Literature DB >> 25637540

Advanced analysis of auditory evoked potentials in hyperthyroid patients: the effect of filtering.

Ayşegül Güven1, Miray Altınkaynak, Nazan Dolu, Kürşat Ünlühızarcı.   

Abstract

The purpose of the study is to evaluate Auditory Evoked Potentials (AEPs) in patients with hyperthyroidism and to compare their frequency components with those of healthy subjects. In this study the AEPs in hyperthyroidism were studied both in time and frequency domains rather than studying just in the time domain by peak scoring. This paper presents a method for filtering auditory oddball standard and target AEPs by using singular spectrum analysis (SSA) and feature extraction in the frequency domain via spectral analysis. AEPs were recorded during an auditory oddball paradigm in 25 newly diagnosed hyperthyroid patients and 15 healthy subjects. The signals are captured in the presence of ongoing background EEG activity so they are often contaminated by artifacts. This paper presents a method for filtering auditory odd-ball standard and target AEPs by using Singular spectrum analysis and feature extraction in frequency domain via spectral analysis. Information about the frequency composition of the signal is then used to compare normal and hyperthyroid states. While there was no significant difference either in the target or standard unfiltered signals between the hyperthyroid patients and the control group (p > 0.05), there was a significant difference in the filtered signals between the two groups (p < 0.01). In conclusion, our results revealed that SSA is an effective filtering method for AEPs. Thus, a much more objective and specific examination method was developed.

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Year:  2015        PMID: 25637540     DOI: 10.1007/s10916-014-0184-0

Source DB:  PubMed          Journal:  J Med Syst        ISSN: 0148-5598            Impact factor:   4.460


  24 in total

1.  Event-related brain potentials in patients with hypothyroidism.

Authors:  M Ozata; A Ozkardes; A Corakci; Z Beyhan; M A Gundogan
Journal:  Endocr Pract       Date:  1997 Nov-Dec       Impact factor: 3.443

2.  On wavelet analysis of auditory evoked potentials.

Authors:  A P Bradley; W J Wilson
Journal:  Clin Neurophysiol       Date:  2004-05       Impact factor: 3.708

3.  A new approach for concealed information identification based on ERP assessment.

Authors:  Min Zhao; Chongxun Zheng; Chunlin Zhao
Journal:  J Med Syst       Date:  2011-04-16       Impact factor: 4.460

4.  Phase information in visual evoked potentials.

Authors:  E Micheli-Tzanakou; S Pavlopoulos
Journal:  J Med Syst       Date:  1997-08       Impact factor: 4.460

5.  Auditory evoked potential variability in healthy and schizophrenia subjects.

Authors:  Ben H Jansen; Lingli Hu; Nash N Boutros
Journal:  Clin Neurophysiol       Date:  2010-04-02       Impact factor: 3.708

6.  Spectral analysis of auditory evoked potentials with pseudorandom noise excitation.

Authors:  S N Reddy; R L Kirlin
Journal:  IEEE Trans Biomed Eng       Date:  1979-08       Impact factor: 4.538

7.  Alterations of cognitive functions induced by exogenous application of thyroid hormones in healthy men: a double-blind cross-over study using event-related brain potentials.

Authors:  T F Münte; C Radamm; S Johannes; G Brabant
Journal:  Thyroid       Date:  2001-04       Impact factor: 6.568

8.  Power spectral analysis of normal and pathological brainstem auditory evoked potentials.

Authors:  M V Kamath; S N Reddy; D N Ghista; A R Upton
Journal:  Int J Biomed Comput       Date:  1987-07

9.  Auditory brainstem response findings in hypothyroid and hyperthyroid disease.

Authors:  A R D Thornton; S J Jarvis
Journal:  Clin Neurophysiol       Date:  2008-02-20       Impact factor: 3.708

10.  Design and implementation of an SVM-based computer classification system for discriminating depressive patients from healthy controls using the P600 component of ERP signals.

Authors:  I Kalatzis; N Piliouras; E Ventouras; C C Papageorgiou; A D Rabavilas; D Cavouras
Journal:  Comput Methods Programs Biomed       Date:  2004-07       Impact factor: 5.428

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  1 in total

1.  A computer-aided diagnosis of multiple sclerosis based on mfVEP recordings.

Authors:  Luis de Santiago; E M Sánchez Morla; Miguel Ortiz; Elena López; Carlos Amo Usanos; M C Alonso-Rodríguez; R Barea; Carlo Cavaliere-Ballesta; Alfredo Fernández; Luciano Boquete
Journal:  PLoS One       Date:  2019-04-04       Impact factor: 3.240

  1 in total

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