Evidence map›Paper›PMID 28578130›Full record

ArticleNeuroImage2017

Optimal use of EEG recordings to target active brain areas with transcranial electrical stimulation.

Jacek P Dmochowski, Laurent Koessler, Anthony M Norcia, Marom Bikson, Lucas C Parra

Registry-linked trialAbstract read
In one paragraph

Article in NeuroImage, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03062553 (Enhancement of Treatment of Delusions in Schizophrenia Through Neuromodulation), which is not on this map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT03062553 nawithdrawnnot on this mapstarted 2019, after this paper: background citation

Enhancement of Treatment of Delusions in Schizophrenia Through Neuromodulation

TypeinterventionalSponsorUniversity of British ColumbiaRan2019 to 2020Enrolled0ConditionsSchizophrenia, Psychosis, DelusionsArmsMetacognitive Training (MCT), Sham/MCT, transcranial alternating current stimulation (tACS)
3 · Its place in the literature

Who cites it

28 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Article
  4. Computational Optimization of Spinal Cord Stimulation for Dorsal Horn Interneuron Polarization.Neuromodulation : journal of the International Neuromodulation Society · 2025
    Article
  5. Using Electroencephalography to Advance Mindfulness Science: A Survey of Emerging Methods and Approaches.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2025
    Review
  6. Article
  7. Article
  8. Review
  9. Visualizing interferential stimulation of human brains.Frontiers in human neuroscience · 2023
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Jacek P DmochowskiDepartment of Biomedical Engineering, Steinman Hall 460 City College of New York, New York, NY 10031, USA. Electronic address: jdmochowski@ccny.cuny.edu.
Laurent KoesslerCNRS - University of Lorraine, France.
Anthony M NorciaStanford University, USA.
Marom BiksonCity College of New York, USA.
Lucas C ParraCity College of New York, USA.

Funding

Targeted Transcranial Electrotherapy to accelerate Stroke Rehabilitation-Exploratory Trial on AphasiaR44NS092144 · NINDS · SOTERIX MEDICAL,INC. · PI DATTA, ABHISHEK, PARRA, LUCAS C · 2015 to 2018
$3.0M
A tool-box to control and enhance tDCS spatial precisionR01MH111896 · NIMH · CITY COLLEGE OF NEW YORK · PI BIKSON, MAROM · 2016 to 2019
$2.2M
NIMH NIH HHS R01 MH111896NINDS NIH HHS R44 NS092144
6 · The paper itself

Abstract

To demonstrate causal relationships between brain and behavior, investigators would like to guide brain stimulation using measurements of neural activity. Particularly promising in this context are electroencephalography (EEG) and transcranial electrical stimulation (TES), as they are linked by a reciprocity principle which, despite being known for decades, has not led to a formalism for relating EEG recordings to optimal stimulation parameters. Here we derive a closed-form expression for the TES configuration that optimally stimulates (i.e., targets) the sources of recorded EEG, without making assumptions about source location or distribution. We also derive a duality between TES targeting and EEG source localization, and demonstrate that in cases where source localization fails, so does the proposed targeting. Numerical simulations with multiple head models confirm these theoretical predictions and quantify the achieved stimulation in terms of focality and intensity. We show that constraining the stimulation currents automatically selects optimal montages that involve only a few (4-7) electrodes, with only incremental loss in performance when targeting focal activations. The proposed technique allows brain scientists and clinicians to rationally target the sources of observed EEG and thus overcomes a major obstacle to the realization of individualized or closed-loop brain stimulation.

Indexed as

Cerebral CortexElectroencephalographyHumansTranscranial Direct Current StimulationClosed-loop stimulationEEGReciprocitySource localizationTranscranial direct current stimulationTranscranial electrical stimulation

Identifiers

PMID28578130
PMCPMC5777160

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.