Supplementary Materials

The PDF file includes:

  • Materials and Methods
  • Fig. S1. riPH (patients with PD and HC).
  • Fig. S2. Analysis of the movement patterns during the sensorimotor stimulation.
  • Fig. S3. The different conditions assessed with MR-compatible robotic system.
  • Fig. S4. Sensorimotor conflicts present in the robotic experiment.
  • Fig. S5. riPH network.
  • Fig. S6. Lesion network mapping analysis.
  • Fig. S7. Lesion connectivity with the riPH network.
  • Fig. S8. Control regions for the resting-state fMRI analysis of patients with PD.
  • Fig. S9. Correlation between functional connectivity and posterior-cortical cognitive score.
  • Table S1. Phenomenology of the sPH in PD.
  • Table S2. Clinical variables for PD-PH and PD-nPH.
  • Table S3. Clinical variables for PD-PH and HC.
  • Table S4. Mean ratings for all questions and experimental conditions.
  • Table S5. Statistical results for the ratings for all questions (from asynchronous versus synchronous stimulation) and experimental conditions.
  • Table S6. Statistical results for sensorimotor delay dependency, when comparing PD-PH and HC.
  • Table S7. Mean ratings for all questions used in the mock scanner experiment.
  • Table S8. Mean ratings for all questions of the fMRI questionnaire.
  • Table S9. Spatiotemporal sensorimotor conflict PH regions.
  • Table S10. Robotically induced brain activations.
  • Table S11. sPH-derived network.
  • Table S12. visual hallucination (VH)–derived network.
  • Table S13. Clinical variables for PD-PH and PD-nPH.
  • Table S14. Patients’ classification based on functional connectivity and linear discriminant analysis algorithm.
  • Table S15. Patients’ classification based on functional connectivity and RF algorithm.
  • References (7687)

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Other Supplementary Material for this manuscript includes the following:

  • Movie S1 (.mp4 format). MRI robot.
  • Movie S2 (.mp4 format). Reports from patients with PD and PH after riPH.
  • Data file S1 (Microsoft Excel format). Raw data for experiments with less than 20 samples.