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Obsesif Kompulsif Bozukluk Hastalarında Klinik Değerlendirme Ölçekleri ile EEG Senkronizasyonu Arasındaki Korelasyon

Year 2018, Volume: 22 Issue: 2, 667 - 670, 15.08.2018

Abstract

Obsesif Kompulsif Bozuklular (OKB) başka psikiyatrik belirtilerin de eşlik edebildiği nöropsikiyatrik bir hastalıktır. OKB için başlıca klinik değerlendirme kriteri, Yale-Brown Obsesyon Kompulsiyon Ölçeği (YBOKÖ) olsa da bunun yanı sıra, Hamilton Depresyon Değerlendirme Ölçeği (HDDÖ), Beck Anksiyete Ölçeği (BAÖ)de kullanılmaktadır. Bu çalışma da OKB değerlendirme ölçekleri ile EEG senkronizasyonu arasında ki ilişki incelenmiştir. EEG senkronizasyonunu belirlemek için Global Alan Senkronizasyonu yöntemi ile hesaplanan GAS indisi kullanılmıştır. 30 adet OKB hastasına ait GAS indisleri ile bu hastalara ait OKB Klinik Değerlendirme Ölçekleri, arasındaki ilişki Spearman-rho korelasyon yöntemi ile incelenmiştir. Analiz sonuçlarına göre alfa 1 frekans bandında ki GAS değerleri ile BAÖ arasında negatif ilişki bulunurken, teta, alfa 1 ve alfa 2 bantlarındaki GAS değerleri ile HDDÖ arasında, negatif ilişki tespit edilmiştir. Bu sonuçlar, OKB hastalarında anksiyete ve depresyon belirtilerinin senkronizasyon bozukluğuna bağlı olarak fonksiyonel bağlılıkta azalışa neden olduğunu göstermektedir. OKB’ye eşlik eden anksiyete ve depresyon şiddetindeki artışın, bilişsel işlem düzeyinde düşüşe neden olduğu görülmüştür.

References

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  • [9] Cui, D., Liu, X., Wan, Y., and Li, X.: ‘Estimation of genuine and random synchronization in multivariate neural series’, Neural Networks, 2010, 23, (6), pp. 698-704
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  • [11] Wen, D., Xue, Q., Lu, C., Guan, X., Wang, Y., and Li, X.: ‘A global coupling index of multivariate neural series with application to the evaluation of mild cognitive impairment’, Neural Networks, 2014, 56, pp. 1-9
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  • [19] Williams, J.B.: ‘A structured interview guide for the Hamilton Depression Rating Scale’, Archives of general psychiatry, 1988, 45, (8), pp. 742-747
  • [20] Beck, A.T., Epstein, N., Brown, G., and Steer, R.A.: ‘An inventory for measuring clinical anxiety: psychometric properties’, Journal of consulting and clinical psychology, 1988, 56, (6), pp. 893
  • [21] Kubicki, S., Herrmann, W., Fichte, K., and Freund, G.: ‘Reflections on the topics: EEG frequency bands and regulation of vigilance’, Pharmakopsychiatrie, Neuro-Psychopharmakologie, 1979, 12, (2), pp. 237-245
  • [22] Knyazev, G.G., Savostyanov, A.N., Bocharov, A.V., and Rimareva, J.M.: ‘Anxiety, depression, and oscillatory dynamics in a social interaction model’, Brain research, 2016, 1644, pp. 62-69
Year 2018, Volume: 22 Issue: 2, 667 - 670, 15.08.2018

Abstract

References

  • [1] Saxena, S., and Rauch, S.L.: ‘Functional neuroimaging and the neuroanatomy of obsessive-compulsive disorder’, Psychiatric Clinics of North America, 2000, 23, (3), pp. 563-586
  • [2] Tass, P.A.: ‘A model of desynchronizing deep brain stimulation with a demand-controlled coordinated reset of neural subpopulations’, Biological cybernetics, 2003, 89, (2), pp. 81-88
  • [3] Bucci, P., Mucci, A., Volpe, U., Merlotti, E., Galderisi, S., and Maj, M.: ‘Executive hypercontrol in obsessive–compulsive disorder: electrophysiological and neuropsychological indices’, Clinical neurophysiology, 2004, 115, (6), pp. 1340-1348
  • [4] Pogarell, O., Juckel, G., Mavrogiorgou, P., Mulert, C., Folkerts, M., Hauke, W., Zaudig, M., Möller, H.-J., and Hegerl, U.: ‘Symptom-specific EEG power correlations in patients with obsessive–compulsive disorder’, International journal of psychophysiology, 2006, 62, (1), pp. 87-92
  • [5] Velikova, S., Locatelli, M., Insacco, C., Smeraldi, E., Comi, G., and Leocani, L.: ‘Dysfunctional brain circuitry in obsessive–compulsive disorder: source and coherence analysis of EEG rhythms’, Neuroimage, 2010, 49, (1), pp. 977-983
  • [6] Welter, M.-L., Burbaud, P., Fernandez-Vidal, S., Bardinet, E., Coste, J., Piallat, B., Borg, M., Besnard, S., Sauleau, P., and Devaux, B.: ‘Basal ganglia dysfunction in OCD: subthalamic neuronal activity correlates with symptoms severity and predicts high-frequency stimulation efficacy’, Translational psychiatry, 2011, 1, (5), pp. e5
  • [7] Tóth, B., File, B., Boha, R., Kardos, Z., Hidasi, Z., Gaál, Z.A., Csibri, É., Salacz, P., Stam, C.J., and Molnár, M.: ‘EEG network connectivity changes in mild cognitive impairment—Preliminary results’, International Journal of Psychophysiology, 2014, 92, (1), pp. 1-7
  • [8] Dauwels, J., Vialatte, F., Musha, T., and Cichocki, A.: ‘A comparative study of synchrony measures for the early diagnosis of Alzheimer's disease based on EEG’, NeuroImage, 2010, 49, (1), pp. 668-693
  • [9] Cui, D., Liu, X., Wan, Y., and Li, X.: ‘Estimation of genuine and random synchronization in multivariate neural series’, Neural Networks, 2010, 23, (6), pp. 698-704
  • [10] Lee, S.H., Park, Y.M., Kim, D.W., and Im, C.H.: ‘Global synchronization index as a biological correlate of cognitive decline in Alzheimer's disease’, Neurosci Res, 2010, 66, (4), pp. 333-339
  • [11] Wen, D., Xue, Q., Lu, C., Guan, X., Wang, Y., and Li, X.: ‘A global coupling index of multivariate neural series with application to the evaluation of mild cognitive impairment’, Neural Networks, 2014, 56, pp. 1-9
  • [12] Koenig, T., Lehmann, D., Saito, N., Kuginuki, T., and Kinoshita, T.: ‘Decreased functional connectivity of EEG theta-frequency activity in first-episode, neuroleptic-naive patients with schizophrenia:preliminary results’, Schizophr Research, 2001, 50, pp. 55-60
  • [13] Koenig, T., Prichep, L., Dierks, T., Hubl, D., Wahlund, L.O., John, E.R., and Jelic, V.: ‘Decreased EEG synchronization in Alzheimer's disease and mild cognitive impairment’, Neurobiol Aging, 2005, 26, (2), pp. 165-171
  • [14] Purcell, R., Maruff, P., Kyrios, M., and Pantelis, C.: ‘Cognitive deficits in obsessive-compulsive disorder on tests of frontal-striatal function’, Biological psychiatry, 1998, 43, (5), pp. 348-357
  • [15] Aydin, S., Arica, N., Ergul, E., and Tan, O.: ‘Classification of obsessive compulsive disorder by EEG complexity and hemispheric dependency measurements’, International journal of neural systems, 2015, 25, (03), pp. 1550010
  • [16] Ozcoban, M.A., Kara, S., Tan, O., and Aydin, S.: ‘Investigation the level of neural synchronization by using global field synchronization method in Obsessive Compulsive Disorder’, in Editor (Ed.)^(Eds.): ‘Book Investigation the level of neural synchronization by using global field synchronization method in Obsessive Compulsive Disorder’ (IEEE, 2014, edn.), pp. 1-3
  • [17] Association, A.P.: ‘DSM 5’ (American Psychiatric Association, 2013. 2013)
  • [18] Goodman, W.K., Price, L.H., Rasmussen, S.A., Mazure, C., Fleischmann, R.L., Hill, C.L., Heninger, G.R., and Charney, D.S.: ‘The Yale-Brown obsessive compulsive scale: I. Development, use, and reliability’, Archives of general psychiatry, 1989, 46, (11), pp. 1006-1011
  • [19] Williams, J.B.: ‘A structured interview guide for the Hamilton Depression Rating Scale’, Archives of general psychiatry, 1988, 45, (8), pp. 742-747
  • [20] Beck, A.T., Epstein, N., Brown, G., and Steer, R.A.: ‘An inventory for measuring clinical anxiety: psychometric properties’, Journal of consulting and clinical psychology, 1988, 56, (6), pp. 893
  • [21] Kubicki, S., Herrmann, W., Fichte, K., and Freund, G.: ‘Reflections on the topics: EEG frequency bands and regulation of vigilance’, Pharmakopsychiatrie, Neuro-Psychopharmakologie, 1979, 12, (2), pp. 237-245
  • [22] Knyazev, G.G., Savostyanov, A.N., Bocharov, A.V., and Rimareva, J.M.: ‘Anxiety, depression, and oscillatory dynamics in a social interaction model’, Brain research, 2016, 1644, pp. 62-69
There are 22 citations in total.

Details

Journal Section Articles
Authors

Mehmet Akif Özçoban This is me

Aydın Akan

Oğuz Tan This is me

Serap Aydın This is me

Publication Date August 15, 2018
Published in Issue Year 2018 Volume: 22 Issue: 2

Cite

APA Özçoban, M. A., Akan, A., Tan, O., Aydın, S. (2018). Obsesif Kompulsif Bozukluk Hastalarında Klinik Değerlendirme Ölçekleri ile EEG Senkronizasyonu Arasındaki Korelasyon. Süleyman Demirel Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 22(2), 667-670. https://doi.org/10.19113/sdufbed.47821
AMA Özçoban MA, Akan A, Tan O, Aydın S. Obsesif Kompulsif Bozukluk Hastalarında Klinik Değerlendirme Ölçekleri ile EEG Senkronizasyonu Arasındaki Korelasyon. J. Nat. Appl. Sci. August 2018;22(2):667-670. doi:10.19113/sdufbed.47821
Chicago Özçoban, Mehmet Akif, Aydın Akan, Oğuz Tan, and Serap Aydın. “Obsesif Kompulsif Bozukluk Hastalarında Klinik Değerlendirme Ölçekleri Ile EEG Senkronizasyonu Arasındaki Korelasyon”. Süleyman Demirel Üniversitesi Fen Bilimleri Enstitüsü Dergisi 22, no. 2 (August 2018): 667-70. https://doi.org/10.19113/sdufbed.47821.
EndNote Özçoban MA, Akan A, Tan O, Aydın S (August 1, 2018) Obsesif Kompulsif Bozukluk Hastalarında Klinik Değerlendirme Ölçekleri ile EEG Senkronizasyonu Arasındaki Korelasyon. Süleyman Demirel Üniversitesi Fen Bilimleri Enstitüsü Dergisi 22 2 667–670.
IEEE M. A. Özçoban, A. Akan, O. Tan, and S. Aydın, “Obsesif Kompulsif Bozukluk Hastalarında Klinik Değerlendirme Ölçekleri ile EEG Senkronizasyonu Arasındaki Korelasyon”, J. Nat. Appl. Sci., vol. 22, no. 2, pp. 667–670, 2018, doi: 10.19113/sdufbed.47821.
ISNAD Özçoban, Mehmet Akif et al. “Obsesif Kompulsif Bozukluk Hastalarında Klinik Değerlendirme Ölçekleri Ile EEG Senkronizasyonu Arasındaki Korelasyon”. Süleyman Demirel Üniversitesi Fen Bilimleri Enstitüsü Dergisi 22/2 (August 2018), 667-670. https://doi.org/10.19113/sdufbed.47821.
JAMA Özçoban MA, Akan A, Tan O, Aydın S. Obsesif Kompulsif Bozukluk Hastalarında Klinik Değerlendirme Ölçekleri ile EEG Senkronizasyonu Arasındaki Korelasyon. J. Nat. Appl. Sci. 2018;22:667–670.
MLA Özçoban, Mehmet Akif et al. “Obsesif Kompulsif Bozukluk Hastalarında Klinik Değerlendirme Ölçekleri Ile EEG Senkronizasyonu Arasındaki Korelasyon”. Süleyman Demirel Üniversitesi Fen Bilimleri Enstitüsü Dergisi, vol. 22, no. 2, 2018, pp. 667-70, doi:10.19113/sdufbed.47821.
Vancouver Özçoban MA, Akan A, Tan O, Aydın S. Obsesif Kompulsif Bozukluk Hastalarında Klinik Değerlendirme Ölçekleri ile EEG Senkronizasyonu Arasındaki Korelasyon. J. Nat. Appl. Sci. 2018;22(2):667-70.

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