Harnessing reliability for neuroscience research
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There are problems around the reliability of resting-state functional connectivity measures for brief scans.
“we note the problems around reliability of RSFC measures for brief scans as in our study52.”
From The relationship between resting-state functional connectivity, antidepressant discontinuation and depression relapse (2020) · cites this paper as [52]
Cites
A guideline of selecting and reporting intraclass correlation coefficients for reliability research
Koo, T. K., & Li, M. Y. (2016) · Journal of Chiropractic Medicine · doi:10.1016/j.jcm.2016.02.012 · Cited by 29,639 · see citing works
Power failure: why small sample size undermines the reliability of neuroscience
Button, K. S., Ioannidis, J. P. A., Mokrysz, C., Nosek, B. A., Flint, J., Robinson, E. S. J., & Munafò, M. R. (2013) · Nature Reviews Neuroscience · doi:10.1038/nrn3475 · Cited by 7,641 · see citing works
The reliability paradox: Why robust cognitive tasks do not produce reliable individual differences
Hedge, C., Powell, G., & Sumner, P. (2018) · Behavior Research Methods · doi:10.3758/s13428-017-0935-1 · Cited by 1,457 · see citing works
The Reliability of Clinical Diagnoses: State of the Art
Kraemer, H. C. (2014) · Annual Review of Clinical Psychology · doi:10.1146/annurev-clinpsy-032813-153739 · Cited by 39 · see citing works
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Sui, J., Jiang, R., Bustillo, J., & Calhoun, V. (2020) · Biological Psychiatry · doi:10.1016/j.biopsych.2020.02.016 · Cited by 309 · see citing works
White, T., Blok, E., & Calhoun, V. D. (2022) · Human Brain Mapping · doi:10.1002/hbm.25120 · Cited by 176 · see citing works
Mapping Structural Connectivity Using Diffusion <scp>MRI</scp> : Challenges and Opportunities
Yeh, C., Jones, D. K., Liang, X., Descoteaux, M., & Connelly, A. (2021) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.27188 · Cited by 187 · see citing works
Chang, M., Womer, F. Y., Gong, X., Chen, X., Tang, L., Feng, R., Dong, S., Duan, J., Chen, Y., Zhang, R., et al. (2021) · Molecular Psychiatry · doi:10.1038/s41380-020-00892-3 · Cited by 92 · see citing works
Zhang, A., Yang, C., Li, G., Wang, Y., Liu, P., Liu, Z., Sun, N., & Zhang, K. (2020) · Journal of Affective Disorders · doi:10.1016/j.jad.2020.05.053 · Cited by 62 · see citing works
Berwian, I. M., Wenzel, J. G., Kuehn, L., Schnuerer, I., Kasper, L., Veer, I. M., Seifritz, E., Stephan, K. E., Walter, H., & Huys, Q. J. M. (2020) · Scientific Reports · doi:10.1038/s41598-020-79170-9 · Cited by 29 · see citing works
Jahanshad, N., Lenzini, P., & Bijsterbosch, J. (2025) · Neuropsychopharmacology · doi:10.1038/s41386-024-01938-8 · Cited by 12 · see citing works
- Authors
- Zuo, X.-N., Xu, T., & Milham, M. P.
- Affiliations
- South China Normal University (CN)
- Chinese Academy of Sciences (CN)
- Nathan Kline Institute for Psychiatric Research (US)
- Corresponding author
- Zuo, Xi-Nian
- Venue
- Nature Human Behaviour
- Published
- 2019-06-28
- Volume
- 3
- Issue
- 8
- Pages
- 768-771
- ISSN
- 2397-3374 (ISSN-L)
- OpenAlex
- W2953739743
- Cited by
- 310
- References
- 4
- Citations by year
- 2026: 21 · 2025: 24 · 2024: 39 · 2023: 47 · 2022: 47 · 2021: 59 · 2020: 55 · 2019: 16 · 2018: 2
- FWCI
- 30.06
- Type
- journal article
- Language
- en
- Open access
- green
- ir.psych.ac.cn
- Licence
- Locations
- Nature Human Behaviour (publishedVersion)
- PubMed (publishedVersion)
- Institutional Repository of Institute of Psychology, Chinese Academy of Sciences (Institute of Psychology, Chinese Academy of Sciences) (submittedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Institutional Repository of Institute of Psychology, Chinese Academy of Sciences (Institute of Psychology, Chinese Academy of Sciences) (submittedVersion, cc-by-nc-sa)
- Topics
- Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Reliability and Agreement in Measurement
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Keywords
- measurement reliability, neuroimaging, individual differences, biomarkers, sample size, reliability improvement
- MeSH terms
- Brain, Humans, Neural Pathways, Neurosciences, Reproducibility of Results, Sample Size, Neuroimaging, Functional Neuroimaging, Datasets as Topic
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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