A leadfield-free optimization framework for transcranially applied electric currents
The new framework complements existing optimization methods that require small electrodes, a predetermined discretization of the electrode positions on the scalp and work best for multi-channel systems. It strongly extends the possibilities to optimize electrode montages towards application-specific aims and supports researchers in discovering innovative stimulation schemes. The framework is available in SimNIBS.
Authors
- Konstantin Weise (ORCID: https://orcid.org/0000-0003-1283-2042)
- Kristoffer H. Madsen (ORCID: https://orcid.org/0000-0001-8606-7641)
- Torge Worbs (ORCID: https://orcid.org/0009-0004-0187-6108)
- Axel Thielscher (ORCID: https://orcid.org/0000-0002-4752-5854)
- Thomas R. Knösche
- Anders Rosendal Korshoej (ORCID: https://orcid.org/0000-0003-4285-8171)
Institutions
- Leipzig University of Applied Sciences (DE)
- Hvidovre Hospital (DK)
- Aarhus University Hospital (DK)
- Max Planck Institute for Human Cognitive and Brain Sciences (DE)
Publication Details
- Journal
- Computers in Biology and Medicine
- Published
- 2025-07-01
- DOI
- https://doi.org/10.1016/j.compbiomed.2025.110648
- Citations
- 4
- Primary Topic
- Neuroscience and Neural Engineering
- Type
- article
- Field-Weighted Citation Impact
- 3.64
Funders
- Kræftens Bekæmpelse
- Danish Cancer Society Research Center
- Bundesministerium für Bildung und Forschung
- Lundbeckfonden
- National Institutes of Health
- NIH Blueprint for Neuroscience Research