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EEG signs of aging and dementia based on free energy principle and Bayesian brain

EEG signs of aging and dementia based on free energy principle and Bayesian brain. Aman Bindal Old řich Vyšata. Dementia. Definition Symptoms Spread Economic effects. Dementia Types. Cases in AD. AD Age groups. Cost of Dementia. Recording EEG. Sample Recording.

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EEG signs of aging and dementia based on free energy principle and Bayesian brain

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  1. EEG signs of aging and dementiabased on free energy principle and Bayesian brain AmanBindal Oldřich Vyšata

  2. Dementia • Definition • Symptoms • Spread • Economic effects

  3. Dementia Types

  4. Cases in AD

  5. AD Age groups

  6. Cost of Dementia

  7. Recording EEG

  8. Sample Recording

  9. Fourier transform (FT) • Fourier transform expands a time signal x(t) into a sum (or integral for continuous time) of infinite waves • It can be thought of a transform from “time-domain” to “frequency domain”. FT is formally defined by: • Used in many areas because the concept of frequency and periodic signals is shared in many science domains. • When we talk about “Power spectrum” of a signal we mean the amplitude of the Fourier transform Fourier transform FT Inverse Fourier transform IFT

  10. Time and Frequency Domain

  11. Free Energy Principle? Self-organizing system that is at equilibrium with its environment must minimize its free energy • Concept • Related to Brain and EEG • EEG characteristics of self-organization

  12. Aging and Neuron Loss • Lesser Number of Neurons for electrical activity (Slower EEG) • Decrease in neuron interaction (Perturbations in EEG Synchrony) • Neural activity patterns and dynamics become simpler and more predictable (Entropy)

  13. Parameters • Pearson Correlation Coefficient • Coherence • Mutual Information

  14. Parameters Contd • Coherence in Frequency Domain • Wavelet Coherence • Corr-Entropy Coefficient

  15. Coherence in Frequency Domain

  16. Wavelet Coherence

  17. Bump Modeling

  18. Data • Total Recording: 31009 • Unfiltered Recordings: 17722 • 17540 males • 182 females • mean age of 43.2 (SD=11.2) years

  19. RESULTS

  20. Power Variation

  21. Age related changes in color noise in EEG

  22. Age related changes of EEG Coherence

  23. Correlation Comparision

  24. Coherence Comparision

  25. Wavelet Coherence Comparision

  26. Entropy Comparision

  27. Conclusion • Lossof brain’s auto-organization ability of free energy optimization. • Age related cognitive deficit and dementia • Entropy as the best parameter

  28. Future Work • Including more complexity measures as parameters • Calculation of alpha based on Hurst exponent • Probabilistic model for differentiating AD patients.

  29. Thank You Q & A

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