Table 2 Five-point Likert questionnaire with the results (median ± IQR) for each round

From: Will adaptive deep brain stimulation for Parkinson’s disease become a real option soon? A Delphi consensus study

Statement

1st round (n = 19; RR = 90.5%)

2nd round (n = 20; RR = 95.2%)

3rd round (n = 20; RR = 95.2%)

Technical aspects of adaptive DBS

 S1. Adaptive DBS is at the beginning of its clinical applications, but I think that there may still be technological limitations

4 ± 1

4 ± 0.25

4 ± 0—C.R.

 S2. I think that a possible limitation of the diffusion of adaptive DBS are high costs

3 ± 1

3 ± 1.25

3 ± 1

 S3. I think adaptive DBS is applicable in patients with not well-positioned electrodes

1 ± 1

1 ± 1

1 ± 0—C.R.

 S4. I think adaptive DBS is applicable when one side only is able to record

3 ± 1

4 ± 1

4 ± 1

 S5. I think that only modulating the amplitude might be a limiting factor of adaptive DBS

3 ± 2

2 ± 2

2.5 ± 2

 S6. I think an actual risk for adaptive DBS is overstimulation

3 ± 1

3 ± 1

3 ± 0

 S7. I think an actual risk for adaptive DBS is under stimulation

3 ± 1.5

3 ± 1

3 ± 1

 S8. I think adaptive DBS requires high level of expertise

4 ± 1

5 ± 1

5 ± 0—C.R.

 S9. I think adaptive DBS is feasible only in experienced DBS centres with neurophysiological expertise

4 ± 1.5

4 ± 0.25

4 ± 0

 S10. I think adaptive DBS surgery is time-consuming

3 ± 2

4 ± 2

4 ± 2

 S11. I think adaptive DBS programming is time-consuming

4 ± 3

4 ± 1

4 ± 1

 S12. I think that automatic programming will reduce programming time

5 ± 1

5 ± 1

5 ± 1

 S13. I think that automatic programming is safe as long as the neurologist can set upper and lower limits for stimulation intensity

4 ± 0

4 ± 0—C.R.

 S14. I think fast adaptation adaptive DBS methods are superior to slow adaptation adaptive DBS methods

3 ± 1

3 ± 0

3 ± 0—C.R.

 S15. I think slow adaptation adaptive DBS methods are superior to fast adaptation adaptive DBS methods

3 ± 1

3 ± 0

3 ± 0—C.R.

 S16. I think adaptive DBS will be based more likely on feedback from wearables than on signal recording from the DBS electrodes

2 ± 1

2 ± 0

2 ± 0.25

 S17. I think adaptive DBS will be based more likely on signal recording from the DBS electrodes than on feedback from wearables

4 ± 1

4 ± 1

4 ± 0

 S18. I think adaptive DBS would help to diffuse DBS with segmented electrodes

3 ± 1

3 ± 0

3 ± 0—C.R.

 S19. I think the rapid development of artificial intelligence (AI) will fuel the clinical use of adaptive DBS

4 ± 1

4 ± 1

4 ± 0.25

 S20. I think current pacemaker technology in principle allows to install adaptive DBS algorithms

4 ± 0.5

4 ± 0.25

4 ± 0—C.R.

 S21. I think changes in technology are still necessary to foster adaptive DBS soon

4 ± 1

4 ± 1

5 ± 1

Clinical aspects of adaptive DBS

 S22. I think adaptive DBS will be clinical routine in 10 years from now

4 ± 0

4 ± 1

4 ± 0—C.R.

 S23. I think adaptive DBS will be clinical routine in 5 years from now

3 ± 1.5

3 ± 1

3 ± 1

 S24. The side effects (ramping) will lead to many patients being unable to tolerate adaptive DBS

2 ± 1

2.5 ± 1

2.5 ± 1

 S25. I think adaptive DBS is a safe technology

4 ± 0.5

4 ± 0

4 ± 0—C.R.

 S26. I think adaptive DBS is applicable on a large scale

3 ± 1

3 ± 1

3 ± 1

 S27. I think adaptive DBS is applicable only for non-tremor patients with Parkinson’s disease

2 ± 1

2 ± 0.25

2 ± 1

 S28. I think adaptive DBS is applicable also for tremor-dominant patients with Parkinson’s disease

4 ± 0.5

4 ± 0—C.R.

 S29. I think the primary clinical indication for adaptive DBS will rather be tremor then Parkinson’s disease

2 ± 1

2 ± 1

2 ± 0

 S30. I think the patient profile who will likely benefit from adaptive DBS is the patient with significant motor fluctuations before DBS

4 ± 1.5

4 ± 1.25

4 ± 0—C.R.

 S31. I think the patient profile who will likely benefit from adaptive DBS is the patient with significant motor fluctuations on conventional DBS

4 ± 0

4 ± 0

4 ± 0—C.R.

 S32. I think the patient profile who will likely benefit from adaptive DBS is the patient with significant dyskinesias on conventional DBS

4 ± 1.5

4 ± 1

4 ± 0—C.R.

 S33. I think that adaptive DBS will improve non-motor aspects of Parkinson’s disease

3 ± 1

3 ± 1

3.5 ± 1

 S34. I think that adaptive DBS will reduce stimulation induced side effects

4 ± 1

4 ± 0.25

4 ± 0

 S35. I think the long-term impact of adaptive DBS might be positive for the patients

4 ± 0.5

4 ± 1

4 ± 0—C.R.

 S36. I think adaptive DBS might more easily adapt to pharmacological changes

4 ± 1

4 ± 1

4 ± 0

 S37. I think adaptive DBS leads to faster stable treatment response after DBS surgery once a setting is defined

4 ± 1

4 ± 1

4 ± 0—C.R.

 S38. I think fast adaptation adaptive DBS leads to long term plastic changes

3 ± 1

3 ± 0.25

3 ± 0—C.R.

 S39. I think adaptive DBS will improve patient’s well-being because adaptive DBS automatically increases stimulation if patient forgets to take medication

3 ± 1.5

4 ± 1

4 ± 1

 S40. I think adaptive DBS will improve patient’s well-being because adaptive DBS automatically decreases stimulation if patient accidentally takes too high a dose of medication

4 ± 1

4 ± 1

4 ± 1

 S41. I think adaptive DBS decrease the number of patient visits to neurologists for programming

3 ± 1.5

3 ± 2

3 ± 0.25

 S42. I think adaptive DBS makes medication titration easier – with less precision required

3 ± 1

3 ± 0.25

3 ± 0.25

  1. Delphi Panel members were asked to rate their agreement with each statement (1 = strongly disagree; 2 = disagree; 3 = undecided; 4 = agree; 5 = strongly agree). RR response rate, C.R. consensus reached, PD Parkinson’s disease, DBS deep brain stimulation.
  2. Bold represents consensus reached.