588139-Lustenhouwer

55 ALTERED SENSORIMOTOR REPRESENTATIONS IN NA 3 Statistical Analyses All statistical analyses were performed using IBM SPSS Statistics 25, statistical tests were two-tailed and alpha-level was set at p = 0.05, unless otherwise specified. The age of the two groups (NA patients and healthy controls) was compared with independent samples t-test. Serratus anterior strength of both arms was compared with a 2-factor mixed analysis of variance (ANOVA) with between-group factor GROUP (NA patients, healthy controls), and repeated factor SIDE (left/unaffected/non-dominant, right/affected/dominant). For the motor imagery task, we analyzed the influence of between-group factor GROUP (NA patients, healthy controls), and the repeated factors LATERALITY (left, right), and ROTATION (-135°,-105°,-75°,-45°, 45°, 75°, 105°, 135°) on normalized error rate (ER) and median reaction time (RT) on correct trials with two separate 3-factor mixed ANOVAs. ER was normalized with an arcsine transformation. 77 We additionally tested for the effects of between-group factor GROUP and repeated factors POSTURE (congruent, incongruent) and LATERALITY on normalized ER and median RT with two separate 3-factor mixed ANOVAs. To further verify that participants incorporated their own body posture, we also examined the effect of the symmetry of the posture of the participants’ own two hands (see supplementary materials). If Mauchly testing revealed that the assumption of sphericity of variances was violated, we applied Greenhouse-Geisser (if ε ≤ 0.75) or Huynh-Feldt (if ε > 0.75) corrections to the degrees of freedom. 78 We corrected for multiple testing (4 ANOVAs) by setting alpha at p = 0.0125. To control for any potential group differences in speed-accuracy trade-off during the task, we additionally calculated the efficiency scores for each condition (i.e. divided the normalized ERs by the median RTs) and performed the same ANOVAs on these ratio scores.79-82 To evaluate the relationship between performance on the hand laterality judgment task and clinical (patient) characteristics, correlational analyses were performed for measures that showed significant effects involving group. For the normally distributed measures of functional capability (the SRQ-DLV and DASH scores) we calculated Pearson correlation coefficients. As the time since last attack (Table 1) did not follow a normal distribution, we used Spearman correlation to explore possible associations between disease duration and task performance. Data availability De-identified data, task materials, analyses scripts, and questionnaires are available in a data repository through the following URL: http://hdl.handle.net/11633/aacwcmem. The conditions of our ethical approval do no permit public archiving of individual data on age and time since last attack as these are indirect identifiers. Readers seeking access to this data should contact the lead author RL. Access will be granted to named individuals in accordance with ethical procedures governing the reuse of sensitive data. Specifically, requestors must meet the following conditions to obtain the data: they must adhere to the RU-DI-HD-1.0 data use agreement.

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