Measurement and experimentation
Use this page to explore where an intervention might act, what a study could observe, and which design could distinguish competing explanations.
The measurement project follows what happened before, during, and after an episode, across experience, behavior, physiology, condition biology, function, and harm.
Response profile
Compare five features that a resting value or average can hide. Select one to see its measurement question.
How quickly and completely does the response resolve?
Decay rate and time to baseline
Illustrative profiles only. A repeatable curve can sharpen a hypothesis; it does not establish an attractor, mechanism, diagnosis, or clinical indication.
Intervention pathway
Tap each stage to see what happens there and what a study would need to observe. Change at one stage does not prove change at every stage downstream.
Breathing, orienting, guided imagery or mental simulation, somatic tracking, movement, self-talk, or social contact.
Actual technique, attention target, imagery content, sequence, duration, intensity, adherence, relationship, and explanation.
Change at this point does not prove change at every point downstream.
Measures and timing
The meaningful unit is often a response pattern on a baseline. Observation begins before the cue and continues long enough to capture recovery, delayed worsening, and learning.
appraisal · breathing · autonomic response · first choice
peak burden · delayed flare · sleep · recovery · recurrence
dose · function · generalization · relapse · disease activity
Proposed analytic structure
This state-space model keeps the person, input, context, fast response, slower susceptibility, and recorded outcome separate. Select a part to see why the distinction matters.
Different clocks, interacting over time
Current pain, vascular tone, heart rate, autonomic activity, arousal, or a measured inflammatory response.
A practice can alter an immediate response without producing durable retraining.
x[i,t+1] = f(x[i,t], z[i,t], u[i,t], c[i,t]; θ[i]) + w[i,t] z[i,t+1] = g(z[i,t], x[i,t], u[i,t], c[i,t]; θ[i]) + v[i,t] y[i,t] = h(x[i,t], z[i,t], u[i,t], c[i,t]; θ[i]) + ε[i,t]
The first line describes change in the fast state. The second allows the slower configuration to change. The third describes the measurements produced by those states, inputs, context, and person-level parameters.
w and v represent process variation; ε represents observation error. The functions are deliberately unspecified until data justify a particular model.
This is a bookkeeping and prediction structure, not a validated clinical equation or proof of an attractor.
Study designs
What reliably precedes, shapes, and follows a real flare or recovery?
A response phenotype and credible candidate mechanisms.
Interpreting the evidence
Results could show a change in experience, behavior or exposure, a repeatable response parameter, condition biology, longer-term function, harm, or nothing measurable. Those are different findings. A proposed mechanism gains support only when its predictions distinguish it from ongoing pathology, exposure, ordinary learning, treatment change, natural history, and error.