Evidence map›Paper›PMID 31930153›Full record

ArticleNeurophotonics2019

Functional near-infrared spectroscopy-informed neurofeedback: regional-specific modulation of lateral orbitofrontal activation and cognitive flexibility.

Keshuang Li, Yihan Jiang, Yilong Gong, Weihua Zhao, Zhiying Zhao, Xiaolong Liu, Keith M Kendrick, Chaozhe Zhu, Benjamin Becker

2 registry-linked trialsOpen access · goldAbstract read
In one paragraph

Article in Neurophotonics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 19 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 2 pooled it
3.1field-weighted citation impact, top 9% 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.

NCT05936697 naunknown statusnot on this mapstarted 2023, after this paper: background citation

Neurofeedback Training to Improve Prefrontal Functioning in Older Adults With Subclinical Depression and Anxiety: a Randomised Control Trial

TypeinterventionalSponsorThe Hong Kong Polytechnic UniversityRan2023 to 2024Enrolled90ConditionsDepression, AnxietyArmsfNIRS, EEG, Baseline Training
NCT07149974 naenrolling by invitationnot on this mapstarted 2025, after this paper: background citation

Developing an EEG-fNIRS Neurofeedback Application for Brain Training for Autistic Children

TypeinterventionalSponsorEducation University of Hong KongRan2025 to 2026Enrolled30ConditionsAutism, Autistic Disorders Spectrum, Neurofeedback, EEGArmsEEG and fNIRS, EEG, fNIRS
3 · Its place in the literature

Who cites it

19 citing papers in PubMed, 2 syntheses or guidelines pooled it, 40 citations in OpenAlex.

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  7. A Deep-Learning Empowered, Real-Time Processing Platform of fNIRS/DOT for Brain Computer Interfaces and Neurofeedback.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2025
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  13. [Neurofeedback technology based on functional near infrared spectroscopy imaging and its applications].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2022
    Article
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  19. Prefrontal Asymmetry BCI Neurofeedback Datasets.Frontiers in neuroscience · 2020
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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 at 2 institutions in 1 country.

Keshuang LiUniversity of Electronic Science and Technology of China, The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, Chengdu, China.
Yihan JiangBeijing Normal University, State Key Laboratory of Cognitive Neuroscience and Learning, Beijing, China.
Yilong GongBeijing Normal University, State Key Laboratory of Cognitive Neuroscience and Learning, Beijing, China.
Weihua ZhaoUniversity of Electronic Science and Technology of China, The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, Chengdu, China.ORCID https://orcid.org/0000-0003-1780-4606
Zhiying ZhaoUniversity of Electronic Science and Technology of China, The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, Chengdu, China.ORCID https://orcid.org/0000-0002-0369-1308
Xiaolong LiuUniversity of Electronic Science and Technology of China, The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, Chengdu, China.ORCID https://orcid.org/0000-0002-3814-5606
Keith M KendrickUniversity of Electronic Science and Technology of China, The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, Chengdu, China.ORCID https://orcid.org/0000-0002-0371-5904
Chaozhe ZhuBeijing Normal University, State Key Laboratory of Cognitive Neuroscience and Learning, Beijing, China.
Benjamin BeckerUniversity of Electronic Science and Technology of China, The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, Chengdu, China.ORCID https://orcid.org/0000-0002-9014-9671
University of Electronic Science and Technology of China · CNBeijing Normal University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cognitive flexibility and reward processing critically rely on the orbitofrontal cortex (OFC). Dysregulations in these domains and orbitofrontal activation have been reported in major psychiatric disorders. Hemodynamic brain imaging-informed neurofeedback allows regional-specific control over brain activation and thus may represent an innovative intervention to regulate orbitofrontal dysfunctions. Against this background the present proof-of-concept study evaluates the feasibility and behavioral relevance of functional near-infrared spectroscopy (fNIRS)-assisted neurofeedback training of the lateral orbitofrontal cortex (lOFC). In a randomized sham-controlled between-subject design, 60 healthy participants have undergone four subsequent runs of training to enhance the lOFC activation. Training-induced changes in the lOFC, attentional set-shifting performance, and reward experience have served as primary outcomes. Feedback from the target channel significantly increases the regional-specific lOFC activation over the four training runs in comparison with sham neurofeedback. The real-time OFC neurofeedback group demonstrates a trend for faster responses during the set-shifting relative to the sham neurofeedback group. Within the real-time OFC neurofeedback group, stronger training-induced lOFC increases are associated with higher reward experience. The present results demonstrate that fNIRS-informed neurofeedback allows regional-specific regulation of lOFC activation and may have the potential to modulate the associated behavioral domains. As such fNIRS-informed neurofeedback may represent a promising strategy to regulate OFC dysfunctions in psychiatric disorders.

Indexed as

cognitive flexibilityfunctional near-infrared spectroscopyneurofeedbackneuromodulationorbitofrontal cortexreward

Identifiers

PMID31930153
PMCPMC6951484
OpenAlexW2950915973

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.