IEEE Trans Neural Syst Rehabil Eng        ISSN: 1534-4320            Impact factor:   3.802


  2 in total

1.  Bayesian Modeling of the Dynamics of Phase Modulations and their Application to Auditory Event Related Potentials at Different Loudness Scales.

Authors:  Zeinab Mortezapouraghdam; Robert C Wilson; Lars Schwabe; Daniel J Strauss
Journal:  Front Comput Neurosci       Date:  2016-01-28       Impact factor: 2.380

2.  Reducing the Effect of Spurious Phase Variations in Neural Oscillatory Signals.

Authors:  Zeinab Mortezapouraghdam; Farah I Corona-Strauss; Kazutaka Takahashi; Daniel J Strauss
Journal:  Front Comput Neurosci       Date:  2018-10-08       Impact factor: 2.380

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.