Literature DB >> 32330607

Transcranial electrical stimulation motor threshold can estimate individualized tDCS dosage from reverse-calculation electric-field modeling.

Kevin A Caulfield1, Bashar W Badran2, William H DeVries2, Philipp M Summers2, Emma Kofmehl2, Xingbao Li2, Jeffrey J Borckardt2, Marom Bikson3, Mark S George4.   

Abstract

BACKGROUND: Unique amongst brain stimulation tools, transcranial direct current stimulation (tDCS) currently lacks an easy or widely implemented method for individualizing dosage.
OBJECTIVE: We developed a method of reverse-calculating electric-field (E-field) models based on Magnetic Resonance Imaging (MRI) scans that can estimate individualized tDCS dose. We also evaluated an MRI-free method of individualizing tDCS dose by measuring transcranial magnetic stimulation (TMS) motor threshold (MT) and single pulse, suprathreshold transcranial electrical stimulation (TES) MT and regressing it against E-field modeling. Key assumptions of reverse-calculation E-field modeling, including the size of region of interest (ROI) analysis and the linearity of multiple E-field models were also tested.
METHODS: In 29 healthy adults, we acquired TMS MT, TES MT, and anatomical T1-weighted MPRAGE MRI scans with a fiducial marking the motor hotspot. We then computed a "reverse-calculated tDCS dose" of tDCS applied at the scalp needed to cause a 1.00 V/m E-field at the cortex. Finally, we examined whether the predicted E-field values correlated with each participant's measured TMS MT or TES MT.
RESULTS: We were able to determine a reverse-calculated tDCS dose for each participant using a 5 × 5 x 5 voxel grid region of interest (ROI) approach (average = 6.03 mA, SD = 1.44 mA, range = 3.75-9.74 mA). The Transcranial Electrical Stimulation MT, but not the Transcranial Magnetic Stimulation MT, significantly correlated with the ROI-based reverse-calculated tDCS dose determined by E-field modeling (R2 = 0.45, p < 0.001).
CONCLUSIONS: Reverse-calculation E-field modeling, alone or regressed against TES MT, shows promise as a method to individualize tDCS dose. The large range of the reverse-calculated tDCS doses between subjects underscores the likely need to individualize tDCS dose. Future research should further examine the use of TES MT to individually dose tDCS as an MRI-free method of dosing tDCS.
Copyright © 2020 The Author(s). Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Electric field modeling; Individualized dosing; Transcranial direct current stimulation; Transcranial electrical stimulation; Transcranial magnetic stimulation; tDCS; tDCS dosing

Year:  2020        PMID: 32330607     DOI: 10.1016/j.brs.2020.04.007

Source DB:  PubMed          Journal:  Brain Stimul        ISSN: 1876-4754            Impact factor:   8.955


  15 in total

Review 1.  Mind-wandering: mechanistic insights from lesion, tDCS, and iEEG.

Authors:  Julia W Y Kam; Matthias Mittner; Robert T Knight
Journal:  Trends Cogn Sci       Date:  2022-01-24       Impact factor: 24.482

2.  i-SATA: A MATLAB based toolbox to estimate current density generated by transcranial direct current stimulation in an individual brain.

Authors:  Rajan Kashyap; Sagarika Bhattacharjee; Ramaswamy Arumugam; Kenichi Oishi; John E Desmond; Sh Annabel Chen
Journal:  J Neural Eng       Date:  2020-10-14       Impact factor: 5.379

3.  Four electric field modeling methods of Dosing Prefrontal Transcranial Magnetic Stimulation (TMS): Introducing APEX MT dosimetry.

Authors:  Kevin A Caulfield; Xingbao Li; Mark S George
Journal:  Brain Stimul       Date:  2021-06-26       Impact factor: 8.955

4.  Estimation of individually induced e-field strength during transcranial electric stimulation using the head circumference.

Authors:  Daria Antonenko; Ulrike Grittner; Oula Puonti; Agnes Flöel; Axel Thielscher
Journal:  Brain Stimul       Date:  2021-07-08       Impact factor: 9.184

5.  Brain stimulation in zero gravity: transcranial magnetic stimulation (TMS) motor threshold decreases during zero gravity induced by parabolic flight.

Authors:  Bashar W Badran; Kevin A Caulfield; Claire Cox; James W Lopez; Jeffrey J Borckardt; William H DeVries; Philipp Summers; Suzanne Kerns; Colleen A Hanlon; Lisa M McTeague; Mark S George; Donna R Roberts
Journal:  NPJ Microgravity       Date:  2020-09-21       Impact factor: 4.415

6.  Group and individual level variations between symmetric and asymmetric DLPFC montages for tDCS over large scale brain network nodes.

Authors:  Ghazaleh Soleimani; Mehrdad Saviz; Marom Bikson; Farzad Towhidkhah; Rayus Kuplicki; Martin P Paulus; Hamed Ekhtiari
Journal:  Sci Rep       Date:  2021-01-14       Impact factor: 4.379

7.  Can transcranial electrical stimulation motor threshold estimate individualized tDCS doses over the prefrontal cortex? Evidence from reverse-calculation electric field modeling.

Authors:  Kevin A Caulfield; Bashar W Badran; Xingbao Li; Marom Bikson; Mark S George
Journal:  Brain Stimul       Date:  2020-05-19       Impact factor: 8.955

Review 8.  Is there a neuroscience-based, mechanistic rationale for transcranial direct current stimulation as an adjunct treatment for posttraumatic stress disorder?

Authors:  C R Faucher; R A Doherty; N S Philip; A S M Harle; J J E Cole; M Van't Wout-Frank
Journal:  Behav Neurosci       Date:  2021-08-02       Impact factor: 1.912

9.  A reexamination of motor and prefrontal TMS in tobacco use disorder: Time for personalized dosing based on electric field modeling?

Authors:  Kevin A Caulfield; Xingbao Li; Mark S George
Journal:  Clin Neurophysiol       Date:  2021-07-10       Impact factor: 4.861

10.  Implicit visual sensitivity towards slim versus overweight bodies modulates motor resonance in the primary motor cortex: A tDCS study.

Authors:  Stergios Makris; Valentina Cazzato
Journal:  Cogn Affect Behav Neurosci       Date:  2020-12-01       Impact factor: 3.526

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.