Evidence map›Paper›PMID 41332701›Full record

ArticlebioRxiv : the preprint server for biology2025

Unveiling the Multifaceted Networks of the Left DLPFC for Precision TMS Targeting.

Lya K Paas Oliveros, Timm B Poeppl, Niels Reuter, Kaustubh R Patil, Sarah Kreuzer, Nga Yan Tse, Robin F H Cash, Felix Hoffstaedter, Simon B Eickhoff, Veronika I Müller

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Lya K Paas OliverosInstitute of Systems Neuroscience, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.ORCID 0000-0001-7924-3440
Timm B PoepplDepartment of Psychiatry and Psychotherapy, University of Regensburg, Regensburg, Germany.ORCID 0000-0002-5992-5695
Niels ReuterInstitute of Neuroscience and Medicine (INM-7: Brain and Behavior), Research Center Jülich, Jülich, Germany.ORCID 0000-0001-6895-3527
Kaustubh R PatilInstitute of Systems Neuroscience, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.ORCID 0000-0002-0289-5480
Sarah KreuzerDepartment of Psychiatry and Psychotherapy, University of Regensburg, Regensburg, Germany.ORCID 0009-0001-1513-7099
Nga Yan TseSystems Lab, Department of Psychiatry, Melbourne Medical School, The University of Melbourne, Melbourne, Victoria, Australia.ORCID 0000-0002-1471-4835
Robin F H CashSystems Lab, Department of Psychiatry, Melbourne Medical School, The University of Melbourne, Melbourne, Victoria, Australia.ORCID 0000-0003-2612-9470
Felix HoffstaedterInstitute of Systems Neuroscience, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.ORCID 0000-0001-7163-3110
Simon B EickhoffInstitute of Systems Neuroscience, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.ORCID 0000-0001-6363-2759
Veronika I MüllerInstitute of Systems Neuroscience, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.ORCID 0000-0003-4382-3181

Funding

Mapping the Human Connectome: Structure, Function, and HeritabilityU54MH091657 · NIMH · WASHINGTON UNIVERSITY · PI UGURBIL, KAMIL, VAN ESSEN, DAVID C · 2010 to 2014
$34.7M
NIMH NIH HHS U54 MH091657
6 · The paper itself

Abstract

The left dorsolateral prefrontal cortex (lDLPFC) is the standard target for transcranial magnetic stimulation (TMS) to ameliorate treatment-resistant depression (TRD), yet non-response rates remain high. TMS efficacy has been linked to the stimulation site's functional connectivity, particularly its anti-correlation with the subgenual cingulate cortex (SGC). While this pragmatic strategy has demonstrated clinical utility, it offers limited insight into how the lDLPFC's network interactions contribute to site-dependent variability in treatment response. Here, we used connectivity-based parcellation within an lDLPFC region encompassing common TMS targets and adjacent areas to delineate functional subdivisions and characterize their connectivity to large-scale networks and behavioral associations. Our results revealed a hierarchical organization: a coarse two-pole antagonism between anterior-central and superior-posterior subregions and a finer nine-cluster architecture exposing lDLPFC's heterogeneity along anterior-posterior and ventral-dorsal axes. Anterior-central areas were strongly anti-correlated with SGC and default-mode network, positively connected with salience, dorsal attention, and control networks, and associated with cognitive control. In contrast, superior-posterior subregions displayed the inverse pattern, while ventral clusters engaged somatomotor and visual networks, and language-related processes. Central and superior-anterior clusters showed differentiated profiles, including associations with inhibition, social cognition, and perceptual functions. To aid clinical translation, we derived an lDLPFC likelihood map integrating granularities, highlighting anterior-central lDLPFC as the strongest TMS candidate considering the relevance of its connectivity and behavioral profiles to depression, while indicating that neighboring subregions have distinct functions. These findings underscore the lDLPFC's hierarchical and heterogeneous organization and provide a network-informed reference for developing individualized, symptom-specific TMS interventions.

Indexed as

connectivity-based parcellationdepressionPrefrontal cortexresting-stateTMS

Identifiers

PMID41332701
PMCPMC12667863

What OpenQuestion holds

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Registered trials

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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.