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Explore the innovative Live Z-Score training method by Thomas F. Collura that optimizes brain functioning through personalized targets and metrics, tackling variability and rigidity while promoting adaptability and progress. Gain insights into BrainMaster LZT training and the BrainAvatar system for enhanced neurofeedback capabilities.
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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
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
Live Z-Score Training • Absolute Power • Relative Power • Power Ratios • Asymmetry • Coherence • Phase (c) 2012 Thomas F. Collura
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
PZOK Control ScreenOperant (white): Percentage of z-scores Criterion (green): Percentage required Result (red): Percent of time achieved (c) 2012 Thomas F. Collura
Live Z Scores – 4 channels (248 targets) 26 x 4 + 24 x 6 = 248 (104 power, 144 connectivity) (c) 2012 Thomas F. Collura
Progress of Live Z-Score TrainingMost deviant scores -> toward normal (c) 2012 Thomas F. Collura
Progress of MVP VariableSearching / Hunting -> consistent improvement (c) 2012 Thomas F. Collura
PZOK ResultsSevere Autistic – 20 & 40 sessions (c) 2012 Thomas F. Collura
PZOK ResultsSevere Autistic – 20 and 40 sessions (c) 2012 Thomas F. Collura
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
Z-Plus Live Z-Scores “Zbars”(most deviant scores often “stuck”) (c) 2012 Thomas F. Collura
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
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
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
BrainAvatar (c) 2012 Thomas F. Collura
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
BrainAvatar (c) 2012 Thomas F. Collura
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