Abstract

Two challenges to optimizing transcranial direct current stimulation (tDCS) are selecting between, often similar, electrode montages and accounting for inter-individual differences in response. These two factors are related by how tDCS montage determines current flow through the brain considered across or within individuals. MRI-based computational head models (CHMs) predict how brain anatomy determines electric field (EF) patterns for a given tDCS montage. Because conventional tDCS produces diffuse brain current flow, stimulation outcomes may be understood as modulation of global networks. Therefore, we developed a network-led, rather than region-led, approach. We specifically considered two common “frontal” tDCS montages that nominally target the dorsolateral prefrontal cortex; asymmetric “unilateral” (anode/cathode: F4/Fp1) and symmetric “bilateral” (F4/F3) electrode montages. CHMs of 66 participants were constructed. We showed that cathode location significantly affects EFs in the limbic network. Furthermore, using a finer parcellation of large-scale networks, we found significant differences in some of the main nodes within a network, even if there is no difference at the network level. This study generally demonstrates a methodology for considering the components of large-scale networks in CHMs instead of targeting a single region and specifically provides insight into how symmetric vs asymmetric frontal tDCS may differentially modulate networks across a population.

Details

Title
Group and individual level variations between symmetric and asymmetric DLPFC montages for tDCS over large scale brain network nodes
Author
Soleimani Ghazaleh 1 ; Saviz Mehrdad 1 ; Marom, Bikson 2 ; Towhidkhah Farzad 1 ; Rayus, Kuplicki 3 ; Paulus, Martin P 3 ; Ekhtiari Hamed 3 

 Amirkabir University of Technology (Tehran Polytechnic), Biomedical Engineering Department, Tehran, Iran (GRID:grid.411368.9) (ISNI:0000 0004 0611 6995) 
 City College of New York of CUNY, Department of Biomedical Engineering, New York, USA (GRID:grid.254250.4) (ISNI:0000 0001 2264 7145) 
 Laureate Institute for Brain Research (LIBR), Tulsa, USA (GRID:grid.417423.7) (ISNI:0000 0004 0512 8863) 
Publication year
2021
Publication date
2021
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2477821895
Copyright
© The Author(s) 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.