BibTex RIS Kaynak Göster

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Yıl 2006, Cilt: 19 Sayı: 1, 6 - 12, 26.06.2015

Öz

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Kaynakça

  • 1. Karakaş S, Erzengin ÖU, Başar E. A new strategy involving multiple cognitive paradigms demonstrates that ERP components are determined by the superposition of oscillatory responses. Clin Neurophysiol 2000; 111: 1719-1732
  • 2. Başar E. EEG-Brain Dynamics: Relation between EEG and Brain Evoked-Potentials. Amsterdam: Elsevier Publication,1980.
  • 3. Brandt ME, Jansen BH. The relationship between prestimulus alpha amplitude and visual evoked potential amplitude. Int J Neurosci 1991; 61: 261-8.
  • 4. Jervis BW, Nichols MJ, Johnson TE, Allen, Hudson NR. A fundamental investigation of the composition of auditory evoked potentials. IEEE Trans Biomed Eng 1983; 30: 43-49.
  • 5. Kolev V, Yordanova J. Analysis of phase-locking is informative for studying event-related EEG activity. Biol Cybern 1997; 96: 229-235.
  • 6. Parvin C, Torres F, Johnson E. Synchronization of single evoked response components: Estimation and interrelation of reproducibility measures. In Rhythmic EEG Activities and Cortical Functioning. Amsterdam: Elsevier, 1980.
  • 7. Röschke J, Mann K, Riemann D, Frank C, Fell J. Sequential analysis of the brain’s transfer properties during consecutive REM periods. Electroencephalogr Clin Neurophysiol 1995; 96: 390-397.
  • 8. Solodovnikov VV. Introduction to the Statistical Dynamics of Automatic Control Systems. New York: Dover Publications 1960.
  • 9. Başar E. Brain Function and Oscillations I: Brain Oscillations. Principles and Approaches Heidelberg: Springer-Verlag 1998.
  • 10. Başar E. Brain Function and Oscillations II: Integrative Brain Function. Neurophysiology and Cognitive Processes. Heidelberg: Springer-Verlag 1999.
  • 11. Cohen L. Time-frequency distributions: A review. Proc IEEE 1989; 77 (7): 941-81.
  • 12. Demiralp T, Ademoğlu A, Schürmann M, Başar E. Wavelet analysis of brain waves. In: Başar E, editor. Brain Function and Oscillations: I. Brain Oscillations. Principles and Approaches. Heidelberg: Springer-Verlag 1998.
  • 13. Demiralp T, Ademoğlu A, Schürmann M, Başar-Eroğlu C, Başar E. Detection of P300 in single trials by the wavelet transform (WT). Brain Lang 1999; 66: 108-128.
  • 14. Özdemir AK., Karakaş S, Çakmak ED, Tüfekçi Dİ., Arıkan O. Time-frequency component analyser and its application to brain oscillatory activity. Journal of Neuroscience Methods 2005; 145: 107-125.
  • 15. Rosso OA, Blanco S, Yordanova J, Kolev V, Figliola A, Schürmann M, Başar E. Wavelet entropy: A new tool for analysis of short-duration brain electrical signals. J Neurosci Methods 2001; 105: 65-75.
  • 16. Samar VJ, Bobardikar A, Rao R, Swartz K. Wavelet analysis of neuroelectric waveforms: A conceptual tutorial. Brain and Lang 1999; 66: 7-60.
  • 17. Tağluk, M.E., Çakmak, E.D., Karakaş, S. Analysis of time-varying energy of brain responses to an oddball paradigm using short-term smoothed Wigner-Ville distribution. Journal of Neuroscience Methods 2005; 143: 197-208.
  • 18. Yordonova J, Kolev V, Rosso OA, et al. Wavelet entropy analysis of event-related potentials indicates modality of independent theta dominance. J Neurosci Methods 2002; 117: 99-109.
  • 19. Farwell LA, Martinerie JM, Bashore TR, Rapp PE, Goddard PH. Optimal digital filters for long-latency components of the event-related brain potential. Psychophysiology 1993; 30: 306-315.
  • 20. Cook III. EW, Miller GA. Digital filtering: Background and tutorial for psychophysiologists. Psychophysiology 1992; 29: 350-367.
  • 21. Box GEP, Jenkins GM, Reinsel GC. Time Series Analysis, Forecasting and Control, 3rd ed. NJ: Prentice Hall 1994.
  • 22. Demiralp T, Başar E. Theta rhytmicities following expected visual and auditory targets. Int J Psychophysiol 1992; 13: 147-160

EEG TEMELLİ OLAY-İLİŞKİ BEYİN DALGALARININ İSTATİSTİKSEL ZAMAN SERİLERİ İLE MODELLENMESİ

Yıl 2006, Cilt: 19 Sayı: 1, 6 - 12, 26.06.2015

Öz

Amaç: Çalışmanın amacı beyinin olay ilişki aktivesinin alfa osilasyonlarının Otoregresif Bütünleşik
Hareketli Ortalama - ARIMA – modeli ile açıklamaktır.
Yöntem: Çalışan örneklem 17 (11 erkek, 6 kadın) sağ elini kullanan, sağlıklı gönüllülerden oluşmuştur. Olay
ilişkili aktivite, atlanmış uyarıcı paradigması altında kaydedilmiştir. Alfa tepkisi sayısal filtreyle elde
edilmiştir. Her katılımcının alfa tepksi ayrı ayrı analiz edilmiştir.
Bulgular: Yapılan çalışma göstermektedir ki her bir katılımcının atlanmış uyarıcı paradigması için alfa
tepkisi, ARIMA (0,2,1) tipindeki zaman serisiyle en iyi modellenebilmektedir.
Sonuç: Yapılan çalışma atlanmış uyarıcı paradigması altında elde edilmiş, bir katılımcının alfa tepkilerinin
en iyi ARIMA (0, 2, 1) zaman serisiyle modellendiğini göstermiştir.

Kaynakça

  • 1. Karakaş S, Erzengin ÖU, Başar E. A new strategy involving multiple cognitive paradigms demonstrates that ERP components are determined by the superposition of oscillatory responses. Clin Neurophysiol 2000; 111: 1719-1732
  • 2. Başar E. EEG-Brain Dynamics: Relation between EEG and Brain Evoked-Potentials. Amsterdam: Elsevier Publication,1980.
  • 3. Brandt ME, Jansen BH. The relationship between prestimulus alpha amplitude and visual evoked potential amplitude. Int J Neurosci 1991; 61: 261-8.
  • 4. Jervis BW, Nichols MJ, Johnson TE, Allen, Hudson NR. A fundamental investigation of the composition of auditory evoked potentials. IEEE Trans Biomed Eng 1983; 30: 43-49.
  • 5. Kolev V, Yordanova J. Analysis of phase-locking is informative for studying event-related EEG activity. Biol Cybern 1997; 96: 229-235.
  • 6. Parvin C, Torres F, Johnson E. Synchronization of single evoked response components: Estimation and interrelation of reproducibility measures. In Rhythmic EEG Activities and Cortical Functioning. Amsterdam: Elsevier, 1980.
  • 7. Röschke J, Mann K, Riemann D, Frank C, Fell J. Sequential analysis of the brain’s transfer properties during consecutive REM periods. Electroencephalogr Clin Neurophysiol 1995; 96: 390-397.
  • 8. Solodovnikov VV. Introduction to the Statistical Dynamics of Automatic Control Systems. New York: Dover Publications 1960.
  • 9. Başar E. Brain Function and Oscillations I: Brain Oscillations. Principles and Approaches Heidelberg: Springer-Verlag 1998.
  • 10. Başar E. Brain Function and Oscillations II: Integrative Brain Function. Neurophysiology and Cognitive Processes. Heidelberg: Springer-Verlag 1999.
  • 11. Cohen L. Time-frequency distributions: A review. Proc IEEE 1989; 77 (7): 941-81.
  • 12. Demiralp T, Ademoğlu A, Schürmann M, Başar E. Wavelet analysis of brain waves. In: Başar E, editor. Brain Function and Oscillations: I. Brain Oscillations. Principles and Approaches. Heidelberg: Springer-Verlag 1998.
  • 13. Demiralp T, Ademoğlu A, Schürmann M, Başar-Eroğlu C, Başar E. Detection of P300 in single trials by the wavelet transform (WT). Brain Lang 1999; 66: 108-128.
  • 14. Özdemir AK., Karakaş S, Çakmak ED, Tüfekçi Dİ., Arıkan O. Time-frequency component analyser and its application to brain oscillatory activity. Journal of Neuroscience Methods 2005; 145: 107-125.
  • 15. Rosso OA, Blanco S, Yordanova J, Kolev V, Figliola A, Schürmann M, Başar E. Wavelet entropy: A new tool for analysis of short-duration brain electrical signals. J Neurosci Methods 2001; 105: 65-75.
  • 16. Samar VJ, Bobardikar A, Rao R, Swartz K. Wavelet analysis of neuroelectric waveforms: A conceptual tutorial. Brain and Lang 1999; 66: 7-60.
  • 17. Tağluk, M.E., Çakmak, E.D., Karakaş, S. Analysis of time-varying energy of brain responses to an oddball paradigm using short-term smoothed Wigner-Ville distribution. Journal of Neuroscience Methods 2005; 143: 197-208.
  • 18. Yordonova J, Kolev V, Rosso OA, et al. Wavelet entropy analysis of event-related potentials indicates modality of independent theta dominance. J Neurosci Methods 2002; 117: 99-109.
  • 19. Farwell LA, Martinerie JM, Bashore TR, Rapp PE, Goddard PH. Optimal digital filters for long-latency components of the event-related brain potential. Psychophysiology 1993; 30: 306-315.
  • 20. Cook III. EW, Miller GA. Digital filtering: Background and tutorial for psychophysiologists. Psychophysiology 1992; 29: 350-367.
  • 21. Box GEP, Jenkins GM, Reinsel GC. Time Series Analysis, Forecasting and Control, 3rd ed. NJ: Prentice Hall 1994.
  • 22. Demiralp T, Başar E. Theta rhytmicities following expected visual and auditory targets. Int J Psychophysiol 1992; 13: 147-160
Toplam 22 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Bölüm Makaleler
Yazarlar

Ömer Erzengin

Vildan Sümbüloğlu

Sirel Karakaş

Yayımlanma Tarihi 26 Haziran 2015
Yayımlandığı Sayı Yıl 2006 Cilt: 19 Sayı: 1

Kaynak Göster

APA Erzengin, Ö., Sümbüloğlu, V., & Karakaş, S. (2015). EEG TEMELLİ OLAY-İLİŞKİ BEYİN DALGALARININ İSTATİSTİKSEL ZAMAN SERİLERİ İLE MODELLENMESİ. Marmara Medical Journal, 19(1), 6-12.
AMA Erzengin Ö, Sümbüloğlu V, Karakaş S. EEG TEMELLİ OLAY-İLİŞKİ BEYİN DALGALARININ İSTATİSTİKSEL ZAMAN SERİLERİ İLE MODELLENMESİ. Marmara Med J. Ağustos 2015;19(1):6-12.
Chicago Erzengin, Ömer, Vildan Sümbüloğlu, ve Sirel Karakaş. “EEG TEMELLİ OLAY-İLİŞKİ BEYİN DALGALARININ İSTATİSTİKSEL ZAMAN SERİLERİ İLE MODELLENMESİ”. Marmara Medical Journal 19, sy. 1 (Ağustos 2015): 6-12.
EndNote Erzengin Ö, Sümbüloğlu V, Karakaş S (01 Ağustos 2015) EEG TEMELLİ OLAY-İLİŞKİ BEYİN DALGALARININ İSTATİSTİKSEL ZAMAN SERİLERİ İLE MODELLENMESİ. Marmara Medical Journal 19 1 6–12.
IEEE Ö. Erzengin, V. Sümbüloğlu, ve S. Karakaş, “EEG TEMELLİ OLAY-İLİŞKİ BEYİN DALGALARININ İSTATİSTİKSEL ZAMAN SERİLERİ İLE MODELLENMESİ”, Marmara Med J, c. 19, sy. 1, ss. 6–12, 2015.
ISNAD Erzengin, Ömer vd. “EEG TEMELLİ OLAY-İLİŞKİ BEYİN DALGALARININ İSTATİSTİKSEL ZAMAN SERİLERİ İLE MODELLENMESİ”. Marmara Medical Journal 19/1 (Ağustos 2015), 6-12.
JAMA Erzengin Ö, Sümbüloğlu V, Karakaş S. EEG TEMELLİ OLAY-İLİŞKİ BEYİN DALGALARININ İSTATİSTİKSEL ZAMAN SERİLERİ İLE MODELLENMESİ. Marmara Med J. 2015;19:6–12.
MLA Erzengin, Ömer vd. “EEG TEMELLİ OLAY-İLİŞKİ BEYİN DALGALARININ İSTATİSTİKSEL ZAMAN SERİLERİ İLE MODELLENMESİ”. Marmara Medical Journal, c. 19, sy. 1, 2015, ss. 6-12.
Vancouver Erzengin Ö, Sümbüloğlu V, Karakaş S. EEG TEMELLİ OLAY-İLİŞKİ BEYİN DALGALARININ İSTATİSTİKSEL ZAMAN SERİLERİ İLE MODELLENMESİ. Marmara Med J. 2015;19(1):6-12.