Optimizing Stimulus Patterns for Dense Array tDCS With Fewer Sources Than Electrodes Using A branch and Bound Algorithm
| Autor: | Sergei Turovets, Moritz Dannhauer, Don M. Tucker, Dana H. Brooks, Rob S. MacLeod, Phan Luu, Burak Erem, Waleed Meleis, Seyhmus Guler |
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| Jazyk: | angličtina |
| Rok vydání: | 2016 |
| Předmět: |
Dense array
Transcranial direct-current stimulation Branch and bound Computer science medicine.medical_treatment 05 social sciences Stimulus (physiology) 050105 experimental psychology Article 03 medical and health sciences 0302 clinical medicine Electrode medicine Electrode array 0501 psychology and cognitive sciences Algorithm 030217 neurology & neurosurgery |
| Zdroj: | ISBI |
| Popis: | Dense array transcranial direct current stimulation (tDCS) has become of increasing interest as a noninvasive modality to modulate brain function. To target a particular brain region of interest (ROI), using a dense electrode array placed on the scalp, the current injection pattern can be appropriately optimized. Previous optimization methods have assumed availability of individually controlled current sources for each non-reference electrode. This may be costly and impractical in a clinical setting. However, using fewer current sources than electrodes results in a non-convex combinatorial optimization problem. In this paper, we present a novel use of the branch and bound (BB) algorithm to find sub-optimal stimulus patterns with fewer current sources than electrodes. We present simulation results for both focal and spatially extended cortical ROIs. Our results suggest that only a few (2–3) independently controlled current sources can achieve comparable results to a full set (125 sources) to a tolerance of 5%. BB is computationally 3–5 orders of magnitude less demanding than exhaustive search. |
| Databáze: | OpenAIRE |
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