Evidence map›Paper›PMID 40715052›Full record

ArticleTranslational psychiatry2025

Exploring the capabilities of repetitive transcranial magnetic stimulation in major depressive disorder: Dynamic causal modeling of the neural network.

Akira Kita, Takuya Ishida, Natsuko Kita, Michiyo Tabata, Atsushi Tamaki, Shinya Uenishi, Kasumi Yasuda, Shun Takahashi, Hiroki Matsuura, Shinichi Yamada and 1 more

Abstract read
In one paragraph

Article in Translational psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
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

11 authors.

Akira Kita *Department of Neuropsychiatry, Wakayama Medical University, Wakayama City, Wakayama Prefecture, Japan.ORCID http://orcid.org/0000-0003-1819-5291
Takuya Ishida *Department of Neuropsychiatry, Wakayama Medical University, Wakayama City, Wakayama Prefecture, Japan. ishidafine@gmail.com.ORCID http://orcid.org/0000-0002-7152-910X
Natsuko KitaDepartment of Neuropsychiatry, Wakayama Medical University, Wakayama City, Wakayama Prefecture, Japan.ORCID http://orcid.org/0000-0001-8626-2981
Michiyo TabataDepartment of Neuropsychiatry, Wakayama Medical University, Wakayama City, Wakayama Prefecture, Japan.
Atsushi TamakiDepartment of Neuropsychiatry, Wakayama Medical University, Wakayama City, Wakayama Prefecture, Japan.
Shinya UenishiDepartment of Neuropsychiatry, Wakayama Medical University, Wakayama City, Wakayama Prefecture, Japan.
Kasumi YasudaDepartment of Neuropsychiatry, Wakayama Medical University, Wakayama City, Wakayama Prefecture, Japan.ORCID http://orcid.org/0000-0002-8006-4279
Shun TakahashiDepartment of Neuropsychiatry, Wakayama Medical University, Wakayama City, Wakayama Prefecture, Japan.ORCID http://orcid.org/0000-0002-9049-4694
Hiroki MatsuuraDepartment of Neuropsychiatry, Wakayama Medical University, Wakayama City, Wakayama Prefecture, Japan.
Shinichi YamadaDepartment of Neuropsychiatry, Wakayama Medical University, Wakayama City, Wakayama Prefecture, Japan.
Sohei KimotoDepartment of Neuropsychiatry, Wakayama Medical University, Wakayama City, Wakayama Prefecture, Japan.ORCID http://orcid.org/0000-0002-3148-690X

Funding

MEXT | Japan Society for the Promotion of Science (JSPS) 24K18744MEXT | Japan Society for the Promotion of Science (JSPS) JP18K07570MEXT | Japan Society for the Promotion of Science (JSPS) JP20K16675MEXT | Japan Society for the Promotion of Science (JSPS) JP21K07484MEXT | Japan Society for the Promotion of Science (JSPS) JP23K06992
6 · The paper itself

Abstract

Repetitive transcranial magnetic stimulation (rTMS) of the left dorsal prefrontal cortex (DLPFC) has been utilized to manage treatment-resistant major depressive disorder (MDD). Understanding the biological basis of rTMS treatment in MDD is crucial for enhancing its clinical efficacy. Numerous brain regions functionally connected to the left DLPFC have been identified as a critical role in the pathophysiology of MDD, highlighting the significance of alterations in these neural circuits. We employed a dynamic causal modeling to estimate the causal relationships among depression-related regions functionally linked to the left DLPFC using a large-sample, multi-site resting-state functional magnetic resonance imaging dataset, comprising 270 healthy controls and 175 patients with MDD. We revealed aberrant causal connections from the left DLPFC, amygdala (AMY), nucleus accumbens (NAC), and thalamus (Thal) to the visual cortex (VIS) in MDD. We also found negative associations between depression severities and NAC-to-VIS connections, indicating that VIS plays an essential role in MDD. Furthermore, we identified aberrant causal connections between the ventromedial prefrontal cortex (VMPFC) and subcortical regions including, AMY, NAC, and subgenual anterior cingulate cortex (sgACC), and positive correlation between the depression severities and AMY-to-sgACC connection, suggesting the disruption in corticostriatal circuit is related to the aberrant emotional regulation in MDD. These aberrant connections may support the neural mechanisms of MDD and indicate rTMS may modulate these areas, potentially improving the disrupted function in MDD. Our study provides deeper insights into the pathophysiological mechanisms of MDD and the potential mechanisms of rTMS treatment.

Indexed as

BrainDorsolateral Prefrontal CortexMajor Depressive DisorderNerve NetTranscranial Magnetic StimulationAdultAmygdalaCase-Control StudiesFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedNeural PathwaysNucleus AccumbensPrefrontal Cortex

Identifiers

PMID40715052
PMCPMC12297503

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.