Evidence map›Paper›PMID 41927836›Full record

ReviewNpj mental health research2026

A systematic review on mindfulness-based immersive interventions in depressive disorders.

Peng Tan, Yuqi Wu, Xinrong Chen, Junfang Chen, Zhixing Guo, Xiaobing Lu, Jie Chen, Hongtao Zhang

Abstract readReview
In one paragraph

Review in Npj mental health research, 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. 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

8 authors.

Peng TanGreater Bay Area Institute of Precision Medicine, College of Biomedical Engineering, Fudan University, Shanghai, China.
Yuqi WuCollege of Biomedical Engineering, Fudan University, Shanghai, China.
Xinrong ChenCollege of Biomedical Engineering, Fudan University, Shanghai, China.
Junfang ChenGreater Bay Area Institute of Precision Medicine, Center for Evolutionary Biology, School of Life Sciences, Fudan University, Shanghai, China.
Zhixing GuoShenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
Xiaobing LuKey Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education of China, The Affiliated Brain Hospital, Guangzhou, Medical University, Guangzhou, China.
Jie ChenCollege of Biomedical Engineering, Fudan University, Shanghai, China. chen_j@fudan.edu.cn.
Hongtao ZhangGreater Bay Area Institute of Precision Medicine, School of Information Science and Technology, Fudan University, Shanghai, China. zhanghongtao@ipm-gba.org.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Depressive disorders are characterized by persistent negative affect, rumination, and impaired emotion regulation, contributing substantially to global disease burden. As recurrent rumination and negative attentional biases are central cognitive mechanisms of depression, interventions targeting these processes have gained increasing attention. Mindfulness-based interventions (MBIs) effectively treat depressive disorders but face adherence challenges, which immersive technology may resolve through multi-sensory stimulation and real-time feedback. This systematic review assesses the therapeutic potential of mindfulness-based immersive interventions (MBIIs, which combine immersive technologies with MBIs) for depressive disorders. Following PRISMA guidelines, we identified 37 eligible studies from 670 screened records. Across the included studies, a proportion of studies (69%) reported greater improvements in depressive and anxiety-related symptoms in MBII conditions compared with conventional therapies, while 78% of the trials reported improvements in psychological processes. A subset of trials reported greater feasibility and acceptance for immersive implementations compared with non-immersive approaches (67%), and 89% reported improvements in physiological outcomes. However, significant gaps remain, including substantial variability in sessions and VR configurations, insufficient active controls, and limited long-term validation. Future research is recommended to prioritize mechanistic studies to clarify neurocognitive pathways, standardize sessions, and evaluate cost-effectiveness.

Identifiers

PMID41927836
PMCPMC13046831

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.