Evidence map›Paper›PMID 34767967›Full record

Trial reportBrain stimulation

Anatomical and fMRI-network comparison of multiple DLPFC targeting strategies for repetitive transcranial magnetic stimulation treatment of depression.

V A Cardenas, J V Bhat, A M Horwege, T J Ehrlich, J Lavacot, D H Mathalon, G H Glover, B J Roach, B W Badran, S D Forman and 5 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 32 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 1 pooled it
4.0field-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

32 citing papers in PubMed, 1 synthesis or guideline pooled it, 64 citations in OpenAlex.

  1. Pooled it
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  13. A review of diffusion MRI in mood disorders: mechanisms and predictors of treatment response.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2024
    Review
  14. Meta-learning of human motor adaptation via the dorsal premotor cortex.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
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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

15 authors at 8 institutions in 2 countries.

V A CardenasVeterans Affairs Palo Alto Health Care System, Palo Alto, CA, USA.
J V BhatVeterans Affairs Palo Alto Health Care System, Palo Alto, CA, USA; Palo Alto Veterans Institute for Research, Palo Alto, CA, 94304, USA.
A M HorwegeVeterans Affairs Palo Alto Health Care System, Palo Alto, CA, USA.
T J EhrlichVeterans Affairs Palo Alto Health Care System, Palo Alto, CA, USA; University of Michigan, Ann Arbor, MI, USA.
J LavacotVeterans Affairs Palo Alto Health Care System, Palo Alto, CA, USA.
D H MathalonMental Health Service, San Francisco Veterans Affairs Health Care System, University of California, San Francisco, San Francisco, CA, USA; Department of Psychiatry, University of California, San Francisco, San Francisco, CA, USA.
G H GloverDepartment of Radiology, Stanford University, Stanford, CA, USA.
B J RoachMental Health Service, San Francisco Veterans Affairs Health Care System, University of California, San Francisco, San Francisco, CA, USA; Northern California Institute for Research and Education, San Francisco Veterans Affairs Medical Center, University of California, San Francisco, San Francisco, CA, USA.
B W BadranBrain Stimulation Division, Department of Psychiatry, Medical University of South Carolina, Charleston, SC, USA.
S D FormanDepartment of Veterans Affairs, Veterans Affairs Medical Center, Pittsburgh, PA, USA; Western Psychiatric Institute and Clinic, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
M S GeorgeBrain Stimulation Division, Department of Psychiatry, Medical University of South Carolina, Charleston, SC, USA; Ralph H. Johnson VA Medical Center, Charleston, SC, USA.
M E ThaseVISN4 Mental Illness Research, Education, and Clinical Center at the Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA, 19104, USA; Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
J A YesavageVeterans Affairs Palo Alto Health Care System, Palo Alto, CA, USA; Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA.
D Yurgelun-ToddRocky Mountain Network Mental Illness Research Education and Clinical Centers (VISN 19), VA Salt Lake City Health Care System, Salt Lake City, UT, USA; Department of Psychiatry, University of Utah School of Medicine, Salt Lake City, UT, USA.
A C RosenVeterans Affairs Palo Alto Health Care System, Palo Alto, CA, USA; Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA. Electronic address: rosena@stanford.edu.
VA Palo Alto Health Care System · USMedical University of South Carolina · USPhiladelphia VA Medical Center · USSan Francisco VA Medical Center · USStanford University · USUniversity of California, San Francisco · USUniversity of Pittsburgh · USUniversity of Utah · US

Funding

Stanford Alzheimer's Disease Research CenterAdmin Supp: Developing iPSC models for AD and PDP30AG066515 · NIA · STANFORD UNIVERSITY · PI Lisa Goldman Rosas · 2020 to 2026
$29.0M
Treating Depression and Enhancing Locomotor Recovery Post-strokeP20GM109040 · NIGMS · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI KAUTZ, STEVEN A. · 2014 to 2024
$23.5M
Techniques DevelopmentP2CHD086844 · NICHD · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI THOMPSON, AIKO · 2015 to 2024
$12.7M
COCA: Project 4. Neurocircuit Strategy to Decrease Cocaine Cue ReactivityP50DA046373 · NIDA · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI HANLON, COLLEEN A · 2019 to 2023
$9.9M
MRI Analysis of Coil Position to Improve the rTMS Treatment of DepressionI01CX000604 · VA · VETERANS ADMIN PALO ALTO HEALTH CARE SYS · PI ROSEN, ALLYSON C · 2014 to 2019
–
Targeting Functional Improvement in rTMS TherapyI01RX003152 · VA · VETERANS ADMIN PALO ALTO HEALTH CARE SYS · PI ROSEN, ALLYSON C · 2019 to 2024
–
CSRD VA I01 CX000604NIA NIH HHS P30 AG066515NICHD NIH HHS P2C HD086844NIDA NIH HHS P50 DA046373NIGMS NIH HHS P20 GM109040RRD VA I01 RX003152
6 · The paper itself

Abstract

backgroundThe efficacy of repetitive transcranial magnetic stimulation (rTMS) for depression may vary depending on the subregion stimulated within the dorsolateral prefrontal cortex (DLPFC). Clinical TMS typically uses scalp-based landmarks for DLPFC targeting, rather than individualized MRI guidance.

objectiveIn rTMS patients, determine the brain systems targeted by multiple DLPFC stimulation rules by computing several surrogate measures: underlying brain targets labeled with connectivity-based atlases, subgenual cingulate anticorrelation strength, and functionally connected networks.

methodsForty-nine patients in a randomized controlled trial of rTMS therapy for treatment resistant major depression underwent structural and functional MRI. DLPFC rules were applied virtually using MR-image guidance. Underlying cortical regions were labeled, and connectivity with the subgenual cingulate and whole-brain computed.

resultsScalp-targeting rules applied post hoc to these MRIs that adjusted for head size, including Beam F3, were comparably precise, successful in directly targeting classical DLPFC and frontal networks, and anticorrelated with the subgenual cingulate. In contrast, all rules involving fixed distances introduced variability in regions and networks targeted. The 5 cm rule targeted a transitional DLPFC region with a different connectivity profile from the adjusted rules. Seed-based connectivity analyses identified multiple regions, such as posterior cingulate and inferior parietal lobe, that warrant further study in order to understand their potential contribution to clinical response.

conclusionEEG-based rules consistently targeted DLPFC brain regions with resting-state fMRI features known to be associated with depression response. These results provide a bridge from lab to clinic by enabling clinicians to relate scalp-targeting rules to functionally connected brain systems.

Indexed as

Depressive Disorder, Treatment-ResistantTranscranial Magnetic StimulationDepressionHumansMagnetic Resonance ImagingPrefrontal CortexDepressionFunctional connectivityHCP atlasTMS targetingYeo atlas

Identifiers

PMID34767967
PMCPMC8900427
OpenAlexW3214422051

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.