In neurophysiological pain studies, multiple types of calibration
methods are used to quantify the individual pain sensation stimuli.
However, such studies often lack calibration procedure implementation,
have a vague protocol description, do not provide data quality
quantification, and omit required control for gender pain differences.
All this hampers study repetition and interexperimental comparisons.
Moreover, typical calibration procedures require a high number of
stimulations which may cause participants’ discomfort and stimuli
habituation. To overcome those shortcomings, we present an automatic
staircase pain calibration method for A-delta-specific stimulation
adjusted to the magnetoencephalography environment. We provide an
in-depth data analysis of the collected self-reports from seventy
healthy volunteers (37 males) and propose a method based on a dynamic
truncated linear regression model (tLRM). We compare its estimates for
the sensation (t), and pain (T) thresholds, as well as for the mid-pain
stimulation (MP), with those calculated using a traditional threshold
method and standard linear regression models. Compared to the other
threshold methods, tLRM exhibits higher R2 and requires 36% fewer
stimuli application and has significantly higher t and lower T and MP
intensities. Regarding sex differences, both lower t and T were found
for females compared to males, regardless of the calibration method. The
proposed tLRM method quantifies the quality of the calibration
procedure, minimizes its duration and invasiveness, as well as provides
validation of linearity between stimuli intensity and subjective scores,
making it an enabling technique for further studies. Moreover, our
results highlight the importance of control for gender in pain studies.