Evidence map›Paper›PMID 35845454›Full record

ArticleFrontiers in psychiatry2022

Improved Regional Homogeneity in Chronic Insomnia Disorder After Amygdala-Based Real-Time fMRI Neurofeedback Training.

Zhonglin Li, Jiao Liu, Bairu Chen, Xiaoling Wu, Zhi Zou, Hui Gao, Caiyun Wang, Jing Zhou, Fei Qi, Miao Zhang and 8 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in psychiatry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.8field-weighted citation impact, top 27% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Immediate and sustained effects of acupuncture on the default mode network.Revista brasileira de psiquiatria (Sao Paulo, Brazil : 1999) · 2025
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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

18 authors at 5 institutions in 1 country.

Zhonglin LiDepartment of Radiology, Henan Provincial People's Hospital and People's Hospital of Zhengzhou University, Zhengzhou, China.
Jiao LiuDepartment of Nuclear Medicine, First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Bairu ChenDepartment of Medical Imaging, Fifth Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Xiaoling WuDepartment of Nuclear Medicine, Henan Provincial People's Hospital and People's Hospital of Zhengzhou University, Zhengzhou, China.
Zhi ZouDepartment of Radiology, Henan Provincial People's Hospital and People's Hospital of Zhengzhou University, Zhengzhou, China.
Hui GaoHenan Key Laboratory of Imaging and Intelligent Processing, PLA Strategic Support Force Information Engineering University, Zhengzhou, China.
Caiyun WangDepartment of Radiology, Henan Provincial People's Hospital and People's Hospital of Zhengzhou University, Zhengzhou, China.
Jing ZhouHealth Management Center, Henan Provincial People's Hospital and People's Hospital of Zhengzhou University, Zhengzhou, China.
Fei QiDepartment of Radiology, Henan Provincial People's Hospital and People's Hospital of Zhengzhou University, Zhengzhou, China.
Miao ZhangDepartment of Radiology, Henan Provincial People's Hospital and People's Hospital of Zhengzhou University, Zhengzhou, China.
Junya HeDepartment of Radiology, Henan Provincial People's Hospital and People's Hospital of Zhengzhou University, Zhengzhou, China.
Xin QiDepartment of Radiology, Henan Provincial People's Hospital and People's Hospital of Zhengzhou University, Zhengzhou, China.
Fengshan YanDepartment of Radiology, Henan Provincial People's Hospital and People's Hospital of Zhengzhou University, Zhengzhou, China.
Shewei DouDepartment of Radiology, Henan Provincial People's Hospital and People's Hospital of Zhengzhou University, Zhengzhou, China.
Li TongHenan Key Laboratory of Imaging and Intelligent Processing, PLA Strategic Support Force Information Engineering University, Zhengzhou, China.
Hongju ZhangDepartment of Neurology, Henan Provincial People's Hospital and People's Hospital of Zhengzhou University, Zhengzhou, China.
Xingmin HanDepartment of Nuclear Medicine, First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Yongli LiHealth Management Center, Henan Provincial People's Hospital and People's Hospital of Zhengzhou University, Zhengzhou, China.
Zhengzhou University · CNHenan Provincial People's Hospital · CNFirst Affiliated Hospital of Zhengzhou University · CNPLA Information Engineering University · CNFifth Affiliated Hospital of Zhengzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Chronic insomnia disorder (CID) is a highly prevalent sleep disorder, which influences people's daily life and is even life threatening. However, whether the resting-state regional homogeneity (ReHo) of disrupted brain regions in CID can be reshaped to normal after treatment remains unclear. Methods: A novel intervention real-time functional magnetic resonance imaging neurofeedback (rtfMRI-NF) was used to train 28 CID patients to regulate the activity of the left amygdala for three sessions in 6 weeks. The ReHo methodology was adopted to explore its role on resting-state fMRI data, which were collected before and after training. Moreover, the relationships between changes of clinical variables and ReHo value of altered regions were determined. Results: Results showed that the bilateral dorsal medial pre-frontal cortex, supplementary motor area (SMA), and left dorsal lateral pre-frontal cortex had decreased ReHo values, whereas the bilateral cerebellum anterior lobe (CAL) had increased ReHo values after training. Some clinical scores markedly decreased, including Pittsburgh Sleep Quality Index, Insomnia Severity Index, Beck Depression Inventory, and Hamilton Anxiety Scale (HAMA). Additionally, the ReHo values of the left CAL were positively correlated with the change in the Hamilton depression scale score, and a remarkable positive correlation was found between the ReHo values of the right SMA and the HAMA score. Conclusion: Our study provided an objective evidence that amygdala-based rtfMRI-NF training could reshape abnormal ReHo and improve sleep in patients with CID. The improved ReHo in CID provides insights into the neurobiological mechanism for the effectiveness of this intervention. However, larger double-blinded sham-controlled trials are needed to confirm our results from this initial study.

Indexed as

amygdalachronic insomnia disorderfMRIneurofeedbackreal-timeregional homogeneity

Identifiers

PMID35845454
PMCPMC9279663
OpenAlexW4283730149

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.