Back to Search Start Over

Individually optimized multi-channel tDCS for targeting somatosensory cortex

Authors :
Jens Haueisen
Nikolas Vogenauer
Carsten H. Wolters
Asad Khan
Marios Antonakakis
Source :
Clinical Neurophysiology. 134:9-26
Publication Year :
2022
Publisher :
Elsevier BV, 2022.

Abstract

Objective ranscranial direct current stimulation (tDCS) is a non-invasive neuro-modulation technique that delivers current through the scalp by a pair of patch electrodes (2-Patch). This study proposes a new multi-channel tDCS (mc-tDCS) optimization method, the distributed constrained maximum intensity (D-CMI) approach. For targeting the P20/N20 somatosensory source at Brodmann area 3b, an integrated combined magnetoencephalography (MEG) and electroencephalography (EEG) source analysis is used with individualized skull conductivity calibrated realistic head modeling. Methods Simulated electric fields (EF) for our new D-CMI method and the already known maximum intensity (MI), alternating direction method of multipliers (ADMM) and 2-Patch methods were produced and compared for the individualized P20/N20 somatosensory target for 10 subjects. Results D-CMI and MI showed highest intensities parallel to the P20/N20 target compared to ADMM and 2-Patch, with ADMM achieving highest focality. D-CMI showed a slight reduction in intensity compared to MI while reducing side effects and skin level sensations by current distribution over multiple stimulation electrodes. Conclusion Individualized D-CMI montages are preferred for our follow up somatosensory experiment to provide a good balance between high current intensities at the target and reduced side effects and skin sensations. Significance An integrated combined MEG and EEG source analysis with D-CMI montages for mc-tDCS stimulation potentially can improve control, reproducibility and reduce sensitivity differences between sham and real stimulations.

Details

ISSN :
13882457
Volume :
134
Database :
OpenAIRE
Journal :
Clinical Neurophysiology
Accession number :
edsair.doi.dedup.....68d2ecc0169c3fa76573abd9b4feb639