The following data for each subject were recorded: age in years, race, and gender.
In HD-CTM, there are several parameters that need to be optimized by training their data for each subject.
In addition, anthropometric data for each subject are directly measured, and they are used to investigate relationships between anthropometric characteristics (body segment lengths), preferred postural angles and seat adjustment level.
All the changes vs baseline (Tx vs T0) were expressed as mean ± SD and analysed with a one-way ANOVA plus non-parametric Wilcoxon test, that was used for paired data for each subject.
Table 1 displays the demographic data for each subject.
Data for each subject were corrected for the recovery of the IS for injection.
In each phase, we averaged signal changes over trial data for each subject under each condition at each measurement channel.
fMRI data for each subject and for each session were collected with a 1.5 T General Electric (Milwaukee, WI) Signa scanner with a quadrature head coil.
The optimal number of microstates was fitted into the original data for each subject, using a competitive fitting procedure [38], [49].
The learning rates were obtained by least squares fitting of the exponential curves to the handpath error data for each subject.
The diabetes related clinical characteristics of the subjects before and after surgery are presented in Table 1 and the complete clinical data for each subject are presented in Table S1.
