Diurnal Variations and Test-Retest Reliability of Resting-State Functional MRI Metrics.
Overview
- Department of Psychology, School of Humanities and Social Sciences University of Science and Technology of China Hefei China
- Center for Magnetic Resonance Imaging Research & Key Laboratory of Brain‐Machine Intelligence for Information Behavior (Ministry of Education and Shanghai), School of Business and Management Shanghai International Studies University Shanghai China
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research Beijing Normal University Beijing China
- Department of Psychology Zhejiang Sci‐Tech University Hangzhou China
- Business School, NingboTech University Ningbo China
- Center for Functional Neuroimaging, Department of Neurology University of Pennsylvania Philadelphia Pennsylvania USA
- Unit for Experimental Psychiatry, Division of Sleep and Chronobiology, Department of Psychiatry University of Pennsylvania Philadelphia Pennsylvania USA
Abstract
Resting‐state fMRI (rs‐fMRI) is widely used to assess intrinsic brain activity, yet concerns about its test–retest reliability and reproducibility persist. Circadian rhythms strongly influence brain physiology, but their impact on rs‐fMRI reliability remains poorly understood. In this study, we scanned 39 healthy young adults six times within a single day (08:00–20:00) under standardized conditions. For each session, we computed four common rs‐fMRI metrics, including amplitude of low‐frequency fluctuations (ALFF), wavelet‐transformed ALFF (wALFF), fractional ALFF (fALFF), and regional homogeneity (ReHo), and assessed reliability using intraclass correlation coefficients (ICCs). ReHo showed relatively higher and more stable reliability across sessions, whereas amplitude‐based metrics, particularly fALFF, exhibited greater diurnal variation. Both network‐level and region‐specific analyses revealed low reliability in the limbic and subcortical structures, with a mid‐morning dip at 10:00. Moreover, ICCs for ALFF, wALFF, and fALFF declined with increasing inter‐scan intervals, whereas ReHo remained robust. These findings demonstrate diurnal fluctuations in rs‐fMRI reliability, with different metrics exhibiting distinct temporal stability profiles. We recommend that scan timing and circadian influences should be explicitly considered in the design, analysis, and interpretation of future rs‐fMRI studies.
Reproduced under the paper's license (CC BY), from the paper cited above.
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Data Availability Statement
The data and code used in the present study are available from the corresponding author upon request.
Reproduced under the paper's license (CC BY), from the paper cited above.
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Version 1, 27 September 2026: the first record
Recorded: type, language, journal, volume, issue, pages, dates, 13 authors, 5 keywords, 12 MeSH terms, 6 funders, 105 references.
Cite
This paper
Guo, B., Yan, K., Liu, Z., Deng, Y., Fu, S., Zhao, W., Xu, J., Jiang, C., Tao, R., Chen, X., Wang, M., Mao, T., & Rao, H. (2026). Diurnal Variations and Test-Retest Reliability of Resting-State Functional MRI Metrics. Human brain mapping, 47(10), e70590. https://
BibTeX
@article{guo2026diurnal,
author = {Guo, Bowen and Yan, Kaikai and Liu, Zhihui and Deng, Yao and Fu, Shanna and Zhao, Weiwei and Xu, Jing and Jiang, Caihong and Tao, Ruiwen and Chen, Xing and Wang, Mengmeng and Mao, Tianxin and Rao, Hengyi},
title = {{Diurnal Variations and Test-Retest Reliability of Resting-State Functional MRI Metrics}},
journal = {Human brain mapping},
year = {2026},
month = jul,
volume = {47},
number = {10},
pages = {e70590},
publisher = {Wiley},
issn = {1065-9471},
doi = {10.1002/
url = {https://
pmid = {42415272},
pmcid = {PMC13341652}
}
RIS
TY - JOUR
AU - Guo, Bowen
AU - Yan, Kaikai
AU - Liu, Zhihui
AU - Deng, Yao
AU - Fu, Shanna
AU - Zhao, Weiwei
AU - Xu, Jing
AU - Jiang, Caihong
AU - Tao, Ruiwen
AU - Chen, Xing
AU - Wang, Mengmeng
AU - Mao, Tianxin
AU - Rao, Hengyi
TI - Diurnal Variations and Test-Retest Reliability of Resting-State Functional MRI Metrics
T2 - Human brain mapping
J2 - Hum Brain Mapp
PY - 2026
DA - 2026/
VL - 47
IS - 10
SP - e70590
SN - 1065-9471
PB - Wiley
DO - 10.1002/
UR - https://
LA - en
ER -
CSL-JSON
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