Analysis individual EEG alpha activity peculiarities for enhancement Neurofeedback efficiency

1. COST B27 ENOC Joint WGs Meeting Swansea UK, 16-18 September 2006 Bazanova Olga M. Aftanas LubomirI. Analysis individual EEG alpha activity peculiarities for enhancement Neurofeedback efficiency State-ResearchInst. Molecular Biology & Biophysics, State-Research Inst. Physiology,Siberian Branch, Russian Academy of Medical Sciences

2. Neurofeedback efficiency runs up to no more than 75 %(Monastra et al., 2005) • Possible reasons for NFT inefficiency: • the objective assessment of the neural organization in a given patient was not used • the neurotherapy protocols were not individualized (Thatcher et al, 1983; Kaiser, 2001; Monastra et al 2005; John ER& Prichep, 2006)

3. 4-8 Hz may be theta for some and alpha for others. (Kaiser D.,2001) Reduce 4-8 Hz extension 14-18 Hz Θα ? α-1? α-2?

4. …only the alpha “atom” had a significant temporal correlation with the fMRI signal Martı´nez-Montes Eduardo, Valde´s-Sosa Pedro A, Miwakeichi, Fumikazu, Goldman Robin I., and Cohen Mark S.(2004). Concurrent EEG/fMRI analysis by multiway Partial Least Squares. NeuroImage, 22, 1023–1034

5. Alpha rhythm • The oscillations in electric potential within the 8- to 12-Hz range, normally recorded as sinusoidal waves with larger amplitudes over posterior regions during eyes-closed rest. • The rhythm that diminishes when eyes are opened or during mental activity. (Berger, 1929; Cooper et al., 1965; Pfurtscheller et al., 1996;Nunez et al., 2001;).

6. >10 Hz – better academic performance <10 Hz – poorer academic performance IAPF – individual alpha peak frequency - predictor of cognitive capacities (Jausovec (1996);Basar et al., 1997a;Giannitrapini (1969);Klimesch et al. (e.g. 1996, 1999) Klimesh and Doppelmayr (1998),

7. IAPF depends on age Clarck, 2001 (Mankovskiy and Belonog,1971; Roubicek, 1977 Epstein 1980; Li et al., 1996; Osaka et al., 1999),

8. IAPF depends on menstrual cycle stage Individual Alpha peak frequency ( Creiutzfield et al.,1980,1982,1988; Bazanova et al.,2004)

9. What is alpha frequency range? Kaplan, 2001,2003; Ray & Cole, 1985. Jensen et al 2002; Kilner, 2005; Martinez et al2004;de Toffel & Autret, 1991; P.Etevenon et al, 1990; Morettiet al 2004

10. Alpha- α, theta- Θ, beta- β

11. Alpha rhythm • The oscillations in electric potential within the 8- to 12-Hz range, normally recorded as sinusoidal waves with larger amplitudes over posterior regions during eyes-closed rest. • The rhythm that diminishes when eyes are opened or during mental activity. (Berger, 1929; Cooper et al., 1965; Pfurtscheller et al., 1996;Nunez et al., 2001;).

12. Eyes open Eyes closed alpha activity Alpha-1 may be theta for some and alpha for others.

13. Eyes open Θ Eyes closed α β alpha activity Alpha-2 may be beta for some and alpha for others. 8-12 Hz

14. Eyes open Eyes closed alpha activity Alpha- α, theta- Θ, beta- β Θ α α β

15. Eyes open Eyes closed alpha activity INDIVIDUAL ALPHA BAND WIDTH rhythm that diminishes when eyes are opened or during mental activity = “Berger Effect”.

16. IAAS - Individual amount of alpha suppression (Koukkou 1980, 1982; Koukkou et al. 1982, 1991; Koukkou and Lehmann 1987; Schmelkina,1998; Kolev et al. 2002)

17. children, old people adults IAAS - Individual amount of alpha suppression (Smelkina R1998; Larkina and Kirenskaya 2005).

18. normals remitted schizophrenics Acute schizophrenics IAAS - Individual amount of alpha suppression (Koukkou 1980, 1982; Koukkou et al. 1982, 1991; Koukkou and Lehmann 1987)

19. Eyes open Eyes closed alpha activity Alpha peculiarities

20. The main objective to demonstrate efficiency of Neurofeedback when individual EEG alpha activity parameters are in use

21. Methods. Patients patient C.-7 year schoolboy ADHD patient A. - 50 year professional musician functional contracture

22. Procedure Methods.

23. Reducing Θ/β - neurofeedback Methods. Cz ReduceΘ extensionβ Controlledparameter

24. Methods. Alpha-EEG/EMG-Biofeedback

25. Methods. EEG recording F3 θ/β F4 C4 C3 Cz P3 P4 α O1 O2

26. Methods. Alpha activity EEG analysis eyes closed condition for IAPF eyes open vs eyes closed condition for IABW and IAAS

27. Methods. Alpha activity EEG analysisindividual alpha band width (IABW) oe- open eyes ce- closed eyes Cut-off criteria = 20%

28. Eyes open Eyes closed alpha activity Methods. Alpha activity EEG analysis.Individual alpha band width (IABW)

29. Methods. Alpha activity EEG analysis:individual amount of alpha suppression (IAAS)

30. Results. Baseline individual alpha activity peculiarities

31. Results. Standard ranges Alpha-EEG/EMG Biofeedback SNFB Baseline condition Post SNFB EMG

32. . ResultsIndividual ranges Alpha-EEG/EMG Biofeedback INFB EMG Baseline condition Post INFB

33. - ST performance duration • Reading words per • minute Results. Standard ranges θ/β reducing Neurofeedback SNFB SNFB

34. - ST performance duration • Reading words/ • minute Results. Individualranges θ/β reducing Neurofeedback INFB INFB

35. Similarities • The SNFB training had aggravated patients conditions along both electrophysiological (depression of alpha power, narrow IABW, weak IAAS, increased EMG), and behavioral domains. • The INFB training had increased alpha activity indices and was associated with subjective feelings of relaxation, emotional calm and centeredness

36. In the present research, due to the individual frequency EEG analysis, the necessity of an individualization of the approaches for Neurofeedback technology is convincingly shown

37. Thank you kindly