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tDCS induced GABA change is associated with the simulated electric field in M1, an effect mediated by grey matter volume in the MRS voxel

  • Tulika Nandi
  • , Oula Puonti
  • , William T. Clarke
  • , Caroline Nettekoven
  • , Helen C. Barron
  • , James Kolasinski
  • , Taylor Hanayik
  • , Emily L. Hinson
  • , Adam Berrington
  • , Velicia Bachtiar
  • , Ainslie Johnstone
  • , Anderson M. Winkler
  • , Axel Thielscher
  • , Heidi Johansen-Berg
  • , Charlotte J. Stagg

Research output: Contribution to Journal › Article › Academic › peer-review

Abstract

Background and objective: Transcranial direct current stimulation (tDCS) has wide ranging applications in neuro-behavioural and physiological research, and in neurological rehabilitation. However, it is currently limited by substantial inter-subject variability in responses, which may be explained, at least in part, by anatomical differences that lead to variability in the electric field (E-field) induced in the cortex. Here, we tested whether the variability in the E-field in the stimulated cortex during anodal tDCS, estimated using computational simulations, explains the variability in tDCS induced changes in GABA, a neurophysiological marker of stimulation effect. Methods: Data from five previously conducted MRS studies were combined. The anode was placed over the left primary motor cortex (M1, 3 studies, N = 24) or right temporal cortex (2 studies, N = 32), with the cathode over the contralateral supraorbital ridge. Single voxel spectroscopy was performed in a 2x2x2cm voxel under the anode in all cases. MRS data were acquired before and either during or after 1 mA tDCS using either a sLASER sequence (7T) or a MEGA-PRESS sequence (3T). sLASER MRS data were analysed using LCModel, and MEGA-PRESS using FID-A and Gannet. E-fields were simulated in a finite element model of the head, based on individual structural MR images, using SimNIBS. Separate linear mixed effects models were run for each E-field variable (mean and 95th percentile; magnitude, and components normal and tangential to grey matter surface, within the MRS voxel). The model included effects of time (pre or post tDCS), E-field, grey matter volume in the MRS voxel, and a 3-way interaction between time, E-field and grey matter volume. Additionally, we ran a permutation analysis using PALM to determine whether E-field anywhere in the brain, not just in the MRS voxel, correlated with GABA change. Results: In M1, higher mean E-field magnitude was associated with greater anodal tDCS-induced decreases in GABA (t(24) = 3.24, p = 0.003). Further, the association between mean E-field magnitude and GABA change was moderated by the grey matter volume in the MRS voxel (t(24) = −3.55, p = 0.002). These relationships were consistent across all E-field variables except the mean of the normal component. No significant relationship was found between tDCS-induced GABA decrease and E-field in the temporal voxel. No significant clusters were found in the whole brain analysis. Conclusions: Our data suggest that the electric field induced by tDCS within the brain is variable, and is significantly related to anodal tDCS-induced decrease in GABA, a key neurophysiological marker of stimulation. These findings strongly support individualised dosing of tDCS, at least in M1. Further studies examining E-fields in relation to other outcome measures, including behaviour, will help determine the optimal E-fields required for any desired effects.
Original languageEnglish
Pages (from-to)1153-1162
Number of pages10
JournalBrain Stimulation
Volume15
Issue number5
Early online date18 Aug 2022
DOIs
Publication statusPublished - Oct 2022
Externally publishedYes

Funding

This study was performed to address the hypothesis that a significant amount of the inter-subject variability in the anodal tDCS-induced decreases in GABA could be explained by the individual E-field within the stimulated region. In line with this hypothesis, we found that tDCS-induced decrease in GABA was associated with the induced E-field in the MRS voxel, supporting the future use of individualised dosing to minimise inter-individual variability in tDCS effects. Further, we showed that this association is more complex than previously demonstrated: the relationship between GABA decrease, and E-field was only demonstrated in participants who had a relatively high volume of grey matter in their MRS voxel. In addition, while a significant correlation between GABA decrease, and E-field was demonstrated in M1, this was not present in the temporal cortex. Additionally, the observed effect was specific to GABA, with no associations found for Glx. This may reflect a lower sensitivity of Glx to tDCS effects [55], and is in line with previous M1 literature.The research was supported by the National Institute for Health Research (NIHR) Oxford Biomedical Research Centre and the NIHR Oxford Health Biomedical Research Centre. The Wellcome Centre for Integrative Neuroimaging is supported by core funding from the Wellcome Trust (203139/Z/16/Z). TN was supported by a NIHR Oxford Biomedical Research Centre Small Grant Award. HB is supported by the Medical Research Council (MRC) UK (MC_UU_00003/4) and holds a UKRI Future Leaders Fellowship (grant MR/W008939/1). CJS holds a Sir Henry Dale Fellowship, funded by the Wellcome Trust and the Royal Society (102584/Z/13/Z). This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No. 731827 (STIPED). The results and conclusions in this article present the authors' own views and do not reflect those of the EU Commission. The study was also supported by the Lundbeck foundation (grant R313-2019-622), and by the NIH (Grant No. 1RF1MH117428-01A1). A.M.W. is supported by the NIH through ZIA-MH002781 and ZIA-MH002782. The research was supported by the National Institute for Health Research (NIHR) Oxford Biomedical Research Centre and the NIHR Oxford Health Biomedical Research Centre . The Wellcome Centre for Integrative Neuroimaging is supported by core funding from the Wellcome Trust ( 203139/Z/16/Z ). TN was supported by a NIHR Oxford Biomedical Research Centre Small Grant Award. HB is supported by the Medical Research Council (MRC) UK (MC_UU_00003/4) and holds a UKRI Future Leaders Fellowship (grant MR/W008939/1 ). CJS holds a Sir Henry Dale Fellowship, funded by the Wellcome Trust and the Royal Society ( 102584/Z/13/Z ). This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No. 731827 (STIPED). The results and conclusions in this article present the authors' own views and do not reflect those of the EU Commission. The study was also supported by the Lundbeck foundation (grant R313-2019-622 ), and by the NIH (Grant No. 1RF1MH117428-01A1). A.M.W. is supported by the NIH through ZIA-MH002781 and ZIA-MH002782 .

FundersFunder number
NIHR Oxford Biomedical Research Centre
Sir Henry Dale Fellowship
National Institute for Health and Care Research
European Commission
Horizon 2020
Wellcome Trust203139/Z/16/Z, 203139
Medical Research CouncilMC_UU_00003/4
Royal Society102584/Z/13/Z
LundbeckfondenR313-2019-622
National Institute of Mental HealthRF1MH117428
UK Research and InnovationMR/W008939/1
Horizon 2020 Framework Programme731827
National Institutes of HealthZIA-MH002781, ZIA-MH002782

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