Paper Info
Title
Optimizing stimulus patterns for dense array TDCS with fewer sources than electrodes using a branch and bound algorithm
Abstract
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.
Year
DOI
Venue
2016
10.1109/ISBI.2016.7493251
2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI)
Keywords
Field
DocType
tDCS,optimization,branch and bound,focality,dense array
Orders of magnitude (numbers),Branch and bound,Pattern recognition,Electrode array,Brute-force search,Computer science,Artificial intelligence,Region of interest,Stimulus (physiology),Transcranial direct-current stimulation,Electrode
Conference
Volume
ISSN
Citations 
2016
1945-7928
3
PageRank 
References 
Authors
0.42
2
9
Name
Order
Citations
PageRank
Seyhmus Guler140.78
Moritz Dannhauer2193.04
Burak Erem3236.13
Robert S MacLeod419637.67
Don M. Tucker56217.05
Sergei Turovets6356.71
Phan Luu7244.66
Waleed Meleis815718.29
Dana H Brooks921561.52