Evidence map›Paper›PMID 40956857›Full record

ArticlePLoS computational biology2025

Effects of tDCS of the DLPFC on brain networks: A hybrid brain modeling study.

Yanqing Dong, Jing Wei, Songjun Peng, Xinran Wu, Yaru Xu, Jianfeng Feng, Jie Zhang, Viktor Jirsa, Jie Xiang

Abstract read
In one paragraph

Article in PLoS computational biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
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

9 authors.

Yanqing DongCollege of Computer Science and Technology (College of Data Science), Taiyuan University of Technology, Taiyuan, Shanxi, People's Republic of China.ORCID 0009-0008-5886-9952
Jing WeiSchool of Information, Shanxi University of Finance and Economics, Taiyuan, Shanxi, People's Republic of China.
Songjun PengInstitute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, People's Republic of China.
Xinran WuInstitute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, People's Republic of China.
Yaru XuCollege of Computer Science and Technology (College of Data Science), Taiyuan University of Technology, Taiyuan, Shanxi, People's Republic of China.
Jianfeng FengInstitute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, People's Republic of China.
Jie ZhangInstitute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, People's Republic of China.ORCID 0000-0002-5016-9192
Viktor JirsaInstitut de Neurosciences des Systèmes (INS), INSERM, Aix-Marseille Université, Marseille, France.ORCID 0000-0002-8251-8860
Jie XiangCollege of Computer Science and Technology (College of Data Science), Taiyuan University of Technology, Taiyuan, Shanxi, People's Republic of China.

Funding

Central Guided Local Science and Technology Development ProjectNational Natural Science Foundation of ChinaScience and Technology Innovation 2030 – Brain Science and Brain-Inspired Intelligence ProjectShanxi Provincial Department of Science and Technology Basic Research Project for Young ScholarsShanxi Provincial Special Guidance Program for the Transformation of Scientific and Technological Achievements
6 · The paper itself

Abstract

Transcranial direct current stimulation (tDCS) has shown promise in treating neurological disorders, particularly through dorsolateral prefrontal cortex (DLPFC) targeting. However, the effects of DLPFC-tDCS on brain functional networks and the underlying propagation mechanisms remain poorly understood. We present a novel tDCS hybrid brain model (tDCS-HBM) that incorporates tDCS-induced gray matter electric fields into a large-scale brain network model, considering their relationship with membrane potential to effectively predict spatiotemporal dynamics. Using this model, we simulated brain activity in response to tDCS over the left (F3-Fp2) and right DLPFC (F4-Fp1). Our results demonstrate that tDCS enhances brain complexity and flexibility, leading to increased functional connectivity (FC) across the whole brain and an improvement in global network efficiency. Dynamic analysis reveals an initial FC decline, followed by widespread enhancement originating from inferior and orbital frontal regions. Importantly, right DLPFC-tDCS induces strong FC associated with the ventral attention network. These changes in topological metrics and spatiotemporal patterns are consistent with prior modeling and empirical findings, validating the utility of our tDCS-HBM in understanding propagation mechanisms. Our hybrid model holds the potential to predict the stimulation effects of modulation protocols, providing precise guidance for clinical neuromodulation interventions.

Indexed as

Dorsolateral Prefrontal CortexModels, NeurologicalNerve NetTranscranial Direct Current StimulationHumans

Identifiers

PMID40956857
PMCPMC12456829

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.