Evidence map›Paper›PMID 35231608›Full record

Trial reportBrain stimulation

Daily prefrontal closed-loop repetitive transcranial magnetic stimulation (rTMS) produces progressive EEG quasi-alpha phase entrainment in depressed adults.

Josef Faller, Jayce Doose, Xiaoxiao Sun, James R Mclntosh, Golbarg T Saber, Yida Lin, Joshua B Teves, Aidan Blankenship, Sarah Huffman, Robin I Goldman and 3 more

Open access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Brain stimulation. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
4.1field-weighted citation impact, top 5% of its field
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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

26 citing papers in PubMed, 51 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Trial
  4. Article
  5. Article
  6. Article
  7. Advances in the Clinical Application of Neurostimulation in Major Depression.Advances in experimental medicine and biology · 2026
    Review
  8. Neurodevelopmental considerations for transcranial magnetic stimulation trials in youth.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026
    Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Review
  15. Article
  16. Review
  17. Closed-Loop Brain Stimulation.Biological psychiatry · 2024
    Review
  18. Review
  19. Closed-loop neurostimulation for the treatment of psychiatric disorders.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2024
    Review
  20. Accelerated TMS - moving quickly into the future of depression treatment.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2024
    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

13 authors at 5 institutions in 1 country.

Josef FallerDepartment of Biomedical Engineering, Columbia University, New York, NY, 10027, USA.
Jayce DooseCenter for Biomedical Imaging, Medical University of South Carolina, Charleston, SC, 29425, USA.
Xiaoxiao SunDepartment of Biomedical Engineering, Columbia University, New York, NY, 10027, USA; US DEVCOM Army Research Laboratory, Aberdeen Proving Ground, MD, 20115, USA.
James R MclntoshDepartment of Biomedical Engineering, Columbia University, New York, NY, 10027, USA; Department of Orthopaedic Surgery, Columbia University Irving Medical Center, New York, NY, 10032, USA.
Golbarg T SaberDepartment of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, 29425, USA; Department of Neurology, University of Chicago, Chicago, IL, 60637, USA.
Yida LinDepartment of Computer Science, Columbia University, New York, NY, 10027, USA.
Joshua B TevesDepartment of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, 29425, USA.
Aidan BlankenshipDepartment of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, 29425, USA.
Sarah HuffmanDepartment of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston, SC, 29425, USA.
Robin I GoldmanCenter for Healthy Minds, University of Wisconsin-Madison, Madison, WI, 53705, USA.
Mark S GeorgeDepartment of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston, SC, 29425, USA; Ralph H. Johnson VA Medical Center, Charleston, SC, 29401, USA.
Truman R BrownCenter for Biomedical Imaging, Medical University of South Carolina, Charleston, SC, 29425, USA; Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, 29425, USA.
Paul SajdaDepartment of Biomedical Engineering, Columbia University, New York, NY, 10027, USA; Department of Radiology, Columbia University Irving Medical Center, New York, NY, 10032, USA; Department of Electrical Engineering, Columbia University, New York, NY, 10027, USA; Data Science Institute, Columbia University, New York, NY, 10027, USA. Electronic address: psajda@columbia.edu.
Medical University of South Carolina · USColumbia University · USColumbia University Irving Medical Center · USDEVCOM Army Research Laboratory · USUniversity of Wisconsin–Madison · US

Funding

EEG/fMRI Controlled TMS Real-time Neural Feedback in Anti-Depressive TreatmentR33MH106775 · NIMH · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI BROWN, TRUMAN R · 2018 to 2020
$2.3M
EEG/fMRI Controlled TMS Real-time Neural Feedback in Anti-Depressive TreatmentR21MH106775 · NIMH · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI BROWN, TRUMAN R · 2015 to 2016
$1.4M
NIMH NIH HHS R21 MH106775NIMH NIH HHS R33 MH106775
6 · The paper itself

Abstract

backgroundTranscranial magnetic stimulation (TMS) is a non-invasive neuromodulation modality that can treat depression, obsessive-compulsive disorder, or help smoking cessation. Research suggests that timing the delivery of TMS relative to an endogenous brain state may affect efficacy and short-term brain dynamics.

objectiveTo investigate whether, for a multi-week daily treatment of repetitive TMS (rTMS), there is an effect on brain dynamics that depends on the timing of the TMS relative to individuals' prefrontal EEG quasi-alpha rhythm (between 6 and 13 Hz).

methodWe developed a novel closed-loop system that delivers personalized EEG-triggered rTMS to patients undergoing treatment for major depressive disorder. In a double blind study, patients received daily treatments of rTMS over a period of six weeks and were randomly assigned to either a synchronized or unsynchronized treatment group, where synchronization of rTMS was to their prefrontal EEG quasi-alpha rhythm.

resultsWhen rTMS is applied over the dorsal lateral prefrontal cortex (DLPFC) and synchronized to the patient's prefrontal quasi-alpha rhythm, patients develop strong phase entrainment over a period of weeks, both over the stimulation site as well as in a subset of areas distal to the stimulation site. In addition, at the end of the course of treatment, this group's entrainment phase shifts to be closer to the phase that optimally engages the distal target, namely the anterior cingulate cortex (ACC). These entrainment effects are not observed in the group that is given rTMS without initial EEG synchronization of each TMS train.

conclusionsThe entrainment effects build over the course of days/weeks, suggesting that these effects engage neuroplastic changes which may have clinical consequences in depression or other diseases.

Indexed as

Major Depressive DisorderTranscranial Magnetic StimulationAdultAlpha RhythmBrainHumansPrefrontal CortexTreatment OutcomeClosed-loop neurostimulationElectroencephalography (EEG)Inter-trial phase coherence (ITPC)Major depressive disorder (MDD)Repetitive transcranial magnetic stimulation (rTMS)

Identifiers

PMID35231608
PMCPMC8979612
OpenAlexW4214732357

What OpenQuestion holds

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Registered trials

None linked

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.