TY - JOUR
AU - Guidetti, Matteo
AU - Bocci, Tommaso
AU - De Pedro Del Álamo, Marta
AU - Deuschl, Guenther
AU - Fasano, Alfonso
AU - Martinez-Fernandez, Raul
AU - Gasca-Salas, Carmen
AU - Hamani, Clement
AU - Krauss, Joachim K
AU - Kühn, Andrea A
AU - Limousin, Patricia
AU - Little, Simon
AU - Lozano, Andres M
AU - Maiorana, Natale V
AU - Marceglia, Sara
AU - Okun, Michael S
AU - Oliveri, Serena
AU - Ostrem, Jill L
AU - Scelzo, Emma
AU - Schnitzler, Alfons
AU - Starr, Philip A
AU - Temel, Yasin
AU - Timmermann, Lars
AU - Tinkhauser, Gerd
AU - Visser-Vandewalle, Veerle
AU - Volkmann, Jens
AU - Priori, Alberto
TI - Will adaptive deep brain stimulation for Parkinson's disease become a real option soon? A Delphi consensus study.
JO - npj Parkinson's Disease
VL - 11
IS - 1
SN - 2373-8057
CY - [London]
PB - Springer Nature
M1 - DZNE-2025-00595
SP - 110
PY - 2025
AB - While conventional deep brain stimulation (cDBS) treatment delivers continuous electrical stimuli, new adaptive DBS (aDBS) technology provides dynamic symptom-related stimulation. Research data are promising, and devices are already available, but are we ready for it? We asked leading DBS experts worldwide (n = 21) to discuss a research agenda for aDBS research in the near future to allow full adoption. A 5-point Likert scale questionnaire, along with a Delphi method, was employed. In the next 10 years, aDBS will be clinical routine, but research is needed to define which patients would benefit more from the treatment; second, implantation and programming procedures should be simplified to allow actual generalized adoption; third, new adaptive algorithms, and the integration of aDBS paradigm with new technologies, will improve control of more complex symptoms. Since the next years will be crucial for aDBS implementation, the research should focus on improving precision and making programming procedures more accessible.
LB - PUB:(DE-HGF)16
C6 - pmid:40325017
C2 - pmc:PMC12052990
DO - DOI:10.1038/s41531-025-00974-5
UR - https://pub.dzne.de/record/278562
ER -