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The front cover of the book, Neurofeedback and State Regulation in ADHD: A Therapy Without Medication

New Neurofeedback For ADHD Book Released (With Exclusive Discount Code)

The book, “Neurofeedback And State Regulation In ADHD: A Therapy Without Medication,” by Werner Van den Bergh, M.D. received official publication on October 25, 2010. This is a timely book in light of the recent finding that “Neurofeedback for ADHD Achieves A ‘Level 5 – Efficacious and Specific’ Efficacy Rating.” Check the end of this […]

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Fig. 1 - JTFA normative databases are instantaneous and include within-session variance plus between-subject variance.  In contrast, FFT normative data only contains between-subject variance.  t = time, s = subjects and SDt = standard deviation  within-session and SDs = standard deviation between subjects.  Thus FFT Z scores are larger than JTFA Z scores and a ratio of 2:1 is not uncommon.  (From Thatcher et al, www.appliedneuroscience.com).

Z-Score EEG Biofeedback: Conceptual Foundations

The fundamental design concept of Z score biofeedback [also known as Z-Score neurofeedback] was first introduced in 1998 (Thatcher, 1998; 1999; 2000a; 2000b). The central idea of the instantaneous Z score is the application of the mathematical Gaussian curve or ‘Bell Shaped’ curve by which probabilities can be estimated using the auto and cross-spectrum of […]

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CES_brain_Pt2

What is Cranial Electrotherapy Stimulation? (Part 2)

In Part 1 of this series, a basic introduction to Cranial Electrotherapy Stimulation (CES), also known as Cranial Electrical Stimulation and Cranial Electrostimulation, was given that included a technical overview, typical treatment protocols, and common side effects. Next, Part 2 details CES’ proposed mechanism of action and treatment effectiveness with depression, anxiety, insomnia, and chronic […]

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brainmap_orginal_2

An Introduction to EEG Phenotypes (Part 2)

In Part 1 of this series, I provided an introduction to and overview of the candidate EEG phenotypes as proposed by Johnstone, Gunkelman, & Lunt (2005). Readers may want to first view Part 1 to better understand the current discussion. Part 2 provides a detailed description of 5 of the 11 candidate EEG phenotypes along […]

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