Evidence map›Paper›PMID 34870361›Full record

ArticleHuman brain mapping2022

Test-retest reliability of dynamic functional connectivity in naturalistic paradigm functional magnetic resonance imaging.

Xin Zhang, Jiayue Liu, Yang Yang, Shijie Zhao, Lei Guo, Junwei Han, Xintao Hu

Open access · goldAbstract read
In one paragraph

Article in Human brain mapping, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

21 citing papers in PubMed, 38 citations in OpenAlex.

  1. Article
  2. Ecologically-Valid Emotion Signatures Enhance Mood Disorder Diagnostics.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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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

7 authors at 1 institution in 1 country.

Xin ZhangInstitute of Medical Research, Northwestern Polytechnical University, Xi'an, Shaanxi, China.ORCID 0000-0002-5927-9283
Jiayue LiuSchool of Automation, Northwestern Polytechnical University, Xi'an, Shaanxi, China.
Yang YangSchool of Life Sciences, Northwestern Polytechnical University, Xi'an, Shaanxi, China.
Shijie ZhaoSchool of Automation, Northwestern Polytechnical University, Xi'an, Shaanxi, China.
Lei GuoSchool of Automation, Northwestern Polytechnical University, Xi'an, Shaanxi, China.
Junwei HanSchool of Automation, Northwestern Polytechnical University, Xi'an, Shaanxi, China.ORCID 0000-0001-5545-7217
Xintao HuSchool of Automation, Northwestern Polytechnical University, Xi'an, Shaanxi, China.
Northwestern Polytechnical University · CN

Funding

Fundamental Research Funds for the Central Universities 31020190QD002Fundamental Research Funds for the Central Universities 3102019YX01005National Key R&D Program of China 2020AAA0105701National Natural Science Foundation of China 61603399National Natural Science Foundation of China 61806167National Natural Science Foundation of China 61836006National Natural Science Foundation of China 61936007National Natural Science Foundation of China 62076205National Natural Science Foundation of China U1801265National Natural Science Foundation of Shaanxi Province 2021JQ-119
6 · The paper itself

Abstract

Dynamic functional connectivity (dFC) has been increasingly used to characterize the brain transient temporal functional patterns and their alterations in diseased brains. Meanwhile, naturalistic neuroimaging paradigms have been an emerging approach for cognitive neuroscience with high ecological validity. However, the test-retest reliability of dFC in naturalistic paradigm neuroimaging is largely unknown. To address this issue, we examined the test-retest reliability of dFC in functional magnetic resonance imaging (fMRI) under natural viewing condition. The intraclass correlation coefficients (ICC) of four dFC statistics including standard deviation (Std), coefficient of variation (COV), amplitude of low frequency fluctuation (ALFF), and excursion (Excursion) were used to measure the test-retest reliability. The test-retest reliability of dFC in naturalistic viewing condition was then compared with that under resting state. Our experimental results showed that: (a) Global test-retest reliability of dFC was much lower than that of static functional connectivity (sFC) in both resting-state and naturalistic viewing conditions; (b) Both global and local (including visual, limbic and default mode networks) test-retest reliability of dFC could be significantly improved in naturalistic viewing condition compared to that in resting state; (c) There existed strong negative correlation between sFC and dFC, weak negative correlation between dFC and dFC-ICC (i.e., ICC of dFC), as well as weak positive correlation between dFC-ICC and sFC-ICC (i.e., ICC of sFC). The present study provides novel evidence for the promotion of naturalistic paradigm fMRI in functional brain network studies.

Indexed as

AdultAlgorithmsBrain MappingConnectomeDefault Mode NetworkFemaleHealthy VolunteersHumansImage Processing, Computer-AssistedLimbic SystemMagnetic Resonance ImagingMaleNeural PathwaysNeuroimagingReproducibility of ResultsVisual Pathwaysdynamic functional connectivity (dFC)functional magnetic resonance imaging (fMRI)natural viewingresting statetest-retest reliability

Identifiers

PMID34870361
PMCPMC8837589
OpenAlexW4200339078

What OpenQuestion 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 OpenQuestion graph.