fMRI and PET scans demonstrate high statistical reliability.
Is it true that fMRI and PET scans demonstrate high statistical reliability?
Partly. The statistical reliability of fMRI and PET scans remains contested, with some studies showing good reproducibility under controlled conditions while comprehensive multiverse analyses highlight consistently low individual-level test-retest reliability.
Verdict: CONTESTED · 6 sources for, 2 against · Last checked
The retrieved literature presents mixed findings. While several specific methodologies, paradigms, or high-field scans report good reproducibility or reliability (e.g., papers 0, 6, 9, 11), broader assessments and multiverse analyses (such as paper 7) demonstrate that individual-level test-retest reliability in task fMRI is often low and highly dependent on analytical pipelines. Therefore, the claim is CONTESTED.
The evidence we hold leans leans supported
How this was weighed
official record 3x · fact-check 2x · hedged 1x · crowd & reference 1x
- Test–retest reliability of arterial spin labeling with commo · peer-reviewed · supports · weight 2 · 2011
- Reliability and reproducibility of the venous excess ultraso · peer-reviewed · supports · weight 1.3 · 2024
- Test–retest reliability of a functional MRI anticipatory anx · peer-reviewed · supports · weight 1.3 · 2008
- A New Functional Magnetic Resonance Imaging Localizer for Pr · peer-reviewed · supports · weight 1.3 · 2022
- An automated algorithm for the detection of cortical interru · peer-reviewed · supports · weight 1.3 · 2018
- Seed‐based test–retest reliability of resting state function · peer-reviewed · supports · weight 1.3 · 2021
- Test–retest reliability of dynamic functional connectivity i · peer-reviewed · refutes · weight 1.3 · 2021
- Impact of analytic decisions on test–retest reliability of i · peer-reviewed · refutes · weight 1.3 · 2024
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Chen, Y., Wang, D. J., & Detre, J. A. (2011). Test–retest reliability of arterial spin labeling with common labeling strategies. doi.org. https://doi.org/10.1002/jmri.22345
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Zhang, X., Liu, J., Yang, Y., Zhao, S., Guo, L., Han, J., & Hu, X. (2021). Test–retest reliability of dynamic functional connectivity in naturalistic paradigm functional magnetic resonance imaging. doi.org. https://doi.org/10.1002/hbm.25736
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Longino, A., Martin, K. C., Leyba, K., McCormack, L., Siegel, G., Sharma, V., Riscinti, M., López, C. O., Douglas, I. S., & Gill, E. (2024). Reliability and reproducibility of the venous excess ultrasound (VExUS) score, a multi-site prospective study: validating a novel ultrasound technique for comprehensive assessment of venous congestion. doi.org. https://doi.org/10.1186/s13054-024-04961-9
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Schunck, T., Erb, G., Mathis, A., Jacob, N., Gilles, C., Namer, I. J., Meier, D., & Luthringer, R. (2008). Test–retest reliability of a functional MRI anticipatory anxiety paradigm in healthy volunteers. doi.org. https://doi.org/10.1002/jmri.21237
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Elin, K., Malyutina, S., Bronov, O., Stupina, E., Marinets, A., Zhuravleva, A., & Dragoy, O. (2022). A New Functional Magnetic Resonance Imaging Localizer for Preoperative Language Mapping Using a Sentence Completion Task: Validity, Choice of Baseline Condition, and Test–Retest Reliability. doi.org. https://doi.org/10.3389/fnhum.2022.791577
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Peters, M., Jong, J. D., Scharmga, A., Tubergen, A., Geusens, P., Loeffen, D., Weijers, R., Boyd, S. K., Barnabe, C., Stok, K. S., Rietbergen, B., & Bergh, J. (2018). An automated algorithm for the detection of cortical interruptions and its underlying loss of trabecular bone; a reproducibility study. doi.org. https://doi.org/10.1186/s12880-018-0255-7
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Nemani, A. & Lowe, M. J. (2021). Seed‐based test–retest reliability of resting state functional magnetic resonance imaging at 3T and 7T. doi.org. https://doi.org/10.1002/mp.15210
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Demidenko, M. I., Mumford, J., & Poldrack, R. (2024). Impact of analytic decisions on test–retest reliability of individual and group estimates in functional magnetic resonance imaging: A multiverse analysis using the monetary incentive delay task. doi.org. https://doi.org/10.1162/imag_a_00262
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