1 / 20

Live Z-Scores Brain Avatar Clinical Considerations

Live Z-Scores Brain Avatar Clinical Considerations. Live Z-Score Training. Normative database as a guide Power, connectivity metrics Multiple concurrent variables Operant learning paradigm Age-appropriate norms. Live Z-score training. Is: A means for global optimization

jbarney
Download Presentation

Live Z-Scores Brain Avatar Clinical Considerations

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Live Z-ScoresBrain AvatarClinical Considerations

  2. Live Z-Score Training • Normative database as a guide • Power, connectivity metrics • Multiple concurrent variables • Operant learning paradigm • Age-appropriate norms (c) 2012 Thomas F. Collura

  3. Live Z-score training • Is: • A means for global optimization • An approach to individualized training • Flexible, adjustable targets and ranges • Using population mean as a reference • Able to target variability vs ”stuckness” • Is not: • “one size fits all” • Forcing everyone to train to the same goals • Using the population mean as a requirement (c) 2012 Thomas F. Collura

  4. Live Z-Score Training • Absolute Power • Relative Power • Power Ratios • Asymmetry • Coherence • Phase (c) 2012 Thomas F. Collura

  5. BrainMaster LZT training • “Multivariate proportional” • Unique characteristics: • Multiple z-scores trained simultaneously • Proportional feedback • Allows brain to maintain coping, compensating mechanisms • Allows outliers to exist • Addresses “stuck” variables, encourages variability, flexibility (c) 2012 Thomas F. Collura

  6. PZOK Control ScreenOperant (white): Percentage of z-scores Criterion (green): Percentage required Result (red): Percent of time achieved (c) 2012 Thomas F. Collura

  7. Live Z Scores – 4 channels (248 targets) 26 x 4 + 24 x 6 = 248 (104 power, 144 connectivity) (c) 2012 Thomas F. Collura

  8. Progress of Live Z-Score TrainingMost deviant scores -> toward normal (c) 2012 Thomas F. Collura

  9. Progress of MVP VariableSearching / Hunting -> consistent improvement (c) 2012 Thomas F. Collura

  10. PZOK ResultsSevere Autistic – 20 & 40 sessions (c) 2012 Thomas F. Collura

  11. PZOK ResultsSevere Autistic – 20 and 40 sessions (c) 2012 Thomas F. Collura

  12. BrainMaster Z-Plus • Adds new metrics • PZMO: aggregate motion of the outliers • PZME: mean distance of the outliers • Adds additional feedback sensitive to extremes • Rewards positive change (c) 2012 Thomas F. Collura

  13. Z-Plus Live Z-Scores “Zbars”(most deviant scores often “stuck”) (c) 2012 Thomas F. Collura

  14. BrainAvatar • Live sLORETA imaging and training • Visualize and measure regions of interest • 19-channels: localization • 4-channels: regionalization • Instantaneous (30 msec) • Video speed brain electrical imaging • 5 millimeter resolution • 10-15 millimeter accuracy (c) 2012 Thomas F. Collura

  15. BrainAvatar – Live sLORETA • Based upon 20 years research • Maximum-likelihood estimate of brain generators • Reflects pyramidal cell populations • Proven correlation with MRI, CT • 100x faster than previous implementations (c) 2012 Thomas F. Collura

  16. BrainAvatar – ROI Neurofeedback • Regions of Interest (lobes, broadmann, etc) • Integrated training of power, connectivity • Combine sLORETA with surface training • Combine with traditional training • Power • Connectivity • ISF (Infra-slow fluctuations) • Peripheral (HRV, TEMP, SCR, etc) (c) 2012 Thomas F. Collura

  17. BrainAvatar (c) 2012 Thomas F. Collura

  18. BrainAvatar Z-Builder • Creates reference norms from EEG data • Power, connectivity • Surface (19-channels) • sLORETA (6239 voxels) • Can be used for z-score training • Individualized targets • Can be used to create own databases (c) 2012 Thomas F. Collura

  19. BrainAvatar (c) 2012 Thomas F. Collura

  20. Online Information Online published material: • http://www.brainm.com/kb/entry/362/ Online videos: • http://www.youtube.com/playlist?list=PLE84A6CCE36979B66 (c) 2012 Thomas F. Collura

More Related