Evidence map›Paper›PMID 27534862›Full record

ArticleExperimental brain research2016

Self-regulating positive emotion networks by feedback of multiple emotional brain states using real-time fMRI.

Zhonglin Li, Li Tong, Linyuan Wang, Yongli Li, Wenjie He, Min Guan, Bin Yan

Abstract read
PubMed Publisher
In one paragraph

Article in Experimental brain research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 15% of its field
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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.

  1. Pooled it
  2. Semantic fMRI neurofeedback of emotions: from basic principles to clinical applications.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024
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  7. Review
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  11. [Research development of real-time functional magnetic resonance imaging neuro-feedback technology based on brain network connectivity].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2017
    Review
  12. 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

7 authors at 1 institution in 1 country.

Zhonglin LiChina National Digital Switching System Engineering and Technological Research Center, Zhengzhou, Henan, China.
Li TongChina National Digital Switching System Engineering and Technological Research Center, Zhengzhou, Henan, China.
Linyuan WangChina National Digital Switching System Engineering and Technological Research Center, Zhengzhou, Henan, China.
Yongli LiDepartment of Radiology, People's Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Wenjie HeChina National Digital Switching System Engineering and Technological Research Center, Zhengzhou, Henan, China.
Min GuanDepartment of Radiology, People's Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Bin YanChina National Digital Switching System Engineering and Technological Research Center, Zhengzhou, Henan, China. tom.yan@gmail.com.
Zhengzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Disordered emotion regulation may affect work efficiency, induce social disharmony, and even cause psychiatric diseases. Despite recent neurocomputing advances, whether positive and negative emotion networks can be voluntarily modulated is still unknown. In the present study, we addressed this question through multivariate voxel pattern analysis and real-time functional MRI neurofeedback (rtfMRI-nf). During a sustained emotion regulation task, participants' emotional states (positive or negative) were given to them as feedback. Participants were able to increase the percentage of positive emotional states, enhancing emotion regulation network activities. Participants showed an improvement on the positive subscale of positive and negative affect scale that came close to significance. Furthermore, the activation of several emotion-related brain regions, including insula, amygdala, anterior cingulate cortex, and dorsomedial prefrontal cortex, was also increased during rtfMRI-nf training. These findings suggest that humans are able to voluntarily modulate positive emotion networks, leading to exciting applications in the treatment of various neurological and psychiatric disorders.

Indexed as

Magnetic Resonance ImagingSelf-ControlAdultBrainEmotionsFemaleHumansImage Processing, Computer-AssistedMaleMemory, EpisodicMultivariate AnalysisNeural PathwaysNeurofeedbackOxygenTime FactorsYoung AdultOxygenEmotion regulationfMRIMultivariate voxel pattern analysisNeurofeedbackReal-time

Identifiers

PMID27534862
OpenAlexW2517888883

What OpenQuestion holds

Textmetadata
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.