|
Search:     Advanced search
Browse by category:
Glossary | Contact Us



Live Z-Score with Ultra Low Frequency 2 or 4 channel

Add comment
Views: 2243
Votes: 0
Comments: 0
Posted: 02 Dec, 2009
by: Collura T.
Updated: 14 May, 2013
by: Milicia R.

The attached design will run 2 or 4 channels of live z-scores, and also reward changes in the ultra-low frequency (Slow Cortical Potential ) using additional sound feedback.  It provides the standard "Mark Smith" type of PZOKUL training, and adds the SCP via. the Event Wizard.  Channels 1 and 2 are T3 and T4, referenced to linked ears.  Channel 3 and 4 can be anything, but are set to P3 and P4 in this design.  In addition to 4 channels of live z-scores (248 trainable z-scores), you can train the slow cortical potential difference between T3 and T4 similar to the Othmer approach.

In addition to the live z-score training, the design allows you to present a reward tone to the user when their slow cortical potential difference rises or falls for a continuous 1 second.  This is adjustable in the design.

This is an experimental design, and clinicians are encouraged to field-test it and provide modifications or feedback.  It provides the best of two worlds, in that you can record and train monopolar linked-ears data from T3, T4, and two other channels, and in addition have the true slow cortical potential derived from the DC amplifiers, as a second training modality at the same time.  This provides simultaneous normative database analysis and the benefits of monopolar recording, along with the ability to train a bipolar ultraslow signal at the same time.  This provides the unprecedented ability to do bipolar low-frequency training, while watching the EEG in a conventional sense, and also connected with a normative database for EEG biofeedback.

You can also replace T3 and T4 with any other pair of leads desired, using the Data Channels / Electrodes and Trainee Info control panel.  The design could also be modified to do monopolar DC/SCP training, in place of bipolar training.  With a Discovery, you would get up to 24 simultaneous EEG channels in addition to the 4 training channels, allowing you to acquire a full QEEG during the training, as well. 

 

Attached files
file Echtzeit_Z-wert_plus_ultra_low.pdf (49 kb)
file Z_Score_Mark_Smith_UL_with_Ultralow_Freq.bmz (126 kb)

Also read
document DC and Slow Cortical Potential Information including Protocol Designs and Research Links
document Case Studies on z-score training compiled

Others in this Category
document Live Z-Score Training with the ANI Z DLL
document Doerte Klein Z Score Training Planning Sheet
document Towards a Coherent View of Brain Connectivity - Journal of Neurotherapy Final PDF Online
document How well do live Z Scores match the NeuroGuide Z Scores?
document What is the most important thing about live Z Score training?
document Z Score White Paper
document Will z score training replace the clinician?
document Z score training combined with amplitude training - how it works
document Z-scores and Golf
document Mark Smith's Z Score Basic Training Workshop--Protocol Designs
document Z Score All to Target Except Absolute Power - Separate Upper and Lower limits
document Multivariate Proportional (MVP) Targeting - what is it and how is BrainMaster different?
document Case Studies on z-score training compiled
document Live Z-Scores - how to review?
document Joseph Guan Z-Score Training Data Sheet
document Installer for new CVIRT drivers for ANI Z DLL
document Z-PLUS LZT Live Z-Score Training Software Revised with Z-Bars and Z-Maps Display
document Live Z-Score Training - Typical Single-Session Changes
document Amplitude or Power Training - Case Study
document Z-Score Setup Settings File
document Z-PLUS Documentation and Design by Neils Schnepel
document ZBuilder Quality of Fit
document New York University EEG Live Z-Score Database
document New York University EEG Database References
document Static versus Dynamic Z-Scores
document BrainAvatar comparison with surface maps
document Sufi self-piercing with live sLORETA Z-Score image
document Comparison of BrainDX and ANI surface maps



RSS