Cited by 366Transcranial Magnetic Stimulation StudiesTreatment of Major DepressionNeurological disorders and treatments

Using brain imaging to improve spatial targeting of transcranial magnetic stimulation for depression

Open access
Cash, Robin F.H., Weigand, Anne, Zalesky, Andrew, Siddiqi, Shan H., Downar, Jonathan, Fitzgerald, Paul B., Fox, Michael D.·2021·Biological Psychiatry

Abstract

Transcranial magnetic stimulation (TMS) is an effective treatment for depression but is limited in that the optimal therapeutic target remains unknown. Early TMS trials lacked a focal target and thus positioned the TMS coil over the prefrontal cortex using scalp measurements. Over time, it became clear that this method leads to variation in the stimulation site and that this could contribute to heterogeneity in antidepressant response. Newer methods allow for precise positioning of the TMS coil over a specific brain location, but leveraging these precise methods requires a more precise therapeutic target. We review how neuroimaging is being used to identify a more focal therapeutic target for depression. We highlight recent studies showing that more effective TMS targets in the frontal cortex are functionally connected to deep limbic regions such as the subgenual cingulate cortex. We review how connectivity might be used to identify an optimal TMS target for use in all patients and potentially even a personalized target for each individual patient. We address the clinical implications of this emerging field and highlight critical questions for future research.

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 · 10.1016/j.biopsych.2020.05.033

Cites

20 of 20 references verified0 citation errors · 0 not checkable

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?

  • Most clinical rTMS treatments for MDD occur daily and are applied using scalp-based targeting of DLPFC; these standard treatments are only modestly effective, even in the general MDD population.

    “Most clinical rTMS treatments for MDD occur daily (one rTMS session per day) and are applied using scalp-based targeting of DLPFC. These standard treatments are only modestly effective, even in the general MDD population (17, 24–31).”

    From Adaptive trial for the treatment of depressive symptoms associated with concussion using accelerated intermittent theta burst stimulation (ADEPT): rationale, design and methods (2025) · cites this paper as [31]

    The ‘Targeting TMS Using Scalp Measurements’ section says scalp-based DLPFC targeting was the most common method in randomized trials. The Conclusions table describes a once-daily regimen, and the opening section reports typical response rates of 29–46% and remission rates of 18–31%. However, the paper discusses these outcomes in the context of treatment-resistant depression; it does not establish the same modest effectiveness for the general MDD population. (LLM, conf=0.84)

    Experimental — accuracy not yet measured

Self-check

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

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

Cites

Flagged first, then by citations

Research works printed but not linked: 12

  1. Berlim MT, van den Eynde F, Tovar-Perdomo S, Daskalakis ZJ (2014): Response, remission and drop-out rates following high- frequency repetitive transcranial magnetic stimulation (rTMS) for treating major depression: A systematic review and meta-analysis of randomized, double-blind and sham-controlled trials. Psychol Med 44:225-239.
  2. Downar J, Daskalakis ZJ (2013): New targets for rTMS in depression: A review of convergent evidence. Brain Stimul 6:231-240.
  3. Fitzgerald PB, Daskalakis ZJ (2013): Repetitive Transcranial Magnetic Stimulation Treatment for Depressive Disorders: A Practical Guide. Berlin: Springer.
  4. Brunoni AR, Chaimani A, Moffa AH, Razza LB, Gattaz WF, Daskalakis ZJ, et al. (2017): Repetitive transcranial magnetic stimu- lation for the acute treatment of major depressive episodes: A sys- tematic review with network meta-analysis. JAMA Psychiatry 74:143- 152.
  5. von Economo CF, Koskinas GN (1925): Die Cytoarchitektonik der Hirnrinde des Erwachsenen Menschen. J. Springer. Improving Spatial Targeting of TMS for Depression Biological Psychiatry --, 2020; -:---www.sobp.org/journal
  6. Carson AJ, MacHale S, Allen K, Lawrie SM, Dennis M, House A, et al. (2000): Depression after stroke and lesion location: A systematic review. Lancet 356:122-126.
  7. Elliott ML, Knodt AR, Ireland D, Morris ML, Poulton R, Ramrakha S, et al. (2019): What is the test-retest reliability of common task-fMRI measures? New empirical evidence and a meta-analysis. bioRxiv. https://doi.org/10.1101/681700. · DOI
  8. Parkes L, Fulcher B, Yucel M, Fornito A (2018): An evaluation of the efficacy, reliability, and sensitivity of motion correction strategies for resting-state functional MRI. Neuroimage 171:415-436. 101. Gratton C, Laumann TO, Nielsen AN, Greene DJ, Gordon EM, Gilmore AW, et al. (2018): Functional brain networks are dominated by stable group and individual factors, not cognitive or daily variation. Neuron 98:439-452.e435. 102. Braga RM, Buckner RL (2017): Parallel interdigitated distributed networks within the individual estimated by intrinsic functional con- nectivity. Neuron 95:457-471.e455. 103. Horien C, Shen X, Scheinost D, Constable RT (2019): The individual functional connectome is unique and stable over months to years. Neuroimage 189:676-687. 104. Cash R, Cocchi L, Lv J, Fitzgerald P, Zalesky A (2020): Toward state- of-the-art connectivity-guided TMS: Personalization, precision & clinical response. Program No. 0047. Proceedings of the Organiza- tion for Human Brain Mapping, June 23-July 3. 105.
  9. Beynel L, Powers JP, Appelbaum LG (2020): Effects of repetitive transcranial magnetic stimulation on resting-state connectivity: A systematic review. Neuroimage 211:116596. 130.
  10. Jannati A, Block G, Oberman LM, Rotenberg A, Pascual-Leone A (2017): Interindividual variability in response to continuous theta- burst stimulation in healthy adults. Clin Neurophysiol 128:2268-2278. 146. Miron JP, Feffer K, Cash RFH, Derakhshan D, Kim JMS, Fettes P, et al. (2019): Safety, tolerability and effectiveness of a novel 20 Hz rTMS protocol targeting dorsomedial prefrontal cortex in major depression: An open-label case series. Brain Stimul 12:1319-1321. 147. Xie J, Chen J, Wei Q (2013): Repetitive transcranial magnetic stimu- lation versus electroconvulsive therapy for major depression: A meta- analysis of stimulus parameter effects. Neurol Res 35:1084-1091. 148. Ke J, Zou X, Huang M, Huang Q, Li H, Zhou X (2020): High-frequency rTMS with two different inter-train intervals improves upper limb motor function at the early stage of stroke. J Int Med Res 48(6): 0300060520928737. 149. Cash RF, Murakami T, Chen R, Thickbroom GW, Ziemann U (2016): Augmenting plasticity induction in human motor cortex by disinhibi- tion stimulation. Cereb Cortex 26:58-69. 150. Chung SW, Sullivan CM, Rogasch NC, Hoy KE, Bailey NW, Cash RF, et al. (2018): The effects of individualised intermittent theta burst stimulation in the prefrontal cortex: A TMS-EEG study. Hum Brain Mapp 40:608-627. 151. Cash RF, Mastaglia FL, Thickbroom GW (2013): Evidence for high- fidelity timing-dependent synaptic plasticity of human motor cortex. J Neurophysiol 109:106-112. 152.
  11. Stefanou MI, Baur D, Belardinelli P, Bergmann TO, Blum C, Gordon PC, et al. (2019): Brain state-dependent brain stimulation with real-time electroencephalography-triggered transcranial mag- netic stimulation. J Vis Exp (150):10.3791/59711. 153. Bergmann TO, Molle M, Schmidt MA, Lindner C, Marshall L, Born J, et al. (2012): EEG-guided transcranial magnetic stimulation reveals rapid shifts in motor cortical excitability during the human sleep slow oscillation. J Neurosci 32:243-253. 154. Bergmann TO, Karabanov A, Hartwigsen G, Thielscher A, Siebner HR (2016): Combining non-invasive transcranial brain stimulation with neuroimaging and electrophysiology: Current approaches and future perspectives. Neuroimage 140:4-19. 155. · DOI
  12. Cash, R. F. H., Weigand, A., Zalesky, A., Siddiqi, S. H., Downar, J., Fitzgerald, P. B. & Fox, M. D. (2020). Using Brain Imaging to Improve Spatial Targeting of Transcranial Magnetic Stimulation for Depression.. Biol Psychiatry, https://doi.org/10.1016/j.biopsych.2020.05.033. Persistent Link: http://hdl.handle.net/11343/252492 File Description: Published version License: cc-by-nc-nd

Cited by

Sorted by citations

Authors
Cash, R. F. H., Weigand, A., Zalesky, A., Siddiqi, S. H., Downar, J., Fitzgerald, P. B., & Fox, M. D.
Affiliations
  • The University of Melbourne (AU)
  • Beth Israel Deaconess Medical Center (US)
  • University of Toronto (CA)
  • Epworth Hospital (AU)
  • Brigham and Women's Hospital (US)
Corresponding author
  • Cash, Robin F.H.
  • Fox, Michael D.
Venue
Biological Psychiatry
Publisher
Elsevier BV
Published
2021-11
Volume
90
Issue
10
Pages
689-700
ISSN
0006-3223 (ISSN-L)
OpenAlex
W3033781588
Cited by
366
References
20
Citations by year
2026: 63 · 2025: 83 · 2024: 71 · 2023: 70 · 2022: 47 · 2021: 27 · 2020: 5
FWCI
3.71
Type
journal article
Language
en
Open access
Locations
  • Biological Psychiatry (publishedVersion)
  • PubMed (publishedVersion)
  • Minerva Access (University of Melbourne) (submittedVersion, cc-by-nc-nd)
Funders
  • BrainsWay
  • Klarman Family Foundation
  • Canadian Institutes of Health Research
  • Nancy Lurie Marks Family Foundation
  • Ontario Brain Institute
  • Sidney R. Baer, Jr. Foundation
  • National Institute of Mental Health
  • Brain and Behavior Research Foundation
  • National Institutes of Health
  • Arrell Family Foundation
  • G. Harold and Leila Y. Mathers Charitable Foundation
  • H. Lundbeck A/S
  • Fondation Brain Canada
  • Australian Research Council (DE200101708)
  • Weston Family Foundation
  • Toronto General and Western Hospital Foundation
  • National Health and Medical Research Council (1136649, 1078567)
Topics
  • Life Sciences › Neuroscience › Neurology › Transcranial Magnetic Stimulation Studies
  • Health Sciences › Medicine › Pharmacology › Treatment of Major Depression
  • Health Sciences › Medicine › Neurology › Neurological disorders and treatments
Keywords
transcranial magnetic stimulation, depression, neuroimaging, functional connectivity, subgenual anterior cingulate cortex, prefrontal cortex, personalized treatment
MeSH terms
Brain, Depression, Major Depressive Disorder, Depressive Disorder, Major, Humans, Transcranial Magnetic Stimulation, Neuroimaging

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