Abstract
While there are literature reviews and meta-analytic coverage of neurofeedback (NF) studies that focus on traditional amplitude NF and slow cortical potential NF, the same is not true for quantitative electroencephalographic (qEEG)-guided NF (qNF). To that end, this is a literature review of several qNF research articles. Generally, most are found in clinical settings, address a wide variety of symptoms and diagnoses, use clinical assessments as outcome measures, employ individualized NF protocols based on qEEG findings, and define efficacy in terms of improvement on pre-post outcome measures. However, few report prepost qEEG metrics as outcome measures. Suggestions for future research are presented.
Highlights
In recent years there has been a rapid surge of articles focused on neurofeedback (NF) in the literature
The NF protocols employed typically are tailored to the individual, informed by quantitative electroencephalographic (qEEG), with a goal to normalize the qEEG
Few report pre-post qEEG metrics, and only three (Arns et al, 2012; Breteler et al, 2010; Sürmeli et al, 2015) incorporated statistical analysis of qEEG metrics as an outcome measure
Summary
In recent years there has been a rapid surge of articles focused on neurofeedback (NF) in the literature. From 2002 to 2015 there are numerous studies in peer-reviewed literature addressing the qNF model Unique to this genre of studies, though, is great diversity in the different conditions treated, as well as a greater use of individualized, custom-designed protocols; making meta-analysis of this collection of research less feasible (Krigbaum & Wigton, 2014). These studies do represent a body of research pointing to the efficacy of qNF. While this is not intended to be an exhaustive review of all qNF studies, it is believed to be a representative sample of the literature coverage of this particular NF modality
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