Your doctor should be able to use this to determine if you are a candidate for neurofeedback. Except that they are using the excuse of, 'All strokes are different, all stroke recoveries are different' as a stupid reason this may not always work. Work those fucking brains of yours and solve the problem for all, not be lazy and make excuses.
Can we predict who will respond to neurofeedback? A review of the inefficacy problem and existing predictors for successful EEG neurofeedback learning
Choose an option to locate/access this article:
Check if you have access through your login credentials or your institution
Check access
Highlights
- •
- A significant proportion of subjects do not respond to NF treatments.
- •
- There is a lack of reporting on the number of non-responders to NF.
- •
- Predictors for successful NF can identify subjects more likely to benefit from NF.
- •
- Personalized protocols are a potential way to improve the success of NF.
Abstract
Despite
the success of neurofeedback treatment in many cases, the variability
in the efficacy of the treatment is high, and some studies report that a
significant proportion of subjects does not benefit from it.
Quantifying the extent of this problem is difficult, as many studies do
not report the variability among subjects. Nonetheless, the ability to
identify in advance those subjects who are – or who are not – likely to
benefit from neurofeedback is an important issue, which is only now
starting to gain attention. Here, we review the problem of inefficacy in
neurofeedback treatment as well as possible psychological and
neurophysiological predictors for successful treatment. A possible
explanation for treatment ineffectiveness lies in the necessity to adapt
the treatment protocol to the individual subject. We therefore discuss
the use of personalized neurofeedback protocols as a potential way to
reduce the inefficacy problem.
No comments:
Post a Comment