Evidence map›Paper›PMID 41664110›Full record

ArticleBMC medicine2026

Digital twin brain reveals state-specific stimulation targets for abnormal brain dynamics in tinnitus.

Jiaqi Zhang, Shuting Han, Yongcong Shen, Xiaojuan Wu, Yunshu Zhao, Zijia Wu, Na Luo, Zhengyi Yang, Deying Li, Ming Song and 5 more

Abstract read
In one paragraph

Article in BMC medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

15 authors.

Jiaqi Zhang *Beijing Key Laboratory of Brainnetome and Brain-Computer Interface, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China.
Shuting Han *Department of Radiology, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, 215000, China.
Yongcong ShenDepartment of Ear, Nose, and Throat, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, 215000, China.
Xiaojuan WuDepartment of Radiology, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, 215000, China.
Yunshu ZhaoDepartment of Radiology, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, 215000, China.
Zijia WuBeijing Key Laboratory of Brainnetome and Brain-Computer Interface, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China.
Na LuoBeijing Key Laboratory of Brainnetome and Brain-Computer Interface, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China.
Zhengyi YangBeijing Key Laboratory of Brainnetome and Brain-Computer Interface, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China.
Deying LiBeijing Key Laboratory of Brainnetome and Brain-Computer Interface, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China.
Ming SongBeijing Key Laboratory of Brainnetome and Brain-Computer Interface, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China.
Peng WuPhillips Healthcare, Shanghai, 200072, China.
Duo-Duo TaoDepartment of Ear, Nose, and Throat, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, 215000, China. entdtao@163.com.
Jisheng LiuDepartment of Ear, Nose, and Throat, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, 215000, China. sdfyyljs@sina.com.
Yonggang LiDepartment of Radiology, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, 215000, China. liyonggang224@163.com.
Tianzi JiangBeijing Key Laboratory of Brainnetome and Brain-Computer Interface, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China. jiangtz@nlpr.ia.ac.cn.

Funding

Jiangsu Commission of Health K2024079Key Program of Jiangsu Commission of Health K2023027Medicine Plus X Project from Suzhou Medical School of Soochow University ML12203423National Natural Science Foundation of China 82171159National Science Foundation of China 82151307Scientific Project of Zhejiang Lab 2022ND0AN01STI2030-Major Projects 2021ZD0200201Suzhou Basic Research Pilot Project SSD2024025
6 · The paper itself

Abstract

backgroundTinnitus affects 10-15% of adults globally, yet there are still no effective treatments for this major health condition. Repetitive transcranial magnetic stimulation (rTMS), a noninvasive neuromodulation technique, allows modulation of pathologically altered functional activities to promote symptom remission. However, its efficacy critically depends on the selection of stimulation targets, and substantial interindividual variability has been observed in clinical trials. Here, we aimed to identify potential target regions that are causally involved in alleviating distinct functional abnormalities using the digital twin brain (DTB).

methodsA cohort of 89 participants was used to characterize whole-brain neural activity patterns. Multimodal neuroimaging data were used to develop the tinnitus-specific DTB and to generate causal response maps based on more than 1.64 million virtual stimulations. Whole-brain gene expression data were further integrated to examine the neurobiological plausibility of the DTB-derived causal response maps. Finally, we validated the predictive capacity of such response maps using an independent rTMS dataset.

resultsWe identified two aberrant brain states that emerged sequentially with disease progression, predominantly overlapping with the somatomotor and default mode networks, respectively. DTB-derived causal response maps revealed that the modulation of sensory and cognitive states requires stimulation of distinct, functionally specialized regions. Specifically, parieto-occipital regions play a crucial role in sensory modulation, while the dorsolateral prefrontal cortex exerts a causal influence on cognitive modulation. Moreover, these causal response maps correlate with the expression of tinnitus risk genes. By incorporating individual connectivity profiles of target regions, DTB-derived causal response maps accurately predicted rTMS effects on both sensory state (r > 0.85, P

conclusionsThis work suggests that brain functional alterations in tinnitus evolve with disease progression, and DTB has the potential to predict rTMS effects on distinct brain states, thereby informing more precise and targeted noninvasive brain stimulation interventions for tinnitus.

trial registrationTrial registered with https://www.chictr.org.cn/indexEN.html , Explore the mechanism of repetitive transcranial magnetic stimulation intervention in tinnitus based on multi-modal functional magnetic resonance imaging (ChiCTR2100047989), Submitted June 2021, First Patient Enrolled July 2021.

Indexed as

BrainTinnitusTranscranial Magnetic StimulationAdultBrain MappingFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedDigital twin brainHumanMRIrTMSTinnitus

Identifiers

PMID41664110
PMCPMC12983572

What Socratic 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 Socratic graph.