Cited by 79Transcranial Magnetic Stimulation StudiesElectroconvulsive Therapy StudiesUltrasound and Hyperthermia Applications

Modeling transcranial direct-current stimulation-induced electric fields in children and adults

Open access
Ciechanski, Patrick, Carlson, Helen L., Yu, Sabrina S., Kirton, Adam·2018·Frontiers in Human Neuroscience

Abstract

Transcranial direct-current stimulation (tDCS) is a form of non-invasive brain stimulation that induces electric fields in neuronal tissue, modulating cortical excitability. Therapeutic applications of tDCS are rapidly expanding, and are being investigated in pediatrics for various clinical conditions. Anatomical variations are among a host of factors that influence the effects of tDCS, and pronounced anatomical differences between children and adults suggest that induced electric fields may be substantially different across development. The aim of this study was to determine the strength and distribution of tDCS-induced electric fields across development. Typically developing children, adolescents, and adults were recruited. Individualized finite-element method modeling of primary motor cortex (M1) targeting tDCS was performed. In the largest pediatric sample to date, we found significantly higher peak and mean M1 electric field strength, and more expansive electric field spread for children compared to adults. Electric fields were often comparable between adolescents and adults. Our results suggest that these differences may be associated with age-related differences in skull and extra-axial space thickness, as well as developmental changes occurring in gray and white matter. Individualized current modeling may be a valuable tool for personalizing effective doses of tDCS in future pediatric clinical trials.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.3389/fnhum.2018.00268

Cites

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

No citation lists for this paper

No citation lists for this paper yet — checked again daily.

References 55 · Cited by 79

Research works printed but not linked: 53

  1. Ashburner J. Friston K. J. (2000). Voxel-based morphometry–the methods. Neuroimage 11 805– 821. 10.1006/nimg.2000.0582 10860804 · DOI · Paper page
  2. Avants B. B. Tustison N. J. Song G. Cook P. A. Klein A. Gee J. C. (2011). A reproducible evaluation of ANTs similarity metric performance in brain image registration. Neuroimage 54 2033– 2044. 10.1016/j.neuroimage.2010.09.025 20851191 PMC3065962 · DOI · Paper page
  3. Batsikadze G. Moliadze V. Paulus W. Kuo M.-F. Nitsche M. A. (2013). Partially non-linear stimulation intensity-dependent effects of direct current stimulation on motor cortex excitability in humans. J. Physiol. 591 1987– 2000. 10.1113/jphysiol.2012.249730 23339180 PMC3624864 · DOI · Paper page
  4. Bikson M. Grossman P. Thomas C. Zannou A. L. Jiang J. Adnan T. (2016). Safety of transcranial direct current stimulation: evidence based update 2016. Brain Stimul. 9 641– 661. 10.1016/j.brs.2016.06.004 27372845 PMC5007190 · DOI
  5. Brain Development Cooperative Group (2012). Total and regional brain volumes in a population-based normative sample from 4 to 18 years: the NIH MRI study of normal brain development. Cereb. Cortex 22 1– 2. 10.1093/cercor/bhr018 21613470 PMC3236790 · DOI
  6. Buch E. R. Santarnecchi E. Antal A. Born J. Celnik P. A. Classen J. (2017). Effects of tDCS on motor learning and memory formation: a consensus and critical position paper. Clin. Neurophysiol. 128 589– 603. 10.1016/j.clinph.2017.01.004 28231477 · DOI
  7. Chang Y. S. Owen J. P. Pojman N. J. Thieu T. Bukshpun P. Wakahiro M. L. J. (2015). White matter changes of neurite density and fiber orientation dispersion during human brain maturation. PLoS One 10: e0123656. 10.1371/journal.pone.0123656 26115451 PMC4482659 · DOI · Paper page
  8. Ciechanski P. Kirton A. (2016a). Transcranial direct-current stimulation can enhance motor learning in children. Cereb. Cortex 27 2758– 2767. 10.1093/cercor/bhw114 27166171 · DOI
  9. Ciechanski P. Kirton A. (2016b). “Transcranial direct-current stimulation (tDCS): principles and emerging applications in children,” in Pediatric Brain Stimulation: Mapping and Modulating the Developing Brain, 1st Edn, eds Kirton A. Gilbert D. (New York City, NY: Elsevier), 475.
  10. Datta A. Bansal V. Diaz J. Patel J. Reato D. Bikson M. (2009). Gyri –precise head model of transcranial DC stimulation: improved spatial focality using a ring electrode versus conventional rectangular pad. Brain Stimul. 2 201– 207. 10.1016/j.brs.2009.03.005 20648973 PMC2790295 · DOI
  11. Datta A. Bikson M. Fregni F. (2010). Transcranial direct current stimulation in patients with skull defects and skull plates: high-resolution computational FEM study of factors altering cortical current flow. Neuroimage 52 1268– 1278. 10.1016/j.neuroimage.2010.04.252 20435146 PMC2910315 · DOI
  12. Datta A. Zhou X. Su Y. Parra L. C. Bikson M. (2013). Validation of finite element model of transcranial electrical stimulation using scalp potentials: implications for clinical dose. J. Neural Eng. 10: 036018. 10.1088/1741-2560/10/3/036018 23649036 · DOI
  13. Dmochowski J. P. Datta A. Huang Y. Richardson J. D. Bikson M. Fridriksson J. (2013). Targeted transcranial direct current stimulation for rehabilitation after stroke. Neuroimage 75 12– 19. 10.1016/j.neuroimage.2013.02.049 23473936 PMC4120279 · DOI
  14. Ducharme S. Albaugh M. D. Nguyen T.-V. Hudziak J. J. Mateos-Pérez J. M. Labbe A. (2016). Trajectories of cortical thickness maturation in normal brain development–The importance of quality control procedures. Neuroimage 125 267– 279. 10.1016/j.neuroimage.2015.10.010 26463175 PMC4691414 · DOI · Paper page
  15. Fiocchi S. Ravazzani P. Priori A. Parazzini M. (2016). Cerebellar and spinal direct current stimulation in children: computational modeling of the induced electric field. Front. Hum. Neurosci. 10: 522. 10.3389/fnhum.2016.00522 27799905 PMC5065976 · DOI
  16. Fischl B. van der Kouwe A. Destrieux C. Halgren E. Ségonne F. Salat D. H. (2004). Automatically parcellating the human cerebral cortex. Cereb. Cortex 14 11– 22. 10.1093/cercor/bhg087 14654453 · DOI
  17. Geuzaine C. Remacle J.-F. (2009). Gmsh: a three-dimensional finite element mesh generator with built-in pre- and post-processing facilities. Int. J. Numer. Methods Eng. 79 1309– 1331. 10.1002/nme.2579 · DOI
  18. Giedd J. N. Blumenthal J. Jeffries N. O. Castellanos F. X. Liu H. Zijdenbos A. (1999). Brain development during childhood and adolescence: a longitudinal MRI study. Nat. Neurosci. 2 861– 863. 10.1038/13158 10491603 · DOI · Paper page
  19. Gillick B. T. Kirton A. Carmel J. B. Minhas P. Bikson M. (2014). Pediatric stroke and transcranial direct current stimulation: methods for rational individualized dose optimization. Front. Hum. Neurosci. 8: 739. 10.3389/fnhum.2014.00739 25285077 PMC4168687 · DOI
  20. Groeschel S. Vollmer B. King M. D. Connelly A. (2010). Developmental changes in cerebral grey and white matter volume from infancy to adulthood. Int. J. Dev. Neurosci. 28 481– 489. 10.1016/j.ijdevneu.2010.06.004 20600789 · DOI · Paper page
  21. Hameed M. Q. Dhamne S. C. Gersner R. Kaye H. L. Oberman L. M. Pascual-Leone A. (2017). Transcranial magnetic and direct current stimulation in children. Curr. Neurol. Neurosci. Rep. 17: 11. 10.1007/s11910-017-0719-0 28229395 PMC5962296 · DOI
  22. Hofer S. Frahm J. (2006). Topography of the human corpus callosum revisited–comprehensive fiber tractography using diffusion tensor magnetic resonance imaging. Neuroimage 32 989– 994. 10.1016/j.neuroimage.2006.05.044 16854598 · DOI
  23. Huang Y. Liu A. A. Lafon B. Friedman D. Dayan M. Wang X. (2017). Measurements and models of electric fields in the in vivo human brain during transcranial electric stimulation. eLife 6: e18834. 10.7554/eLife.18834 28169833 PMC5370189 · DOI
  24. Hummel F. Celnik P. Giraux P. Floel A. Wu W. H. Gerloff C. (2005). Effects of non-invasive cortical stimulation on skilled motor function in chronic stroke. Brain 128 490– 499. 10.1093/brain/awh369 15634731 · DOI
  25. Huttenlocher P. R. (1979). Synaptic density in human frontal cortex - developmental changes and effects of aging. Brain Res. 163 195– 205. 10.1016/0006-8993(79)90349-4 427544 · DOI · Paper page
  26. Huttenlocher P. R. de Courten C. Garey L. J. Van der Loos H. (1982). Synaptogenesis in human visual cortex–evidence for synapse elimination during normal development. Neurosci. Lett. 33 247– 252. 10.1016/0304-3940(82)90379-2 7162689 · DOI · Paper page
  27. Jenkinson M. Beckmann C. F. Behrens T. E. J. Woolrich M. W. Smith S. M. (2012). FSL. Neuroimage 62 782– 790. 10.1016/j.neuroimage.2011.09.015 21979382 · DOI · Paper page
  28. Kessler S. K. Minhas P. Woods A. J. Rosen A. Gorman C. Bikson M. (2013). Dosage considerations for transcranial direct current stimulation in children: a computational modeling study. PLoS One 8: e76112. 10.1371/journal.pone.0076112 24086698 PMC3785412 · DOI
  29. Kirton A. (2017). Advancing non-invasive neuromodulation clinical trials in children: lessons from perinatal stroke. Eur. J. Paediatr. Neurol. 21 75– 103. 10.1016/j.ejpn.2016.07.002 27470654 · DOI
  30. Kirton A. Ciechanski P. Zewdie E. Andersen J. Nettel-Aguirre A. Carlson H. (2016). Transcranial direct current stimulation for children with perinatal stroke and hemiparesis. Neurology 88 259– 267. 10.1212/WNL.0000000000003518 27927938 · DOI
  31. Kirton A. Ciechanski P. Zewdie E. Andersen J. Nettel-Aguirre A. Carlson H. (2017). Transcranial direct current stimulation for children with perinatal stroke and hemiparesis. Neurology 88 259– 267. 10.1212/WNL.0000000000003518 27927938 · DOI
  32. Klein A. Andersson J. Ardekani B. A. Ashburner J. Avants B. Chiang M.-C. (2009). Evaluation of 14 nonlinear deformation algorithms applied to human brain MRI registration. Neuroimage 46 786– 802. 10.1016/j.neuroimage.2008.12.037 19195496 PMC2747506 · DOI · Paper page
  33. Laakso I. Tanaka S. Mikkonen M. Koyama S. Sadato N. Hirata A. (2016). Electric fields of motor and frontal tDCS in a standard brain space: a computer simulation study. Neuroimage 137 140– 151. 10.1016/j.neuroimage.2016.05.032 27188218 · DOI
  34. Lefaucheur J.-P. (2016). A comprehensive database of published tDCS clinical trials (2005-2016). Neurophysiol. Clin. 46 319– 398. 10.1016/j.neucli.2016.10.002 27865707 · DOI
  35. Li Z. Park B.-K. Liu W. Zhang J. Reed M. P. Rupp J. D. (2015). A statistical skull geometry model for children 0-3 years old. PLoS One 10: e0127322. 10.1371/journal.pone.0127322 25992998 PMC4436309 · DOI
  36. Liebetanz D. Koch R. Mayenfels S. König F. Paulus W. Nitsche M. A. (2009). Safety limits of cathodal transcranial direct current stimulation in rats. Clin. Neurophysiol. 120 1161– 1167. 10.1016/j.clinph.2009.01.022 19403329 · DOI
  37. Lindenberg R. Renga V. Zhu L. L. Nair D. Schlaug G. (2010). Bihemispheric brain stimulation facilitates motor recovery in chronic stroke patients. Neurology 75 2176– 2184. 10.1212/WNL.0b013e318202013a 21068427 PMC3013585 · DOI
  38. Minhas P. Bikson M. Woods A. J. Rosen A. R. Kessler S. K. (2012). “Transcranial direct current stimulation in pediatric brain: a computational modeling study,” in Proceedings of the Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE, San Diego, CA, 859– 862. 10.1109/EMBC.2012.6346067 PMC3641645 23366028 · DOI
  39. Moliadze V. Lyzhko E. Schmanke T. Andreas S. Freitag C. M. Siniatchkin M. (2018). 1 mA cathodal tDCS shows excitatory effects in children and adolescents: insights from TMS evoked N100 potential. Brain Res. Bull. 140 43– 51. 10.1016/j.brainresbull.2018.03.018 29625151 · DOI
  40. Moliadze V. Schmanke T. Andreas S. Lyzhko E. Freitag C. M. Siniatchkin M. (2015). Stimulation intensities of transcranial direct current stimulation have to be adjusted in children and adolescents. Clin. Neurophysiol. 126 1392– 1399. 10.1016/j.clinph.2014.10.142 25468234 · DOI
  41. Opitz A. Paulus W. Will S. Antunes A. Thielscher A. (2015). Determinants of the electric field during transcranial direct current stimulation. Neuroimage 109 140– 150. 10.1016/j.neuroimage.2015.01.033 25613437 · DOI
  42. Opitz A. Windhoff M. Heidemann R. M. Turner R. Thielscher A. (2011). How the brain tissue shapes the electric field induced by transcranial magnetic stimulation. Neuroimage 58 849– 859. 10.1016/j.neuroimage.2011.06.069 21749927 · DOI
  43. Parazzini M. Fiocchi S. Liorni I. Priori A. Ravazzani P. (2014). Computational modeling of transcranial direct current stimulation in the child brain: implications for the treatment of refractory childhood focal epilepsy. Int. J. Neural Syst. 24: 1430006. 10.1142/S012906571430006X 24475898 · DOI
  44. Parazzini M. Fiocchi S. Liorni I. Ravazzani P. (2015). Effect of the interindividual variability on computational modeling of transcranial direct current stimulation. Comput. Intell. Neurosci. 2015: 963293. 10.1155/2015/963293 26265912 PMC4523656 · DOI
  45. Paus T. (2005). Mapping brain maturation and cognitive development during adolescence. Trends Cogn. Sci. 9 60– 68. 10.1016/j.tics.2004.12.008 15668098 · DOI · Paper page
  46. Reis J. Fritsch B. (2011). Modulation of motor performance and motor learning by transcranial direct current stimulation. Curr. Opin. Neurol. 24 590– 596. 10.1097/WCO.0b013e32834c3db0 21968548 · DOI
  47. Reis J. Schambra H. M. Cohen L. G. Buch E. R. Fritsch B. Zarahn E. (2009). Noninvasive cortical stimulation enhances motor skill acquisition over multiple days through an effect on consolidation. Proc. Natl. Acad. Sci. U.S.A. 106 1590– 1595. 10.1073/pnas.0805413106 19164589 PMC2635787 · DOI · Paper page
  48. Shaw P. Kabani N. J. Lerch J. P. Eckstrand K. Lenroot R. Gogtay N. (2008). Neurodevelopmental trajectories of the human cerebral cortex. J. Neurosci. 28 3586– 3594. 10.1523/JNEUROSCI.5309-07.2008 18385317 PMC6671079 · DOI · Paper page
  49. Sowell E. R. Thompson P. M. Leonard C. M. Welcome S. E. Kan E. Toga A. W. (2004). Longitudinal mapping of cortical thickness and brain growth in normal children. J. Neurosci. 24 8223– 8231. 10.1523/JNEUROSCI.1798-04.2004 15385605 PMC6729679 · DOI · Paper page
  50. Thielscher A. Antunes A. Saturnino G. B. (2015). “Field modeling for transcranial magnetic stimulation: a useful tool to understand the physiological effects of TMS?,” in Proceedings of the 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Milan, 222– 225. 10.1109/EMBC.2015.7318340 26736240 · DOI · Paper page
  51. Vines B. W. Cerruti C. Schlaug G. (2008). Dual-hemisphere tDCS facilitates greater improvements for healthy subjects’ non-dominant hand compared to uni-hemisphere stimulation. BMC Neurosci. 9: 103. 10.1186/1471-2202-9-103 18957075 PMC2584652 · DOI
  52. Wendel K. Malmivuo J. (2006). Correlation between live and post mortem skull conductivity measurements. Conf. Proc. IEEE Eng. Med. Biol. Sci. 1 4285– 4288. 10.1109/IEMBS.2006.259434 17947075 · DOI
  53. Yousry T. A. Schmid U. D. Alkadhi H. Schmidt D. Peraud A. Buettner A. (1997). Localization of the motor hand area to a knob on the precentral gyrus. A new landmark. Brain J. Neurol. 120(Pt 1), 141– 157. 10.1093/brain/120.1.141 9055804 · DOI

Authors
Ciechanski, P., Carlson, H. L., Yu, S. S., & Kirton, A.
Affiliations
University of Calgary (CA)
Corresponding author
  • Ciechanski, Patrick
  • Kirton, Adam
Venue
Frontiers in Human Neuroscience
Published
2018-07-03
Volume
12
Pages
268-268
ISSN
1662-5161 (ISSN-L)
OpenAlex
W2807837533
Cited by
79
References
55
Citations by year
2026: 5 · 2025: 12 · 2024: 3 · 2023: 11 · 2022: 11 · 2021: 13 · 2020: 8 · 2019: 12 · 2018: 3 · 2012: 1
FWCI
4.05
Type
journal article
Language
en
Open access
Locations
  • Frontiers in Human Neuroscience (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
  • Heart and Stroke Foundation of Canada
  • Alberta Children’s Hospital Foundation
Topics
  • Life Sciences › Neuroscience › Neurology › Transcranial Magnetic Stimulation Studies
  • Health Sciences › Medicine › Psychiatry and Mental health › Electroconvulsive Therapy Studies
  • Physical Sciences › Engineering › Biomedical Engineering › Ultrasound and Hyperthermia Applications
Keywords
transcranial direct current stimulation, primary motor cortex, developmental differences, children, adolescents, adults, skull thickness

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review