Utsikt, I'm so curious about how you would design a brain retraining experiment. In a way that you would think was a fair test of it. Because my understanding is it's hard to do because you need to do it in a way the kindness of the therapist and their attention isn't a factor. That's what others have said to me anyway, just doing a treatment trial wouldn't show anything.
The others have already provided some good suggestions.
The first step would be to build a coherent theoretical basis in a way that provides testable hypotheses that can only be tested with a trial. As demonstrated in this thread (edit: see the thread quoted in the first post of this new thread), PP (edit: predictive processing) and BR (edit: brain retraining) is nowhere near that stage yet, because there are so many contradictions.
Once you have a hypothesis (or a few), you need to design a trial that controls as many variables as possible. Like you mention, attention and kindness is one of them. Another, and maybe the most difficult to control for BR, is that BR attempts to directly manipulate many of the variables you might want to measure. It tells you how to think, speak and behave. This means that a change in those variables might represent adherence to the intervention, and not an effect on the disease.
One way you might try to get around this is to use long baseline and followup measurements for objective outcomes, like what Fluge and Mella are doing in ResetME.
If you hypothesis is that BR will lead to a sustained increase in physical activity without a decrease in quality of life or ADLs you can do, and without an increase in symptoms or other complaints, then you need to demonstrate that over e.g. 2 years first to show people are not just pushing through, and preferably with 5+ years followup like what you do for e.g. cancer treatments or treatments for progressive diseases.
A step counter can be used as a proxy for physical activity, and you can track income and welfare benefits, employment status and hours worked (or studied), and medications. Objective measurements of mental and physical ability can also be used, assuming they are PEM-safe.
To not rely on the patient only, you can ask for assessments by their family members as well.
The largest challenge for BR specifically, is actually that a proper trial requires that you fully acknowledge that the treatment 1) is experimental and based on unvalidated theories, 2) has substantial reported risks, 3) might not work, and 4) that it’s not the patients fault if they do not improve.
The control group can’t be pacing, because pacing isn’t a treatment so it won’t generate the same expectation of benefit, and comparing it to something that’s not PEM-safe won’t be ethical. (Edit: this assumes that BR would be PEM-safe, which is by itself a big assumption, possibly making any BR trial unethical by nature.)
One alternative is to do as Wyller did in
MINIRICO. They compared the supplement NR with MBRT, their version of LP and BR. They used four groups:
a) MBRT and NR;
b) usual care and NR;
c) MBRT and placebo;
d) usual care and placebo.
According to their recent grant application, NR as ineffective and MBRT failed to reach the threshold of minimally clinically important difference for the subjective outcomes and had no change for objective outcomes. That did not stop them from claiming success and securing a £2M grant for yet another study of MBRT. Meaning that funding is easy to get for these kinds of trials. Resources is not an issue here.
We know from Ritux that you can generate considerable bias with an ineffective drug for ME/CFS, and the recent LDN trial presented at Charité shows the same for LC. That would make a similar treatment a potentially viable active control.
Recruitment bias might be an issue, but it could be somewhat alleviated by the possibility of getting the exciting drug if you’re not into BR and wouldn’t have participated in a pure BPS trial.
You would do best by recruiting a fairly homogenous group, and avoiding ceiling or floor effects by excluding the most and least healthy.
I’m sure there are other things to consider as well. My approach to trying to find them is to ask myself how I would try to poke holes in a study if it used the same design and had a result I really did not like. If a biased me can’t find any flaws, a neutral me shouldn’t either. And of course ask others for help doing the same - just make sure they are not biased in favour of you or the intervention(s).